cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6069/2y0c-3k94
title: Multiple reaction monitoring (MRM) based data for targeted validation of proteins in Labeo rohita

description: A set of peptides was taken for targeted validation using targeted proteomic approach of Multiple reaction monitoring (MRM)/selected reaction monitoring (SRM).  We have performed targeted experiment for two proteins in female gonad tissue of Labeo rohita. Results were matched with a spectral library for the reliability of the data. TSQ Altis Triple Quadrupole Mass spectrometer (Thermo) coupled to an HPLC system was used for acquiring the data. This data represents the significance of PeptideAtlas in targeted experiments.
DOI: 10.6084/m9.figshare.19247985.v1
title: Vibrational Stark Spectroscopy of CXF-D

description: The vibrational Stark spectra and the data fitting of the C=O and C-D of N-[formyl-d]-Cyclohexylformamide.
DOI: 10.6084/m9.figshare.19247985
title: Vibrational Stark Spectroscopy of CXF-D

description: The vibrational Stark spectra and the data fitting of the C=O and C-D of N-[formyl-d]-Cyclohexylformamide.
DOI: 10.14457/tu.the.2020.1028
title: Preservation of nicotine and solanesol from tobacco by cyclodextrins nanoencapsulation

description: Tobacco wastes contain major valuable active compounds which are nicotine and solanesol. Nicotine is widely used in pharmaceutical industries, especially for smoking cessation. There are several products for nicotine replacement therapy such as chewing gum, lozenges, and patches. Solanesol has many bioactivities such as antioxidant, anti-inflammatory, neuroprotective, and antimicrobial which can be used for pharmaceutical products. However, nicotine and solanesol instability caused by volatile substances, heat, presence of sunlight, or oxidizing agents, limits their usage. Therefore, the preservation of both active compounds is needed. The nanoencapsulation by using β-cyclodextrin (βCD) and methylated-β-cyclodextrin (MβCD) were investigated due to their non-toxicity. Computer simulation was used to predict the possibility of nicotine/CDs and solanesol/CDs inclusion complexes formation. The computer simulation results show the 1:1 and 2:1 host-guest molar ratio for nicotine/CDs and solanesol/CDs, respectively, which were further verified by experimental study. XRD, FTIR, TGA, and DSC results were analyzed to confirm the inclusion complexes formation. The preservation study of nicotine was performed at 25 ℃ and 40 ℃ for 21 days. The remaining amount of pure nicotine are 51.20% and 50.34% for 25 ℃ and 40 ℃, respectively. Nicotine/βCD and nicotine/MβCD inclusion complexes show the stability improvement of nicotine. The remaining amount of nicotine from nicotine/βCD and nicotine/MβCD inclusion complexes are 85.84% and 82.72% for 25 ℃ and 89.32% and 76.22% for 40 ℃, respectively. The preservation study of solanesol was performed at 25 ℃ and 40 ℃ for 28 days. The remaining amount of pure solanesol are 63.13% and 54.27% for 25 ℃ and 40 ℃, respectively. Solanesol/βCD and solanesol/MβCD inclusion complexes show the stability improvement of solanesol. The remaining amount of solanesol from solanesol/βCD and solanesol/MβCD inclusion complexes are 96.91% and 96.77% for 25 ℃ and 94.59% and 87.34% for 40 ℃, respectively. The results show that the nanoencapsulation technique using cyclodextrins can be performed to enhance the stability of both nicotine and solanesol when compared to the free forms which results in the shelf-life extension of nicotine and solanesol. Moreover, a skin permeation study shows the increment of permeated nicotine after being encapsulated by CDs. After 60 min, nicotine/βCD gel provides highest amount of permeated nicotine which is 13.57 μg followed by nicotine/MβCD gel, 9.81 μg, and pure nicotine gel, 0.95 μg. The improvement of nicotine skin permeation result can be applied for further use in the pharmaceutical industries.
DOI: 10.14457/tu.the.2020.1029
title: A smoothing photovoltaic power injection using moving average with efficient battery energy storage system

