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1. Epigenetic gold occurrence in a Paleoproterozoic meta-evaporitic sequence in the Rompas-Rajapalot Au system, Peräpohja belt, northern Finland

Author

Ranta, J.-P., Molnár, F., Hanski, E., and Cook, N.

Subjects
gold, fluid inclusions, Paleoproterozoic, Peräpohja belt, Rompas-Rajapalot, Palokas, Finland, Geology, QE1-996.5
Abstract

The Rompas-Rajapalot gold prospect is located in the northern part of the Paleoproterozoic Peräpohja belt. It covers an area of at least 10 x 10 km and comprises various styles of gold mineralization ranging from localized high-grade Au pockets in uraniniteand pyrobitumen-bearing calcsilicate-carbonate-quartz veins in mafic metavolcanic rocks (Rompas area) to disseminated gold grains in Fe-Mg-rich metasediments and quartz-tourmaline-sulfide-native gold veins (Palokas area). This study deals with the petrography and mineral chemistry of the gold mineralization at Palokas, which occurs in the eastern part of the Rompas-Rajapalot prospect. Major and trace element data and fluid inclusion characteristics of tourmaline are used to evaluate the origin and the pressure-temperature-fluid composition parameters of hydrothermal fluids. Whole-rock geochemical analyses are utilized to evaluate the nature of the protolith of the host rocks. Gold occurs in a native form in at least two different textural settings: 1) single, relatively coarse grains disseminated among the rock-forming silicates in cordierite-orthoamphibole rocks and 2) smaller grains occurring in fractures of tourmaline in quartz-sulfide-tourmaline breccias and in fractures of chloritized cordierite-orthoamphibole rocks adjacent to the tourmaline-rich breccias. Fracture-related gold is associated with Bi-Se-S-bearing tellurides, native Bi, molybdenite, chalcopyrite, and pyrrhotite. Coarser-grained disseminated gold were not found to be clearly associated with sulfides nor any fractures. Statistical correlations show that the Au concentration correlates strongly with Te, Cu, Co, Se, Bi, Mo, and Ag (ρ = 0.730–0.619) whereas Au correlates moderately with As, Fe, W (ρ = 0.523–0.511) and to a lesser extent with U, Pb, and Ni (ρ = 0.492–0.407). Gold has the strongest negative correlations with Sr and Ca. The chondrite-normalized REE patterns of tourmaline from the Au-mineralized rocks (both vein type and host-rock tourmaline) and the late- to post-orogenic granite partly overlap and show similar LREE-enriched trends, with the enrichment being lower in tourmaline from the granite. Fluid inclusion studies from tourmaline in gold-bearing quartz-tourmaline-sulfide veins indicate that the veins were formed from H2O-Na2O-CO2- CH4-(H2S) fluids in a boiling system under pressure conditions ranging from lithostatic to hydrostatic, with the depth being ~5 km and the temperature ~300°C. The properties of the ore-forming fluids support the genetic link between the late- to post-orogenic granitoid magmatism at ~1.78 Ga and the formation of the fracture-hosted gold mineralization, suggested based on earlier studies (including Re-Os-molybdenite age and boron isotope data from tourmaline). Based on the whole-rock geochemistry, it is highly plausible that the cordierite-orthoamphibole rocks and interlayered calcsilicatealbite rocks are part of a basin-wide lacustrine, at least partly evaporitic, sequence. The protolith of the cordierite-orthoamphibole rock was most probably a lake-margin sedimentary pile with abundant Mg-rich clays.

Published
2018
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5. Mineralogical, lithogeochemical and sulfide trace element characteristics of the Hirvilavanmaa Au-only and the base metal-rich Naakenavaara orogenic gold deposits in the Central Lapland belt, northern Finland

Author

Vasilopoulos, M. (Mikael), Molnár, F. (Ferenc), Ranta, J.-P. (Jukka-Pekka), O'Brien, H. (Hugh), Vasilopoulos, M. (Mikael), Molnár, F. (Ferenc), Ranta, J.-P. (Jukka-Pekka), and O'Brien, H. (Hugh)

Abstract

The Hirvilavanmaa (Au-only) and Naakenavaara (Cu-Co-Au-Ni) deposits, located only 5 km apart in the Paleoproterozoic Central Lapland belt (CLB) in northern Finland, represent two types of orogenic gold mineralization that dominate the CLB: (1) Au-only and (2) Au with atypical metal association, respectively. In this study, we compare these deposits in order to pinpoint the origin of differences in their metal associations. The pyrite-rich Hirvilavanmaa and the pyrrhotite- and chalcopyrite-rich Naakenavaara deposits are hosted primarily by ultramafic metavolcanic and metasedimentary rocks respectively. Similarities in the deposits include pre-ore albitization of host rocks and ore mineralization-related carbonate and chlorite alteration and quartz‑carbonate veins. Ore-related sericite and biotite alteration is prominent only at Naakenavaara. Pyrite and chalcopyrite from the two deposits have a distinct trace element geochemistry; pyrrhotite from Naakenavaara hosts significant Co and Ni concentrations. At Hirvilavanmaa, three pyrite generations with distinct Co/Ni ratios represent the gradual evolution of ore deposition. Hirvilavanmaa can be confidently classified as an orogenic Au deposit with evidence pointing to a mafic metavolcanic rock source for the ore-forming components. At Naakenavaara, our results reveal a complex evolution involving two distinct but spatially coincident mineralizing events. The earliest base metal-rich event started as Co-rich and gradually developed into the main Cu-rich stage; two pyrite types (mean Co/Ni ratios of 12.5 and 762 respectively) are associated with these stages. Subsequently ore zones were overprinted locally by an orogenic Au event that deposited pyrite with low Co/Ni ratios (mean of 0.3). The presence of late gold deposition overprinting earlier base metal-rich ore fits with observations from other base metal‑gold deposits from northern Finland.

