cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4955982
title: Kinetics of selected blood biomarkers of articular cartilage in response to stress test with modulated ambulatory load

description: The goal of this work was to determine the suitability of selected blood biomarkers of articular cartilage as mechanosensitive markers and to investigate the dose-response relationship between ambulatory load magnitude and marker kinetics in response to load. Serum samples were collected from 24 healthy volunteers before (0) and at three time points (1=0min; 2=30min; 3=60min) after a 30-minute walking stress test performed on a treadmill on three test days. In each experimental session, one of three ambulatory loads was applied: 100% body weight (BW); 80%BW; 120%BW. Serum concentrations of COMP, MMP-3, MMP-9, ADAMTS-4, PRG-4, CPII, C2C and IL-6 were assessed using commercial enzyme-linked immunosorbent assays. ADAMTS - A disintegrin and metalloproteinase with thrombospondin motifs C2C - COL2−3/4Clong mono epitope COMP - cartilage oligomeric matrix protein CPII - C-propeptide is removed from the procollagen extracellularly and directly reflects the rate of type II procollagen synthesis IL - interleukin MMP - matrix metalloproteinasis PRG - proteoglycan The file contains the raw concentrations for each marker, participant, time point and condition.
description: Raw data as text files can be obtained upon request from the author.
DOI: 10.5281/zenodo.4911272
title: Kinetics of selected blood biomarkers of articular cartilage in response to stress test with modulated ambulatory load

description: The goal of this work was to determine the suitability of selected blood biomarkers of articular cartilage as mechanosensitive markers and to investigate the dose-response relationship between ambulatory load magnitude and marker kinetics in response to load. Serum samples were collected from 24 healthy volunteers before (0) and at three time points (1=0min; 2=30min; 3=60min) after a 30-minute walking stress test performed on a treadmill on three test days. In each experimental session, one of three ambulatory loads was applied: 100% body weight (BW); 80%BW; 120%BW. Serum concentrations of COMP, MMP-3, MMP-9, ADAMTS-4, PRG-4, CPII, C2C and IL-6 were assessed using commercial enzyme-linked immunosorbent assays. ADAMTS - A disintegrin and metalloproteinase with thrombospondin motifs C2C - COL2−3/4Clong mono epitope COMP - cartilage oligomeric matrix protein CPII - C-propeptide is removed from the procollagen extracellularly and directly reflects the rate of type II procollagen synthesis IL - interleukin MMP - matrix metalloproteinasis PRG - proteoglycan The file contains the raw concentrations for each marker, participant, time point and condition.
description: Raw data as text files can be obtained upon request from the author.
DOI: 10.6084/m9.figshare.13076831.v1
title: Intraspecific light partitioning benefits a globally invasive plant more from under eutrophica conditions

description: We use a nitrogen (N)-enrichment field experiment with one of the world’s most invasive C4 plants, <i>Spartina alterniflora</i>, to evaluate whether intraspecific light partitioning reduces light competition under increased nutrient availability, thereby increasing its invasiveness. We evaluated intraspecific light partitioning by measuring height differences (CV) and the strength of intraspecific competition by calculating the relative neighbor effect, monitored height niches and plant performances over two growing seasons. <br>
DOI: 10.6084/m9.figshare.13076831
title: Light partitioning favours a plant invader in nitrogen-enriched ecosystems

description: We use a nitrogen (N)-enrichment field experiment with one of the world’s most invasive C4 plants, <i>Spartina alterniflora</i>, to evaluate whether intraspecific light partitioning reduces light competition under increased nutrient availability, thereby increasing its invasiveness. We evaluated intraspecific light partitioning by measuring height differences (CV) and the strength of intraspecific competition by calculating the relative neighbor effect, monitored height niches and plant performances over two growing seasons. <br>
DOI: 10.6084/m9.figshare.13076831.v3
title: Light partitioning favours a plant invader in nitrogen-enriched ecosystems

description: We use a nitrogen (N)-enrichment field experiment with one of the world’s most invasive C4 plants, <i>Spartina alterniflora</i>, to evaluate whether intraspecific light partitioning reduces light competition under increased nutrient availability, thereby increasing its invasiveness. We evaluated intraspecific light partitioning by measuring height differences (CV) and the strength of intraspecific competition by calculating the relative neighbor effect, monitored height niches and plant performances over two growing seasons. <br>
DOI: 10.6084/m9.figshare.13076831.v2
title: Light partitioning favours a plant invader in nitrogen-enriched ecosystems

