Beyond virtual cultural tourism: history-living experiences with cinematic virtual reality

Virtual reality offers unprecedented opportunities for creating cultural tourism experiences that tell visitors emotionally engaging stories about the past.  This paper focuses onthe latest frontier of immersive storytelling rivalling feature films, cinematic virtual reality, which can immerse users into 360-degree films making them feel like living the story. Through a qualitative analysis of five projects, this paper explores how this new media form has been applied for cultural heritage storytelling and analyses the reactions of users to the historyliving experiences with an emphasis on their emotional responses. Based on the findings of the analysis, implications are discussed for the design of VR experiences in cultural tourism

Approaches to supply chain logistics integration in the textile/clothing sector: an exploratory study in the Region of Campania

Given its potential to reduce lead times and total costs of operations, increase delivery speed, responsiveness and flexibility, and ultimately customer satisfaction, supply chain logistics integration can help to improve the competitiveness of the Italian textile and clothing (T/C) firms. However, few research works on supply chain management in general, and few studies on logistics integration in particular have focused their attention on this sector. This paper analyses the approaches to supply chain logistics integration adopted by T/C companies located in the Region of Campania (Southern Italy) through a qualitative approach based on case studies. The preliminary findings of the study highlight that the prevailing approach to supply chain logistics integration is limited to functional boundaries within the firm

Open Service Innovation in Smart Cities: A Framework for Exploring Innovation Networks in the Development of New City Services

The paper presents a multi-dimensional framework for exploring the drivers, structure and dynamics of public-private service innovation networks in the smart city context and their innovation outcomes at the project, network and city levels. The framework provides a conceptual contribution to the increasingly relevant issue of open innovation in smart cities by leveraging the interpretive potential of the open service innovation perspective, namely the concept of Public Private Innovation Networks in Services (ServPPINs), to advance the understanding of complex interactive structures and processes involved in the development of new services for smart users

How Effective are Virtual Reality Experiences as Destination Marketing Tools?

How did you decide where to go on your last holiday? Did you see a picture-perfect paradise promoted on your social media feed? Once upon a time, planning your perfect holiday was organized with a trip to the local travel agency. In recent years you are more likely to pick your destination based on the most attractive advertisements at the top of an online travel agency website. Dr. Mathilda van Niekerk, Dr. Marissa Orlowski and Dr. Fevzi Okumus from Rosen College of Hospitality Management, along with Allessandra Marasco and Dr. Piera Buonincontri from the National Research Council\u27s Institute for research on Innovation and Services for Development (CNR-IRISS) have been researching an even more immersive and compelling destination marketing tool though; can virtual reality experiences persuade us to visit a destination

Identification of biomarkers in patients with rheumatoid arthritis responsive to DMARDs but with progressive bone erosion

IntroductionRheumatoid arthritis (RA) is an inflammatory autoimmune disease that may cause joint destruction and disability. The pharmacological treatment of RA aims at obtaining disease remission by effectively ceasing joint inflammation and arresting progressive bone erosions. Some patients present bone lesions accrual even after controlling joint inflammation with current therapies. Our study aimed to analyze lymphocyte subsets and levels of circulating cytokines in patients with RA with progressive bone erosions.MethodsWe enrolled 20 patients with a diagnosis of RA and 12 healthy donors (HD). Patients with RA were divided into patients with bone erosions (RA-BE+) and without bone erosions (RA-BE-). Lymphocyte subsets in peripheral blood were evaluated by flow cytometry. Circulating cytokines levels were evaluated by protein array.ResultsThe distribution of lymphocyte subsets was not able to separate HD from AR patients and RA-BE+ and RA-BE- in cluster analysis. We observed a significant expansion of CXCR5- PD1+ T peripheral helper cells (Tph cells) and a reduction in both total memory B cells and switched memory B cells in RA patients compared to HD. We observed an expansion in the frequency of total B cells in RA-BE+ patients compared to RA-BE- patients. Unsupervised hierarchical clustering analysis of 39 cytokines resulted in a fairly good separation of HD from RA patients but not of RA-BE+ patients from RA-BE- patients. RA-BE+ patients showed significantly higher levels of IL-11 and IL-17A than RA-BE- patients.ConclusionWe show that patients with progressive erosive disease are characterized by abnormalities in B cells and in cytokines with a proven role in bone reabsorption. Understanding the role played by B cells and the cytokine IL-11 and IL-17A in progressive erosive disease can help identify novel biomarkers of erosive disease and design treatment approaches aimed at halting joint damage in RA

Clinical Impact of Pretransplant Multidrug-Resistant Gram-Negative Colonization in Autologous and Allogeneic Hematopoietic Stem Cell Transplantation

