Relevant bibliographies by topics / Lineage decision

Academic literature on the topic 'Lineage decision'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Lineage decision"

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Karasek, Challis, Mohamed Ashry, Chad S. Driscoll, and Jason G. Knott. "A tale of two cell-fates: role of the Hippo signaling pathway and transcription factors in early lineage formation in mouse preimplantation embryos." Molecular Human Reproduction 26, no. 9 (July 9, 2020): 653–64. http://dx.doi.org/10.1093/molehr/gaaa052.

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Abstract In mammals, the first cell-fate decision occurs during preimplantation embryo development when the inner cell mass (ICM) and trophectoderm (TE) lineages are established. The ICM develops into the embryo proper, while the TE lineage forms the placenta. The underlying molecular mechanisms that govern lineage formation involve cell-to-cell interactions, cell polarization, cell signaling and transcriptional regulation. In this review, we will discuss the current understanding regarding the cellular and molecular events that regulate lineage formation in mouse preimplantation embryos with an emphasis on cell polarity and the Hippo signaling pathway. Moreover, we will provide an overview on some of the molecular tools that are used to manipulate the Hippo pathway and study cell-fate decisions in early embryos. Lastly, we will provide exciting future perspectives on transcriptional regulatory mechanisms that modulate the activity of the Hippo pathway in preimplantation embryos to ensure robust lineage segregation.
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Cornejo, Melanie G., Vinciane Mabialah, Stephen M. Sykes, Tulasi Khandan, Cristina Lo Celso, Cécile K. Lopez, Paola Rivera-Muñoz, et al. "Crosstalk between NOTCH and AKT signaling during murine megakaryocyte lineage specification." Blood 118, no. 5 (August 4, 2011): 1264–73. http://dx.doi.org/10.1182/blood-2011-01-328567.

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Abstract The NOTCH signaling pathway is implicated in a broad range of developmental processes, including cell fate decisions. However, the molecular basis for its role at the different steps of stem cell lineage commitment is unclear. We recently identified the NOTCH signaling pathway as a positive regulator of megakaryocyte lineage specification during hematopoiesis, but the developmental pathways that allow hematopoietic stem cell differentiation into the erythro-megakaryocytic lineages remain controversial. Here, we investigated the role of downstream mediators of NOTCH during megakaryopoiesis and report crosstalk between the NOTCH and PI3K/AKT pathways. We demonstrate the inhibitory role of phosphatase with tensin homolog and Forkhead Box class O factors on megakaryopoiesis in vivo. Finally, our data annotate developmental mechanisms in the hematopoietic system that enable a decision to be made either at the hematopoietic stem cell or the committed progenitor level to commit to the megakaryocyte lineage, supporting the existence of 2 distinct developmental pathways.
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Zeddies, Sabrina, Sjoert Jansen, Franca di Summa, Sofieke Klamer, Marion Kleier, Jaap Jan Zwaginga, Marieke von Lindern, C. Ellen Van der Schoot, and Daphne C. Thijssen-Timmer. "MEIS1 Regulates Early Erythroid and Megakaryocytic Lineage Decision." Blood 118, no. 21 (November 18, 2011): 2365. http://dx.doi.org/10.1182/blood.v118.21.2365.2365.

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Abstract Abstract 2365 The transcription factor MEIS1 is essential for definitive hematopoiesis in the mouse embryo and during zebrafish development. MEIS1 deficient mice die at mid gestation, mainly due to a poorly developed HSC compartment and a reduction in myeloerythroid colony forming cells. We have previously shown by comparative transcriptional profiling of all human adult blood cell lineages that MEIS1 is specifically expressed in megakaryocytes (MK). It is however not yet known if and where MEIS1 participates in the human hematopoietic transcription factor hierarchy. We established that primary hematopoietic stem and progenitor (CD34+) cells in human bone marrow had high expression of MEIS1, which was comparable to CD34+ cells in cord blood (CB) and even higher (p<0.01) in mobilized peripheral blood (MPB). Compared to other bone marrow progenitor subsets, MEIS1 expression was highest in hematopoietic stem cells (HSC:CD34+/CD38−) and significantly reduced (p<0.01) in downstream granulocyte monocyte progenitors (GMP:CD34+/CD38+/CD110−/CD45RA+) and megakaryocyte-erythrocyte progenitors (MEP:CD34+/CD38+/CD110+/CD45RA−). We then analyzed the hematopoietic potential of CD34+ cells derived from CB or MPB, in which MEIS1 expression was silenced with short hairpins or overexpressed using lentiviral vectors. Cells were sorted for GFP expression at 48 hours after transduction and evaluated for colony forming potential. MEIS1 knockdown in human CD34+ cells resulted in a near absence of BFU-E, a 70% reduction in CFU-GM and a 25% reduction in CFU-MEG (p<0.01). When transduced CD34+ cells were cultured in suspension with EPO, SCF and IL-3 promoting differentiation towards erythroblasts or with TPO and IL-1β towards megakaryocytes, knockdown of MEIS1 significantly inhibited the proliferation of both erythroblasts and megakaryocytes (p<0.01). In addition, the expression of CD235a on erythroblasts was reduced by 60% (p<0.01) upon MEIS1 knockdown, whereas no changes were detected in the expression of CD41 on MKs. On the other hand, overexpression of MEIS1 altered lineage differentiation of human CD34+ cells without influencing the total outgrowth of colonies, inducing a 3-fold increase of BFU-E and a 2.5-fold increase in CFU-MEG at the expense of a 3-fold reduction in CFU-GM. Furthermore, since established erythroblast cultures were not affected by knockdown of MEIS1, we hypothesized that MEIS1 might regulate the erythroid/megakaryocytic lineage decision in the common myeloid progenitor (CMP). To test this hypothesis, we sorted CMPs (CD34+/CD38+/CD110−/CD45RA−), transduced the cells with MEIS1 and evaluated their colony forming potential. Indeed, overexpression of MEIS1 in CMP induced an increase in CFU-MEG and BFU-E and a striking absence of CFU-GM. When MEIS1 was overexpressed in GMP no differences were observed compared to the empty vector. In summary, MEIS1 expression in primary human progenitor cells is essential for the formation of myeloid cells, erythroblasts and megakaryocytes. However, a surplus of MEIS1 inhibits myeloid differentiation and enhances erythroid and megakaryocytic development. We therefore conclude that MEIS1 is a novel regulator for differentiation of human CMPs and that gene dosage of MEIS1 determines its lineage fate decisions. Disclosures: No relevant conflicts of interest to declare.
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VALDEZ, P., and E. ROBEY. "Notch and the CD4 Versus CD8 Lineage Decision." Cold Spring Harbor Symposia on Quantitative Biology 64 (January 1, 1999): 27–32. http://dx.doi.org/10.1101/sqb.1999.64.27.

