455 research outputs found

    The impact of M&A on the R&D process. An empirical analysis of the role of technological and market relatedness.

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    While the impact of M&A on R&D and innovation examined at the aggregate level left inconclusive evidence, we find that at the level of the R&D process both the technological and market relatedness between the target and acquirer are helpful dimensions to identify effects. Using information on 31 in-depth cases of individual M&A deals we show that technological relatedness between M&A partners directly affects the inputs and organizational structure of the R&D process. M&A partners that operate in the same technological fields tend to reduce their R&D effort and rationalize the R&D process after the M&A compared to firms active in complementary technological fields that merge. These firms will furthermore face less technological competition in the technology market, but risk creating a more bureaucratic R&D process with a less motivated workforce. Market relatedness between partners, while having comparable aggregate effects on the R&D process, operates on different dimensions of the R&D process. Former rivals that engage in a M&A are significantly less likely to expand into new R&D fields or leverage their technological competences across the products and markets of the new entity. Non-rival firms that join forces, on the contrary, significantly increase R&D output and productivity through these activities.Competition; Effects; Field; Firms; Information; Innovation; International; M&A; Market; Market relatedness; Markets; Organizational structure; Processes; Product; R&D; Risk; Scale and scope; Structure; Subsidiaries; Technolocal relatedness; Technology diffusion;

    Molar Entropy and Enthalpy of CO Adsorbed in Zeolites as Derived from VTIR Data: Role of Intermolecular Modes

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    Detailed analysis of recently reported variable-temperature IR (VTIR) spectra of carbon monoxide adsorbed in alkaline zeolites shows how, not only the corresponding values of standard adsorption enthalpy ((Formula presented.)) and entropy ((Formula presented.)) can be obtained, but also the thermodynamic values of molar entropy and enthalpy which characterize the adsorbed gas phase. In addition, it is shown that the so obtained molar entropy data can lead to new insights into soft molecular modes, which would be hardly accessible by conventional IR spectroscopic techniques

    A human polymorphism affects NEDD4L subcellular targeting by leading to two isoforms that contain or lack a C2 domain

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    <p>Abstract</p> <p>Background</p> <p>Ubiquitination serves multiple cellular functions, including proteasomal degradation and the control of stability, function, and intracellular localization of a wide variety of proteins. NEDD4L is a member of the HECT class of E3 ubiquitin ligases. A defining feature of NEDD4L protein isoforms is the presence or absence of an amino-terminal C2 domain, a class of subcellular, calcium-dependent targeting domains. We previously identified a common variant in human <it>NEDD4L </it>that generates isoforms that contain or lack a C2 domain.</p> <p>Results</p> <p>To address the potential functional significance of the <it>NEDD4L </it>common variant on NEDD4L subcellular localization, NEDD4L isoforms that either contained or lacked a C2 domain were tagged with enhanced green fluorescent protein, transfected into <it>Xenopus laevis </it>kidney epithelial cells, and imaged by performing confocal microscopy on live cells. We report that the presence or absence of this C2 domain exerts differential effects on the subcellular distribution of NEDD4L, the ability of C2 containing and lacking NEDD4L isoforms to mobilize in response to a calcium stimulus, and the intracellular transport of subunits of the NEDD4L substrate, ENaC. Furthermore, the ability of the C2-containing isoform to influence β-ENaC mobilization from intracellular pools involves the NEDD4L active site for ubiquitination. We propose a model to account for the potential impact of this common genetic variant on protein function at the cellular level.</p> <p>Conclusion</p> <p>NEDD4L isoforms that contain or lack a C2 domain target different intracellular locations. Additionally, whereas the C2-containing NEDD4L isoform is capable of shuttling between the plasma membrane and intracellular compartments in response to calcium stimulus the C2-lacking isoform can not. The C2-containing isoform differentially affects the mobilization of ENaC subunits from intracellular pools and this trafficking step requires NEDD4L ubiquitin ligase activity. This observation suggests a new mechanism for the requirement for the PY motif in cAMP-mediated exocytosis of ENaC. We have elucidated how a common genetic variant can underlie significant functional diversity in NEDD4L at the cellular level. We propose a model that describes how that functional variation may influence blood pressure. Moreover, our observations regarding differential function of the NEDD4L isoforms may impact other aspects of physiology that involve this ubiquitin ligase.</p

    STUDY OF "BLOWN PACK" SPOILAGE OF CHILLED VACUUM PACKED BEEF

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    Blown pack spoilage of vacuum packed chilled beef was characterised by chemical (GCMS) analysis, microscope evaluation and microbiological analysis. Large amounts of butyric acid were found; the alteration was probably caused by psychrotrophic clostridia

