cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2016.524
title: Experimental and numerical study on cold-formed steel built-up box beams with different sections

description: Currently, the use of cold-formed steel member has been more popular even in developing country. It has been used for small and medium structures, especially roof structures. The built-up closed section is the most desirable section, since the torsional resistance of the built-up closed section is excellent in comparison of that of the single open section. Built-up box beam was considered in this research. The connection with self-drilling screws was chosen because it is more advantageous than the welding connection, in which the coating of cold-formed steel section may be destroyed by welding process. For the design specification, such as AISI 2012, the design method of the built-up is not clearly written. In this study, experimental study was focused to understand the flexural behavior of cold-formed steel built-up box beams composed of two face-to-face C sections. Built-up box beams made of five different C sections: C10012, C10015, C10019, C15012, and C15015 were tested. In addition, four different connection spacings equal to L/2, L/3, L/4, and L/6 (where L is representative span length) were chosen. Therefore, in the present test of the built-up box beams, there are 20 beam specimens. In the numerical study, a suitable finite element model was developed in order to compare with the experimental results. Initial geometry imperfection and geometrical/material nonlinearity were considered in the analysis. Both experimental results and those of finite element analysis showed that the capacity of the beam got higher when thickness of the section was increased and the connection spacing reduced. From the experimental results, the failure modes with connection spacing L/4 or smaller were local buckling, and the failure modes with connection spacing larger than L/4 were mixed modes of local buckling and distortional buckling, or lateral torsional buckling. The results from finite element analysis reasonably agreed with experimental results. Thus, the proposed computational modeling can be used to predict the behavior of the built-up box beam.
DOI: 10.14457/tu.the.2016.525
title: Investigation of optimal conditions for microbial cultivation and its immobilization on microbial fuel cell electrodes

description: Microbial fuel cell (MFCs) is a biological device that harvests chemical energy from microbial catalytic abilities of organic compounds in wastewater which is then converted to electrical energy. It is known that electrochemically active microorganisms that are effective in electron transfer are also a key factor to the MFC performance. In the study of microbe-electrode immobilization, the microorganisms collected from an up-flow anaerobic sludge blanket at Cho-heng rice vermicelli industry were employed as inoculum. The optimal conditions for microbial cultivation were initially investigated to identify the period of various growth phases (i.e. lag, log, stationary and death phases) under different cultivation temperatures such as 25, 30 and 35°C. The effect of agitation including horizontal and turbulence shaking was also explored. It was found that the microorganisms cultivated at 35°C using a horizontal shaking provided the fastest growth rate as the dry weight of microorganisms went up to 1.82 g/L and reached the log phase within 6 hours. The interactions between microorganisms at various growth phases were studied by cyclic voltammetry (CV). The mechanism of electron transfer in term of direct (DET) or indirect (IDET) electron transfer was also investigated using three electrolyte solutions: microbe-suspended MLB media, microbe-suspended PBS media and the used MLB media without microbe. The results suggested that the main process of electron transfer was the IDET via the endogenous or exogenous mediator. In addition, electrodes of MFCs were studied through the microbe-electrode immobilization processes which were assessed through electrochemical impedance spectroscopy (EIS) and scanning electron microscopy (SEM). Electrodes used in this present work were stainless steel (SS), granular activated carbon (GAC) and graphite plate. The results of EIS show that the resistance is greatly influenced by the immobilization time of microbes to form the biofilm on the electrode surface, the longer the time the smaller the resistance. The morphology of microorganisms immobilized on electrode surface showed a vast network of electrochemically active bacteria biofilm. For the first time, this work experimentally demonstrated the benefits of biofilm formation on the electrode surface using electrochemical techniques. The electrical connections through a formation of biofilm exhibited an improved electrochemical activity of the microorganisms.
DOI: 10.14457/tu.the.2016.526
title: The improvement of Thai Sung-yod rice’s germination using atmospheric plasma