Published
2023

7. Predictors of Access to Rehabilitation in the Year Following Traumatic Brain Injury: A European Prospective and Multicenter Study

Author

Jacob, L, Cogne, M, Tenovuo, O, Roe, C, Andelic, N, Majdan, M, Ranta, J, Ylen, P, Dawes, H, Azouvi, P, Akerlund, C, Amrein, K, Andreassen, L, Anke, A, Antoni, A, Audibert, G, Azzolini, M, Bartels, R, Barzo9, P, Beauvais, R, Beer, R, Bellander, B, Belli, A, Benali, H, Berardino, M, Beretta, L, Blaabjerg, M, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Cabeleira, M, Caccioppola, A, Calappi, E, Calvi, M, Cameron, P, Carbayo Lozano, G, Carbonara, M, Cavallo, S, Chevallard, G, Chieregato, A, Citerio, G, Ceyisakar, I, Clusmann, H, Coburn, M, Coles, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Dark, P, De Keyser, V, Degos, V, Della Corte, F, den Boogert, H, Depreitere, B, Dilvesi, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Foks, K, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, George, P, Ghuysen, A, Giga, L, Glocker, B, Golubovic, J, Gomez, P, Gratz, J, Gravesteijn, B, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Haitsma, I, Helbok, R, Helseth, E, Horton, L, Huijben, J, Hutchinson, P, Jacobs, B, Jankowski, S, Jarrett, M, Jiang, J, Johnson, F, Jones, K, Karan, M, Kolias, A, Kompanje, E, Kondziella, D, Koraropoulos, E, Koskinen, L, Kovacs, N, Kowark, A, Lagares, A, Lanyon, L, Laureys, S, Lecky, F, Ledoux, D, Lefering, R, Legrand, V, Lejeune, A, Levi, L, Lightfoot, R, Lingsma, H, Maas, A, Castano-Leon, A, Maegele, M, Manara, A, Manley, G, Martino, C, Marechal, H, Mattern, J, Mcmahon, C, Melegh, B, Menon, D, Menovsky, T, Mikolic, A, Misset, B, Muraleedharan, V, Murray, L, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Nyiradi, J, Olubukola, O, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Payen, J, Perera, N, Perlbarg, V, Persona, P, Peul, W, Piippo-Karjalainen, A, Pirinen, M, Ples, H, Polinder, S, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Rhodes, J, Richardson, S, Richter, S, Ripatti, S, Rocka, S, Roise, O, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sahuquillo, J, Sakowitz, O, Sanchez-Porras, R, Sandor, J, Schafer, N, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Sewalt, C, Skandsen, T, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Stevens, R, Stewart, W, Steyerberg, E, Stocchetti, N, Sundstrom, N, Synnot, A, Takala, R, Tamas, V, Tamosuitis, T, Taylor, M, Te Ao, B, Theadom, A, Thomas, M, Tibboel, D, Timmers, M, Tolias, C, Trapani, T, Tudora, C, Vajkoczy, P, Vallance, S, Valeinis, E, Vamos, Z, van der Jagt, M, Van der Steen, G, van der Naalt, J, van Dijck, J, van Essen, T, Van Hecke, W, van Heugten, C, Van Praag, D, Vande Vyvere, T, van Wijk, R, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Volovici, V, von Steinbuchel, N, Voormolen, D, Vulekovic, P, Wang, K, Wiegers, E, Williams, G, Wilson, L, Winzeck, S, Wolf, S, Yang, Z, Younsi, A, Zeiler, F, Zelinkova, V, Ziverte, A, Zoerle, T, Jacob L., Cogne M., Tenovuo O., Roe C., Andelic N., Majdan M., Ranta J., Ylen P., Dawes H., Azouvi P., Akerlund C., Amrein K., Andreassen L., Anke A., Antoni A., Audibert G., Azzolini M. L., Bartels R., Barzo9 P., Beauvais R., Beer R., Bellander B. -M., Belli A., Benali H., Berardino M., Beretta L., Blaabjerg M., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Cabeleira M., Caccioppola A., Calappi E., Calvi M. R., Cameron P., Carbayo Lozano G., Carbonara M., Cavallo S., Chevallard G., Chieregato A., Citerio G., Ceyisakar I., Clusmann H., Coburn M., Coles J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Dark P., De Keyser V., Degos V., Della Corte F., den Boogert H., Depreitere B., Dilvesi D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Foks K., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., George P., Ghuysen A., Giga L., Glocker B., Golubovic J., Gomez P. A., Gratz J., Gravesteijn B., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Haitsma I., Helbok R., Helseth E., Horton L., Huijben J., Hutchinson P. J., Jacobs B., Jankowski S., Jarrett M., Jiang J. -Y., Johnson F., Jones K., Karan M., Kolias A. G., Kompanje E., Kondziella D., Koraropoulos E., Koskinen L. -O., Kovacs N., Kowark A., Lagares A., Lanyon L., Laureys S., Lecky F., Ledoux D., Lefering R., Legrand V., Lejeune A., Levi L., Lightfoot R., Lingsma H., Maas A. I. R., Castano-Leon A. M., Maegele M., Manara A., Manley G., Martino C., Marechal H., Mattern J., McMahon C., Melegh B., Menon D., Menovsky T., Mikolic A., Misset B., Muraleedharan V., Murray L., Negru A., Nelson D., Newcombe V., Nieboer D., Nyiradi J., Olubukola O., Oresic M., Ortolano F., Palotie A., Parizel P. M., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Pirinen M., Ples H., Polinder S., Pomposo I., Posti J. P., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Rhodes J., Richardson S., Richter S., Ripatti S., Rocka S., Roise O., Rosand J., Rosenfeld J. V., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sahuquillo J., Sakowitz O., Sanchez-Porras R., Sandor J., Schafer N., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Sewalt C., Skandsen T., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Stevens R., Stewart W., Steyerberg E. W., Stocchetti N., Sundstrom N., Synnot A., Takala R., Tamas V., Tamosuitis T., Taylor M. S., Te Ao B., Theadom A., Thomas M., Tibboel D., Timmers M., Tolias C., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Vamos Z., van der Jagt M., Van der Steen G., van der Naalt J., van Dijck J. T. J. M., van Essen T. A., Van Hecke W., van Heugten C., Van Praag D., Vande Vyvere T., van Wijk R. P. J., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Volovici V., von Steinbuchel N., Voormolen D., Vulekovic P., Wang K. K. W., Wiegers E., Williams G., Wilson L., Winzeck S., Wolf