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Lipid metabolism and signalling play pivotal functions in biology and disease development. Despite this, there is currently no optical technique available that can directly visualise the lipidome in tissues. In this study, we introduce opto-lipidomics, a new approach to optical molecular tissue imaging. We expand the capability of vibrational Raman spectroscopy to identify individual lipids in complex tissue matrices through correlation with desorption electrospray ionisation (DESI) - mass spectrometry imaging in an integrated instrument. A computational pipeline of inter-modality regression analysis is established to extract lipidomic information from optical vibrational spectra. Opto-lipidomic imaging of transient cerebral ischemia-reperfusion injury in a murine model of ischemic stroke demonstrates the visualisation and identification of lipids in disease with unprecedented molecular specificity using light. Furthermore, we deploy opto-lipidomics in a handheld fiber-optic Raman probe and demonstrate real-time classification of bulk brain tissues based on specific lipid abundances. Opto-lipidomics opens a host of opportunities to study lipid biomarkers for diagnostics, prognostics, and novel therapeutic targets.

Mapping the molecular composition of tissues using spatial biology provides high-content information for molecular diagnostics. However, spatial biology approaches require invasive procedures to collect samples and destroy the investigated tissue, limiting the extent of analysis, particularly for highly functional tissues such as those of the brain. To address these limitations, we developed a workflow to harvest biomolecules from brain tissues using nanoneedles and characterise the distribution of lipids using desorption electrospray ionization mass spectrometry imaging. The nanoneedles preserved the original tissue while harvesting a reliable molecular profile and retaining the original lipid distribution for mouse and human brain samples, accurately outlining the morphology of key regions within the brain and tumour lesions. The deep neural network analysis of a cohort containing 23 human glioma biopsies showed that nanoneedle samples maintain the molecular signatures required to accurately classify disease state. Thus, nanoneedles provide a route for tissue-preserving spatial lipidomic and molecular diagnostics.

Contemporary (third-party logistics providers) TPLs are in danger of being stuck in the middle, unable to perform customer adaptation as well as before and unable to achieve sufficient economies of scale. This conceptual paper aims to explore challenges facing the strategic development of TPLs within a context of increased digitalization, e-commerce and servitization. There are two apparent strategic paths. Under circumstances of strong price pressure, there is demand for standardized TPL services offering simplicity, minimalism and functionality based on digitalization, e-commerce and servitization. Alternatively, with market developments responsive to supply chain complexity, digitalization, e-commerce and servitization enable development towards innovation and change. We conclude that these developments do not invalidate existing frameworks for TPL strategies but contribute alternative strategies. We formulate three propositions for each strategic path. To avoid being stuck in the middle, TPLs are encouraged to either develop efficient services through servitized logistics chains and digital solutions or develop advanced solutions to integrate the consumer into the logistics network system through competencies to control increased levels of complexity.

We propose a framework to compare algorithms for multi agent exploration in an unknown continuous 2d environment. To analyze trade offs we compare algorithms with varying robot hardware requirements. We showcase our approach on Random Ballistic Walk (RBW), frontier-based exploration (The Next Frontier, TNF), Spiraling and Selective Backtracking (SSB), and Local Voronoi Decomposition (LVD). Algorithms that operate in a discrete grid-based space, such as LVD and SSB, are mapped to a continuous space for comparison with other algorithms. To our knowledge, no other extensive comparison of these exploration algorithms operating under the same testing environment has been conducted. The algorithms are tested in a custom 2D physics-driven simulation (Multi Agent Exploration Simulator, MAES), with two types of maps, namely the Cave map (C-Map) and the Building map (B-Map). The performance of each algorithm is evaluated in terms of coverage and exploration of the map. Results show that SSB performed the best in terms of coverage in all tested scenarios. TNF performed the best in terms of exploration, especially on bigger maps.RBW achieved good results in terms of both coverage and exploration in C-Maps, but not in B-Maps. LVD performed similarly to RBW in C-Maps, but better in the B-Maps.

Spontaneous Raman spectroscopy enables non-ionising, non-destructive, and label-free acquisition of a biochemical fingerprint for a given sample. However, the long integration times required largely prohibit high-throughput applications. Here, we present a comprehensive deep learning framework for extreme speed-up of spontaneous Raman imaging. Our deep learning framework enhances Raman imaging two-fold, effectively reconstructing both spectral and spatial information from low spatial resolution, low signal-to-noise ratio images to achieve extreme Raman imaging time speed-ups of 40-90x while mainting high reconstruction fidelity. As such, our framework could enable a host of higher-throughput spontaneous Raman spectroscopy applications across a diverse range of fields.