description: The aim of this research is to improve the germination of Thai Sung-yod rice using atmospheric plasma. Several aspects of the germination are considered, including the moldy rate, the length of sprouts and roots, the weight of sprouts and roots, the moisture content, wettability, the quantity of gamma-aminobutyric acid (GABA) content and surface area. Paddy and brown rice of sung-yod rice were exposed by plasma, which is generated by dielectric barrier discharge (DBD) with a high frequency electric field over a parallel copper plate. Paddy and brown rice were exposed with varied times of exposure. All data from the experiments were analyzed by using ANOVA software at the confidential 95%. It is found that atmospheric plasma treatment can significantly increase the germination rate. The quantity of GABA content both of paddy and brown rice also increase up to 50% and 43%, respectively.  Moreover for paddy, atmospheric plasma can significantly reduced the moldy rate, moisture content, contact angle and surface area significantly up to 67%, 10%, 31% and 86% respectively. For brown rice, atmospheric plasma can significantly reduce moldy rate, contact angle and surface area up to 22%, 22% and 94% respectively.
DOI: 10.14457/tu.the.2016.527
title: Optimal placement of EV charging station considering the road traffic volume and EV running distance

description: The number of the Electric Vehicles (EVs) has been increasing rapidly owing to environmental friendliness. However, it is necessary to prepare an effective charging station infrastructure to support the demand of battery charging in daily energy consumption. Then the electric vehicle charging station must be extensively installed to sufficiently serve a number of EVs. The location of charging station supplying the need of charge and less to disturb to distribution systems are a key factor to make EVs car completely as gas car. In this work, we propose a new approach to select the location of charging station by using the road traffic volume and the driving range from real mobile data log. The proposed algorithm is used to determine the effective layout of charging station based on running out point of electricity. Especially, the voltage impact in distribution line is affected by EV charging behavior which is a serious problem of power quality. A simulator of the power flow analysis is simulated for power quality of the best location that suggests basic guide-line for alleviating the problem.
DOI: 10.14457/tu.the.2016.528
title: Microwave graphene oxide: a novel sorbent for slow release of aroma compounds

description: Aromatherapy products are in demand all over the world. A wide variety of products is made to meet this demand, such as air spray, candle, diffuser sheet, incense, perfume reed diffuser, potpourri, and scented gel. However, the scented lifetimes of those products are usually quite short. This work studies the use of microwave graphene oxide for use as a novel sorbent material for control release of aroma compounds, microwave graphene oxide (mGO). mGO can be easily synthesized using microwave at 700 watts within 1 minute which is a simple and rapid. Aroma compounds used in this work including menthol, thymol, citronellol, and geraniol were loaded into microwave graphene oxide. The release performance of the mGO was studied by the thermogravimetric analysis, the weights of the composites were monitored at the temperature of 80°C until all of the aroma compounds evaporated. When comparing the results of mGO with traditional essential oil reed diffuser and the pure aroma compounds, it was found that mGO can significantly slow down the menthol release rate compared to that of the pure menthol up to 8 times slower than the pure menthol. In addition, mGO can slow down the release rate of thymol and citronellol by about 3 and 4 times, respectively. Conversely, geraniol on mGO has a fast release rate compared to pure geraniol comparing to the pure substances around 3 times. The interaction of composites were also studied using Fourier transform infrared spectroscopy (FTIR) and 1H-NMR which indicates that mGO changes the chemical structure of menthol and geraniol leading to the slow release of menthol and fast release of geraniol. While mGO has a few effect on the release rate of thymol and citronellol, as it is only physical absorption. The release rate of thymol and citronellol adsorbed on the mGO are not changed significantly.
DOI: 10.14457/tu.the.2016.529
title: Preparation of electrospun nanofibers and microparticles of polylactide (co)polymers and quaternized cellulose

description: Quaternized cellulose (QC) has been prepared by treating cellulose derived from de-starch cassava pulp with glycidyl trimethyl ammonium chloride (GTMAC) under semi-dry process at various GTMAC-to-anhydroglucose unit (AGU) molar ratios, ranging from 1 to 3. The QC at various GTMAC contents were then characterized to provide an optimal content of GTMAC at QC [2:1]. The optimal QC suspension introduced antibacterial activity against both Gram-positive and –negative bacteria. The QC aqueous suspension was further mechanical treated by passing through a microfluidizer to obtain optical transparent gel-like aqueous suspension of quaternized cellulose nanofibrils (QCNF). For specific use in biomedical applications, QC powder, QC and QCNF suspension were incorporated into polylactide (PLA) via various techniques, producing microparticles and nanofibers. Microparticles were successfully generated by a phase inversion emulsification (PIE) method and then passing through a microfluidizer. PLA nanofiber composites incorporated with QC and QCNF were produced by blend electrospinning of PLA/QC, and coaxial electrospinning of PLA/QCNF.
DOI: 10.14457/tu.the.2016.530
title: Automatic facial acne detection for medical treatment

