Neighbours or Enemies? Competing Variants Causing Differences in Transitional Dialects

The aim of this study is to show how clusteranalysis can shed light on very complexvariation in a transitional dialect zone ineastern Finland. In the course of history thisarea has been on the border between Sweden andRussia and the population has clearly been oftwo kinds: the Savo people and the Karelians.It is a well-known fact that there is variationamong these dialects, but the spread and extentof the variation has not been demonstrated previously.The idiolects of the area were studied in thelight of ten phonological and morphologicalfeatures. The material consisted of recordingsof 198 idiolects, totalling around 195 hoursand representing 19 parishes. The variation wasanalysed using hierarchical cluster analysis.While the analysis showed the extent of thevariation between idiolects and parishes, italso demonstrated how the effects of the oldparishes, borders and settlements are stillvisible in the dialects. On the parish level,the data formed clear clusters that correspondwith the main dialects in the area and itssurroundings. On the idiolect level, however,the speakers from the surrounding areas formedfairly homogenous clusters but the idiolectsfrom the Savonlinna area were spread acrossalmost all clusters.     

Preparation of W1/O/W2 emulsions and droplet size distribution measurements by pulsed‐field gradient nuclear magnetic resonance (PFG‐NMR) technique

Multiple emulsions of W₁/O/W₂ type are of major interest in life sciences, offering possibilities for the encapsulation of water‐soluble active agents. In food science, they are also applied for fat reduction. The droplet size distributions of the inner and outer emulsions are of main importance as they influence the rheological and sensorial properties, the release kinetics, as well as the structural and microbial stability. However, the determination of the inner and outer droplet size distributions is a major challenge, as conventional measurement techniques cannot be applied. Pulsed‐field gradient nuclear magnetic resonance (PFG‐NMR) is well known as a non‐destructive tool for droplet size determination, especially in simple emulsions. In this work, double emulsions of the W₁/O/W₂ type were prepared with polyglycerol‐polyricinoleate (PGPR) and polyoxyethylen‐20‐sorbitan monolaurate (Tween 20) as emulsifiers by means of rotor‐stator emulsification machines. PFG‐NMR was applied for measurements of the inner phase (W₁) droplet size distribution as well as for the characterization of the O phase. The W₁ values were compared with results from laser light diffraction of simple emulsions (W₁/O type) and were found to be consistent within the experimental errors, if restricted diffusion in the outer water phase (W₂) and additional effects are considered.     

Human IPSC-Derived Model to Study Myelin Disruption

Myelin is of vital importance to the central nervous system and its disruption is related to a large number of both neurodevelopmental and neurodegenerative diseases. The differences observed between human and rodent oligodendrocytes make animals inadequate for modeling these diseases. Although developing human in vitro models for oligodendrocytes and myelinated axons has been a great challenge, 3D cell cultures derived from iPSC are now available and able to partially reproduce the myelination process. We have previously developed a human iPSC-derived 3D brain organoid model (also called BrainSpheres) that contains a high percentage of myelinated axons and is highly reproducible. Here, we have further refined this technology by applying multiple readouts to study myelination disruption. Myelin was assessed by quantifying immunostaining/confocal microscopy of co-localized myelin basic protein (MBP) with neurofilament proteins as well as proteolipid protein 1 (PLP1). Levels of PLP1 were also assessed by Western blot. We identified compounds capable of inducing developmental neurotoxicity by disrupting myelin in a systematic review to evaluate the relevance of our BrainSphere model for the study of the myelination/demyelination processes. Results demonstrated that the positive reference compound (cuprizone) and two of the three potential myelin disruptors tested (Bisphenol A, Tris(1,3-dichloro-2-propyl) phosphate, but not methyl mercury) decreased myelination, while ibuprofen (negative control) had no effect. Here, we define a methodology that allows quantification of myelin disruption and provides reference compounds for chemical-induced myelin disruption.     

