How Traditional Knowledge Comes to Matter in Atlantic Salmon Governance in Norway and Finland

The article compares different models for knowledge production, all of which include traditional knowledge, as part of Norwegian and Finnish Atlantic salmon (Salmo salar) research and management projects. Our hope is to contribute constructively to more socially robust knowledge production in Arctic environmental governance. Through investigating how traditional knowledge comes to matter at local, regional (national), and international levels in different Atlantic salmon research and governance projects in Norway and Finland, we examine the social robustness of different approaches to knowledge co-production. In general, the projects that seem to fulfill Arctic expectations of traditional knowledge co-production with science (projects with high legitimacy) seem to have the least impact on policy, and vice versa. We argue that expectations at the international policy level towards traditional knowledge integration with science are at times unrealistically high and hard to meet at local levels and in national policy contexts. We therefore argue for rethinking how a legitimate and policy-relevant knowledge co-production process should be conducted. Arctic policy levels, Norwegian and Finnish environmental authorities, and salmon conservation science could fruitfully draw lessons from the Näätämö co-management project, which is already referred to as an example of best practice in Arctic environmental governance. To achieve social robustness, projects need to balance scientific credibility with legitimacy among local and Indigenous rights holders. This balance might entail giving up on expectations of integrating traditional ecological knowledge with science and embracing the undefined spaces within Arctic and Indigenous knowledge production.Cet article compare différents modèles de production de connaissances émanant de projets norvégiens et finlandais de recherche et de gestion du saumon atlantique (Salmo salar). Tous les modèles incluent les connaissances traditionnelles. Nous espérons jouer un rôle constructif dans la production plus robuste de connaissances du point de vue social en matière de gouvernance environnementale dans l’Arctique. Nous avons fait des recherches pour déterminer l’importance des connaissances traditionnelles sur les scènes locale, régionale (nationale) et internationale dans le cadre de divers projets de gouvernance et de recherche sur le saumon atlantique en Norvège et en Finlande, après quoi nous nous sommes penchés sur la robustesse des différentes approches de coproduction de connaissances du point de vue social. En général, les projets qui semblent satisfaire aux attentes de l’Arctique en matière de coproduction de connaissances traditionnelles avec la science (les projets fortement légitimes) sont ceux qui semblent avoir le moins d’influence sur les politiques, et vice versa. Nous avançons que les attentes du point de vue des politiques internationales en matière d’intégration des connaissances traditionnelles aux connaissances scientifiques sont, parfois, très irréalistes et difficiles à atteindre à l’échelle locale de même que dans le contexte des politiques nationales. Par conséquent, nous soutenons qu’il y a lieu de réexaminer comment un processus de coproduction de connaissances légitime et adapté aux politiques pourrait se faire. Les organismes d’établissement des politiques dans l’Arctique, les autorités environnementales de la Norvège et de la Finlande de même que la science derrière la conservation du saumon pourraient tirer de bonnes leçons du projet de cogestion Näätämö, déjà considéré comme un exemple de pratique exemplaire en matière de gouvernance environnementale dans l’Arctique. Afin d’atteindre la robustesse sociale, les projets doivent équilibrer la crédibilité scientifique et la légitimité chez les détenteurs de droits ancestraux et locaux. Cet équilibre pourrait signifier la nécessité d’abandonner les attentes en matière d’intégration des connaissances écologiques traditionnelles aux connaissances scientifiques, et d’accepter les espaces indéfinis au sein de la production de connaissances propres à l’Arctique et aux indigènes

