Vanhasuomalaisuutta uusintamassa : Kokoomuksen ja SDP:n ryhmäpuheenvuorot EU:n ulko- ja turvallisuuspolitiikasta 1995-2000

Abstract: Reproducing the Old Finn mentality

Sosialidemokraattien kertomukset : SDP:n periaateohjelmakeskustelu 1995-1999 kertomusanalyysin valossa

Abstract: The stories of the Finnish Social Democrats: narrative analysis of the Social Democrats' main manifestos, 1995-1999

Kohti Korpilammen konsensusta – SDP:n, SAK:n ja elinkeinoelämän muuttuvat suhteet ja talouspoliittinen käänne 1975–1977

Tutkielmani aiheena on suomalaisen konsensusyhteiskunnan muotoutuminen vuosina 1975–77. Tutkin Suomen sosialidemokraattisen puolueen, Suomen Ammattiliittojen Keskusjärjestön ja suomalaista elinkeinoelämää (Elinkeinoelämän valtuuskunta ja Teollisuuden keskusliitto) sekä työnantajia (Suomen työnantajien keskusliitto) edustaneiden järjestöjen välisten suhteiden muutosta. Keskiössä on edellä mainittujen järjestöjen talous- ja yhteiskuntapoliittisen ajattelun ja toiminnan kehittyminen ja vuorovaikutus aikana, jolloin Suomea kohtasi ensimmäinen merkittävä talouslama sitten toisen maailmansodan. Tutkimukseni perustuu arkistolähteiden erittelyyn ja vertailuun. Täydennän tätä eräillä valtio-opillisilla ja sosiologisilla teorioilla. Tutkielmani primääriaineistona toimivat SDP:n, SAK:n ja elinkeinoelämän johdon jälkeensä jättämä arkistomateriaali. Tutkielmassani tulen siihen päätelmään, että elinkeinoelämän aktiivinen vaikutustyö, yhteyksien avaaminen SDP:n ylimpään johtoon, SDP:n johdon talouspoliittisen ajattelun muuttuminen ja vaikeat taloudelliset olosuhteet yhdessä vaikuttivat niin sanotun ”Korpilammen konsensuksen” syntyyn. Konsensuksen keskiöön nostettiin ajatus teollisuuden kansainvälisen kilpailukyvyn ensisijaisuudesta muihin politiikkatavoitteisiin nähden. Prosessissa reaktiivisempi rooli jäi SAK:lle ja talouspoliittisesti keynesiläisille. Tutkielmani perusteella konsensus herätti myös vastustusta. Laajassa kuvassa konsensus silti läpäisi suomalaisen yhteiskunnan eliitit. Radikaalien talouspoliittisten tavoitteiden työntövoima sen sijaan hiipu

A new three phase method (SDP method) for the multi-objective vehicle routing problem with simultaneous delvery and pickup (VRPSDP)

Transportation service operators are witnessing a growing demand for bi-directional movement of goods. Given this, the following thesis considers an extension to the vehicle routing problem (VRP) known as the delivery and pickup transportation problem (DPP), where delivery and pickup demands may occupy the same route. The problem is formulated here as the vehicle routing problem with simultaneous delivery and pickup (VRPSDP), which requires the concurrent service of the demands at the customer location. This formulation provides the greatest opportunity for cost savings for both the service provider and recipient. The aims of this research are to propose a new theoretical design to solve the multi-objective VRPSDP, provide software support for the suggested design and validate the method through a set of experiments. A new real-life based multi-objective VRPSDP is studied here, which requires the minimisation of the often conflicting objectives: operated vehicle fleet size, total routing distance and the maximum variation between route distances (workload variation). The former two objectives are commonly encountered in the domain and the latter is introduced here because it is essential for real-life routing problems. The VRPSDP is defined as a hard combinatorial optimisation problem, therefore an approximation method, Simultaneous Delivery and Pickup method (SDPmethod) is proposed to solve it. The SDPmethod consists of three phases. The first phase constructs a set of diverse partial solutions, where one is expected to form part of the near-optimal solution. The second phase determines assignment possibilities for each sub-problem. The third phase solves the sub-problems using a parallel genetic algorithm. The suggested genetic algorithm is improved by the introduction of a set of tools: genetic operator switching mechanism via diversity thresholds, accuracy analysis tool and a new fitness evaluation mechanism. This three phase method is proposed to address the shortcoming that exists in the domain, where an initial solution is built only then to be completely dismantled and redesigned in the optimisation phase. In addition, a new routing heuristic, RouteAlg, is proposed to solve the VRPSDP sub-problem, the travelling salesman problem with simultaneous delivery and pickup (TSPSDP). The experimental studies are conducted using the well known benchmark Salhi and Nagy (1999) test problems, where the SDPmethod and RouteAlg solutions are compared with the prominent works in the VRPSDP domain. The SDPmethod has demonstrated to be an effective method for solving the multi-objective VRPSDP and the RouteAlg for the TSPSDP.

Optimal release strategies for biological control agents: an application of stochastic dynamic programming to population management

1. Establishing biological control agents in the field is a major step in any classical biocontrol programme, yet there are few general guidelines to help the practitioner decide what factors might enhance the establishment of such agents. 2. A stochastic dynamic programming (SDP) approach, linked to a metapopulation model, was used to find optimal release strategies (number and size of releases), given constraints on time and the number of biocontrol agents available. By modelling within a decision-making framework we derived rules of thumb that will enable biocontrol workers to choose between management options, depending on the current state of the system. 3. When there are few well-established sites, making a few large releases is the optimal strategy. For other states of the system, the optimal strategy ranges from a few large releases, through a mixed strategy (a variety of release sizes), to many small releases, as the probability of establishment of smaller inocula increases. 4. Given that the probability of establishment is rarely a known entity, we also strongly recommend a mixed strategy in the early stages of a release programme, to accelerate learning and improve the chances of finding the optimal approach.