S., Yang Z., Younsi A., Zeiler F. A., Zelinkova V., Ziverte A., Zoerle T., Jacob, L, Cogne, M, Tenovuo, O, Roe, C, Andelic, N, Majdan, M, Ranta, J, Ylen, P, Dawes, H, Azouvi, P, Akerlund, C, Amrein, K, Andreassen, L, Anke, A, Antoni, A, Audibert, G, Azzolini, M, Bartels, R, Barzo9, P, Beauvais, R, Beer, R, Bellander, B, Belli, A, Benali, H, Berardino, M, Beretta, L, Blaabjerg, M, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Cabeleira, M, Caccioppola, A, Calappi, E, Calvi, M, Cameron, P, Carbayo Lozano, G, Carbonara, M, Cavallo, S, Chevallard, G, Chieregato, A, Citerio, G, Ceyisakar, I, Clusmann, H, Coburn, M, Coles, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Dark, P, De Keyser, V, Degos, V, Della Corte, F, den Boogert, H, Depreitere, B, Dilvesi, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Foks, K, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, George, P, Ghuysen, A, Giga, L, Glocker, B, Golubovic, J, Gomez, P, Gratz, J, Gravesteijn, B, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Haitsma, I, Helbok, R, Helseth, E, Horton, L, Huijben, J, Hutchinson, P, Jacobs, B, Jankowski, S, Jarrett, M, Jiang, J, Johnson, F, Jones, K, Karan, M, Kolias, A, Kompanje, E, Kondziella, D, Koraropoulos, E, Koskinen, L, Kovacs, N, Kowark, A, Lagares, A, Lanyon, L, Laureys, S, Lecky, F, Ledoux, D, Lefering, R, Legrand, V, Lejeune, A, Levi, L, Lightfoot, R, Lingsma, H, Maas, A, Castano-Leon, A, Maegele, M, Manara, A, Manley, G, Martino, C, Marechal, H, Mattern, J, Mcmahon, C, Melegh, B, Menon, D, Menovsky, T, Mikolic, A, Misset, B, Muraleedharan, V, Murray, L, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Nyiradi, J, Olubukola, O, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Payen, J, Perera, N, Perlbarg, V, Persona, P, Peul, W, Piippo-Karjalainen, A, Pirinen, M, Ples, H, Polinder, S, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Rhodes, J, Richardson, S, Richter, S, Ripatti, S, Rocka, S, Roise, O, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sahuquillo, J, Sakowitz, O, Sanchez-Porras, R, Sandor, J, Schafer, N, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Sewalt, C, Skandsen, T, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Stevens, R, Stewart, W, Steyerberg, E, Stocchetti, N, Sundstrom, N, Synnot, A, Takala, R, Tamas, V, Tamosuitis, T, Taylor, M, Te Ao, B, Theadom, A, Thomas, M, Tibboel, D, Timmers, M, Tolias, C, Trapani, T, Tudora, C, Vajkoczy, P, Vallance, S, Valeinis, E, Vamos, Z, van der Jagt, M, Van der Steen, G, van der Naalt, J, van Dijck, J, van Essen, T, Van Hecke, W, van Heugten, C, Van Praag, D, Vande Vyvere, T, van Wijk, R, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Volovici, V, von Steinbuchel, N, Voormolen, D, Vulekovic, P, Wang, K, Wiegers, E, Williams, G, Wilson, L, Winzeck, S, Wolf, S, Yang, Z, Younsi, A, Zeiler, F, Zelinkova, V, Ziverte, A, Zoerle, T, Jacob L., Cogne M., Tenovuo O., Roe C., Andelic N., Majdan M., Ranta J., Ylen P., Dawes H., Azouvi P., Akerlund C., Amrein K., Andreassen L., Anke A., Antoni A., Audibert G., Azzolini M. L., Bartels R., Barzo9 P., Beauvais R., Beer R., Bellander B. -M., Belli A., Benali H., Berardino M., Beretta L., Blaabjerg M., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Cabeleira M., Caccioppola A., Calappi E., Calvi M. R., Cameron P., Carbayo Lozano G., Carbonara M., Cavallo S., Chevallard G., Chieregato A., Citerio G., Ceyisakar I., Clusmann H., Coburn M., Coles J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Dark P., De Keyser V., Degos V., Della Corte F., den Boogert H., Depreitere B., Dilvesi D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Foks K., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., George P., Ghuysen A., Giga L., Glocker B., Golubovic J., Gomez P. A., Gratz J., Gravesteijn B., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Haitsma I., Helbok R., Helseth E., Horton L., Huijben J., Hutchinson P. J., Jacobs B., Jankowski S., Jarrett M., Jiang J. -Y., Johnson F., Jones K., Karan M., Kolias A. G., Kompanje E., Kondziella D., Koraropoulos E., Koskinen L. -O., Kovacs N., Kowark A., Lagares A., Lanyon L., Laureys S., Lecky F., Ledoux D., Lefering R., Legrand V., Lejeune A., Levi L., Lightfoot R., Lingsma H., Maas A. I. R., Castano-Leon A. M., Maegele M., Manara A., Manley G., Martino C., Marechal H., Mattern J., McMahon C., Melegh B., Menon D., Menovsky T., Mikolic A., Misset B., Muraleedharan V., Murray L., Negru A., Nelson D., Newcombe V., Nieboer D., Nyiradi J., Olubukola O., Oresic M., Ortolano F., Palotie A., Parizel P. M., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Pirinen M., Ples H., Polinder S., Pomposo I., Posti J. P., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Rhodes J., Richardson S., Richter S., Ripatti S., Rocka S., Roise O., Rosand J., Rosenfeld J. V., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sahuquillo J., Sakowitz O., Sanchez-Porras R., Sandor J., Schafer N., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Sewalt C., Skandsen T., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Stevens R., Stewart W., Steyerberg E. W., Stocchetti N., Sundstrom N., Synnot A., Takala R., Tamas V., Tamosuitis T., Taylor M. S., Te Ao B., Theadom A., Thomas M., Tibboel D., Timmers M., Tolias C., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Vamos Z., van der Jagt M., Van der Steen G., van der Naalt J., van Dijck J. T. J. M., van Essen T. A., Van Hecke W., van Heugten C., Van Praag D., Vande Vyvere T., van Wijk R. P. J., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Volovici V., von Steinbuchel N., Voormolen D., Vulekovic P., Wang K. K. W., Wiegers E., Williams G., Wilson L., Winzeck S., Wolf S., Yang Z., Younsi A., Zeiler F. A., Zelinkova V., Ziverte A., and Zoerle T.