Tiedon valtapolitiikat hallitustenvälisessä ilmastopaneelissa 2018-2022

Artikkeli käsittelee kuudennen ilmastoraportin osalta tietämisen tapoja ja vallan sijainteja, joilla validoidaan se, miten tiedetään. Artikkeli purkaa kuudennen arviointiraportin sykliä ja asemoi erilaisia tietämisen tapoja (engl. ways of knowing) suhteessa tieteen narratiiviin. Aineisto keskittyy kahden alkuperäiskansatoimijan primäärisiin diskursseihin ja toisaalta niistä muokattuihin versioihin osana paneelin työtä. Epistemologinen etäisyys virallisuuden, alkutekstin ja paneelin toiveiden välillä sijoitetaan osaksi kokonaisuuttaan. Teksti pohtii, miten alkuperäiskansojen tieto sijoittuu ilmastopaneelin työssä ja millaisia valtaan, poliittiseen kehykseen ja epistemologiaan liittyviä jännitteitä kokonaisuus sisältää

Multiobjective optimization identifies cancer-selective combination therapies

Author summary Cancer is diagnosed in nearly 40% of people in the U.S at some point during their lifetimes. Despite decades of research to lower cancer incidence and mortality, cancer remains a leading cause of deaths worldwide. Therefore, new targeted therapies are required to further reduce the death rates and toxic effects of treatments. Here we developed a mathematical optimization framework for finding cancer-selective treatments that optimally use drugs and their combinations. The method uses multiobjective optimization to identify drug combinations that simultaneously show maximal therapeutic potential and minimal non-selectivity, to avoid severe side effects. Our systematic search approach is applicable to various cancer types and it enables optimization of combinations involving both targeted therapies as well as standard chemotherapies. Combinatorial therapies are required to treat patients with advanced cancers that have become resistant to monotherapies through rewiring of redundant pathways. Due to a massive number of potential drug combinations, there is a need for systematic approaches to identify safe and effective combinations for each patient, using cost-effective methods. Here, we developed an exact multiobjective optimization method for identifying pairwise or higher-order combinations that show maximal cancer-selectivity. The prioritization of patient-specific combinations is based on Pareto-optimization in the search space spanned by the therapeutic and nonselective effects of combinations. We demonstrate the performance of the method in the context of BRAF-V600E melanoma treatment, where the optimal solutions predicted a number of co-inhibition partners for vemurafenib, a selective BRAF-V600E inhibitor, approved for advanced melanoma. We experimentally validated many of the predictions in BRAF-V600E melanoma cell line, and the results suggest that one can improve selective inhibition of BRAF-V600E melanoma cells by combinatorial targeting of MAPK/ERK and other compensatory pathways using pairwise and third-order drug combinations. Our mechanism-agnostic optimization method is widely applicable to various cancer types, and it takes as input only measurements of a subset of pairwise drug combinations, without requiring target information or genomic profiles. Such data-driven approaches may become useful for functional precision oncology applications that go beyond the cancer genetic dependency paradigm to optimize cancer-selective combinatorial treatments.Peer reviewe

Moving Beyond Co-Construction of Knowledge to Enable Self‑Determination

It is increasingly recognised that co-construction of knowledge which brings together researcher-derived understanding, with local, practitioner or non-researcher understanding is necessary to address current global challenges. Emerging empirical evidence suggests challenges remain in bridging across scales and ensuring inclusion of the marginalised. It is unclear whether espoused approaches are in practice enhancing the wellbeing of those currently on the front lines of ecological, social and political crises, or, whether they are inadvertently increasing inequality. In this article, we explore co-construction from our experience as embedded researcher–practitioners through two case studies: the ecological restoration of fisheries by the Skolt Sámi in Finland, and the conservation of agro-ecological and forest management practices by peasant communities in Paraguay. We challenge the idea that co-construction of knowledge is sufficient to engage with regressive institutional and political dynamics that continue to marginalise, arguing for a focus on self-determination to be the foundation for co-construction

Preservation of fatty acid signatures in three vertebrate species after six months of storage at various temperatures