description: We use a nitrogen (N)-enrichment field experiment with one of the world’s most invasive C4 plants, <i>Spartina alterniflora</i>, to evaluate whether intraspecific light partitioning reduces light competition under increased nutrient availability, thereby increasing its invasiveness. We evaluated intraspecific light partitioning by measuring height differences (CV) and the strength of intraspecific competition by calculating the relative neighbor effect, monitored height niches and plant performances over two growing seasons. <br>
DOI: 10.48370/ofd/d4gyf6/uqsexr
title: m-1423.jpg

description: :unav
DOI: 10.48370/ofd/d4gyf6/kyrnxr
title: FMW_Daedalea_quercina_L_Pers_F_1423_5.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/d4gyf6/4too8o
title: FMW_Daedalea_quercina_L_Pers_F_1423_4.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/d4gyf6/evtkr3
title: FMW_Daedalea_quercina_L_Pers_F_1423_1.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/d4gyf6/xknjzb
title: FMW_Daedalea_quercina_L_Pers_F_1423_3.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/d4gyf6/j4rlge
title: FMW_Daedalea_quercina_L_Pers_F_1423_2.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/d4gyf6/ad96sd
title: 1423.S3Dm

description: :unav
DOI: 10.48370/ofd/d4gyf6
title: Gmatwek dębowy (Daedalea quercina (L.) Pers.), 1423

description: Fungarium Makromycetes
DOI: 10.14457/tu.the.2020.91
title: Data analysis, optimisation and simulation of an energy-efficient path selection for an unmanned aerial vehicle

description: Quadcopters have a wide range of applications spread among various industries. With improvements to its architecture and technology, researchers are expanding their studies in multiple criteria to enhance the use of drones to a much more comprehensive range of industrial applications such as drone delivery and surveillance. Even though drones bring out many advantages, several challenges affect the practical use of drones for delivery. One such major challenge is the limited battery lifespan that significantly impacts the delivery of goods on time. Since long-lasting batteries for UAVs are still under research, the project proposes an optimised flight path planning algorithm using Genetic algorithm by considering the available battery capacity for cost-effective delivery. Initially, the battery energy consumption was determined experimentally and the data collected was used for mathematical construction of route optimisation. Optimised paths were visualised using simulation.
DOI: 10.14457/tu.the.2020.92
title: Channel allocation policy for distributed wireless networks: derivation and analysis of optimal interference

description: Distributed wireless networks with smart (independent and rational) users are getting popular and researchers are studying decentralized equilibrium solutions to analyze and predict the converged solution of such networks. Game theoretic solutions like Nash Equilibrium (NE) is a promising means for resource (channel) allocation in such networks. In our work we study and analyze the distribution of the different network metrics like link distance, interference from/to other links, signal to interference plus noise ratio (SINR) and infer the characteristics of NE at high total throughput. It was found that at NE^{Good} (with high total throughput) communication links still have significant amount of interference and adding an interference-received term with an optimal weight (
DOI: 10.14457/tu.the.2020.93
title: Machine learning techniques for optimization problems

description: Motivation-Due to the availability of Industry 4.0 technology, the application of Big Data analytics to automated systems and pure optimization problems is possible. Problem statement-The majority of studies in optimization fields mainly focused on optimizing the objectives despite the long solving time. Although solutions from ANN can be used immediately as final results, the overall accuracy after training state is still limited, so in the context of this research, one more step will be conducted by setting outputs from ANN as initial solutions to solve those complex optimization problems easier and faster. Purpose-This study aims to find the solutions of each optimization problem mentioned in introduction within a shorter solving time by applying ANN to get the initial solution for them. Design/Methodology-The combination between Machine Learning technique for Optimization will be applied to those complicated problems, namely, air cargo packing problem, vehicle routing problem (VRP), and dynamic path planning. Result-The successfulness of applying ANN to predict the solutions and set them as initial ones gives the shorter time when solving the optimization models. Originality-The contribution of this research is to provide a new approach and encourage a new research direction in solving traditional operation research and can be considered using in automated system with some machine learning techniques.
DOI: 10.14457/cu.the.1983.35
title: สหรัฐอเมริกากับนโยบายเศรษฐกิจไทย : 1960-1970
DOI: 10.14457/cu.the.1984.27
title: ระบบข้อมูลที่ดินสำหรับการออกแบบเบื้องต้นในโครงการปฏิรูปที่ดิน
DOI: 10.14457/cu.the.2003.1218
title: Family health volunteer's participation for aedes aegypti larvae control in Muang District, Nakhon Si Thammarat Province, Thailand

