cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13291252.v1
title: Additional file 1 of The association between ambient air pollution and pulmonary tuberculosis: a systematic review protocol

description: Additional file 1. The RepOrting standards for Systematic Evidence Syntheses (ROSES) for systematic review protocols for the systematic review protocol on the association between ambient air pollution and pulmonary tuberculosis.
DOI: 10.6084/m9.figshare.13291246.v1
title: Additional file 5 of Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases

description: Additional file 5: Table S9. Input summary statistics for SNPs needed for basis projection for JIA and PsA. Beta refers to the effect of allele a2 compared to a1. se.beta is the standard error of beta. SNPs are identified by chromosome, position, reference and alternative alleles. (CSV 346 kb)
DOI: 10.6084/m9.figshare.13291237.v1
title: Additional file 2 of Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases

description: Additional file 2: Tables S1-S8. Summary of input datasets, sources, and sample sizes.
DOI: 10.6084/m9.figshare.13291249
title: Additional file 6 of Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases

description: Additional file 6: Table S10. Projection results for each studied trait, giving the delta value for each PC, its variance, and the Benjamini-Hochberg adjusted p value (“fdr.delta”) together with an overall test of significance, both raw (“p.overall”) and Benjamini-Hochberg adjusted (“fdr.overall”). (CSV 1552 kb)
DOI: 10.6084/m9.figshare.13291286
title: Additional file 2 of Combined the SMAC mimetic and BCL2 inhibitor sensitizes neoadjuvant chemotherapy by targeting necrosome complexes in tyrosine aminoacyl-tRNA synthase-positive breast cancer

description: Additional file 2. Supplementary table.
DOI: 10.6084/m9.figshare.13291286.v1
title: Additional file 2 of Combined the SMAC mimetic and BCL2 inhibitor sensitizes neoadjuvant chemotherapy by targeting necrosome complexes in tyrosine aminoacyl-tRNA synthase-positive breast cancer

description: Additional file 2. Supplementary table.
DOI: 10.6084/m9.figshare.13290593
title: Porcentaje de centros educativos por comunidades autónomas con plataforma online como apoyo al proceso de aprendizaje tradicional

description: El gráfico representa en porcentaje los centros educativos no universitarios con plataforma online utilizada como apoyo al proceso de enseñanza tradicional
DOI: 10.6084/m9.figshare.13290593.v1
title: Porcentaje de centros educativos por comunidades autónomas con plataforma online como apoyo al proceso de aprendizaje tradicional

description: El gráfico representa en porcentaje los centros educativos no universitarios con plataforma online utilizada como apoyo al proceso de enseñanza tradicional
DOI: 10.21227/aw40-sz93
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage and the kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.21227/xae8-0910
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltageand the kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.6084/m9.figshare.13290200.v1
title: Classification after linear regression

description: There are 10 leadtime folders, which include Classification_afterLR.png, Classification_afterLR_Nino34index_prediction_leadtime1.txt and Classification_afterLR_forecast.png for different time span
DOI: 10.21227/0waq-tv39
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltageand the kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring systems
DOI: 10.21227/s6xh-j522
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage i The kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical hand In this paper and dataset, mass-spring system
DOI: 10.21227/vy78-w770
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage i The kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.21227/1j4g-0896
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage i The kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.21227/6cpq-xq56
title: Biomedical KEH B

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage i The kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset, mass-spring system
DOI: 10.6084/m9.figshare.13290200
title: Classification after linear regression

description: There are 10 leadtime folders, which include Classification_afterLR.png, Classification_afterLR_Nino34index_prediction_leadtime1.txt and Classification_afterLR_forecast.png for different time span
DOI: 10.6084/m9.figshare.13290200.v2
title: Classification after linear regression

description: There are 10 leadtime folders, which include Classification_afterLR.png, Classification_afterLR_Nino34index_prediction_leadtime1.txt and Classification_afterLR_forecast.png for different time span
DOI: 10.14457/tu.the.2019.763
title: Part-based fusion network for person re-identification

