Explore the vast range of titles available.

Glycan biosynthesis simulation research has progressed remarkably since 1997, when the first mathematical model for N-glycan biosynthesis was proposed. An O-glycan model has also been developed to predict O-glycan biosynthesis pathways in both forward and reverse directions. In this work, we started with a set of O-glycan profiles of CHO cells transiently transfected with various combinations of glycosyltransferases. The aim was to develop a model that encapsulated all the enzymes in the CHO transfected cell lines. Due to computational power restrictions, we were forced to focus on a smaller set of glycan profiles, where we were able to propose an optimized set of kinetics parameters for each enzyme in the model. Using this optimized model we showed that the abundance of more processed glycans could be simulated compared to observed abundance, while predicting the abundance of glycans earlier in the pathway was less accurate. The data generated show that for the accurate prediction of O-linked glycosylation, additional factors need to be incorporated into the model to better reflect the experimental conditions.

The fundamental principles of “sustainable development” and “green” promoted by ESG align with the concept of “green and sustainable” development. Enhancing enterprise ESG is a methodical endeavor that necessitates enterprises to possess ESG investment capabilities, coordinate many stakeholders, and leverage the influence of prominent market players. State-owned enterprises (SOEs) possess a specific level of support within a nation’s economy. SOEs serve as a fundamental pillar of China’s socialist economic system with distinctive characteristics, significantly influencing business conduct and reinforcing corporate value orientation. Consequently, the capacity of SOEs to assume a strategic leadership role in enhancing supply chain ESG performance is of paramount importance for the general elevation of ESG standards among Chinese enterprises. Limited research has investigated the transmission effect of the ESG performance among chain enterprises from a supply chain viewpoint, particularly regarding the pivotal role of SOEs in enhancing the ESG performance of these entities. This article examines the influence of SOEs’ ESG performance on the ESG performance of supply chain enterprises, focusing on the spillover effects of SOEs’ ESG performance within the supply chain context. It investigates how SOEs lead upstream and downstream enterprises in enhancing their ESG performance, aiming to address the existing cognitive gap in this area and provide substantial evidence for pertinent theories and practices. This article, employing an empirical research methodology, discovers that the ESG performance of state-owned supply chain core enterprises significantly enhances the ESG performance of enterprises in a supply chain, while non-state-owned supply chain core enterprises do not exhibit this effect. Furthermore, research indicates that this effect is asymmetric: when the supply chain core enterprise is a SOE and the enterprises in the supply chain are non-state-owned, the leading effect is more pronounced, and this effect is more powerful for upstream enterprises. The heterogeneity test reveals that the impact of the ESG performance is more pronounced in larger state-owned supply chain core enterprises that have been publicly listed for an extended duration and operate in highly competitive markets. The conclusions of this essay address the deficiencies of current research and provide significant practical implications for the development of green supply chains in the contemporary era.

We study the effect of boundary conditions on the relaxation time (i.e., inverse spectral gap) of the Glauber dynamics for the hard-core model on the tree. The hard-core model is defined on the set of independent sets weighted by a parameter$\\lambda$ , called the activity or fugacity. The Glauber dynamics is the Markov chain that updates a randomly chosen vertex in each step. On the infinite tree with branching factor$b$ , the hard-core model can be equivalently defined as a broadcasting process with a parameter$\\omega$which is the positive solution to$\\lambda=\\omega(1+\\omega)^b$ , and vertices are occupied with probability$\\omega/(1+\\omega)$when their parent is unoccupied. This broadcasting process undergoes a phase transition between the so-called reconstruction and nonreconstruction regions at$\\omega_r\\approx \\ln{b}/b$ . Reconstruction has been of considerable interest recently since it appears to be intimately connected to the efficiency of local algorithms on locally tree-like graphs, such as sparse random graphs. In this paper we show that the relaxation time of the Glauber dynamics on regular trees$T_h$of height$h$with branching factor$b$and$n$vertices undergoes a phase transition around the reconstruction threshold. In particular, we construct a boundary condition for which the relaxation time slows down at the reconstruction threshold. More precisely, for any$\\omega \\le \\ln{b}/b$ , for$T_h$with any boundary condition, the relaxation time is$\\Omega(n)$and$O(n^{1+o_b(1)})$ . In contrast, above the reconstruction threshold we show that for every$\\delta>0$ , for$\\omega=(1+\\delta)\\ln{b}/b$ , the relaxation time on$T_h$with any boundary condition is$O(n^{1+\\delta + o_b(1)})$ , and we construct a boundary condition where the relaxation time is$\\Omega(n^{1+\\delta/2 - o_b(1)})$ . To prove this lower bound in the reconstruction region we introduce a general technique that transforms a reconstruction algorithm into a set with poor conductance. [PUBLICATION ABSTRACT]

This chapter contains sections titled: Introduction Components and function of the normal bone marrow microenvironment Leukemia and its microenvironment Summary References

This chapter contains sections titled: Introduction Original PCR Nested PCR Multiplex PCR PCR Controls Analysis of PCR Products Hot‐Start PCR PCR Equipment Laboratory Organization References

Purpose The purpose of this paper is to provide new insights into the reactions and lessons learned with regard to the COVID-19 pandemic in terms of how logistics service providers (LSPs) managed to maintain supply chains resilience and what focus areas have been changed to keep operations functional and uphold financial stability. Design/methodology/approach Based on data-gathering techniques in interpretive research this study collected primary data via semi-structured interviews, interviewing informants from selected LSPs that operate on a global scale. Findings The results show that LSPs have built their reactions and actions to the COVID-19 outbreak around five main themes: “create revenue streams,” “enhance operational transport flexibility,” “enforce digitalization and data management,” “optimize logistics infrastructure” and “optimize personnel capacity.” These pillars build the foundation to LSP resilience that enables supply chains to stay resilient during an external shock of high impact and low probability. Originality/value The results of this study provide insights into how LSPs have managed the downsides and found innovative ways to overcome operational and financial challenges during the COVID-19 outbreak. As one of the first studies that specially focuses on the role of LSPs during the COVID-19 pandemic, this study categorizes the LSPs’ reactions and provides a “lessons learned” framework from a managerial perspective. From a theoretical perspective, this paper discusses the strategic role of LSPs in supply chain management and thereby extends current supply chain literature with a focus on LSP resilience.