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Taniuchi, Ichiro. "Transcriptional regulation in helper versus cytotoxic-lineage decision." Current Opinion in Immunology 21, no. 2 (April 2009): 127–32. http://dx.doi.org/10.1016/j.coi.2009.03.012.

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Akashi, Koichi. "Lymphoid Lineage Fate Decision of Hematopoietic Stem Cells." Annals of the New York Academy of Sciences 1176, no. 1 (September 2009): 18–25. http://dx.doi.org/10.1111/j.1749-6632.2009.04570.x.

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Enver, Tariq, and Sui Huang. "Mathematical Modeling of Transcriptional Regulatory Circuits Defines Cell Fate Attractors and Predicts the Genome-Scale Behaviour of Haemopoietic Progenitor Cells Undergoing a Binary Cell Fate Decision." Blood 106, no. 11 (November 16, 2005): 4219. http://dx.doi.org/10.1182/blood.v106.11.4219.4219.

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Abstract Adopting a lineage from amongst two or more options is a fundamental developmental decision in multicellular organisms. Transcription factors and their binding sites have been studied as candidate instigators of lineage. However, how the logic of gene regulatory networks translates into, for example, a binary lineage decision remains unanswered. We use mathematical modeling to understand a simple lineage decision between two hypothetical lineages A and B governed by a gene circuit containing positive auto-regulation and cross-inhibition between two regulatory factors, a and b (Fig. 1a). Experimental evidence for such a circuit is provided by the regulatory interactions of GATA-1 and PU.1 in erythroid vs. myelomonocytic lineage specification. A set of non linear ordinary differential equations describing this circuit predicts a robust generic dynamics represented in a ‘potential landscape’ (Fig. 1b, and as schematic cross section, Fig. 1c). Strikingly, the model generates three stable states or ‘attractors’ which we infer to correspond to the committed A or B lineage cells and the uncommitted bipotent A/B progenitors, which are characterized by low-level co-expression of both a and b lineage-affiliated regulators. Thus, this bipotent cell fate attractor provides, for the first time, a mathematical rationale for experimental observations of co-expression of lineage-specific regulators in uncommitted cells, a phenomenon termed ‘multi-lineage priming’. The model predicts a particular trajectory in the a/b space for bipotent cells undergoing differentiation. Specifically, lineage determination involves moving towards a region in a/b space that becomes unstable (Fig. 1c bottom) so that the two lineage-committed territories in the a/b-space directly meet (asterisk, Fig. 1b). The precipitous nature of this boundary region is predicted to afford the initiation and consolidation of a lineage decision in response to relatively modest changes in cell intrinsic or extrinsic cues. We tested these predictions through examination of global gene expression profiles of uncommitted FDCP-mix cells undergoing differentiation to erythroid (E) versus myelomonocytic (M) cell fates. Consistent with the model, differentiation down these two paths follows almost identical high-dimensional ‘trajectories’ in gene expression state space during the first 24–48h towards a characteristic, destabilized state, and only hereafter do the trajectories diverge into the attractors that represent the committed cell fates. Specifically, differentiation into myelomonocytic cells was associated with the counterintuitive transient suppression of myeloid specific PU.1, precisely as predicted by the model (Fig. 1b). In conclusion, although the mathematical model describes a small network module rather than the genome-wide gene regulatory, it captures many of the essential features of a multilineage cell differentiation hierarchy and successfully predicts the genome-scale behaviour of cells undergoing differentiation and lineage specification. Figure Figure
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de Leeuw, David C., Willemijn de van den Ancker, Fedor Denkers, Renee X. de Menezes, Theresia M. Westers, Gert J. Ossenkoppele, Arjan A. Van de Loosdrecht, and Linda Smit. "Microrna Profiling Classifies Acute Leukemias of Ambiguous Lineage As Either Acute Myeloid Leukemia or Acute Lymphoid Leukemia." Blood 120, no. 21 (November 16, 2012): 1443. http://dx.doi.org/10.1182/blood.v120.21.1443.1443.

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Abstract Abstract 1443 Introduction Classification of acute leukemia (AL) is based on commitment of the leukemic cells to either the myeloid or the lymphoid lineage. However, a small percentage of AL cases lacks immunophenotypical lineage commitment or displays features of both hematopoietic lineages. These leukemias of ambiguous lineage represent a heterogeneous category of AL that cannot be classified as either myeloid AL (AML) or lymphoid AL (ALL). This presents a major hurdle for choice of treatment, because it is unsettled whether these patients benefit from AML or ALL treatment regimens or a mixture of both. Better diagnostic tools to define the lineage of origin for these AL would be instrumental to direct therapy decision making. MicroRNAs are small single stranded RNA molecules which regulate gene expression by promoting degradation of mRNAs or repressing their translation. MicroRNA expression profiles have been shown to accurately discriminate AL of the lymphoid lineage from AL of the myeloid lineage. Here, we investigated microRNA expression profiles of leukemias of ambiguous lineage to classify them as either AML or ALL. Methods MicroRNA expression profiles of nine patients with leukemia of ambiguous lineage and eleven patients with AML, B-ALL or T-ALL were analyzed using microarray analysis. MicroRNAs differentially expressed between the myeloid and lymphoid lineage were selected using Linear Model for Microarray Analysis (LIMMA) and used for unsupervised clustering of the ambiguous lineage leukemias with the AML, B-ALL and T-ALL samples. The top five most discriminating microRNAs were selected for qRT-PCR validation in eight additional ambiguous lineage cases, five AML or ALL cases and two control cell lines. Results Unsupervised clustering analysis of the AML, B-ALL and T-ALL samples resulted in a clear separation between the myeloid and lymphoid lineages. Top differentially expressed microRNAs were miR-199b, miR-27a/b, miR-223, miR-23a, miR-221 and miR-150. When comparing leukemias of ambiguous lineage with AML, B-ALL and T-ALL using LIMMA, no clear differences were found, indicating that leukemias of ambiguous lineage are not a separate entity. Moreover, unsupervised clustering of all AL samples using the top 10 percent of most variable microRNAs resulted in clustering of leukemias of ambiguous lineage with either AML, B-ALL or T-ALL and showed comparable expression profiles. Expression analysis by qRT-PCR of the five most discriminative microRNAs on the additional samples, including leukemias of ambiguous lineage, was able to accurately assign these leukemias to the lineage of origin. Conclusion MicroRNA expression profiling of leukemias of ambiguous lineage indicated the presence of a myeloid or lymphoid lineage-specific genotype despite an indistinct immunophenotype. Analyzing microRNA expression at diagnosis to classify acute leukemias of ambiguous lineage as either AML or ALL might be instrumental to therapeutic decision making. Disclosures: No relevant conflicts of interest to declare.
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Orgogozo, Virginie, François Schweisguth, and Yohanns Bellaïche. "Binary cell death decision regulated by unequal partitioning of Numb at mitosis." Development 129, no. 20 (October 15, 2002): 4677–84. http://dx.doi.org/10.1242/dev.129.20.4677.