description: With pedestrians captured from the security cameras in certain areas, person re-identification is the problem of identifying the same person across the video surveillance system. To make sense of the enormous quantity of visual data generated from distributed camera surveillance systems, automated person re-identification is important to count, discover, and track for many applications such as person behaviors, footfall, forensic video analysis. However, it has many challenges due to variations of pose, viewpoint, background, illumination, and scales. In this thesis, the new approach to combine fine-grained part-based and global information extracted from the Deep Learning model with many convolution neural network (CNN) layers. The result from two public datasets shows that our method gained significant improvements over the-state- of-arts methods.
DOI: 10.14457/tu.the.2019.764
title: Fuzzy mixed integer linear programming model for monthly unit commitment in the national level power system

description: In large-scale monthly unit commitment, the generation system is committed to schedule list of available generating units and available fuel provision for a whole month. Despite challenging numerous operational restrictions, especially in the national level power system, the fluctuating factors such as load demand, fuel price, affect to the decision making on generating electricity in the uncertain market. An effort to deal with price fluctuation by proposing a Fuzzy Mixed Integer Linear Programming Model focusing on fuel price in the uncertainty environment for the monthly unit commitment in the national level power system is introduced. Adding a fuzzy parameter which takes the fluctuation of fuel price, the crisp monthly unit commitment problem is transferred into a form of impreciseness. The price-based uncertainty in monthly unit commitment problem is handled with attempting to minimize fluctuation tolerance of fuel price. A real national planning level in Thailand power system which comprises multiple types of generators and supplied fuels is tested using the proposed technique. Particularly, the small test case including 24-unit system and the national level planning with 204-unit system are used for sensitivity analysis on fuel price and manifesting the efficiency of the proposed Fuzzy MILP model. Total cost and fuel cost are revealed by solving the modeling technique. Moreover, the fluctuation behaviors of fuel selection among such types providing to the same generating unit are also analyzed.
DOI: 10.14457/tu.the.2019.765
title: The optimal buffer allocation, initial buffer size and capacity with improved genetic algorithm

description: Motivation-Flow production lines with finite buffer capacities are used in practice for mass production, e.g., in the automotive and food industries. The determination regarding the allocation of buffer capacities and size to mitigate production throughput losses from various processing times with unreliable stations is known as the Buffer Allocation Problem (BAP). Problem statement-Genetic Algorithm is a well-known meta-heuristic applied to solve BAP. However, due to its limitation, solutions are usually trapped at the local optimum. Although there are a number of studies applied GA to solve BAP, they mainly focused on varying parameters, such as: crossover rate; mutation rate and so on. In this study, GA performance is enhanced by adding extra steps into the algorithm to improve the heuristics performance. Purpose-This study aim at solving the Buffer Allocation Problem by maximizing the production throughput. Design/Methodology-Simulation via optimization method is applied to solve the problem. Result-The enhancement of this approach is not clearly clarified as shown in the result. However, the performance of improved genetic algorithm (IGA) has higher stability compares to original genetic algorithm (OGA). Originality-.The contribution of this research is to provide a new approach and encourage a new research direction in solving BAP.
DOI: 10.5519/qd.x8hq4d74
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.13291724.v1
title: Linear Regression

description: There are 10 leadtime folders, which include linear_regression.png, linear_regression_Nino34index_prediction_leadtime1.txt and linear_regression_forecast.png for different time span
DOI: 10.6084/m9.figshare.13291724
title: Linear Regression

description: There are 10 leadtime folders, which include linear_regression.png, linear_regression_Nino34index_prediction_leadtime1.txt and linear_regression_forecast.png for different time span
DOI: 10.6084/m9.figshare.13291724.v2
title: Linear Regression

description: There are 10 leadtime folders, which include linear_regression.png, linear_regression_Nino34index_prediction_leadtime1.txt and linear_regression_forecast.png for different time span
DOI: 10.21227/2ksb-g904
title: Comparison of FOC BLDC control -- SMO vs flux observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.14457/tu.the.2019.767
title: Gender classification and age estimation from gait