Osteoarthritis (OA) is a painful, debilitating disease characterized by the degeneration of articular cartilage. We have developed a novel multiplexed polarized, hypodermic-needle-compatible Raman arthroscope probe that can achieve intra-articular assessments of the compositional and structural changes to cartilage associated with early-stage OA, including depletion of glycosaminoglycans from the cartilage superficial regions and changes to superficial zone collagen alignment. Through ex vivo models on human and bovine cartilage, we demonstrate that using multivariate linear regression, this platform can accurately measure superficial zone cartilage GAG depletion. This work shows that Raman needle arthroscopy can provide a practical, minimally invasive, point-of-care clinical tool capable of diagnosing OA before irreparable cartilage degeneration is radiographically evident.

The first case of coronavirus disease 2019 (COVID-19) disease caused by severe acute respiratory syndrome coronavirus-2 occurred in Denmark on 27 February 2020. On 10 March, the first case of COVID-19 pneumonia was admitted to Hvidovre Hospital.Retrospective case review of individuals 18 years or older who were admitted consecutively to Hvidovre Hospital from 10 March through 23 April 2020.A total of 175 individuals were admitted with COVID-19 pneumonia. The median age was 71 years, 48.6% were male and 71% had at least one co-morbidity. The most commonly presenting symptoms were dyspnoea, dry cough, and fever. The majority of patients had lymphopenia, elevated liver function tests and C-reactive protein. Nearly two in three presented with multilobar infiltration by chest X-ray. Respiratory failure leading to invasive mechanical ventilation developed in 27 patients (15.4%). By 20 April, 23 of 175 (13.1%) patients remained hospitalised, 43 (24.6%) had died and 109 (62.3%) had been discharged.The manifestations of COVID-19 at presentation were similar to those seen in other reports. Our population was older, slightly overrepresented by women and had a high level of co-morbidity. COVID-19 admittance was associated with frequent need of intensive care and mechanical ventilation that was associated with a very high mortality.none.not relevant.

The number of organisations involved in relief work in general and humanitarian logistics specifically is large and increasing, creating new complexity. In this paper we analyse different types of coordination and roles in two case studies of the humanitarian cluster system based on its initial development and the Kenyan Post-election crisis. The different and unclear roles of the organisations create significant problems before and after cluster activation and deactivation. Individual organisations take on many roles in the cluster system and beyond it in terms of coordination. The clarity of the roles affects the need for and ease of coordination. We suggest a simple basic categorisation of roles as a starting point for developing this concept in the field of humanitarian logistics and connect this to coordination.

PurposeThe purpose of this paper is to improve the understanding of the role of humanitarian cluster leads through applying lessons from the fourth‐party logistics (4PL) literature.Design/methodology/approachThe primary data for this paper are based on an extensive case study of coordination mechanisms in humanitarian logistics covering specifically the UNJLC (United Nations Joint Logistics Centre) and the Logistics Cluster. In total, 37 semi‐structured interviews were conducted, together with site visits and review of official documentation.FindingsThe paper finds that the 4PL concept provides a partial match for the cluster leads with important lessons from the 4PL literature. In particular, lessons are related to selectivity of central participants for the cluster, and the need to develop relationship management skills.Research limitations/implicationsThe paper shows some clear areas where lessons from the 4PL literature are highly relevant to the logistics cluster lead. Some of these implications can also be applied to the other clusters, but further concepts should be developed for the cluster system as a whole.Social implicationsThe analysis shows that cluster leads should think of themselves more as facilitators rather than channel captains.Originality/valueThe tasks for the humanitarian cluster leads have been outlined in some detail, but the ways to accomplish them and how they should operate in relation to other actors in the field has been less clear. By using the 4PL concept the paper demonstrates a number of lessons that are relevant to the logistics cluster lead in particular.