Arsenic speciation and distribution in an arsenic hyperaccumulating plant

Arsenic-contaminated soil is one of the major arsenic sources for drinking water. Phytoremediation, an emerging, plant-based technology for the removal of toxic contaminants from soil and water, has been receiving renewed attention. Although a number of plants have been identified as hyperaccumulators for the phytoextraction of a variety of metals, and some have been used in field applications, no hyperaccumulator for arsenic had been previously reported until the recent discovery of Brake fern (Pteris vittata), which can hyperaccumulate arsenic from soils. This finding may open a door for phytoremediation of arsenic-contaminated soils. Speciation and distribution of arsenic in the plant can provide important information helpful to understanding the mechanisms for arsenic accumulation, translocation, and transformation. In this study, plant samples after 20 weeks of growth in an arsenic-contaminated soil were used for arsenic speciation and distribution study. A mixture of methanol/water (1:1) was used to extract arsenic compounds from the plant tissue. Recoveries of 85 to 100% were obtained for most parts of the plant (rhizomes, fiddle heads, young fronds and old fronds) except for roots, for which extraction efficiency was approximately 60%. The results of this study demonstrate the ability of Brake fern as an arsenic hyperaccumulator. It transfers arsenic rapidly from soil to aboveground biomass with only minimal arsenic concentration in the roots. The arsenic is found to be predominantly as inorganic species; and it was hypothesized that the plant uptakes arsenic as arsenate [As(V)I and arsenate was converted to arsenite [As(III)] within the plant. The mechanisms of arsenic uptake, translocation, and transformation by this plant are not known and are the objectives of our on-going research.     

A Method for Viability Testing of Pectobacterium carotovorum in Postharvest Processing by Means of Flow Cytometry

Rapid detection methods such as flow cytometric analysis enable the detection of phytopathogenic and human pathogenic bacteria and hence, the monitoring and optimisation of inactivation processes. The aim of this study was to develop a method for viability testing of the soft-rot-causing Gram-negative bacteria Pectobacterium carotovorum spp. carotovorum by flow cytometry based on a combination of carboxyfluorescein diacetate (cFDA) and propidium iodide. Due to the cell membrane composition of Gram-negative bacteria, the uptake ability of cFDA indicating esterase activity is limited. In this study, an adequate dye concentration (0.83 mM cFDA) and incubation time (45 min) at 37 °C for bacteria suspensions with a theoretical optical density (OD₆₂₀) above 5 were defined, which enables a reliable determination of esterase activity of Gram-negative bacteria. This developed staining procedure was successfully applied to monitor inactivation treatments. It was shown that the test bacteria (Escherichia coli and P. carotovorum) lose their culturability due to the applied thermal treatment, but physiological activities were still detectable using flow cytometry. The remaining physiological activities may still result in product spoilage and may also cause human diseases. For example, E. coli cells still showed esterase activity after 10 min of thermal treatment at 70 °C. The degree of bacterial damage due to the inactivation processes is highly dependent on treatment parameters as well as on treated bacteria.     

A critical discussion of models for conceptualizing the economic logic of construction

The construction industry has developed a certain economic logic that reflects the way in which tasks, parts, and units are organized and related to each other in order to create economic benefits in the construction process. Four different models in the literature portray this logic. We examine how they complement and constitute alternatives to understandings of the economic logic of the construction industry. Along with transaction cost economics, we have identified three more empirically based models: a project-oriented model, a supply-chain-oriented model, and a network-oriented model. Associated with different streams of research, these models are discussed in terms of the typical problems and key interdependencies in the construction process they address, and the type of solutions they suggest, including organizing principles for how construction parties should relate to each other. The findings show how examining different models provides a comprehensive, albeit non-exhaustive overview and an explanation of why the construction process is organized in the way it is. There is a need for increased awareness of the utilization of models (or combinations of models) and the models must also be seen as arguments in a broader discussion of how the construction process could or should function.