description: Gender classification and age estimation are topics that have the attention of computer vision researchers. The facial is always applied to estimate gender and age. However, using the facial to predict the gender or age has the limitation from the quality of the camera, and if the subject is far away from the camera, it will be difficult to capture the face. Moreover, most of the previous work using the gait feature is worked on fixed direction data, which does not close to the collected data from real-world environments. In this thesis, we propose two topics, gender classification, and age regression. The gender classification and age regression have two main parts. In the first part, we designed the model to classify the silhouette image into a specific observation angle. In the second part of gender classification, we developed the model based on the Convolution Neural Network (CNN). However, in the second part of age regression, we combining the Convolution Neural Network (CNN) with Gaussian Mixture. Our gender classification model performs well with freely walk (SIIT-CN-B) and fixed direction dataset (CASIA-B). Our gender classification model achieves 90.74 % and 97.58% on SIIT-CN-B and CASIA-B, respectively. However, our age regression model performs 4.08 years of MAE in SIIT-CN-B dataset, which outperforms the existing models.
DOI: 10.14457/tu.the.2019.768
title: Modeling of electrochemical corrosion of reinforcing steel in patching-repaired reinforced concrete

description: This study aims to develop a model to predict electrochemical corrosion of reinforcing steel in concrete after being patched repair. Experimental studies were conducted on corrosion of reinforcement in non-repaired and repaired concrete. As for the non-repaired concrete, the aim is to investigate the severity of corrosion with various affecting factors, including concrete mix proportion, chloride content, covering depth, and time of exposure. Simultaneously, determination of polarization behavior of steel through electrochemical properties, i.e. Tafel slopes and equilibrium potentials, were also carried out. On the other hand, the experiments on the repaired concrete were conducted to evaluate the electrochemical incompatibility.Evaluation of corrosion for newly designed RC structures can be obtained by prediction models. The prediction models are developed by incorporating hydration degree of cement, pozzolanic reaction degree of fly ash, and the effect of chloride ions in concrete. A guideline for estimating corrosion severity of existing structures was proposed. The relationships between corrosion parameters, i.e. electrical resistivity, corrosion potential, and corrosion rate are proposed. A FEM model for simulating corrosion in the patching-repaired concrete was obtained and its simulation results were compared with the experimental results, where satisfactory comparison results were obtained. Future improvement of the more is still required for more precise simulation.
DOI: 10.14457/tu.the.2019.769
title: Expansion and shrinkage strains in expansive reinforced concrete structures with thin section

description: Expansive cement or expansive additive is used to compensate the shrinkage strain in concrete under restrained condition. As the shrinkage cracks are commonly found in reinforced concrete structures having a large area with thin section, four types of reinforced concrete structures were selected to study their expansion and shrinkage strain under different restrained conditions. They are slab on beam and foundation, water tank wall, slab on grade, and industrial slab. Normal concrete and expansive concrete were used to observe different strain behaviour in these structures. Strain gauges and thermocouples were installed at different locations with different restraining degrees to monitor the strain and temperature profiles in each type of the monitored structure. The measured strains in this study are the total strains which include expansion and shrinkage strains under environmental effects and also external construction loading. As there are limited amounts of study on expansion and shrinkage of reinforced concrete structures using expansive concrete, expansion and shrinkage strain profiles with different mix proportions under construction environment were studied. Moreover, the restrained expansion and shrinkage strains of the laboratory specimens are predicted from free strain using finite element analysis and verified with experimental data. The measurement results from selected reinforced concrete structures in construction sites indicate that the locations which are exposed to the high temperature (sunlight) and low humidity environment, are more likely to show higher shrinkage strain. Therefore, moisture loss due to ambient temperature and humidity play a vital role in the formation of shrinkage strain. Additionally, external and internal degree of restraints according to their structural configuration are also important factors which can result in different expansion and shrinkage strains in each type of structure. In addition, the applied three-dimensional finite element (3D FE) method was useful to predict the expansion and shrinkage strains under restrained condition specimens as a good accuracy between 3D FE analysis and experimental data could be obtained. Moreover, the effectiveness of restrained tensile strain compensation in expansive concrete is presented through the strain measurement in construction sites, laboratory and the 3D FE modelling.
DOI: 10.14457/tu.the.2019.771
title: Metal-organic framework (MIL-53(Al)) functionalized magnetic nanoparticles as a smart solution for the removal of antibiotics