description: The main objective of this quasi-experimental research was to assess the effectiveness of a health education program. Community participation concepts were applied to design the program activities. The studied sample was 208 family health volunteers in two villages in Muang District, Nakhon Si Thammarat Province. One-hundred and nine of the samples were assigned to the experimental group while ninety-nine, were assigned to the comparison group. The experimental group participated in the program of health education activities for 8 weeks while the comparison group did not. The tool for data collection was a structured questionnaire. The structured questionnaire was assessed on DHF knowledge and prevention, perceived susceptibility to DHF, perceived severity of DHF, perceived cost- benefits on controlling the Aedesa egypti larvae, Aedes aegypti larvae control practices and Aedes aegypti larva survey form were used to collect data both before and after the Health Education Program experimentation. Statistical methods included percentage, arithmetic mean, standard deviation, Student’ s t-test, paired samples t-test and Z-test were employed to test the research hypotheses.The results of this study revealed that after the experimentation, the experimental group had gained significantly higher when compared to their pre-test score on knowledge about Dengue Hemorrhagic Fever. They also had a better-perceived susceptibility to and severity of DHF and a better appreciation of the cost-benefits on controlling the Aedes aegypti larvae. In addition, the post-test scores of the experimental group were significantly greater than the comparison group (p &lt; 0.001). It was also found that the House Index, Container Index and Breteau Index of Aedes aegypti larvae decreased after the experimentation, the experimental group were significantly lower than those of the comparison group (p &lt; 0.001). The results of the experimentation suggest that this health education program applying family health volunteer's participation concepts could be successfully applied to other similar communities.
DOI: 10.14457/cu.the.1984.28
title: ความคิดเห็นของผู้บริหารและอาจารย์เกี่ยวกับการพัฒนาคณาจารย์ ในสถาบันอุดมศึกษาเอกชน
DOI: 10.5880/crc1211db.41
title: UAS-based micro-scale surface texture for different generations of the coastal alluvial fan Guanillos, Atacama Desert

description: This dataset contains two micro-scale surface roughness measures - the standard deviation of slope (StdSlo) and the Vector Ruggedness Measure (VRM) - of the coastal alluvial fan Guanillos (GUA) in northern Chile (21.97°S, 70.17°W). Both roughness measures are derived from 5 cm digital elevation models (DEM) constructed based on surveys using an unmanned aerial system (UAS). Surface texture is quantified for three spatial scales of ca. 1 m, 2 m, and 3 m. Restricted to detailed areas of interest (AOI), the calculated spectral ratios are attributed to the four alluvial fan surface generations, or morphostratigraphic units, Q1 to Q4. Results are stored in an individual .csv table for each surface roughness measure.
DOI: 10.5880/crc1211db.40
title: UAS-based very high resolution digital elevation models and orthomosaics of the coastal alluvial fan Guanillos, Atacama Desert

description: This dataset contains the very high resolution (&lt;5 cm) digital elevation models (DEM) and orthomosaics (OM) of four survey areas at the coastal alluvial fan Guanillos (GUA) in northern Chile (21.97°S, 70.17°W). DEMs and OMs are based on aerial imagery acquired with a low-cost unmanned aerial system (UAS) on the 7th and 8th of March 2018. Imagery was processed using an optimized workflow for photogrammetric structure-from-motion (SfM) multi-view stereo (MVS) processing. The spatial resolution of the DEMs and OMs ranges from 2.8 to 3.2 cm and 1.4 to 1.6 cm, respectively. The raster geodata is stored in GeoTIFF format.
DOI: 10.5880/crc1211db.39
title: UAS-based surface gravelometry for different generations of the coastal alluvial fan Guanillos, Atacama Desert