The use of stochastic dynamic programming in optimal landscape reconstruction for metapopulations

A decision theory framework can be a powerful technique to derive optimal management decisions for endangered species. We built a spatially realistic stochastic metapopulation model for the Mount Lofty Ranges Southern Emu-wren (Stipiturus malachurus intermedius), a critically endangered Australian bird. Using diserete-time Markov,chains to describe the dynamics of a metapopulation and stochastic dynamic programming (SDP) to find optimal solutions, we evaluated the following different management decisions: enlarging existing patches, linking patches via corridors, and creating a new patch. This is the first application of SDP to optimal landscape reconstruction and one of the few times that landscape reconstruction dynamics have been integrated with population dynamics. SDP is a powerful tool that has advantages over standard Monte Carlo simulation methods because it can give the exact optimal strategy for every landscape configuration (combination of patch areas and presence of corridors) and pattern of metapopulation occupancy, as well as a trajectory of strategies. It is useful when a sequence of management actions can be performed over a given time horizon, as is the case for many endangered species recovery programs, where only fixed amounts of resources are available in each time step. However, it is generally limited by computational constraints to rather small networks of patches. The model shows that optimal metapopulation, management decisions depend greatly on the current state of the metapopulation,. and there is no strategy that is universally the best. The extinction probability over 30 yr for the optimal state-dependent management actions is 50-80% better than no management, whereas the best fixed state-independent sets of strategies are only 30% better than no management. This highlights the advantages of using a decision theory tool to investigate conservation strategies for metapopulations. It is clear from these results that the sequence of management actions is critical, and this can only be effectively derived from stochastic dynamic programming. The model illustrates the underlying difficulty in determining simple rules of thumb for the sequence of management actions for a metapopulation. This use of a decision theory framework extends the capacity of population viability analysis (PVA) to manage threatened species.

Efeito imediato da técnica músculo energia do esternocleidomastóideo com ponto gatilho latente na sensibilidade dolorosa à pressão e nas amplitudes cervicais

Introdução: Os pontos gatilho (PG) do esternocleidomastóideo (ECM) podem ser a causa de dor na face e no crânio. A técnica músculo-energia (TME) pode ser utilizada na presença de PG. Objectivo: Verificar qual o efeito imediato da TME, aplicada no ECM, na sensibilidade dolorosa à pressão (SDP) do PG do ECM e nas amplitudes cervicais em comparação com uma técnica placebo. Metodologia: Uma amostra voluntária de 52 indivíduos foi dividida aleatoriamente por dois grupos. Inicialmente foi medida a SDP e as amplitudes dos movimentos activos da coluna cervical. Após a aplicação da TME, com 20% da força máxima, e da técnica placebo, nos respectivos grupos, a SDP e as amplitudes cervicais foram reavaliadas. Resultados: Não existiram diferenças estatísticas significativas para afirmar que os dados recolhidos antes e depois da aplicação da TME eram significativamente diferentes. Conclusão: Os efeitos imediatos da TME, neste estudo, não foram significativos. No entanto, a bibliografia aponta noutro sentido, tornando-se importante perceber de que forma podemos melhorar a aplicação da TME, de forma a optimizar os seus efeitos.

Genetic analysis of phenoxyalkanoic acid degradation in Sphingomonas herbicidovorans MH.

Phenoxyalkanoic acid degradation is well studied in Beta- and Gammaproteobacteria, but the genetic background has not been elucidated so far in Alphaproteobacteria. We report the isolation of several genes involved in dichlor- and mecoprop degradation from the alphaproteobacterium Sphingomonas herbicidovorans MH and propose that the degradation proceeds analogously to that previously reported for 2,4-dichlorophenoxyacetic acid (2,4-D). Two genes for alpha-ketoglutarate-dependent dioxygenases, sdpA(MH) and rdpA(MH), were found, both of which were adjacent to sequences with potential insertion elements. Furthermore, a gene for a dichlorophenol hydroxylase (tfdB), a putative regulatory gene (cadR), two genes for dichlorocatechol 1,2-dioxygenases (dccA(I/II)), two for dienelactone hydrolases (dccD(I/II)), part of a gene for maleylacetate reductase (dccE), and one gene for a potential phenoxyalkanoic acid permease were isolated. In contrast to other 2,4-D degraders, the sdp, rdp, and dcc genes were scattered over the genome and their expression was not tightly regulated. No coherent pattern was derived on the possible origin of the sdp, rdp, and dcc pathway genes. rdpA(MH) was 99% identical to rdpA(MC1), an (R)-dichlorprop/alpha-ketoglutarate dioxygenase from Delftia acidovorans MC1, which is evidence for a recent gene exchange between Alpha- and Betaproteobacteria. Conversely, DccA(I) and DccA(II) did not group within the known chlorocatechol 1,2-dioxygenases, but formed a separate branch in clustering analysis. This suggests a different reservoir and reduced transfer for the genes of the modified ortho-cleavage pathway in Alphaproteobacteria compared with the ones in Beta- and Gammaproteobacteria.

Pääjohtaja K.-A. Fagerholm 19/6 1963

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Generaldirektör K.-A. Fagerholm 19.6.1963 Härstädes

Kirje