Abstract

Background: Although rehabilitation is beneficial for individuals with traumatic brain injury (TBI), a significant proportion of them do not receive adequate rehabilitation after acute care. Objective: Therefore, the goal of this prospective and multicenter study was to investigate predictors of access to rehabilitation in the year following injury in patients with TBI. Methods: Data from a large European study (CENTER-TBI), including TBIs of all severities between December 2014 and December 2017 were used (N = 4498 patients). Participants were dichotomized into those who had and those who did not have access to rehabilitation in the year following TBI. Potential predictors included sociodemographic factors, psychoactive substance use, preinjury medical history, injury-related factors, and factors related to medical care, complications, and discharge. Results: In the year following traumatic injury, 31.4% of patients received rehabilitation services. Access to rehabilitation was positively and significantly predicted by female sex (odds ratio [OR] = 1.50), increased number of years of education completed (OR = 1.05), living in Northern (OR = 1.62; reference: Western Europe) or Southern Europe (OR = 1.74), lower prehospital Glasgow Coma Scale score (OR = 1.03), higher Injury Severity Score (OR = 1.01), intracranial (OR = 1.33) and extracranial (OR = 1.99) surgery, and extracranial complication (OR = 1.75). On contrast, significant negative predictors were lack of preinjury employment (OR = 0.80), living in Central and Eastern Europe (OR = 0.42), and admission to hospital ward (OR = 0.47; reference: admission to intensive care unit) or direct discharge from emergency room (OR = 0.24). Conclusions: Based on these findings, there is an urgent need to implement national and international guidelines and strategies for access to rehabilitation after TBI.

Published
2020

8. Metal sourcing for a sustainable future

Author

Renn, O. (Ortwin), Gloaguen, R. (Richard), Benighaus, C. (Christina), Ajjabou, L. (Leila), Benighaus, L. (Ludger), Del Rio, V. (Virginia), Gómez, J. (Javier), Kauppi, S. (Sari), Keßelring, M. (Michaela), Kirsch, M. (Moritz), Komac, M. (Marko), Kotilainen, J. (Juha), Kozlovskaya, E. (Elena), Lyytimaki, J. (Jari), McCallum, C. (Cathryn), Mononen, T. (Tuija), Nevalainen, J. (Jouni), Peltonen, L. (Lasse), Ranta, J.-P. (Jukka-Pekka), Ruiz, S. (Stephane), Russill, J. (Jon), Wagner, F. (Frank), Renn, O. (Ortwin), Gloaguen, R. (Richard), Benighaus, C. (Christina), Ajjabou, L. (Leila), Benighaus, L. (Ludger), Del Rio, V. (Virginia), Gómez, J. (Javier), Kauppi, S. (Sari), Keßelring, M. (Michaela), Kirsch, M. (Moritz), Komac, M. (Marko), Kotilainen, J. (Juha), Kozlovskaya, E. (Elena), Lyytimaki, J. (Jari), McCallum, C. (Cathryn), Mononen, T. (Tuija), Nevalainen, J. (Jouni), Peltonen, L. (Lasse), Ranta, J.-P. (Jukka-Pekka), Ruiz, S. (Stephane), Russill, J. (Jon), and Wagner, F. (Frank)

Abstract

Drastic measures are required to meet the standards of the Paris Agreement and limit the increase of global average temperatures well below 2°C compared to pre-industrial levels. Mining activities are typically considered as unsustainable but, at the same time, metals such as cobalt and lithium are essential to sustain the energy transition. Several sustainability goals defined by the United Nations (UN) require large quantities of raw materials. Exploration and extractives activities are required in order to contribute to meeting sustainability standards. Future sourcing of metals will need to implement procedures that go well beyond current ecological, economic, and social requirements and practices. In this paper we assess the usual sustainability criteria and how they apply to the extractives sector. Sustainability can only be achieved if one accepts that the natural capital can be substituted by other forms of capital (so called weak concept of sustainability). Sourcing the raw materials increasingly demanded by our societies will need transparent and inclusive stakeholder participation as well as a holistic understanding of the impact of extractives activities to reach this weak sustainability status. Our analysis shows that the sustainability of mining cannot be reached without harmonized political instruments and investment policies that take the three pillars of environmental, economic, and social sustainability as a major priority.