Abstract Multidrug-resistant Gram-negative bacteria (MDR-GNB) are an emerging cause of morbidity and mortality after hematopoietic stem cell transplantation (HSCT). Three-hundred forty-eight consecutive patients transplanted at our hospital from July 2012 to January 2016 were screened for a pretransplant MDR-GNB colonization and evaluated for clinical outcomes. A pretransplant MDR-GNB colonization was found in 16.9% of allo-HSCT and in 9.6% of auto-HSCT recipients. Both in auto- and in allo-HSCT, carriers of a MDR-GNB showed no significant differences in overall survival (OS), transplant-related mortality (TRM), or infection-related mortality (IRM) compared with noncarriers. OS at 2 years for carriers compared with noncarriers was 85% versus 81% ( P  = .262) in auto-HSCT and 50% versus 43% ( P  = .091) in allo-HSCT. TRM at 2 years was 14% versus 5% ( P  = .405) in auto-HSCT and 31% versus 25% ( P  = .301) in allo-HSCT. IRM at 2 years was 14% versus 2% ( P  = .142) in auto-HSCT and 23% versus 14% ( P  = .304) in allo-HSCT. In multivariate analysis, only grade III to IV acute graft-versus-host disease was an independent factor for reduced OS ( P P P P  = .207). We conclude that in this extended single-center experience, a pretransplant MDR-GNB colonization did not significantly influence OS, TRM, and IRM both in auto- and allo-HSCT settings and that MDR-GNB attributed mortality can be controlled in carriers when an early pre-emptive antimicrobial therapy is started in case of neutropenic fever

Computational design of cyclic peptides for the customized oriented immobilization of globular proteins

The oriented immobilization of proteins, key for the development of novel responsive biomaterials, relies on the availability of effective probes. These are generally provided by standard approaches based on in vivo maturation and in vitro selection of antibodies and/or aptamers. These techniques can suffer technical problems when a non-immunogenic epitope needs to be targeted. Here we propose a strategy to circumvent this issue by in silico design. In our method molecular binders, in the form of cyclic peptides, are computationally evolved by stochastically exploring their sequence and structure space to identify high-affinity peptides for a chosen epitope of a target globular protein: here a solvent-exposed site of β2-microglobulin (β2m). Designed sequences were screened by explicit solvent molecular dynamics simulations (MD) followed by experimental validation. Five candidates gave dose-response surface plasmon resonance signals with dissociation constants in the micromolar range. One of them was further analyzed by means of isothermal titration calorimetry, nuclear magnetic resonance, and 250 ns of MD. Atomic-force microscopy imaging showed that this peptide is able to immobilize β2m on a gold surface. In short, we have shown by a variety of experimental techniques that it is possible to capture a protein through an epitope of choice by computational design

a new clinicobiological scoring system for the prediction of infection related mortality and survival after allogeneic hematopoietic stem cell transplantation

Abstract Infection-related mortality (IRM) is a substantial component of nonrelapse mortality (NRM) after allogeneic hematopoietic stem cell transplantation (allo-HSCT). No scores have been developed to predict IRM before transplantation. Pretransplantation clinical and biochemical data were collected from a study cohort of 607 adult patients undergoing allo-HSCT between January 2009 and February 2017. In a training set of 273 patients, multivariate analysis revealed that age >60 years ( P  = .003), cytomegalovirus host/donor serostatus different from negative/negative ( P P  = .004), and pretransplantation IgM level P  = .028) were independent predictors of increased IRM. Based on these results, we developed and subsequently validated a 3-tiered weighted prognostic index for IRM in a retrospective set of patients (n = 219) and a prospective set of patients (n = 115). Patients were assigned to 3 different IRM risk classes based on this index score. The score significantly predicted IRM in the training set, retrospective validation set, and prospective validation set ( P P P

Insights on peptide topology in the computational design of protein ligands: the example of lysozyme binding peptides

Herein, we compared the ability of linear and cyclic peptides generated in silico to target different protein sites: internal pockets and solvent-exposed sites. We selected human lysozyme (HuL) as a model target protein combined with the computational evolution of linear and cyclic peptides. The sequence evolution of these peptides was based on the PARCE algorithm. The generated peptides were screened based on their aqueous solubility and HuL binding affinity. The latter was evaluated by means of scoring functions and atomistic molecular dynamics (MD) trajectories in water, which allowed prediction of the structural features of the protein-peptide complexes. The computational results demonstrated that cyclic peptides constitute the optimal choice for solvent exposed sites, while both linear and cyclic peptides are capable of targeting the HuL pocket effectively. The most promising binders found in silico were investigated experimentally by surface plasmon resonance (SPR), nuclear magnetic resonance (NMR), and electrospray ionization mass spectrometry (ESI-MS) techniques. All tested peptides displayed dissociation constants in the micromolar range, as assessed by SPR; however, both NMR and ESI-MS suggested multiple binding modes, at least for the pocket binding peptides. A detailed NMR analysis confirmed that both linear and cyclic pocket peptides correctly target the binding site they were designed for