Fatty acid (FA) signatures (FAS) are important tools to assess the foraging ecology of wild animals. The present study was conducted to assess how well the general FAS and the proportions of individual FA are preserved in fat samples stored at different temperatures (196, -80, -20, +4 and +20 degrees C). Using three species (laboratory rat, American mink and rainbow trout), FAS were determined immediately upon sampling. Thereafter, eight subsamples per storage temperature from the inner part of the sample unaffected by oxygen and light were re-analyzed after 1, 2, 3, 7, 28, 84 and 168 days. Each time the remaining sample was sealed in its vial after replacing air with nitrogen gas. The results were tested with the mixed model and discriminant analyses. Generally, the FAS were well preserved regardless of storage temperature, and only a few major FA showed significant changes even after the 6-month period at room temperature. After an initial first-day change in proportions, presumably due to post-mortem enzymatic activities, the remaining minor changes could not be clearly attributed to either further autolysis, decomposition or autoxidation. In the discriminant analysis, the species-specific differences dominated and remained distinct even after 6 months. Furthermore, the analysis mostly classified the samples preserved at sub- and above-freezing temperatures separate from each other, and the general deviation from the initial analysis results was present as early as after 1 day. If FAS are to be analyzed in a very precise manner, the analysis should be performed immediately upon sampling. However, FAS remain adequately reliable for long periods of time even without preservation in deep freeze, widening the availability of potential samples for studies on foraging ecology and related disciplines.Peer reviewe

Finnish gelsolin amyloidosis causes significant disease burden but does not affect survival: FIN-GAR phase II study

Abstract Background Hereditary gelsolin (AGel) amyloidosis is an autosomal dominantly inherited systemic amyloidosis that manifests with the characteristic triad of progressive ophthalmological, neurological and dermatological signs and symptoms. The National Finnish Gelsolin Amyloidosis Registry (FIN-GAR) was founded in 2013 to collect clinical data on patients with AGel amyloidosis, including altogether approximately one third of the Finnish patients. We aim to deepen knowledge on the disease burden and life span of the patients using data from the updated FIN-GAR registry. We sent an updated questionnaire concerning the symptoms and signs, symptomatic treatments and subjective perception on disease progression to 240 members of the Finnish Amyloidosis Association (SAMY). We analyzed the lifespan of 478 patients using the relative survival (RS) framework. Results The updated FIN-GAR registry includes 261 patients. Symptoms and signs corresponding to the classical triad of ophthalmological (dry eyes in 93%; corneal lattice amyloidosis in 89%), neurological (numbness, tingling and other paresthesias in 75%; facial paresis in 67%), and dermatological (drooping eyelids in 86%; cutis laxa in 84%) manifestations were highly prevalent. Cardiac arrhythmias were reported by 15% of the patients and 5% had a cardiac pacemaker installed. Proteinuria was reported by 13% and renal failure by 5% of the patients. A total of 65% of the patients had undergone a skin or soft tissue surgery, 26% carpal tunnel surgery and 24% at least unilateral cataract surgery. As regards life span, relative survival estimates exceeded 1 for males and females until the age group of 70–74 years, for which it was 0.96. Conclusions AGel amyloidosis causes a wide variety of ophthalmological, neurological, cutaneous, and oral symptoms that together with repeated surgeries cause a clinically significant disease burden. Severe renal and cardiac manifestations are rare as compared to other systemic amyloidoses, explaining in part the finding that AGel amyloidosis does not shorten the life span of the patients at least for the first 75 years