Published
2022

9. Contributors

Author

Brownscombe, W., primary, Cook, N.D.J., additional, Coppard, J., additional, Dahlenborg, L., additional, Eilu, P., additional, Haapala, I., additional, Halkoaho, T., additional, Hanski, E., additional, Hartikainen, A., additional, Hartshorne, C., additional, Havela, T., additional, Heilimo, E., additional, Heino, P., additional, Herrington, R.J., additional, Hudson, M.R., additional, Huhtelin, T., additional, Hyvönen, E., additional, Ihlenfeld, C., additional, Iljina, M., additional, Imaña, M., additional, Jones, S., additional, Karinen, T., additional, Kinnunen, J., additional, Klatt, S., additional, Konnunaho, J., additional, Kontinen, A., additional, Koppström, K., additional, Kortelainen, V.J., additional, Kousa, J., additional, Lahti, I., additional, Lappalainen, M., additional, Lehtinen, M.J., additional, Liikanen, J., additional, Lindborg, T., additional, Luolavirta, K., additional, Luukas, J., additional, Maier, W.D., additional, Mäki, T., additional, Makkonen, H.V., additional, Moilanen, M., additional, Molnár, F., additional, Kärkkäinen, N., additional, Niiranen, T., additional, Nurmi, P.A., additional, Nykänen, V., additional, O’Brien, H., additional, Oliver, N.H.S., additional, Sarapää, O., additional, Papunen, H., additional, Parkkinen, J., additional, Wyche, N.L., additional, Peltonen, P., additional, Pohjolainen, E., additional, Prave, A.R., additional, Ranta, J.-P., additional, Rasilainen, K., additional, Santaguida, F., additional, Sarala, P., additional, Schaubs, P., additional, Siikaluoma, J.K., additional, Sorjonen-Ward, P.B., additional, Taipale, A., additional, Rämö, O.T., additional, Al-Ani, T., additional, Ahtola, T., additional, Törmänen, T., additional, Tuokko, I., additional, Välimaa, J., additional, Vanhanen, E., additional, Voipio, T., additional, Ylinen, J., additional, and Zhang, Y., additional

Published
2015
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12. Paleoproterozoic Rajapalot Au-Co system associated with evaporites:chemical composition and boron isotope geochemistry of tourmaline, and sulfur isotopes of sulfates, Peräpohja belt, northern Finland

Author

Tapio, J. (Juho), Ranta, J.-P. (Jukka-Pekka), Cook, N. (Nick), Lahaye, Y. (Yann), and O’Brien, H. (Hugh)

Subjects
Tourmaline, Evaporites, Cobalt, Gold, Peräpohja belt, Paleoproterozoic
Abstract

The Raja Au-Co mineralization in the Paleoproterozoic Peräpohja belt in northern Finland is part of the wider Rompas-Rajapalot mineralized area with several known Au-Co occurrences. The area is characterized by distinct tourmaline occurrences, spatially associated with Au-Co mineralization. Four texturally distinct tourmaline types were identified although all analysed tourmalines belong to the alkali-group and are classified as dravite. δ ¹¹B values and fractionation modelling indicates that at least two distinct fluids were responsible for the tourmaline formation with initial end member δ¹¹B values of the fluids at −8‰ and −1‰. Possible sources for boron rich fluids are Svecofennian orogeny related (ca. < 1.9 Ga) metamorphic fluids and magmatic-hydrothermal fluids related to the late-orogenic ca. 1.78 Ga granitoids. Structural data from the quartz-tourmaline veins outlines a strong linear trend towards the Raja high-grade mineralization trend. This is interpreted as evidence for structural control of the Raja mineralization, which possibly is contained in shear-zones or within the hinge regions of local high degree folding. A distinctive rock unit with bright purple anhydrite layers and white gypsum veins has been intersected by drilling. While the sulfate-rich unit is unmineralized, the mineralogy and regional geological setting suggests an evaporitic origin. Anhydrite has δ³⁴S values in a narrow range from 8.1 to 9.8 ‰. Gypsum has slightly heavier δ³⁴S from 10.6 to 12.2 ‰. Together with isotope fractionation constraints, textural evidence suggests the authigenic formation of gypsum with SO₄²⁻ sourced from anhydrite. Significant similarities in textures and sulfur isotope values to well-known evaporite successions of the Onega basin, western Russia, further supports the presence of evaporitic strata within the Peräpohja belt.