description: The presence of antibiotics in natural water and soil is causing considerable damage to the ecosystem and it is one of the emerging threats for both humans and animals. The tenacious existence of antibiotic residuals causes ubiquitous progressive environmental issues mainly by developing antimicrobial-resistant in humans and animals for some of the pathogens. Removing residual antibiotics and eradicating the sources of contamination is much needed for the sustainable development of mankind and the ecosystem around.Multi-functional materials for the removal of antibiotics from waterbodies have fascinated many researchers due to the high demand. Unlike regular adsorbents, smart multifunctional materials can bring easy solutions to the emerging problem. Removal of antibiotics by an adsorbent can give an impermanent solution but leaving the adsorbent in water can be a cause for other substantial passive problems. Current work focused on developing a novel magnetic adsorbent (magnetic@MIL-53(Al)) to remove antibiotics such as oxytetracycline (OTC) present in natural water bodies by adsorption and degrading them using magnetic induction heating. Surface grafting of metal-organic frameworks (MIL-53(Al)) on polyethylene glycol (PEG) coated magnetic nanoparticle was employed as the method of synthesis. Microwave mediated synthesis protocol was used in synthesizing magnetic nanoparticles. It was a rapid technique in synthesizing magnetic nanoparticles and able to maintain the particle size around 100 nm at all the batch synthesis reactions. Growing MIL-53(Al) was done at room temperature and successful growth of MIL-53(Al) over magnetic nanoparticles was corroborated via powder diffraction patterns and FT-IR spectrums. Diffractions patterns of the synthesized magnetic@MIL-53(Al) material was similar to that of simulated MIL-53(Al) ht and lt forms. Thus, the use of an external magnetic field to control magnetic@MIL-53(Al) in aqueous systems makes the process much easier in large scale applications. The overall particle size of magnetic@MIL-53 was maintained to be around 100nm and superparamagnetic properties observed. The basic framework of MIL-53(Al) was maintained during the synthesis of Magnetic MIL-53(Al). The maximum adsorption capacity of the synthesized composite material was 776.5 mg g-1. UV-vis spectroscopy was used to analyze the concentrations of simulated OTC solutions and results show that MNP(PEG)MIL-53(Al) is a suitable smart material for antibiotic adsorption. Magnetic metal-organic particles were then regenerated several times to determine the reusability by subjecting the particles into magnetic induction heating. Core magnetic particles can be heated using a magnetic induction heater to produce high temperature around the particle to degrade heat-labile OTC molecules. The composite material was regenerated for 10 cycles and found that it can be used over 5 times with significant adsorption capacity.
DOI: 10.21227/9h7r-4414
title: Comparison of Inverter

description: This dataset is in support of my planned research paper " Performance Optimizer " about to be submitted shortly to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63).
DOI: 10.5445/ir/1000126261
title: Atomic scale displacements detected by optical image cross-correlation analysis and 3D printed marker arrays
DOI: 10.6084/m9.figshare.13291838
title: Software Design and Collaborative Modeling in Open Source Projects

description: This is a raw data file.
DOI: 10.6084/m9.figshare.13291838.v1
title: Software Design and Collaborative Modeling in Open Source Projects

description: This is a raw data file.
DOI: 10.5281/zenodo.4291732
title: Appendix 2 Raw data for CD013122

description: This is raw data for the Cochrane review: “Secondary prevention of variceal bleeding in adults with previous oesophageal variceal bleeding due to decompensated liver cirrhosis: a network meta-analysis” (DOI: 10.1002/14651858.CD013122)
DOI: 10.5281/zenodo.4291731
title: Appendix 2 Raw data for CD013122

description: This is raw data for the Cochrane review: “Secondary prevention of variceal bleeding in adults with previous oesophageal variceal bleeding due to decompensated liver cirrhosis: a network meta-analysis” (DOI: 10.1002/14651858.CD013122)
DOI: 10.5281/zenodo.4291745
title: Heron Island reef metabolism

description: Data file of Heron Island reef metabolism collected between 2015-2016.
DOI: 10.5281/zenodo.4291744
title: Heron Island reef metabolism

description: Data file of Heron Island reef metabolism collected between 2015-2016.