Säilörehut maistuvat hevosillekin

Säilörehu on maittava ja pölyttömyytensä takia hyvä vaihtoehto myös hevosten ruokintaan. Esikuivatun säilörehun käyttö hevosten rehuna on yleistynyt viime vuosina, mihin on vaikuttanut rehun varastoinnin, kuljetuksen ja käsittelyn helpottuminen pyöröpaalausmenetelmän kehittymisen myötä. Säilöntäaineen käytöstä on esikuivatun pyöröpaalisäilörehun teossa usein luovuttu, vaikka säilöntäaine turvaisi rehun laadun.vo

Dissemination of GNSS RTK using MQTT

Precise positioning using Global Navigation Satellite System (GNSS) requires the GNSS receivers to compensate for the errors caused by distortion in the GNSS signal's path due to atmospheric conditions. The Real Time Kinematics (RTK) technique uses terrestrial reference stations that continuously monitor the quality of GNSS signals and provide information that can be be used by the GNSS receivers in the vicinity of a reference station to compensate for the errors. In this paper, we explore the performance of disseminating the RTK correction information using the Message Queuing Telemetry Transport (MQTT) protocol over 5G. We also compare the indirection costs (latency overheads) of using MQTT over 5G to Ethernet and Wi-Fi, our baselines for high-speed and wireless connectivity respectively, and we highlight the impact of 5G power savings when disseminating GNSS RTK using MQTT.Peer reviewe

BRAF inhibitor treatment is feasible in the oldest-old advanced melanoma patients

Although new compounds have improved the treatment landscape of metastatic melanoma, very limited data exist on the efficacy and safety of treating older patients with novel agents. Here, we provide results of BRAF (BRAFi) +/- MEK (MEKi) inhibitor treatment in patients over 75 years (oldest-old patients) with metastatic melanoma. Between 2011 and 2020, 34 consecutive patients with metastatic melanoma over 75 years of age (range 75-89) were treated with BRAFi +/- MEKi at the Comprehensive Cancer Center of Helsinki University Hospital. Data on clinical and histopathological features, toxicity, response rate (RR), progression-free survival (PFS) and overall survival (OS) were collected. Patients were treated with BRAFi (n = 22) or BRAFi in combination with MEK inhibitor (MEKi) (n = 12). Grade 1-2 adverse events occurred in 68% of the patients, 32% had grade 3 adverse effects, dose reductions were made for 41% of patients and 29% terminated treatment due to toxicity. Overall, the RR was 62%. Complete responses were achieved in 27% of the patients, and 35% had partial responses. The median PFS was 8 months (range 0-57), and the median OS was 15 months (range 0-71). Tailored BRAFi +/- MEKi treatment for older patients is feasible. Adverse effects occur frequently but are manageable by dose adjustment. The occurrence of toxicity of monotherapy was similar to that of combination therapy. The RR and median OS from our retrospective study are comparable with those reported in clinical trials and combination therapy produced somewhat more and longer-lasting responses. Hence, it seems that older patients may benefit from BRAFi treatment.Peer reviewe

Stability condition for the drive bunch in a collinear wakefield accelerator

The beam breakup instability of the drive bunch in the structure-based collinear wakefield accel- erator is considered and a stabilizing method is proposed. The method includes using the specially designed beam focusing channel, applying the energy chirp along the electron bunch, and keeping energy chirp constant during the drive bunch deceleration. A stability condition is derived that defines the limit on the accelerating field for the witness bunch.Comment: 10 pages, 6 figure

Computational deconvolution to estimate cell type-specific gene expression from bulk data

Computational deconvolution is a time and cost-efficient approach to obtain cell type-specific information from bulk gene expression of heterogeneous tissues like blood. Deconvolution can aim to either estimate cell type proportions or abundances in samples, or estimate how strongly each present cell type expresses different genes, or both tasks simultaneously. Among the two separate goals, the estimation of cell type proportions/abundances is widely studied, but less attention has been paid on defining the cell type-specific expression profiles. Here, we address this gap by introducing a novel method Rodeo and empirically evaluating it and the other available tools from multiple perspectives utilizing diverse datasets.</p

Estimating cell type-specific differential expression using deconvolution

When differentially expressed genes are detected from samples containing different types of cells, only a very coarse overview without any cell type-specific information is obtained. Although several computational methods have been published to estimate cell type-specific differentially expressed genes from bulk samples, their performance has not been evaluated outside the original publications. Here, we compare accuracies of nine of these methods, test their sensitivity to various factors often present in real studies and provide practical guidelines for end users about when reliable results can be expected and when not. Our results show that TOAST, CARseq, CellDMC and TCA are accurate methods with their own strengths and weaknesses. Notably, methods designed to detect cell type-specific differential methylation were comparable to those designed for gene expression, and both types outperformed methods originally designed for other tasks. The most important factors affecting the accuracy of the estimated cell type-specific differentially expressed genes are (i) abundance of the cell type (rare cell types are harder to analyze) and (ii) individual heterogeneity in the cell type-specific expression profiles (stable cell types are easier to analyze)</p

Challenges in Arctic Navigation and Geospatial Data : User Perspective and Solutions Roadmap