description: In this thesis, the implementation of the automatic acne detection system has been made by the various method of image processing. It consists of two main parts; blob detection and Bayesian's classification. First, a blob detection technique is utilized to facial images of patients to reveal circular structures of acne and its amounts. An input image is RGB, then it is converted into HSV and grayscale pictures, these are done to compare and relate points of interest. There may be some misdetection of acne such as blemish and freckle, binary thresholding has been used afterward to contrast and remove the mistakes easier. Using of box shape created by MATLAB, it has been made as an indication to the regions of interest in the results, they are seen as markings. For the second part, the output of blob detection has been fed into feature extraction and Bayesian classification algorithm to filter out the misdetection results from the previous step which boosts the overall system performance. The method of feature extraction composes of acne characteristic calculation such as skewness, kurtosis or entropy. Lastly, an algorithm of classification is applied as training and testing process to have the system automatically distinguish facial contents more deeply. Experimental output increases accuracy, precision and sensitivity with constant value, but all of these depend on location, shape and lighting condition of the facial image.
DOI: 10.14457/tu.the.2016.531
title: Vietnamese sentiment analysis for online booking hotel review based on term feature selection and dependency tree

description: This thesis paper presents an unsupervised method to classify document sentence’s level into sentiment-oriented categories such as positive and negative. Traditionally, sentiment analysis often classifies sentence based on word features, syllable features, N- Gram features. The sentence in a whole can contain several phrases and words in a meaningful way. However, classification a sentence based on phrases and word can be sometimes incoherent, because they are ungrammatically formed. For solving this kind of limitation, it is important to arrange words and phrase in a semantically strong form. Thus we transform a sentence into dependency tree structure. Dependency tree can hold several subtrees, and each subtree allocates words and syllables in a correct grammatical order.  Moreover, a sentence dependency tree structure can mitigate word sense ambiguity or solve the inherent polysemy of words by determining a correct word sense. In our experiment, we provide a detail of used method, and we also present an analysis of our experiment effectiveness.
DOI: 10.14457/tu.the.2016.532
title: Crowd-sourcing based road surface evaluation using mobile sensing

description: Road conditions monitoring system is one of important tools for Intelligent Transportation System (ITS). The monitoring system can facilitate road administrator to assess deterioration of road surface for maintenance, and assist driver for safety. Recently, smartphones were used as monitoring tools because of sensor-rich and Internet-enabled capability. Our research is aimed to developed tools for monitoring road distress based on smartphone sensors. In this research, we proposed virtual reorientation method for smartphone during driving. accelerometer, magnetometer and GPS positioning were used to determine relative orientation between smartphone and vehicle. Additionally, we proposed road conditions detection system based on support vector machine. Road bump and pothole conditions was focused. In the end of this paper, the result of system assessment by field test data reveal that our proposed system work successfully.
DOI: 10.5281/zenodo.841169
title: Comprehensive Survey Of Common Bean Viruses In Tanzania Using Next Generation And Sanger Sequencing Techniques