PurposeIn the field of humanitarianism, cluster thinking has been suggested as a solution to the lack of coordinated disaster response. Clusters for diverse functions, including sheltering, logistics and water and sanitation, can be viewed as an effort to achieve functional coordination. The purpose of this paper is to contribute to a greater understanding of the potential of cluster concepts using supply chain coordination and inter‐cluster coordination. The focus is on the conceptual level rather than on specific means of coordination.Design/methodology/approachThe cluster concept in humanitarian relief, along with some key empirical issues, is based on a case study. The concept is then compared to the literature on clusters and coordination in order to develop a theoretical framework with propositions on the tradeoffs between different types of coordination.FindingsThe results provide important reflections on one of the major trends in contemporary development of humanitarian logistics. This paper shows that there is a tradeoff between different types of coordination, with horizontal coordination inside cluster drawing attention away from important issues of the supply chain as well as the need to coordinate among the clusters.Research limitations/implicationsThere is a need for more in‐depth case studies of experiences with clusters in various operations. Various perspectives should be taken into account, including the field, responding agencies, beneficiaries, donors, military and commercial service providers, both during and between disasters.Practical implicationsThe paper presents the tradeoffs between different types of coordination, in which basic aims such as standardisation through functional coordination, must be balanced with cross‐functional and vertical coordination in order to more successfully serve the users' composite needs.Originality/valueThe focus on possible trade‐offs between different types of coordination is an important complement to the literature, which often assumes simultaneous high degrees of horizontal and vertical coordination.

PurposeThere is a need for theory development within the field of humanitarian logistics to understand logistics needs in different stages of a crisis and how to meet these. This paper aims to discuss three dimensions identified in logistics and organization theories and how they relate to three different cases of humanitarian logistics operations – the regional concept of the International Federation of Red Cross Red Crescent Societies, the development and working of the United Nations Joint Logistics Centre and coordination challenges of military logistics in UN mandated peacekeeping operations. The purpose is to build a framework to be used in further studies.Design/methodology/approachA framework for the study of humanitarian logistics along three dimensions is developed, followed by a discussion of the chosen cases in relation to these dimensions. The framework will be used as basis for the case studies to be undertaken for the purpose of understanding and identification of new questions and needs for other or revised concepts from theory.FindingsThe paper shows the relevance of a wide literature to the issues pertinent to humanitarian logistics. There is considerable promise in extant literature on logistics, SCM and coordination, but this needs to be confronted with the particular issues seen in the humanitarian logistics setting to achieve further theory development.Originality/valueThe major contribution of the paper lies in its breadth of theoretical perspectives presented and combined in a preliminary theoretical framework. This is applied more specifically in the three case studies described in the paper.

Cisplatin [cis-diamminedichloridoplatinum(II)] is used in chemotherapy where platinum-DNA adducts initiate tumor cell death. It is possible that side effects such as neurotoxicity and cellular cisplatin resistance can be due to interaction of cisplatin with lipids and the phospholipid bilayer. In this study, (13)C, (31)P, and (15)N solid-state NMR spectra of 1-palmitoyl-2-oleoyl phosphatidylserine (POPS) bilayers, POPS bilayers with 10 mol% cisplatin, and POPS bilayers with 30 mol% cisplatin were acquired. In addition, (15)N{(31)P} rotational echo double resonance spectra of POPS bilayers with 30 mol% cisplatin were acquired. The data demonstrate that the serine head group of phosphatidylserine binds to the aquated form of cisplatin and that cisplatin release of ammine takes place. It appears that the cisplatin release of ammine is followed by another cisplatin-POPS complex formation, possibly with cisplatin binding to one of the oxygen atoms of the POPS phosphate moiety.

The concept of a fourth-party logistics provider is increasingly explored in the literature and has come to focus on firms that are able to organize and run significant parts of a supply chain. These firms are assigned increasing responsibility for design, recruitment of other firms and maintenance of supply chains due to very specific skills. Within the humanitarian sector there is considerable reorganization of the necessarily agile supply chains necessary to deliver relief during disasters. This reorganization has included the designation of clusters for different types of activity, and significantly leadership of the cluster to specific organizations. This article applies the concept of a fourth-party logistics provider on the cluster concept to help develop a concept for how the cluster leads themselves should operate.

Cisplatin (cis-diamminedichloroplatinum(II)) is used in chemotherapy and it is well established that cisplatin forms platinum-DNA adducts that initiate tumor cell death. Drawbacks are side effects such as neurotoxicity and cellular cisplatin resistance and it is possible that part of these effects are linked to cisplatin interaction with lipids and the phospholipid bilayer. 13C magic angle spinning (MAS) nuclear magnetic resonance (NMR) spectra of total lipid extract from pig brain with and without cisplatin show that the phosphatidylserine (PS) carboxyl resonance disappears in presence of cisplatin and that a new resonance of similar intensity appears at 185.5 ppm. Thus, indicating cisplatin interaction with the PS head-group. Static and MAS 31P NMR spectra of lipid extract with and without cisplatin show that the phospholipids to a large extent reside in a bilayer environment in pure lipid extract, and that the presence of cisplatin promotes isotropic and/or hexagonal lipid phases.