description: This dataset contains grain sizes of bright surface clasts extracted digitally from very high resolution aerial imagery for the coastal alluvial fan Guanillos (GUA) in northern Chile (21.97°S, 70.17°W). The largest diameters (a-axes) of bright clasts were derived by global thresholding of RGB orthomosaics (OM) constructed based on surveys using an unmanned aerial system (UAS). Depending on the spatial resolution of the OMs, the minimal detectable grain size is 20 to 22 mm. Restricted to detailed areas of interest (AOI), the gravelometric data is attributed to the four alluvial fan surface generations, or morphostratigraphic units, Q1 to Q4. Results are stored in a .csv table.
DOI: 10.5880/crc1211db.38
title: Pleiades-1 spectral iron oxide ratios for different surface generations of the coastal alluvial fan Guanillos, Atacama Desert

description: This dataset contains the spectral ratios between the Red and Blue (R-B) as well as Near Infrared and Blue (NIR-B) bands of 2 m Pleiades-1 (P1) multispectral satellite imagery of the coastal alluvial fan Guanillos (GUA) in northern Chile (21.97°S, 70.17°W). Both spectral ratios are sensitive to iron oxides. Restricted to detailed areas of interest (AOI), the calculated spectral ratios are attributed to the four alluvial fan surface generations, or morphostratigraphic units, Q1 to Q4. Results are stored in an individual .csv table for each spectral ratio.
DOI: 10.48370/ofd/vutdr7/5doocc
title: M-0245.jpg

description: :unav
DOI: 10.48370/ofd/vutdr7/asjeuu
title: FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_0245_2.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/vutdr7/znzmif
title: FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_0245_FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_0245_3.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/vutdr7/sfoeyj
title: FMW_Daedaleopsis_confragosa_Bolton_J_Schrӧt_F_0245_1.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/vutdr7/unkhjp
title: 245_2.S3Dm

description: :unav
DOI: 10.48370/ofd/vutdr7/vqljvs
title: 245_1.S3Dm

description: :unav
DOI: 10.48370/ofd/vutdr7
title: Gmatwica chropowata (Daedaleopsis confragosa (Bolton) J. Schrӧt.), 245

description: Fungarium Makromycetes
DOI: 10.14457/tu.the.2020.95
title: Analysis of construction safety hazards using open data and text mining

description: The construction industry is known to have the highest rate of injuries and accidents around the world. Many research studies are engaged in analysing risks based on this industry using various techniques, and safety is a key consideration. According to the existing literature, it has been found that the contribution of sources of hazards such as worker factor, technological factor, natural factor, surrounding activity and organisational factors are the severe cause of accidents. However, data collection for these studies has been carried out through questionnaires and interviews, which could be susceptible to subjectivity and inaccuracies. There is a likelihood of answers being biased, skipped questions, interpretation issues, lack of nuance and accessibility issues. Besides, interviews rely on the respondent’s ability to accurately and honestly answer the questions being asked without involving fear for legal circumstances and being bias. The root cause for the occupational injuries might not be reliably alarmed whenever the organisational factors such as safety and management issue forefront the accident. Thus, the objectives of this research study are to employ Natural Language Processing technique for automatic extraction of sources of hazards and hazards within sources of hazards from open data, to evaluate the performance of various existing statistical classifiers with developed classifiers, to identify the distribution of extracted sources of hazards and the contribution of hazards relevant to each source of hazard through Pareto Analysis. The existing statistical classifiers required hundred thousand of data for better performance and work poorly whenever the positive training sample lacks data. Therefore, this study presents a comprehensive methodology for rule-based extraction tool development for sources of hazards identification with 95% threshold and classifier training for hazard identification within each source of hazard extracted. Random Forest showed the highest accuracy in extracting hazards from each source of hazard. Descriptive results showed that the worker factors were the highest root cause of the occupational accidents. Further, Pareto analysis showed that 80% of the contributing hazards for each source of hazard factor. In addition, secondary analysis using one-way ANOVA showed that Summer has the highest potential for causing accidents compared to other seasons. The developed rule-based classifier and trained Random Forest classifier to analyse digital textual documents would be a great help for the present, and future of construction safety management and this study would be a well-defined domain for such analysis.
DOI: 10.14457/tu.the.2020.96
title: Numerical study on behavior of unprotected steel H-beams in fire by LS-DYNA explicit solver