description: Common bean (<em>Phaseolus vulgaris</em> L.) is an important legume crop in Tanzania and elsewhere in the tropics and subtropics. We employed a next-generation sequencing technique to detect viruses in common bean plant samples collected from five agricultural research zones in the country. The aim was to target and sequence virus-derived small RNAs. To achieve this, total RNA was isolated from dry leaf samples using the CTAB method. The CTAB buffer contained 2% CTAB, 100 mM Tris–HCl, 20 mM EDTA, 2.5 M NaCl, freshly prepared 1% sodium sulfite, 2% PVP and 2.5% 2-mercaptoethanol in nuclease-free water. Total RNA was sent to Fasteris in Switzerland where the small RNA was purified by electrophoresis in an acrylamide gel. The small RNA library was prepared using the Illumina TrueSeq small RNA  sample preparation kit (Illumina Inc., San Diego, CA, USA). Viruses were detected using VirusDetect software (v.1.6 and v.1.7) (available at http://bioinfo.bti.cornell.edu/cgi-bin/virusdetect/index.cgi) and supercomputer at CSC.fi. Viruses detected belonged to at least 11 genera.
description: This project was funded by the Bill & Melinda Gates Foundation and  the Government of the United Republic of Tanzania
DOI: 10.5281/zenodo.841170
title: Comprehensive Survey Of Common Bean Viruses In Tanzania Using Next Generation And Sanger Sequencing Techniques

description: Common bean (<em>Phaseolus vulgaris</em> L.) is an important legume crop in Tanzania and elsewhere in the tropics and subtropics. We employed a next-generation sequencing technique to detect viruses in common bean plant samples collected from five agricultural research zones in the country. The aim was to target and sequence virus-derived small RNAs. To achieve this, total RNA was isolated from dry leaf samples using the CTAB method. The CTAB buffer contained 2% CTAB, 100 mM Tris–HCl, 20 mM EDTA, 2.5 M NaCl, freshly prepared 1% sodium sulfite, 2% PVP and 2.5% 2-mercaptoethanol in nuclease-free water. Total RNA was sent to Fasteris in Switzerland where the small RNA was purified by electrophoresis in an acrylamide gel. The small RNA library was prepared using the Illumina TrueSeq small RNA  sample preparation kit (Illumina Inc., San Diego, CA, USA). Viruses were detected using VirusDetect software (v.1.6 and v.1.7) (available at http://bioinfo.bti.cornell.edu/cgi-bin/virusdetect/index.cgi) and supercomputer at CSC.fi. Viruses detected belonged to at least 11 genera.
description: This project was funded by the Bill & Melinda Gates Foundation and  the Government of the United Republic of Tanzania
DOI: 10.14457/stou.the.2008.365
title: ความสัมพันธ์ระหว่างการตัดสินใจ ทางการบริหารงานของหัวหน้าหอผู้ป่วย กับคุณภาพการบริการพยาบาล โรงพยาบาลทั่วไป เขต 4 และเขต 5 กระทรวงสาธารณสุข /
DOI: 10.17632/65z8hkzfz7.2
title: UConn Tree Sway Biomechanics Study

description: The Tree Sway Biomechanics Study is a part of the STORMWISE project, an initiative within the Department of Natural Resources and the Environment at UConn in Storrs, CT, USA. This study was enacted to look at the drivers of tree sway (both amplitude and frequency thereof) in the trees of the roadside forests of Southern New England, an area of 'Mixed Wood Plain' ecoregion (defined by the Commission for Environmental Cooperation, 2009), characterized by a landcover mosaic of temperate forest with mixed-deciduous species distribution, agriculture and wetland. The landscape consists of glacial landforms including lakes, plains, rolling hills and low mountains. The sway motion of 41 trees was monitored continuously for one year in the data presented here. Wind was monitored simultaneously. It is the researchers intentions to link published work with data collection details as well as analysis. The following files are included here: -Tree Table (1 of 3 datasets) -Site table (2 of 3 datasets) -Weather Records (3 of 3 datasets) Future plans for this study involve the continued monitoring the same trees for years after a thinning treatment has been applied to the forest sites. This will allow analysis of change in sway motion due to forest management practices in this under-studied forest type.
DOI: 10.5281/zenodo.1164015
title: Single-Molecule Dynamics And Genome-Wide Transcriptomics Reveal That Nf-Kb (P65)-Dna Binding Times Can Be Decoupled From Transcriptional Activation

description: Data and analysis code repository for: 

Single-molecule dynamics and genome-wide transcriptomics reveal that NF-kB (p65)-DNA binding times can be decoupled from transcriptional activation

https://doi.org/10.1101/255380
DOI: 10.5281/zenodo.1164014
title: Single-Molecule Dynamics And Genome-Wide Transcriptomics Reveal That Nf-Kb (P65)-Dna Binding Times Can Be Decoupled From Transcriptional Activation

description: Data and analysis code repository for: 

Single-molecule dynamics and genome-wide transcriptomics reveal that NF-kB (p65)-DNA binding times can be decoupled from transcriptional activation

https://doi.org/10.1101/255380
DOI: 10.5281/zenodo.1164027
title: Htr Dataset Icfhr 2016

description: This dataset arises from the READ project (Horizon 2020).