Advances in control techniques for vibrational quantum states in molecules present new challenges for modelling such systems, which could be amenable to quantum simulation methods. Here, by exploiting a natural mapping between vibrations in molecules and photons in waveguides, we demonstrate a reprogrammable photonic chip as a versatile simulation platform for a range of quantum dynamic behaviour in different molecules. We begin by simulating the time evolution of vibrational excitations in the harmonic approximation for several four-atom molecules, including H 2 CS, SO 3 , HNCO, HFHF, N 4 and P 4 . We then simulate coherent and dephased energy transport in the simplest model of the peptide bond in proteins— N -methylacetamide—and simulate thermal relaxation and the effect of anharmonicities in H 2 O. Finally, we use multi-photon statistics with a feedback control algorithm to iteratively identify quantum states that increase a particular dissociation pathway of NH 3 . These methods point to powerful new simulation tools for molecular quantum dynamics and the field of femtochemistry. By mapping vibrations in molecules to photons in waveguides, the vibrational quantum dynamics of various molecules are simulated using a photonic chip.

The leukemia fusion gene CBFB-MYH11 requires RUNX1 for leukemogenesis, but the underlying mechanism is unclear. By in vitro studies, we found that CBFβ-SMMHC, the chimeric protein encoded by CBFB-MYH11 , could enhance the binding affinity between RUNX1 and its target DNA. Increased RUNX1-DNA binding was also observed in myeloid progenitor cells from mice expressing CBFβ-SMMHC. Moreover, only CBFβ-SMMHC variants able to enhance the DNA binding affinity by RUNX1 could induce leukemia in mouse models. Marked transcriptomic changes, affecting genes associated with inflammatory response and target genes of CBFA2T3, were observed in mice expressing leukemogenic CBFβ-SMMHC variants. Finally, we show that CBFβ-SMMHC could not induce leukemia in mice with a Runx1 -R188Q mutation, which reduces RUNX1 DNA binding but does not affect its interaction with CBFβ-SMMHC or its sequestration to cytoplasm by CBFβ-SMMHC. Our data suggest that, in addition to binding RUNX1 to regulate gene expression, enhancing RUNX1 binding affinity to its target DNA is an important mechanism by which CBFβ-SMMHC contributes to leukemogenesis, highlighting RUNX1-DNA interaction as a potential therapeutic target in inv(16) acute myeloid leukemia.

Purpose – Twenty-five years ago IJPDLM published “Integrating the Supply Chain” (Stevens, 1989). The purpose of that original work was to examine the state-of-the-art in supply chain management (SCM). There have been substantial changes to the landscape within which supply chains function and changes to supply chains themselves. Given these changes it is appropriate to re-visit what is the new state-of-the art and determine whether the 1989 conceptualization requires extending. The authors also attempt to assess whether the evolution of SCM is associated with improved financial performance. The paper aims to discuss these issues. Design/methodology/approach – The authors take a conceptual approach to suggest that SCM is undergoing a transition to devolved, collaborative supply chain clusters. In addition, the authors consider imperatives and models for supply chain change and development. In line with the 1989 work, many of the observations in this invited paper are based on the primary author’s experience. The authors use a selection of financial data from leading firms to assess whether benefits attributed to SCM and changes in supply chain operating models have affected financial performance. Findings – The authors formalize a model for the dynamics of SCM change. The authors also synthesize a number of models of SCM that extend the original, highly cited work. These include goal-oriented networks and devolved, collaborative supply chain clusters. The authors also find the associations between the evolution of SCM and measures of firm financial performance over time to be equivocal. Practical implications – This work proposes two additional operating models that firms can implement in order to improve the efficacy of their supply chains. Originality/value – The authors extend Stevens (1989) original work by synthesizing a number of additional models for SCI.

PurposeThe need to stay competitive amidst ever-changing business environment has shifted competitive strategies from firms to supply chains. Managers are now basing competitive strategies on supply chains acknowledging that supply chains present competitive advantages among other resources. The purpose of the study is to explore the predictive relevance of supply chain collaboration and the extent to which it influences supply chain visibility, stakeholder trust, environmental and financial performances. This study focused on manufacturing firms due to their supplier relationships, consumption of resources, energy and emissions of greenhouse gasses.Design/methodology/approachThe study adopted a survey research design, a quantitative approach and partial least square structural equation modelling technique in making data analysis and interpretations due to its suitability for predictive research models as is the case in this study.FindingsThe study hypothesized that supply chain collaboration positively and significantly interacts with supply chain visibility, stakeholder trust, environmental and financial performances. The study results confirmed supply chain collaboration as a significant, positive and a robust influence on supply chain visibility, stakeholder trust, environmental and financial performances thereby projecting win-win scenarios for firms that engage in collaborative supply chain practices.Originality/valueThe study is among the few to indicate findings in relation to the scope of supply chain collaboration's potency in influencing performance from the perspective of manufacturing firms operational in an emerging economy. Thus, this study contributes to understanding the wider scope of supply chain collaboration, its interactions with other firm variables and how it informs decisions of managers, scholars and supply chain partners.