    Value-Chain Wide Food Waste Management: A Systematic Literature Review

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    © 2019, Springer Nature Switzerland AG. The agriculture value chain, from farm to fork, has received enormous attention because of its key role in achieving United Nations Global Challenges Goals. Food waste occurs in many different forms and at all stages of the food value chain, it has become a worldwide issue that requires urgent actions. However, the management of food waste has been traditionally segmented and in an isolated manner. This paper reviews existing work that has been done on food waste management in literature by taking a holistic approach, in order to identify the causes of food waste, food waste prevention strategies, and elicit recommendations for future work. A five step systematic literature review has been adopted for a thorough examination of the existing research on the topic and new insights have been obtained. The findings suggest that the main sources of food waste include food overproduction and surplus, food waste caused by processing, logistical inconsistencies, and households. Main food waste prevention strategies have been revealed in this paper include policy solutions, packaging solutions, date-labelling solutions, logistics solutions, changing consumers’ behaviours, and reuse and redistribution solutions. Future research directions such as using value chain models to reduce food waste and forecasting food waste have been identified in this paper. This study makes a contribution to the extant literature in the field of food waste management by discovering main causes of food waste in the value chain and eliciting prevention strategies that can be used to reduce/eliminate relevant food waste

    Network-Based Approach for Modeling and Analyzing Coronary Angiography

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    Significant intra-observer and inter-observer variability in the interpretation of coronary angiograms are reported. This variability is in part due to the common practices that rely on performing visual inspections by specialists (e.g., the thickness of coronaries). Quantitative Coronary Angiography (QCA) approaches are emerging to minimize observer's error and furthermore perform predictions and analysis on angiography images. However, QCA approaches suffer from the same problem as they mainly rely on performing visual inspections by utilizing image processing techniques. In this work, we propose an approach to model and analyze the entire cardiovascular tree as a complex network derived from coronary angiography images. This approach enables to analyze the graph structure of coronary arteries. We conduct the assessments of network integration, degree distribution, and controllability on a healthy and a diseased coronary angiogram. Through our discussion and assessments, we propose modeling the cardiovascular system as a complex network is an essential phase to fully automate the interpretation of coronary angiographic images. We show how network science can provide a new perspective to look at coronary angiograms

    B Cell apoptosis in the central nervous system in experimental autoimmune Encephalomyelitis: Roles of B Cell CD95, CD95L and Bcl-2 expression

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    The role and fate of B cells in the central nervous system (CNS) in experimental autoimmune encephalomyelitis (EAE) are unknown. Using enzyme-linked immunospot assays we now show that B cells reactive to myelin basic protein (MBP) accumulate in the CNS of Lewis rats with acute EAE induced by immunization with MBP and adjuvants. We also report that B cells are eliminated from the CNS by apoptosis during spontaneous recovery from this disease. Apoptotic B cells were identified by flow cytometry of inflammatory cells extracted from the spinal cord and by histological sections of the spinal cord using light and electron microscopic immunocytochemistry. B cell apoptosis occurred preferentially in the CNS rather than in the peripheral lymphoid organs and was maximal just prior to the onset of spontaneous clinical recovery. Three colour flow cytometry indicated that B cells expressing CD95 (Fas) or CD95 ligand (CD95L) were highly vulnerable to apoptosis, whereas B cells expressing Bcl-2 were relatively protected from apoptosis. We propose that B cells are eliminated from the CNS by the interaction of CD95L and CD95 on the same B cell and that this contributes to the spontaneous resolution of CNS inflammation and clinical recovery in acute EAE

    MRD codes with maximum idealizers

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    Left and right idealizers are important invariants of linear rank-distance codes. In the case of maximum rank-distance (MRD for short) codes in Fqn×n\mathbb{F}_q^{n\times n} the idealizers have been proved to be isomorphic to finite fields of size at most qnq^n. Up to now, the only known MRD codes with maximum left and right idealizers are generalized Gabidulin codes, which were first constructed in 1978 by Delsarte and later generalized by Kshevetskiy and Gabidulin in 2005. In this paper we classify MRD codes in Fqn×n\mathbb{F}_q^{n\times n} for n≤9n\leq 9 with maximum left and right idealizers and connect them to Moore-type matrices. Apart from generalized Gabidulin codes, it turns out that there is a further family of rank-distance codes providing MRD ones with maximum idealizers for n=7n=7, qq odd and for n=8n=8, q≡1(mod3)q\equiv 1 \pmod 3. These codes are not equivalent to any previously known MRD code. Moreover, we show that this family of rank-distance codes does not provide any further examples for n≥9n\geq 9.Comment: Reviewers' comments implemented, we changed the titl
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