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An important issue in Metazoan development is to understand the mechanisms that lead to stereotyped patterns of programmed cell death. In particular, cells programmed to die may arise from asymmetric cell divisions. The mechanisms underlying such binary cell death decisions are unknown. We describe here a Drosophila sensory organ lineage that generates a single multidentritic neuron in the embryo. This lineage involves two asymmetric divisions. Following each division, one of the two daughter cells expresses the pro-apoptotic genes reaper and grim and subsequently dies. The protein Numb appears to be specifically inherited by the daughter cell that does not die. Numb is necessary and sufficient to prevent apoptosis in this lineage. Conversely, activated Notch is sufficient to trigger death in this lineage. These results show that binary cell death decision can be regulated by the unequal segregation of Numb at mitosis. Our study also indicates that regulation of programmed cell death modulates the final pattern of sensory organs in a segment-specific manner.
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Brown, Geoffrey. "Towards a New Understanding of Decision-Making by Hematopoietic Stem Cells." International Journal of Molecular Sciences 21, no. 7 (March 29, 2020): 2362. http://dx.doi.org/10.3390/ijms21072362.

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Cells within the hematopoietic stem cell compartment selectively express receptors for cytokines that have a lineage(s) specific role; they include erythropoietin, macrophage colony-stimulating factor, granulocyte colony-stimulating factor, granulocyte/macrophage colony-stimulating factor and the ligand for the fms-like tyrosine kinase 3. These hematopoietic cytokines can instruct the lineage fate of hematopoietic stem and progenitor cells in addition to ensuring the survival and proliferation of cells that belong to a particular cell lineage(s). Expression of the receptors for macrophage colony-stimulating factor and granulocyte colony-stimulating factor is positively autoregulated and the presence of the cytokine is therefore likely to enforce a lineage bias within hematopoietic stem cells that express these receptors. In addition to the above roles, macrophage colony-stimulating factor and granulocyte/macrophage colony-stimulating factor are powerful chemoattractants. The multiple roles of some hematopoietic cytokines leads us towards modelling hematopoietic stem cell decision-making whereby these cells can ‘choose’ just one lineage fate and migrate to a niche that both reinforces the fate and guarantees the survival and expansion of cells as they develop.
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Dissertations / Theses on the topic "Lineage decision"

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Meng, Lingzhang [Verfasser]. "The impact of B-lineage derived IL-10 on fate decision of monocyte differentiation / Lingzhang Meng." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2016. http://d-nb.info/1096832577/34.

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Chain, Jennifer Lee. "Elucidating the mechanisms of the human [alphabeta] vs. [gammadelta] lineage decision and the details of [gammadelta] thymocyte development." Oklahoma City : [s.n.], 2005.

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Bröske, Ann-Marie Elisabeth. "The level of DNA methylation impacts self-renewal capacity and lineage choices of hematopoietic stem cells." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2010. http://dx.doi.org/10.18452/16099.

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DNS-Methylierung ist ein zentraler epigenetischer Prozess, der essentiell für die Differenzierung embryonaler Stammzellen ist, über dessen Funktion in somatischen Zellen allerdings wenig bekannt ist. In der vorliegenden Doktorarbeit wurden zwei Mausmodelle analysiert, um die Rolle der durch DNS Methyltransferase 1 (DNMT1) hergestellten DNS-Methylierung im adulten hämatopoetischen System zu untersuchen. Als erstes wurde ein „Knockout“-Modell gewählt, um DNMT1 im hämatopoetischen System zu eliminieren. Des Weiteren wurde eine Mausmutante mit reduzierter DNMT1 Expression analysiert. Die vollständige Entfernung von DNMT1 aus dem hämatopoetischen System adulter Mäuse resultierte in Zytopenie und Anämie, gefolgt vom raschen Tod aller Tiere. Die Analyse des Knochenmarks dieser Mäuse zeigte einen fast vollständigen Verlust von hämatopoetischen Stamm- sowie Vorläuferzellen. Dies zeigt, dass die durch DNMT1 erzeugte DNS-Methylierung essentiell für Homöostase und Differenzierung von hämatopoetischen Stammzellen ist. Mäuse mit reduzierter DNMT1 Expression hingegen sind lebensfähig und zeigen einen niedrigen Grad an DNS-Methylierung in verschiedensten Geweben, einschließlich des hämatopoetischen Systems. Durch eine detaillierte phänotypische und funktionelle Analyse der hämatopoetischen Stammzellen zeigte sich, dass der veränderte DNS-Methylierungsgrad ein vermindertes Selbsterneuerungspotenzial zur Folge hat. Interessanterweise fehlen DNMT1 hypomorphen Mäusen lymphoide Vorläuferzellen sowie reife lymphoide Zellen, wohingegen myeloide und erythroide Zellpopulationen keine Veränderungen zeigten. Genomweite Expressionsanalysen von Stammzellen sowie myeloiden Vorläuferzellen zeigten, dass hypomethylierte Stammzellen eine verfrühte myeloerythroide Entwicklung vollziehen und liefern damit eine Erklärung für den Verlust des Selbsterneurungspotenzials und der lymphoiden Entwicklung. Diese Resultate identifizieren eine bis hierhin unbekannte Funktion von spezifischen DNS-Methylierungsgraden für die Steuerung von funktionellen Programmen wie Selbsterneuerung und Differenzierung in hämatopoetischen Stammzellen.
DNA methylation is one of the major epigenetic mechanisms which is known to play a role in embryonic stem cell fate, but its function in somatic stem cells is not well understood. In this thesis two different genetic mouse models were chosen to address the role of DNA methyltransferase 1 (DNMT1) controlled DNA methylation in adult hematopoiesis. First, a conditional knockout approach was used to delete DNMT1 in the adult hematopoietic system. Second, DNMT1 hypomorphic mice with reduced DNMT1 expression were analyzed. Complete DNMT1 deletion in hematopoietic cells led to severe cytopenia and anemia causing rapid lethality of all animals. Bone marrow analysis revealed an almost complete absence of hematopoietic stem and progenitor cells in DNMT1 ablated primary mice as well as in secondary chimeric mice. These results indicated that DNMT1 controlled maintenance of DNA methylation is indispensable for HSCs preservation and differentiation. In contrast to complete DNMT1 deletion, mice with hypomorphic DNMT1 expression were viable, but showed low methylation levels in multiple tissues including the hematopoietic system. Detailed phenotypical and functional analysis of the hypomethylated hematopoietic stem cell (HSCs) compartment revealed an impaired homeostasis and self-renewal capacity. Intriguingly, mutant animals had profoundly reduced lymphoid cell compartments, whereas myeloid and erythroid compartments were unchanged. Expression profiling of stem and myeloid progenitor cells unexpectedly demonstrated that reduced DNA methylation forces the HSC to adopt a myeloid lineage identity. These results, showing the inability of hypomethylated HSCs to maintain an undifferentiated state, provided an explanation for their disturbed capability to self-renew and produce lymphocytes. Taken together, these findings suggest that distinct levels of DNA methylation are required to control different functional programs such as self-renewal and alternative lineage choices in HSCs, thus uncovering a previously unrecognized function for DNMT1 activity.
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Di, Tullio Alessandro 1982. "Reprogramming of B cells into macrophages: mechanistic insights." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/85722.