Published
2021

14. Network orchestration and system dynamics modelling in developing innovative decision support systems for policy makers

Author

Pikkarainen, M. (Minna), Gomes, J. F. (Julius Francis), Ranta, J. (Jukka), Ylén, P. (Peter), Iivari, M. (Marika), and Hurmelinna-Laukkanen, P. (Piia)

Subjects
decision support tool, decision support, decision support system, system thinking, prediction, Network orchestration, future prediction, innovation network orchestration, regional decision making, data driven decision support, public health policies, data driven decision support tool, policy making, system dynamics, system dynamics modeling, innovation orchestration
Abstract

The decisions on public health policies have great impact on our society and citizens. These decisions made by policy makers are typically driven by various types of continuously changing and interlinked determinants, such as economic, social, political, and technological factors. In this dynamic setting, it is not possible for one person, or even for a team, to understand the whole system, and all cause–effect relations. Therefore, there is a need for datadriven decision support tools. Here, attention is turned to the potential of system dynamics modeling and innovation network orchestration for developing such tools. In the book chapter, it is shown how orchestration of a network and the use of system dynamics modeling (that makes visible the causes and effects of systemic challenges) come together in relation to developing an innovative data-driven decision support system for policy makers.

Published
2020

15. From oil digger to energy transition enabler:the critical role of exploration geosciences education in Europe

Author

Jansson, N. (Nils), Ranta, J.-P. (Jukka-Pekka), Berthet, T. (Théo), Suopajärvi, L. (Leena), Jansson, N. (Nils), Ranta, J.-P. (Jukka-Pekka), Berthet, T. (Théo), and Suopajärvi, L. (Leena)

Abstract

Recent disruptions of raw material value chains during the COVID-19 pandemic have highlighted Europe’s depency on imports of metals and minerals. Meanwhile, the European Commission is establishing ambitious policy initiatives, aiming at making Europe climate neutral in 2050. In this contribution, we emphasise the critical role of geosciences education in this energy transition, in forming the next generation of mining professionals. In the Nordic countries, active industry–university collaboration in one of the most active mining hubs in Europe has allowed frequent student–industry interaction, access to real-life learning environments, and development of specialised educational modules. These have been made accessible to exchange students from other European countries via exchange programmes and innovative digipedagogical learning tools.

Published
2020

16. Kivilompolo Mo mineralization in the Peräpohja belt revisited:trace element geochemistry and Re-Os dating of molybdenite

Author

Ranta, J.-P. (Jukka-Pekka), Hanski, E. (Eero), Stein, H. (Holly), Goode, M. (Matthew), Mäki, T. (Timo), Taivalkoski, A. (Atte), Ranta, J.-P. (Jukka-Pekka), Hanski, E. (Eero), Stein, H. (Holly), Goode, M. (Matthew), Mäki, T. (Timo), and Taivalkoski, A. (Atte)

Abstract

The Kivilompolo molybdenite occurrence is located in the northern part of the Peräpoh jabelt, within the lithodemic Ylitornio nappe complex. It is hosted within a deformed porphyritic granite belonging to the pre-orogenic 1.99 Ga Kierovaara suite. The mineralization occurs mostly as coarse-grained molybdenite flakes in boudinaged quartz veins, with minor chalcopyrite, pyrite, magnetite, and ilmenite. In this study, we report new geochemical data from the host-rock granite and Re-Os dating results of molybdenite from the mineralization. For the whole-rock geochemistry, the mineralized granite is similar to the Kierovaara suite granites analyzed in previous studies. Also, the ca. 2.0 Ga Re-Os age for molybdenite is equal, within error, to the U-Pb zircon age of the Kierovaara suite granite. In addition, similar molybdenite and uraninite ages have been reported from the Rompas-Rajapalot Au-Co occurrence located 30 km NE of Kivilompolo. We propose that the magmatism at around 2.0 Ga ago initiated the hydrothermal circulation that was responsible for the formation of the molybdenite mineralization at Kivilompolo and the primary uranium mineralization associated with the Rompas-Rajapalot Au-Co occurrence or at least, the magmas provided heating, and in addition potentially saline magmatic fluids and metals from a large, cooling magmatic-hydrothermal system.

Published
2020

19. Bayesian estimation of the total intake of chemical contaminants from multiple food products

Author

Mikkelä A., Ranta J., Pasonen P., Suomi J., Hirvonen T., Suominen K., and Tuominen P.

Subjects
Modeling, Intake, Chemical contaminant, Finland
Abstract

The Bayesian model was built to estimate the acute as well as the chronic intake of chemical contaminants from food products. The model was applied to estimate the cadmium intake from several food products. The food consumption data (grains, meat, fish, and milk) were based on the 48-h dietary recall of 2038 adults, and cadmium concentration data were drawn from the control program. The cadmium concentration in each food product was modeled using a log-normal distribution. The measurements below the limit of detection were treated as censored data in order to achieve optimum estimates. The long-term consumption of each food product was obtained as a combination of the estimated acute consumption (days when used) and consumption frequency. The consumption frequency was modeled using a binomial logit model with multinormal prior to take into account the correlation in consumption between different food products as well as the variation between different individuals. Finally, the chronic intake was achieved by the combination of the estimated mean concentration and long-term consumption. The computation of the model was performed in OpenBUGS via R software. The proposed model provides a proper way to assess the chronic intake of chemical contaminants due to a single source as well as total diet taking into account individual variation. The model was made to be flexible for different requirements of research and data sets. The concentration model performs well even when the size of the data set is small, and a large proportion of the concentration measurements is below the limit of detection. The proposed model could also be expanded to estimate the joint intake of several contaminants at once. The modeling of the possible correlation between the consumption amount and consumption frequency is another issue that needs to be further studied. In future, the model could also be converted into a tool that anyone can use., FI; PDF; antti.mikkela@ruokavirasto.fi

Published
2019
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20. Sulphide trace element, sulphur isotope and hydrothermal alteration studies in the Juomasuo and Hangaslampi Au-Co deposits, Kuusamo belt, northeastern Finland

Author

Vasilopoulos, M. (Mikael), Ranta, J.-P. (Jukka-Pekka), Molnár, F. (Ferenc), O´Brien, H. (Hugh), and Lahaye, Y. (Yann)

Abstract

The Juomasuo and Hangaslampi Au-Co deposits are hosted by the Paleoproterozoic Kuusamo belt in northeastern Finland. Sulphur isotope and trace element data from sulphides indicate that the geochemically distinct, Au-Co and Co-only enrichments were formed from fluids of different origin. Accordingly, sericite alteration is typical in the zones of the Au-Co enrichment, whereas the chlorite-biotite-amphibole alteration occurs in relation to the Co-only mineralization. Variation in the composition of host rocks does not seem to have a strong control on the type of mineralization.