The dataset consists of a subset of documents from the Ratsprotokolle collection composed of minutes of the council meetings held from 1470 to 1805 (about 30.000 pages), which will be used in the READ project. This dataset is written in Early Modern German. The number of writers is unknown. Handwriting in this collection is complex enough to challenge the HTR software.

The training dataset is composed of 400 pages; most of the pages consist of a single block with many difficulties for line detection and extraction. The ground-truth in this set is in PAGE format and it is provided annotated at line level in the PAGE files.

The previous dataset is the same that is located at https://zenodo.org/record/218236#.WnLhaCHhBGF

The new file includes the test set corresponding to the HTR competition held at ICFHR 2016
description: Main updates in Version 1.2.0 (Author: Lorenzo Quirós)

1) TextRegions have been labeled into four different structural types
(page-number, marginalia, paragraph and heading).

2) The surrounding polygon some TextRegion have been modified to avoid
overlaps between regions, and oversized and undersized regions.

3) Spurious regions have been deleted.
DOI: 10.5281/zenodo.1164028
title: Htr Test Icfhr 2016

description: Test set corresponding to the HTR competition held at ICFHR 2016
DOI: 10.5281/zenodo.1162737
title: Ultrasound Scans Of Wind Turbine Bearings With White Etching Crack Damage

description: A set of ultrasound images of wind turbine bearings with white etching crack subsurface damage. Attenuation levels above -10 dB indicate subsurface damage. Five tests were run under constant loading in a laboratory test rig, with two bearings in parallel. Tests were stopped at the indicated times (in hours) when vibration levels went above a certain threshold. This typically means that one of the two bearings has failed, although this is somewhat inconclusive for the fifth test where both bearings seem to be close to failure. For each bearing two sides were scanned (indicated by A and H).

The experiment was performed in summer-autumn 2017 by DTU Wind Energy, as part of the FP7 Integrated Research Programme in the field of Wind Energy (IRPWIND), 2nd Round of Joint Experiments.

For more information about this dataset please contact Dr Hilmar Danielsen at DTU Wind Energy.<br>
description: The data is embargoed until the end of 2018 to ensure first publication rights of the project partners.
DOI: 10.5281/zenodo.1162738
title: Ultrasound Scans Of Wind Turbine Bearings With White Etching Crack Damage

description: A set of ultrasound images of wind turbine bearings with white etching crack subsurface damage. Attenuation levels above -10 dB indicate subsurface damage. Five tests were run under constant loading in a laboratory test rig, with two bearings in parallel. Tests were stopped at the indicated times (in hours) when vibration levels went above a certain threshold. This typically means that one of the two bearings has failed, although this is somewhat inconclusive for the fifth test where both bearings seem to be close to failure. For each bearing two sides were scanned (indicated by A and H).

The experiment was performed in summer-autumn 2017 by DTU Wind Energy, as part of the FP7 Integrated Research Programme in the field of Wind Energy (IRPWIND), 2nd Round of Joint Experiments.

For more information about this dataset please contact Dr Hilmar Danielsen at DTU Wind Energy.<br>
description: The data is embargoed until the end of 2018 to ensure first publication rights of the project partners.
DOI: 10.17027/isric-wdcsoils.20180003
title: SOTER data model v2.0

description: Provides a link to the landing page for the ´SOTER data model v2.0´. This is an empty MsAccess (R) database that may be used to compile a Soil and Terrain Database (SOTER) for a specific country or region. A SOTER database is composed of a map (in GIS polygon format) that delineates the SOTER map units and a set of tables in a relational database with terrain and soil data. The information in the tables can be linked to the units of the map.  
http://www.isric.org/projects/soil-and-terrain-soter-database-programme