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Our earlier work has shown that pre-B cells can be converted into macrophages by the transcription factor C/EBPα at very high frequencies and also that a clonal pre-B cell line with an inducible form of C/EBPα can be converted into macrophage-like cells. Using these systems we have performed a systematic analysis of the questions whether during transdifferentiation the cells retrodifferentiate to a precursor cell state and whether cell cycle is required for reprogramming. As for the first question, a transcriptome analysis of transdifferentiating cells showed that most genes are continuously up or downregulated, acquiring a macrophage phenotype within 5 days. In addition, we observed the transient reactivation of a subset of immature myeloid markers, as well as low levels of the progenitor markers Kit and Flt3 and a few lineage inappropriate genes. Importantly, we were unable to observe the re-expression of cell surface marker combinations that characterize hematopoietic stem and progenitor cells (HSPCs), including c-Kit and Flt3. This was the case even when C/EBPα was activated in pre-B cells under culture conditions that favor HSPC growth or when the transcription factor was activated in a time limited fashion. As for the second question, using the C11-inducible pre-B cell line, time-lapse experiments showed that a subpopulation of about 8% of the pre-B cells did not divide before acquiring macrophage properties, with the majority of cells dividing once and a few percent dividing twice. In agreement with these results we found that 8% of the induced cells did not incorporate BrdU during reprogramming. Importantly, the non-dividing cell subset expressed the highest levels of C/EBPα and was the fastest in acquiring a macrophage phenotype. Inhibition of DNA synthesis by aphidicolin led to an impairment of transdifferentiation in >70% of the cells, suggesting a requirement for traversing the cell cycle. However, sorting pre-B cells into G0/G1 and G2/M fractions followed by induction showed no significant differences in the reprogramming kinetics. Finally, we showed that knocking down p53 in the inducible pre-B cells does not alter their conversion into macrophages, suggesting that an acceleration of the cell cycle has no effect. Together, our findings show that the conversion of pre-B cells to macrophages does not involve overt retrodifferentiation and that high concentrations of C/EBPα bypass the cell cycle-dependency of immune cell transdifferentiation
Recientemente, nuestro grupo ha demostrado que las células pre-B se pueden reprogramar a macrófagos mediante la sobreexpresión del factor de transcripción C/EBP, con una eficiencia elevada. Así mismo, mediante la expresión de la forma inducible de C/EBP en una línea de células pre-B (C11), éstas también se puede convertir en células similares a macrófagos. Usando este sistema hemos estudiado si durante el proceso de trans-diferenciacion las células requieren volver a un estadio de célula precursora, y si el ciclo celular es necesario para este proceso. En cuanto a la primera cuestión, el análisis del transcriptoma de células trans-diferenciadas mostró que la expresión de la mayoría de los genes están regulados durante todo el proceso bien aumentando o disminuyendo, y que adquieren el fenotipo de macrófago a los 5 días después de iniciar el proceso. Así mismo, se observó la reactivación transitoria de un grupo de genes que codifican para marcadores de células mieloides inmaduras; también cabe destacar que observamos una disminución en la expresión de los genes expresados en células progenitoras Kit y Flt3, así como de genes de linajes impropios. Es importante destacar que nunca hemos llegado a observar la expresión de combinaciones de marcadores de superficie característicos de las células madre hematopoyéticas y las células progenitoras (HSPCs), incluyendo c-Kit y Flt3, mediante el análisis por citometría de flujo. Estos resultados se reprodujeron incluso cuando C/EBP se sobreexpresó en células pre-B que fueron cultivadas en condiciones que favorecen el crecimiento de las HSPC o cuando el factor de transcripción se activó de forma limitada en el tiempo. En cuanto a la segunda pregunta, usando la línea de células inducibles pre-B C11, el análisis mediante microscopia a diferentes tiempos después de la inducción de la reprogramación mostraron que una subpoblación de aproximadamente el 8% de las células pre-B no se dividen antes de adquirir las propiedades de macrófago, mientras que la mayoría de las células se dividen sólo una vez y un pequeño porcentaje dos veces antes de que se reprogramen totalmente a macrófagos. De acuerdo con estos resultados se encontró que un 8% de las células inducidas no incorporan BrdU durante la reprogramación. Es importante destacar que el subconjunto de células que no se dividen expresan los niveles más altos de C/EBP, con lo que cabe pensar que la adquisición del fenotipo de macrófago es más rápida en estas células. La inhibición de la síntesis de ADN por afidicolina bloqueó la transdiferenciación en mas de un 70% de las células, lo que sugiere que la correcta progresión del ciclo celular es un requisito para la transdiferenciación. Sin embargo, al separar la linea de células pre-B C11 en fracciones G0/G1 y G2/M seguido de la inducción, la cinética de la reprogramación no mostró diferencias significativas. Por último, también demostramos que la reducción en la expresión de p53 en las células pre-B inducibles no altera el proceso de conversión a macrófago, lo que sugiere que la aceleración del ciclo celular no tiene ningún efecto. En conjunto, nuestros resultados muestran que la conversión de células pre-B a macrófagos no requiere retro-diferenciación y que las células con una expresión mayor de C/EBP pueden llegar a prescindir de la dependencia del ciclo celular para la trans-diferenciación de las células inmunitarias.
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Morgani, Sophie Maria. "Signalling and transcriptional regulation of early developmental lineage decisions." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9660.