Navigation and location-based applications, including business such as transport, tourism, and mining, in Arctic areas face a variety of specific challenges. In fact, these challenges concern not only the Arctic Circle but certain other areas as well, such as the Gulf of Bothnia. This report provides a review on these challengs which concern a variety of technologies ranging from satellite navigation to telecommunications and mapping. In order to find out end-users' views on the significance of Arctic challenges, an online survey was conducted. The 77 respondents representing all Arctic countries, the majority being from Finland, highlighted the challenges in telecommunications as well as accuracy concerns for emerging applications dealing with precise navigation. This report provides a review of possible technologies for addressing the Arctic challenges, based on which a road map for solving them is developed. The road map also uses the results of expert working groups from the Challenges in Arctic Navigation workshop arranged in April 2018 in Olos, Muonio, Finland. This report was produced within the ARKKI project. It was funded by the Finnish Ministry of Foreign Affairs under the Baltic Sea, Barents and Arctic cooperation programme, and implemented by the Finnish Geospatial Research Institute in collaboration with the Finnish Ministry of Transport and Communications

Airborne dual-wavelength waveform LiDAR improves species classification accuracy of boreal broadleaved and coniferous trees

Funding Information: This study was conducted on course FOR-254 ‘Advanced Forest Inventory and Management Project’ at the University of Helsinki. Plots IM and OG were measured by students and assistants on course FOR110B with the kind permission of Prof. Pauline Stenberg. Dr. Pekka Kaitaniemi provided phenological observations during LiDAR campaigns, and support by Dr. Antti Uotila was crucial in finding aspen, alder and larch samples in Hyytiälä. The LiDAR and field data in 2013 were collected and processed with funding from the Academy of Finland and Metsämiesten säätiö. Other work by made possible by the University of Helsinki. Publisher Copyright: © 2022, Finnish Society of Forest Science. All rights reserved.Tree species identification constitutes a bottleneck in remote sensing applications. Waveform LiDAR has been shown to offer potential over discrete-return observations, and we assessed if the combination of two-wavelength waveform data can lead to further improvements. A total of 2532 trees representing seven living and dead conifer and deciduous species classes found in Hyytiälä forests in southern Finland were included in the experiments. LiDAR data was acquired by two single-wavelength sensors. The 1064-nm and 1550-nm data were radiometrically corrected to enable range-normalization using the radar equation. Pulses were traced through the canopy, and by applying 3D crown models, the return waveforms were assigned to individual trees. Crown models and a terrain model enabled a further split of the waveforms to strata representing the crown, understory and ground segments. Different geometric and radiometric waveform attributes were extracted per return pulse and aggregated to tree-level mean and standard deviation features. We analyzed the effect of tree size on the features, the correlation between features and the between-species differences of the waveform features. Feature importance for species classification was derived using F-test and the Random Forest algorithm. Classification tests showed significant improvement in overall accuracy (74→83% with 7 classes, 88→91% with 4 classes) when the 1064-nm and 1550-nm features were merged. Most features were not invariant to tree size, and the dependencies differed between species and LiDAR wavelength. The differences were likely driven by factors such as bark reflectance, height growth induced structural changes near the treetop as well as foliage density in old trees.Peer reviewe

Bacteriophages fEV-1 and fD1 Infect Yersinia pestis

Bacteriophages vB_YpeM_fEV-1 (fEV-1) and vB_YpeM_fD1 (fD1) were isolated from incoming sewage water samples in Turku, Finland, using Yersinia pestis strains EV76 and KIM D27 as enrichment hosts, respectively. Genomic analysis and transmission electron microscopy established that fEV-1 is a novel type of dwarf myovirus, while fD1 is a T4-like myovirus. The genome sizes are 38 and 167 kb, respectively. To date, the morphology and genome sequences of some dwarf myoviruses have been described; however, a proteome characterization such as the one presented here, has currently been lacking for this group of viruses. Notably, fEV-1 is the first dwarf myovirus described for Y. pestis. The host range of fEV-1 was restricted strictly to Y. pestis strains, while that of fD1 also included other members of Enterobacterales such as Escherichia coli and Yersinia pseudotuberculosis. In this study, we present the life cycles, genomes, and proteomes of two Yersinia myoviruses, fEV-1 and fD1

Bacteriophages fEV-1 and fD1 Infect Yersinia pestis

Bacteriophages vB_YpeM_fEV-1 (fEV-1) and vB_YpeM_fD1 (fD1) were isolated from incoming sewage water samples in Turku, Finland, using Yersinia pestis strains EV76 and KIM D27 as enrichment hosts, respectively. Genomic analysis and transmission electron microscopy established that fEV-1 is a novel type of dwarf myovirus, while fD1 is a T4-like myovirus. The genome sizes are 38 and 167 kb, respectively. To date, the morphology and genome sequences of some dwarf myoviruses have been described; however, a proteome characterization such as the one presented here, has currently been lacking for this group of viruses. Notably, fEV-1 is the first dwarf myovirus described for Y. pestis. The host range of fEV-1 was restricted strictly to Y. pestis strains, while that of fD1 also included other members of Enterobacterales such as Escherichia coli and Yersinia pseudotuberculosis. In this study, we present the life cycles, genomes, and proteomes of two Yersinia myoviruses, fEV-1 and fD1