Published
2019

21. Assessment of the relative role of meat of domestic pigs, sheep, cattle, wild boars and moose for the exposure of humans to Toxoplasma gondii

Author

Olsen, A., Berg, R., Tangel, M., Larsen, H. Enemark, Alban, Lis Marianne, Johansen, Maria Vang, Vedel Nielsen, H., Houe, Hans, Sandberg, M, Jensen , T. Birk, Ranta, J., Lundén, Anna, Rosendal, T., Vigre, H, Stensvold, C.R., Jokelainen, Pikka, Pires, Sara Monteiro, Olsen, A., Berg, R., Tangel, M., Larsen, H. Enemark, Alban, Lis Marianne, Johansen, Maria Vang, Vedel Nielsen, H., Houe, Hans, Sandberg, M, Jensen , T. Birk, Ranta, J., Lundén, Anna, Rosendal, T., Vigre, H, Stensvold, C.R., Jokelainen, Pikka, and Pires, Sara Monteiro

Published
2019

26. Epigenetic gold occurrence in a Paleoproterozoic meta-evaporitic sequence in the Rompas-Rajapalot Au system, Peräpohja belt, northern Finland

Author

Ranta, J.-P. (Jukka-Pekka), Molnár, F. (Ferenc), Hanski, E. (Eero), Cook, N. (Nick), Ranta, J.-P. (Jukka-Pekka), Molnár, F. (Ferenc), Hanski, E. (Eero), and Cook, N. (Nick)

Abstract

The Rompas-Rajapalot gold prospect is located in the northern part of the Paleoproterozoic Peräpohja belt. It covers an area of at least 10 × 10 km and comprises various styles of gold mineralization ranging from localized high-grade Au pockets in uraninite- and pyrobitumen-bearing calcsilicate-carbonate-quartz veins in mafic metavolcanic rocks (Rompas area) to disseminated gold grains in Fe-Mg-rich metasediments and quartz-tourmaline-sulfide-native gold veins (Palokas area). This study deals with the petrography and mineral chemistry of the gold mineralization at Palokas, which occurs in the eastern part of the Rompas-Rajapalot prospect. Major and trace element data and fluid inclusion characteristics of tourmaline are used to evaluate the origin and the pressure-temperature-fluid composition parameters of hydrothermal fluids. Whole-rock geochemical analyses are utilized to evaluate the nature of the protolith of the host rocks. Gold occurs in a native form in at least two different textural settings: 1) single, relatively coarse grains disseminated among the rock-forming silicates in cordierite-orthoamphibole rocks and 2) smaller grains occurring in fractures of tourmaline in quartz-sulfide-tourmaline breccias and in fractures of chloritized cordierite-orthoamphibole rocks adjacent to the tourmaline-rich breccias. Fracture-related gold is associated with Bi-Se-S-bearing tellurides, native Bi, molybdenite, chalcopyrite, and pyrrhotite. Coarser-grained disseminated gold were not found to be clearly associated with sulfides nor any fractures. Statistical correlations show that the Au concentration correlates strongly with Te, Cu, Co, Se, Bi, Mo, and Ag (ρ = 0.730–0.619) whereas Au correlates moderately with As, Fe, W (ρ = 0.523–0.511) and to a lesser extent with U, Pb, and Ni (ρ = 0.492–0.407). Gold has the strongest negative correlations with Sr and Ca. The chondrite-normalized REE patterns of tourmaline from the Au-mineralized rocks (both vein type and hos

Published
2018

27. A common approach for ranking of microbiological and chemical hazards in foods based on risk assessment - useful but is it possible?

Author

Lindqvist, R., Langerholc, T., Ranta, J., Hirvonen, T., and Sand, S.

Subjects
RISK assessment, HAZARDS, HAZARD Analysis & Critical Control Point (Food safety system), RISK exposure
Abstract

This article compares and contrasts microbial and chemical risk assessment methodologies in order to evaluate the potential for a common framework for ranking of risk of chemical and microbiological hazards, and developments needed for such a framework. An overview of microbial (MRA) and chemical (CRA) risk assessment is presented and important differences are highlighted. Two microbiological and two chemical hazard-food combinations were ranked based on both a margin of exposure and a risk assessment approach. The comparisons illustrated that it is possible to rank chemical and microbiological hazard-food combinations with traditional approaches from each domain and indicated that the rank order but not the absolute measures is similar using either approach. Including severity in the assessment using DALY reduced differences between hazards and affected the outcome more than which approach was used. Ranking frameworks should include assessment of uncertainty as an integral part of the ranking, and be based on assessment of risk, not safety, and expressed in a common health metric such as disease burden. Necessary simplifications to address data gaps can involve the use of default scenarios. Challenges include comparisons of case-based vs. non-case-based health-endpoints, e.g. biomarker concentration, and integration of the severity of health effects into ranking. [ABSTRACT FROM AUTHOR]

Published
2020
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31. Workload balancing in the manufacturing environment: a multicriteria trade-off analysis.