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Embryonic stem (ES) cells are cell lines isolated from the embryo at a time just prior to implantation into the uterus. In the right cocktail of medium and cytokines, these cell lines can be maintained indefinitely in vitro in a self-renewing state. Initially it was assumed that these cells represented a homogeneous population however, more recently it has been shown that there are a great number of genes that are expressed heterogeneously. ES cell cultures are therefore a mix of different subpopulations, some of which have distinct functional properties including a bias or ‘lineage priming’ towards a particular cell fate. These populations are also dynamic in nature, converting from one state to another with fairly rapid kinetics. The main focus of this thesis was to gain a more in depth understanding of the mechanisms regulating heterogeneity and lineage priming in murine ES cells by asking which signalling pathways play a role in this phenomenon and how the switch between states is regulated at a transcriptional level. These questions were asked using an ES cell line containing a sensitive reporter for the endoderm marker Hex. This reporter, developed by a previous lab member, allowed the identification and separation of a population of ES cells primed towards a primitive endoderm fate. Primarily, I assessed the effect of a defined culture system (2i) on the Hex-expressing population. This culture system contains inhibitors that block FGF signalling and the Wnt pathway component GSK3. Culturing ES cells in 2i has been suggested to generate a more homogeneous culture. Here, I have shown that culturing ES cells or pre-implantation embryos in 2i did not eliminate heterogeneity but maintained them in an early state prior to lineage segregation. When ES cells were cultured in standard serum-containing medium, Hex was expressed in a mutually exclusive manner with the embryonic marker NANOG, while in 2i a subpopulation of cells coexpressed both Hex and NANOG. This population was functionally primed towards extraembryonic endoderm and trophoblast. Furthermore, these ES cells could efficiently contribute to 2-cell embryos in chimaera assays. LIF signalling promoted this population through the JAK/STAT pathway. I then asked how transcription was regulated during the switch between unprimed ES cells to those primed towards a primitive endoderm fate, as well as how regulation changes during further differentiation. To ask this, Hex positive (primed) and negative (unprimed) ES cell populations were sorted as well as a Hex positive differentiated sample. These samples were analysed by GRO-seq to determine the location, density and orientation of RNA-polymerase throughout the genome. Changes in gene expression between primed and unprimed states were regulated primarily through elongation whereas genes upregulated during differentiation were regulated at the point of de novo initiation.
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Koutsoukis, Nikitas-Spiros. "Decision modelling and information systems : the interaction of information and decision technologies." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263519.

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Braathen, Jørgen, and Anders Lund Eriksrud. "Hydropower Bidding Using Linear Decision Rules." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-24844.

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This thesis investigates the Linear Decision Rule (LDR) approach applied to the bidding problem of a Nordic hydropower producer with reservoir capacity. A stochastic programming model with piecewise LDR in the spot prices is developed. A comprehensive case study with uncertain spot prices conducted for the fall of 2012 shows that the LDR model performs equally well as a scenario based model on expectation, yet with a smaller standard deviation in the profits. The runtime of the LDR model is substantially longer than the runtime of the scenario based model. Therefore, promising techniques to reduce the runtime are developed and presented.
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Mendes, Mirian Patricia Sanches. "Aplicação da programação linear na decisão económica de investimento." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Ciências Empresariais, 2014. http://hdl.handle.net/10400.26/7883.

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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Contabilidade e Finanças
Considerando o atual contexto empresarial, que se caracteriza por uma elevada competitividade a nível global, é essencial que os gestores tomem decisões que contribuam para criação de valor e para a sustentabilidade competitiva das empresas. Assim, o objetivo desta dissertação de mestrado é evidenciar que a programação linear pode contribuir para a maximização da criação de valor, através da sua utilização no estudo das decisões económicas de investimento das empresas. Tais decisões acarretam riscos elevados porque condicionam a capacidade de produção e o tipo de vantagens competitivas a criar e, por isso, devem ser capazes de responder ao nível de crescimento esperado do mercado e aos fatores críticos de sucesso dos negócios. Para além disso, são decisões que envolvem normalmente montantes avultados de capitais e que exigem a entrada de dinheiro por parte dos proprietários e a negociação de fontes de financiamento de médio e longo prazo que irão condicionar durante muito tempo a tesouraria da empresa. Como tal, este trabalho de investigação pretende, através da realização de um estudo de caso sobre uma empresa de serviços, evidenciar que a programação linear poderá dar um forte contributo sobre a otimização deste tipo de decisões. O trabalho é constituído por duas partes principais. A primeira contém uma revisão bibliográfica dos principais assuntos abordados, tanto ao nível dos conceitos financeiros como da programação linear. A segunda parte, relativa ao estudo empírico, é constituída pelo capítulo 3, onde são descritos mais em pormenor os objetivos e a metodologia de investigação utilizada e pelo capítulo 4 onde é desenvolvido o estudo de caso. Por fim, ainda são apresentadas as principais conclusões sobre o trabalho desenvolvido. Ao nível dos resultados de investigação obtidos, demonstra-se que através da aplicação da programação linear é possível maximizar os cash-flows anuais, através da determinação do mix de serviços que a empresa deve oferecer, considerando os preços de venda, a estrutura de custos e de ativos, bem como a capacidade dos recursos existentes (Horas/Homem de cada tipo de serviço a realizar).
Considering the current business environment that is characterized by high global competitiveness, it is essential that managers make decisions that contribute to value creation and competitive sustainability of companies. Thus, the objective of this thesis is to show that linear programming can contribute to the maximization of value creation through their use in the study of economic investment decisions of companies. Such decisions entail high risks, because they limited the capacity and the type of competitive advantages to create, and therefore must be able to respond to the expected level of market growth and to the critical factors of business success. Furthermore those decisions usually involve large amounts of capital and require entry of money by owners and the negotiation of medium and long term funding sources that will limit for a long time the treasure of the company. As such, this research work intends to show, by conducting a case study on a service company, that linear programming can make a strong contribution on the optimization of these kinds of decisions. The thesis consists of two mains parts. The first part contains a literature review of the main issues discussed both to the concept of financial and linear programming. The second part on the empirical study is composed by chapter 3 where described in more detail the objectives and the methodology used, and chapter 4 where the case study is developed. In relation to the results of the investigation, it is demonstrated that by applying linear programming it is possible to maximize the annual cash flows, by determining the mix of services that the company should offer, considering the sales prices, the structure of costs and assets, as well as the capacity of existing resources (hours/man of each type of service to be attain).
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Patrascu, Relu-Eugen. "Linear Approximations For Factored Markov Decision Processes." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1171.