description: Steel is the most used construction material due to its inherent structural capability and its versatility as a new and green material. However, the major disadvantage for adopting steel as a structural member is due to its inability to resist fire so, an attempt is performed in studying the response of structural steel while subjected to fire numerically. With the calibrated numerical model and selection of suitable element formulation and material model a case study is performed for the performance evaluation of structural steel adopted for commercial building located in Thailand.This study presents the results of numerical analysis of structural steel in fire loading using various material models and different element formulation in LS-DYNA. Among several inbuilt material models and element formulations within the explicit finite element solver LS-DYNA, *MAT225 with Belytschko-Tsay shell element was adopted to predict the fire-resistance rating of HEB 300 hot rolled unprotected steel beam for standard fire furnace test based on ISO 834. A comparison of fire resistance rating was performed between the current numerical results and test results from reliable literature. In addition, the comparisons of deflection and rate of deflection were made the present numerical results and those tests based on EN 1993-1-1 and EN 1993-1-2 criteria. Fire load on beam was applied on nodes by temperature effects based on radiation and convection with varying specific heat values.Following the calibrated modeling approach, a 3D numerical model was developed for structural steel of O-NES tower. From the results of the current analysis, it was observed that the unprotected steel H-beam could not satisfy the limiting deflection criteria based on ISO 834 standard fire curve. Hence, coating is suggested which will protect the steel and enhance the rating. However, from the study performed to predict equivalence of fire severity based on areas beneath the standard and compartmental temperature-time curves for office (iBMB) it was observed that the studied section can fulfill the rating requirement.
DOI: 10.14457/tu.the.2020.97
title: Environmental life cycle assessment of organic fraction of municipal solid waste treatment by composting and anaerobic digestion: a case study in Sri Lanka

description: The management of solid waste has continued to be a significant issue in Sri Lanka. Since a large amount of organic waste is produced, thus it is important to find an appropriate option for treating the organic fraction of municipal solid waste (OFMSW). Composting or anaerobic digestion systems are widely adopted in managing OFMSW. The present study focuses to assess the environmental impacts of both anaerobic digestion and composting systems using life cycle assessment (LCA). The study was carried out in the anaerobic digestion and composting plants located in Kaduwela, Sri Lanka. The inventory data were collected from direct interviews and field measurements. The ReCiPe 2016 available in the SimaPro 9.1.0.11 was used as the impact assessment methodology. The collected inventory data were related to 1 tonne of OFMSW. Based on the inventory data, the composting plant consumes 3.12 kWh electricity, 29.1 L water, and 1.59 L diesel for the treatment of 1 tonne of OFMSW and produces 97.1 kg/tonne OFMSW of compost. The anaerobic digestion plant consumes only 0.0948 electricity and 28.8 L of water for the treatment of 1 tonne of OFMSW and results in 3.73 kWh net electricity production. Based on the field measurements, 4 kg of methane (CH4), 3.17 kg of ammonia (NH3), and 0.3 kg of nitrous oxide (N2O) per tonne of OFMSW are emitted from the composting plant, while 1.47×10-6±0.99 kg NH3 and 6.82±0.02 kg CH4 per tonne OFMSW are emitted from the anaerobic digestion plant. The impact assessment results indicated that global warming human health and terrestrial ecosystem impact categories are highly influenced by both composting and anaerobic digestion systems, whereas fine particulate matter formation and terrestrial acidification are highly influenced by the composting system. Finally, a total environmental load of 3.95 points for the anaerobic digestion plant and 12.46 points for the composting was calculated. Therefore, the total environmental load is three times higher in the composting system than the anaerobic digestion system thus the anaerobic digestion process makes the most viable option for treating OFMSW in Sri Lanka.
DOI: 10.48370/ofd/fn6ixh/xzwdr1
title: DSC03191.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/fn6ixh/kga4i5
title: DSC03192.JPG

description: Eksykat_makrofotografia
DOI: 10.48370/ofd/fn6ixh/3yznyr
title: m-1365.jpg

description: :unav