Author

Kuula, M., Stam, A., Leino, S., Ranta, J., and Wallenius, J.

Subjects
PROCESS control systems
Abstract

We describe an application of a custom-designed model-based decision tool system to analyse the workload balancing problem at an assembly plant of Nokia Telecommunications, a Finnish manufacturer of highly customized electronic products. Our system was designed to control effectively and manage the production process of electronic devices for telecommunications link systems and satellite communications systems, among others. It assisted management in determining accurate workload forecasts, in anticipating bottlenecks in the production process, and in providing recommendations regarding how to distribute the production load optimally over the planning horizon. In particular, the system facilitated a trade-off analysis between important competitive factors, such as system throughput time and labour costs. Interesting side benefits emerged from the study. [ABSTRACT FROM AUTHOR]

Published
1999
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32. Bayesian predictive risk modeling of microbial criteria for Campylobacter in broilers

Author

Maarten Nauta, Ranta, J., Mikkelä, A., and Tuominen, P.

Abstract

Microbial Criteria define the acceptability of food products, based on the presence or detected number of microorganisms in samples. The criteria are applied at the level of defined food lots. Generally, these are interpreted as statistical batches representing the production [1]. The batches not complying with a criterion can then be e.g. rejected. A risk reduction for consumers is therefore expected. However, a quantitative estimate of the implied risk reduction is non-trivial, because it depends on many unknown parameters. The quantity and quality of data lead to uncertainties which can be assessed by computing posterior distribution of the parameters - a Bayesian evidence synthesis. The outcome of a defined Microbial Criterion (MC) for a batch provides additional evidence concerning the batch. Posterior predictive consumer risk (probability of illness) was computed for such batch(es) with the given outcome (MC met / MC not met / MC not applied) with OpenBUGS.

Published
2013

43. Pathogenic Yersinia and Listeria monocytogenes in organic pork production

Author

Riikka Katariina Laukkanen-Ninios, Ortiz, P., Hellström, S., M Siekkinen, K., Ranta, J., Nuotio, L., Maijala, R., and Hannu Korkeala

Subjects
parasitic diseases, technology, industry, and agriculture, food and beverages, Health and welfare, hormones, hormone substitutes, and hormone antagonists
Abstract

The goal of this study is to determine the prevalence of pathogenic Yersinia and Listeria monocytogenes in organic pork production and assess risks in different steps of the pork production chain.

Published
2005

45. Bayesian predictive risk modeling of microbial criteria for Campylobacter in broilers

Author

Nauta, Maarten, Ranta, J., Mikkelä, A., Tuominen, P., Nauta, Maarten, Ranta, J., Mikkelä, A., and Tuominen, P.

Abstract

Microbial Criteria define the acceptability of food products, based on the presence or detected number of microorganisms in samples. The criteria are applied at the level of defined food lots. Generally, these are interpreted as statistical batches representing the production [1]. The batches not complying with a criterion can then be e.g. rejected. A risk reduction for consumers is therefore expected. However, a quantitative estimate of the implied risk reduction is non-trivial, because it depends on many unknown parameters. The quantity and quality of data lead to uncertainties which can be assessed by computing posterior distribution of the parameters - a Bayesian evidence synthesis. The outcome of a defined Microbial Criterion (MC) for a batch provides additional evidence concerning the batch. Posterior predictive consumer risk (probability of illness) was computed for such batch(es) with the given outcome (MC met / MC not met / MC not applied) with OpenBUGS.

Published
2013

46. Scientific opinion on the link between Salmonella criteria at different stages of the poultry production chain

Author

Colin, P., Davies, R., Nørrung, B., Ranta, J., Aabo, S., Zwietering, M.H., Colin, P., Davies, R., Nørrung, B., Ranta, J., Aabo, S., and Zwietering, M.H.

Abstract

Providing guidance on detailed rules of a food safety criterion (FSC) for fresh poultry meat (chicken and turkey) during shelf life (i.e. n and c values) with the purpose to be in accordance with the existing process hygiene criterion (PHC) on poultry carcasses (i.e. n=50, c=7) proved to be difficult given differences between both criteria in their principle concepts and methodological design. The selected approach taken was to estimate, based on certain assumptions, possible n and c values of an FSC that performs detecting a similar Salmonella prevalence to that detected by the current PHC with a given degree of certainty. Calculations presented consider both batch and carcass prevalence. Guidance was additionally provided on a possible revision of both the PHC and the FSC when the EU target (1% or less broiler flocks remaining positive for Salmonella Enteritidis or Salmonella Typhimurium) would be achieved. If a target for only these two serovars is set for flock prevalence, the impact on the prevalence of Salmonella on carcasses will depend on the relative contribution of those two serovars to all Salmonella serovars. Thus, if the current flock prevalence target is changed to a prevalence target for all serovars there may be a better relationship between the occurrence of flock infection and the prevalence of Salmonella in carcasses. Advice is given on possible changes in both the PHC and the FSC under such low Salmonella flock prevalence scenario. A series of recommendations are made on data needs in case future related analysis would be needed.

Published
2010

48. Pathogenic Yersinia and Listeria monocytogenes in organic pork production

Author

Laukkanen, R., Ortiz, P., Hellström, S., Siekkinen, K.-M., Ranta, J., Nuotio, L., Maijala, R., Korkeala, H., Laukkanen, R., Ortiz, P., Hellström, S., Siekkinen, K.-M., Ranta, J., Nuotio, L., Maijala, R., and Korkeala, H.

Abstract

The goal of this study is to determine the prevalence of pathogenic Yersinia and Listeria monocytogenes in organic pork production and assess risks in different steps of the pork production chain.

Published
2005

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