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A Markov Decision Process (MDP) is a model employed to describe problems in which a decision must be made at each one of several stages, while receiving feedback from the environment. This type of model has been extensively studied in the operations research community and fundamental algorithms have been developed to solve associated problems. However, these algorithms are quite inefficient for very large problems, leading to a need for alternatives; since MDP problems are provably hard on compressed representations, one becomes content even with algorithms which may perform well at least on specific classes of problems. The class of problems we deal with in this thesis allows succinct representations for the MDP as a dynamic Bayes network, and for its solution as a weighted combination of basis functions. We develop novel algorithms for producing, improving, and calculating the error of approximate solutions for MDPs using a compressed representation. Specifically, we develop an efficient branch-and-bound algorithm for computing the Bellman error of the compact approximate solution regardless of its provenance. We introduce an efficient direct linear programming algorithm which, using incremental constraints generation, achieves run times significantly smaller than existing approximate algorithms without much loss of accuracy. We also show a novel direct linear programming algorithm which, instead of employing constraints generation, transforms the exponentially many constraints into a compact form more amenable for tractable solutions. In spite of its perceived importance, the efficient optimization of the Bellman error towards an approximate MDP solution has eluded current algorithms; to this end we propose a novel branch-and-bound approximate policy iteration algorithm which makes direct use of our branch-and-bound method for computing the Bellman error. We further investigate another procedure for obtaining an approximate solution based on the dual of the direct, approximate linear programming formulation for solving MDPs. To address both the loss of accuracy resulting from the direct, approximate linear program solution and the question of where basis functions come from we also develop a principled system able not only to produce the initial set of basis functions, but also able to augment it with new basis functions automatically generated such that the approximation error decreases according to the user's requirements and time limitations.
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Spiropoulos, Takis. "Decision support for management using Bayes linear influence diagrams." Thesis, University of Sunderland, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259788.

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Books on the topic "Lineage decision"

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Faulkner, Laurie. Linear programming for management decision making. Leicester: Leicester Business School, De Montfort University, 1992.

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Bartels, Sibylle. Entwicklung und Beurteilung von Aggregationsstrategien für lineare Entscheidungsmodelle. Frankfurt am Main: P. Lang, 1986.

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Eiguren, Jakoba. Soft-decision decoding algorithms for linear block codes. Manchester: University of Manchester, 1994.

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Pham, Khanh D. Linear-Quadratic Controls in Risk-Averse Decision Making. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5079-5.

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Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 7th ed. Minneapolis/St. Paul: West Pub. Co., 1994.

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Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 8th ed. Minneapolis/St. Paul: West Pub. Co., 1997.

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Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 5th ed. St. Paul: West Pub. Co., 1988.

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J, Sweeney Dennis, and Williams Thomas Arthur 1944-, eds. An introduction to management science: Quantitative approaches to decision making. 4th ed. St. Paul: West Pub. Co., 1985.

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Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 6th ed. St. Paul, Minn: West Pub. Co., 1991.

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J, Sweeney Dennis, and Williams Thomas Arthur 1944-, eds. An introduction to management science: Quantitative approaches to decision making. 9th ed. Cincinnati: South-Western College Publishing, 2000.

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Book chapters on the topic "Lineage decision"

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Hoffman, Eric S., Lorena Passoni, Erastus C. Dudley, Michael Girardi, and Adrian Hayday. "The αβ/γδ Lineage Decision." In Molecular Biology of B-Cell and T-Cell Development, 367–96. Totowa, NJ: Humana Press, 1998. http://dx.doi.org/10.1007/978-1-4757-2778-4_19.

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Kroening, Daniel, and Ofer Strichman. "Linear Arithmetic." In Decision Procedures, 97–133. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50497-0_5.

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Owen, Guillermo. "Linear Programming." In Theory and Decision Library, 27–112. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4991-8_2.

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Rommelfanger, Heinrich. "Lineare Optimierungsmodelle mit Flexiblen Restriktions-Grenzen." In Fuzzy Decision Support-Systeme, 170–217. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57929-5_9.

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Kimbrough, Steven Orla, and Hoong Chuin Lau. "Linear Programming." In Business Analytics for Decision Making, 43–58. Boca Raton: CRC Press, [2016]: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315372426-3.

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de Miranda, João Luís. "Linear Algebra." In Introduction to Optimization-Based Decision-Making, 17–34. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315200323-2.

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Lotov, Alexander V., Vladimir A. Bushenkov, and Georgy K. Kamenev. "Non-Linear Systems and Other New Developments." In Interactive Decision Maps, 129–62. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8851-5_5.

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Lotov, Alexander V., Vladimir A. Bushenkov, and Georgy K. Kamenev. "Perturbations of Solution Sets of Linear Systems." In Interactive Decision Maps, 263–78. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-8851-5_9.

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Srinivasan, R. "Introduction to Linear Programming." In Strategic Business Decisions, 9–21. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1901-9_2.

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Rommelfanger, Heinrich. "Lineare Optimierungsmodelle mit Fuzzy-Restriktionen und/oder Fuzzy-Zielen." In Fuzzy Decision Support-Systeme, 218–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57929-5_10.

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Conference papers on the topic "Lineage decision"

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Azevedo, Leonardo Guerreiro, Renan Souza, Raphael Melo Thiago, Elton Soares, and Marcio Moreno. "Experiencing ProvLake to Manage the Data Lineage of AI Workflows." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação (SBC), 2020. http://dx.doi.org/10.5753/sbsi.2020.13144.

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Machine Learning (ML) is a core concept behind Artificial Intelligence systems, which work driven by data and generate ML models. These models are used for decision making, and it is crucial to trust their outputs by, e.g., understanding the process that derives them. One way to explain the derivation of ML models is by tracking the whole ML lifecycle, generating its data lineage, which may be accomplished by provenance data management techniques. In this work, we present the use of ProvLake tool for ML provenance data management in the ML lifecycle for Well Top Picking, an essential process in Oil and Gas exploration. We show how ProvLake supported the validation of ML models, the understanding of whether the ML models generalize respecting the domain characteristics, and their derivation.
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Ma, Jing, Guijian Yu, Chengcheng Wang, Xiaowei Jin, Chuanzhen Zang, Qing Li, Hongtao Wang, et al. "Best Practice of Bit Optimization in a Strong Heterogeneity Conglomeratic Sandstone Reservoir: 8 Years Case History from Juggar Basin, West China." In IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201086-ms.