Multiobjective optimization identifies cancer-selective combination therapies

Author summaryCancer is diagnosed in nearly 40% of people in the U.S at some point during their lifetimes. Despite decades of research to lower cancer incidence and mortality, cancer remains a leading cause of deaths worldwide. Therefore, new targeted therapies are required to further reduce the death rates and toxic effects of treatments. Here we developed a mathematical optimization framework for finding cancer-selective treatments that optimally use drugs and their combinations. The method uses multiobjective optimization to identify drug combinations that simultaneously show maximal therapeutic potential and minimal non-selectivity, to avoid severe side effects. Our systematic search approach is applicable to various cancer types and it enables optimization of combinations involving both targeted therapies as well as standard chemotherapies.Combinatorial therapies are required to treat patients with advanced cancers that have become resistant to monotherapies through rewiring of redundant pathways. Due to a massive number of potential drug combinations, there is a need for systematic approaches to identify safe and effective combinations for each patient, using cost-effective methods. Here, we developed an exact multiobjective optimization method for identifying pairwise or higher-order combinations that show maximal cancer-selectivity. The prioritization of patient-specific combinations is based on Pareto-optimization in the search space spanned by the therapeutic and nonselective effects of combinations. We demonstrate the performance of the method in the context of BRAF-V600E melanoma treatment, where the optimal solutions predicted a number of co-inhibition partners for vemurafenib, a selective BRAF-V600E inhibitor, approved for advanced melanoma. We experimentally validated many of the predictions in BRAF-V600E melanoma cell line, and the results suggest that one can improve selective inhibition of BRAF-V600E melanoma cells by combinatorial targeting of MAPK/ERK and other compensatory pathways using pairwise and third-order drug combinations. Our mechanism-agnostic optimization method is widely applicable to various cancer types, and it takes as input only measurements of a subset of pairwise drug combinations, without requiring target information or genomic profiles. Such data-driven approaches may become useful for functional precision oncology applications that go beyond the cancer genetic dependency paradigm to optimize cancer-selective combinatorial treatments

N-glycomic profiling of colorectal cancer according to tumor stage and location

Alterations in glycosylation are seen in many types of cancer, including colorectal cancer (CRC). Glycans, the sugar moieties of glycoconjugates, are involved in many important functions relevant to cancer and can be of value as biomarkers. In this study, we have used mass spectrometry to analyze the N-glycan profiles of 35 CRC tissue samples and 10 healthy tissue samples from non-CRC patients who underwent operations for other reasons. The tumor samples were divided into groups depending on tumor location (right or left colon) and stage (II or III), while the healthy samples were divided into right or left colon. The levels of neutral and acidic N-glycan compositions and glycan classes were analyzed in a total of ten different groups. Surprisingly, there were no significant differences in glycan levels when all right- and left-sided CRC samples were compared, and few differences (such as in the abundance of the neutral N-glycan H3N5) were seen when the samples were divided according to both location and stage. Multiple significant differences were found in the levels of glycans and glycan classes when stage II and III samples were compared, and these glycans could be of value as candidates for new markers of cancer progression. In order to validate our findings, we analyzed healthy tissue samples from the right and left colon and found no significant differences in the levels of any of the glycans analyzed, confirming that our findings when comparing CRC samples from the right and left colon are not due to normal variations in the levels of glycans between the healthy right and left colon. Additionally, the levels of the acidic glycans H4N3F1P1, H5N4F1P1, and S1H5N4F1 were found to change in a cancer-specific but colon location-nonspecific manner, indicating that CRC affects glycan levels in similar ways regardless of tumor location.Peer reviewe

Productization as a link to combining product portfolio management and product family development

In R&D many disciplines focus on different aspects of managing the product life cycle. Generally, the focus can be divided into technical aspects and business aspects. Combining these two views, and research areas can be beneficial in the context of productization. Productization links to the concept of product structure and relates to modelling of the offering according to a consistent product structure, commercially and technically. The goal of this research is to identify how a business-specific product structure can be formed and should be managed to maximize the value of the offering. This study uses a literature review for defining the current state of product portfolio management (PPM) and product family development (PFD) concepts with linkages to productization. As a result, this study presents similarities and differences between PPM and PFD through the productization lens. A suggestion of combining the best practices of both approaches is demonstrated through an illustrative case study. Also, proposals for future research are presented. The main contribution involves indicating that effective PPM requires a business-specific physical product structure and partitioning logic. The benefits of PPM can only be truly captured through applicable product structure. Therefore, PFD is recommended to be used in designing product portfolio related technical aspects. PPM is applied for management purposes with the support of a defined product structure.publishedVersionPeer reviewe