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Abstract MH oilfield, located in the Junggar Basin, in Xin Jiang Province of northwest China, is the world largest conglomerate reservoir with a fan-delta sedimentary environment. This long-term project can be traced back to 2012, and since then has gone through many technology revolutions and optimizations. At the end of 2017, the drilling performance of one main block inside MH oilfield, M18, was not optimistic when compared with other blocks. The extremely high formation hetergenity of the field made it very challenging to choose the right bit at the right time. This long-term project has brought to light the dedicated, quantifying study of the rock property differences throughout this field and inside each block. To solve this tough bit selection problem, geologic data was interpreted for engineering use. Two lines of data were processed. One was offset analysis based on the current run records to optimize bit designs, and the other was rock property interpretation and simulation to predict the formation variation, which covers the unconfined compressive strength (UCS), confined compressive strength (CCS) abrasion, impact simulations, layer correlations, statistical analysis and contour mappings of interest zones. This paper will summarize the field history, delineate the bit design lineage in this long-term project, and then mainly focus on geology simulations. The objective of this paper is bring to light the importance of CCS simulations to predict the bit performance and help the bit design and selection; provide a bit design lineage and bit optimization workflow for the drilling operation to optimize the inventory utilization and streamline the decision-making loop; provide a case study with coordinating multiple disciplinary teams to achieve specified objective; and provide a concept of integration of geology and engineering in the
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Badarinath, Rakshith, Kai-Wen Tien, and Vittaldas Prabhu. "Unified Control of Production, Capacity, and Pre-Emptive Maintenance of Fused Filament Fabrication Process." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6641.

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The quest for smarter manufacturing is motivating the need for operational decisions to be made in real-time to adapt to uncertainties. Prevailing decision-making techniques typically consider each manufacturing function in isolation to reduce the complexity, which in turn leads to sequential decision-making where prior decisions become constraints for subsequent decisions. This paper proposes a unified approach for simultaneously controlling the timing of production events, the timing of maintenance events, and physical processing capacity. Moreover, the control algorithms can be fully distributed and exploit physics-based models for processes and remaining-useful-life of machinery components in real-time decision-making. Fused Filament Fabrication (FFF) additive manufacturing process is used as an example in the paper to demonstrate the unified approach. Dynamics of the resulting unified control system is modeled using non-linear discontinuous differential equations. Computer simulations are used to illustrate dynamic interactions between production and maintenance functions. Benchmarking of the unified control approach for randomly generated datasets show superior performance compared to other commonly used scheduling heuristics by about 48%.
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Björner, Anders, László Lovász, and Andrew C. C. Yao. "Linear decision trees." In the twenty-fourth annual ACM symposium. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/129712.129730.

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Krishnamachari, Ramprasad, Srinivas Vadde, Janet K. Allen, and Farrokh Mistree. "Simultaneous Kinematic and Dynamic Synthesis in the Preliminary Design of a Linkage." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0315.

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Abstract In the early stages of project initiation, all aspects of system design may not be clearly defined. Some information might be uncertain (imprecise or vague). However, important design decisions need to be made in these stages in the presence of uncertainty. Fuzzy sets offer a useful method to represent the imprecision in such situations. Fuzzy compromise Decision Support Problems (DSPs) involving fuzzy membership functions are found to be effective in modeling this uncertainty and making decisions in such situations. A hat-shaped, piecewise linear membership function is introduced which is especially useful when the design space is not well understood. The use of a fuzzy compromise Decision Support Problem in the preliminary design synthesis of mechanical systems is illustrated using a case study involving the synthesis of a four-bar linkage.
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Zhu, Liang, and David Kazmer. "An Extensive Simplex Method Mapping the Global Feasibility." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34115.

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Understanding the global feasibility of engineering decision-making problems is fundamental to the synthesis of rational engineering decisions. An Extensive Simplex Method is presented to solve the global feasibility for a linear decision model relating multiple decision variables to multiple performance measures, and constrained by corresponding limits. The developed algorithm effectively traverses all extreme points in the feasible space and establishes the graph structure reflecting the active constraints and their connectivity. The algorithm demarcates basic and nonbasic variables at each extreme point, which is exploited to traverse the active constraints and merge the degenerate extreme points. Finally, a random model generator is presented with the capability to control the matrix sparseness and the model degeneracy for an arbitrary number of decision variables and performance measures. The results indicate that all these model properties are significant factors affect the total number of extreme points, their connected graph, and the global feasibility.
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Kazmer, David, and Liang Zhu. "An Integrated Performance Modeling System." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59100.

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An integrated performance modeling system is presented for use in general decision making problems including engineering design, manufacturing process and quality control, and other applications. The system relies on a function matrix that relates decision variables to performance variables. The system utilizes both global and local linearization of non-linear functions, after which the Extensive Simplex Method is used to derive the set of all feasible decisions based upon the specification limits for the performance variables and the control limits on the decision variables. Beyond current Six Sigma best practices, the described system explicitly considers both modeling uncertainty and uncontrolled variation. The specification limits may be automatically tightened by the confidence intervals and variation limits to ensure feasibility to a desired level of confidence and robustness. Three sets of feasible decisions are established including 1) the global feasible set that establishes the extreme limits of feasibility by allowing all the decision variables to vary simultaneously within their range of the control limits, 2) the local feasibility, which shows the immediate feasibility for each decision variable holding other decision variables at their current value, and 3) the controllable feasibility for each performance variable holding other performance variables at their current value. The system provides a perspective view of 1) the function matrix, 2) a historical view of the decision variables which may be used in a manner similar to statistical process control X-Bar charts, 3) a historical view of the performance variables which may be used in a manner similar to statistical quality control charts, 4) a set of decision windows showing the joint feasibility of all pairs of decision variables, which may be used in a manner similar to process windows, and 5) a set of performance windows showing the joint feasibility of all pairs of performance variables, which may be used in a manner similar to Pareto Optimal graphs. An example is provided for a beam design model with four decision variables and three performance variables.
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Pandey, Vijitashwa, Zissimos P. Mourelatos, and Matthew P. Castanier. "Decision Topology Assessment in Engineering Design Under Uncertainty." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34244.

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The implications of decision analysis (DA) on engineering design are well known. Recently, the authors proposed decision topologies (DT) as a visual method for making design decisions and proved that they are consistent with normative decision analysis. This paper addresses the practical issue of assessing DTs for a decision maker (DM) using their responses, particularly under uncertainty. This is critical to encoding decision maker preferences so that further analysis and mathematical optimization can be performed using the correct set of preferences. We show how multiattribute DTs can be directly assessed from DM responses. Four methods are shown to evolutionarily assess DTs among which one that requires the DM to rank alternatives and another where a utility function is first assessed. It is also shown that preferences under uncertainty can be easily incorporated. In addition, we show that topologies can be constructed using single attribute topologies similarly to multi-linear functions in utility analysis. This incremental construction simplifies the process of topology construction. The reverse problem of inferring single attribute DTs is also presented. The proposed assessment methods are used on a design decision making problem of a welded beam.
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Shao, Yufen, Jizhou Li, Ming–Jung Seow, Yuzixuan Zhu, Yuanyuan Guo, Daman Pradhan, Deepak Malpani, and Kevin Furman. "Integrated Concept Analytics and Development Optimization Under Uncertainties." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211442-ms.

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Abstract Decision-making complexity in the oil and gas industry has risen dramatically in recent years, especially in consideration of uncertainties related to geopolitics, policies, marketing, subsurface resources etc. To enable decision making with the best quality opportunities and projects, we are developing an integrated suite of machine augmented mathematical technologies to recommend holistic decisions for concept selection and development planning under uncertainties. Our ongoing technology development is progressing a set of prototypes and use cases including: 1) AI-based uncertainty handling technologies aiming to detect uncertainties, quantify impacts, and translate to influence factors for decision-making (e.g., IRR, cost); 2) Decision-driven surrogate reservoir models approximating subsurface dynamics to enable rapid concept screening; 3) a set of mathematical optimization-based decision models in the form of mixed-integer linear programs (MILP) to provide solution alternatives to address different business challenges under uncertainties. We demonstrate that the use of systematic technical applications combined with human interaction can improve the decision quality significantly by considering all influence factors, searching through the entire decision space, and recommending a range of alternatives for business users to consider with minimal bias. These technologies have been designed to plug into existing processes and platforms to accelerate technology adoption and usage.
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Carnero, María Carmen. "Selección de Aplicación para Gamificación en una Asignatura de los Grados en Ingeniería Eléctrica y Electrónica Industrial y Automática." In INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10252.

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Debido al gran número de beneficios que reporta, el número de aplicaciones para gamificación se ha incrementado considerablemente desde 2002. Por ello, la selección de la aplicación idónea a emplear en una asignatura universitaria de grado se ha vuelto más compleja. Esta contribución pretende ayudar en esta toma de decisiones proponiendo un modelo objetivo elaborado mediante Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH). Este modelo se ha aplicado a una asignatura de los grados en Ingeniería Eléctrica e Ingeniería Electrónica Industrial y Automática de la Escuela Técnica Superior de Ingenieros Industriales de Ciudad Real, empleándose como centro decisor uno de los profesores de la asignatura. El modelo emplea diez criterios de decisión dispuestos en una estructura jerárquica. Para cada criterio, a partir de una matriz de comparaciones por parejas construida a partir de los juicios emitidos por el centro decisor, se obtiene mediante programación lineal una función de valor. Mediante la aplicación de la metodología MACBETH, y con la ayuda del software M-MACBETH, que emplea un método simple aditivo, se obtiene una clasificación completa de las diferentes aplicaciones para gamificación evaluadas.
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Reports on the topic "Lineage decision"

1

Strichman, Ofer. Optimizations in Decision Procedures for Propositional Linear Inequalities. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada461194.

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Sadigh, Dorsa, Eric Kim, Samuel Coogan, S. S. Sastry, and Sanjt A. Seshia. A Learning Based Approach to Control Synthesis of Markov Decision Processes for Linear Temporal Logic Specifications. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada623517.

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Hoffmann, Bridget, and Juan Pablo Rud. Exposure and Income: Preliminary Findings on Labor Supply on High Pollution Days. Inter-American Development Bank, November 2021. http://dx.doi.org/10.18235/0003760.

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We study labor supply decisions on days with high levels of air pollution in Mexico City's metropolitan area using hourly levels of fine particulate matter (PM 2.5) air pollution at the locality level. We document a negative, non-linear relationship between PM 2.5 levels and daily labor supply, with strong effects on days with extremely high pollution levels. On these days, the average worker experiences a reduction of around 7.5% of working hours. Workers partially compensate for lost hours by increasing their labor supply on days that follow high pollution days. We provide evidence that income constraints may play an important role in workers labor supply decisions, as we find more moderate responses among informal and low-income workers.
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Borgwardt, Stefan, and Barbara Morawska. Finding Finite Herbrand Models. Technische Universität Dresden, 2011. http://dx.doi.org/10.25368/2022.182.

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We show that finding finite Herbrand models for a restricted class of first-order clauses is ExpTime-complete. A Herbrand model is called finite if it interprets all predicates by finite subsets of the Herbrand universe. The restricted class of clauses consists of anti-Horn clauses with monadic predicates and terms constructed over unary function symbols and constants. The decision procedure can be used as a new goal-oriented algorithm to solve linear language equations and unification problems in the description logic FL₀. The new algorithm has only worst-case exponential runtime, in contrast to the previous one which was even best-case exponential.
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Hoffmann, Bridget, and Juan Pablo Rud. Open configuration options Exposure or Income? The Unequal Effects of Pollution on Daily Labor Supply. Inter-American Development Bank, February 2022. http://dx.doi.org/10.18235/0004003.

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We use high-frequency data on fine particulate matter air pollution (PM 2.5) at the locality level to study the effects of high pollution on labor supply decisions and hospitalizations for respiratory disease in the metropolitan area of Mexico City. We document a negative, non-linear relationship between PM 2.5 and same-day labor supply, with strong effects on days with extremely high pollution levels. On these days, the average worker experiences a reduction of around 7.5% of working hours. Workers partially compensate for lost hours by increasing their labor supply on days that follow high-pollution days. Informal workers reduce their labor supply less than formal workers on high-pollution days and also compensate less on the following days. This suggests that informal workers may experience greater exposure to high pollution and greater reductions in labor supply and income. We provide evidence that reductions in labor supply due to high pollution are consistent with avoidance behavior and that income constraints may play an important role in workers' labor supply decisions.
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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and operational interdisciplinarity of that challenge, lies the simple formal elegance of a lingua franca for communication with Nature. This emerges from the innermost mathematical core of the Physics of Coevolutionary Complex Systems, articulating the wealth of insights and flavours from frontier natural, social and technical sciences in a coherent, integrated manner. Communicating thus with Nature, we equip ourselves with formal tools to better appreciate and discern complexity, by deciphering a synergistic codex underlying its emergence and dynamics. Thereby opening new pathways to see the “invisible” and predict the “unpredictable” – including relative to emergent non-recurrent phenomena such as irreversible transformations and extreme geophysical events in a changing climate. Frontier advances will be shared pertaining a dynamic that translates not only the formal, aesthetical and functional beauty of the Physics of Coevolutionary Complex Systems, but also enables and capacitates the analysis, modelling and decision support in crucial matters for the environment and society. By taking our emerging Physics in an optic of operational empowerment, some of our pioneering advances will be addressed such as the intelligence system Earth System Dynamic Intelligence and the Meteoceanics QITES Constellation, at the interface between frontier non-linear dynamics and emerging quantum technologies, to take the pulse of our planet, including in the detection and early warning of extreme geophysical events from Space.
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How Linear Thinking in a Non-Linear World Leads to Wrong Decisions. IEDP Ideas for Leaders, November 2017. http://dx.doi.org/10.13007/685.

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