description: The power generation from the solar photovoltaic (PV) system has been continuously increasing due to the widely spread concern of environmental impacts. The PV system produces the fluctuated power that highly depends on unpredictable weather conditions such as cloud movements and cloud shadows. The fluctuated generated power highly affects the existing power quality of the power system. To overcome this issue, in this study, a smoothing technique is proposed for the battery energy storage system (BESS) to compensate for the PV fluctuated power injected into the existing power system. The proposed PV system consists of a PV module connected to the DC-DC boost converter. A common DC bus connects the PV system with the BESS and injects the power into the system through a DC-AC converter. The Double Moving Average algorithm generates the average power signal. The BESS controller checks state of charge (SOC) constraints, and if the generated power from the PV is greater than the average power from DMA, the BESS will be charged without compensating the supply power. Otherwise, the BESS will compensate the generated power to make it smooth. Finally, the injected power into the grid is smooth. The proposed scheme is implemented and simulated by using MATLAB. This study also compares the proposed scheme to the other existing techniques and indicates that the proposed smoothing technique achieves better performance.
DOI: 10.14457/tu.the.2020.1030
title: Toughening of polylactide by a blending process and enhancement of their products super-hydrophobicity

description: This research is aimed to develop a process for enhancing toughness of polylactide (PLA) and improving its surface hydrophobicity. These are achieved by blending PLA with 20 wt% poly(ethylene glycol) (PEG) with various molecular weights (2,000, 6,000, 20,000 and 35,000 g/mol), by using an internal mixer at a temperature of 190 ˚C, with a rotor speed of 60 rpm for 10 min. The elongation at break of the blended samples was largely improved, compared to neat PLA, The highest degree of improvement (302%) was obtained when PEG with the highest molecular weight (35,000 g/mol) was employed. This is a result from the lowering of the glass transition temperature (Tg) and the increase in the crystalline content of the blends. However. tensile strength and modulus of the blends were decreased accordingly. In addition, the film’s surface was modified by treating with alkyl ketene dimer (AKD), which specifically reactive towards hydroxyl groups of PEG chains located at the film’s surfaces. The treated films exhibit super-hydrophobicity, as a result from a formation of nano-patterns by the reacted AKD and free AKD deposited on the surfaces. The resulting films, which possess improved toughness and surface superhydrophobicity, have high potential for use in various packaging applications.
DOI: 10.14457/tu.the.2020.1031
title: Surface treatments of metallic materials for fog harvesting applications

description: Water scarcity has become gradually more serious issue worldwide, specifically in rural areas. Fog-harvesting devices or fog collectors are effective tools used for condensing water from moisture in the air for water supply. Metallic mesh is commonly used in this application. In this work, a process for surface modification of copper mesh is developed to enhance its hydrophobicity supporting the water-collecting efficiency. The copper mesh surface is first oxidization to create active functional group of hydroxyl (-OH). The effect of oxidization time on the occurrence of -OH groups including the structure of copper mesh surface is systematically studied. Results show that the density of –OH groups on the mesh surface which is determined by Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM) and water contact angle (WCA) measurements, increase with the reaction time and reach a maximum value at 10 min. Moreover, the oxidation lead to a formation of needle-like structure on the copper mesh surfaces. Then, the oxidized copper mesh is treated with hydrophobic agent i.e., alkyl ketene dimer (AKD) by a facile immersion technique. The AKD is coated on the oxidized copper mesh surface via chemical reaction of –OH groups and lactone ring of AKD to form β-ketoester bond which is confirmed by synchrotron radiation X-ray photoelectron spectroscopy. The AKD-treated copper mesh shows improvement of hydrophobicity with high WCA of 147 ± 3°. The modified hydrophobic copper mesh is applied as fog-harvesting collector and it can generate high rate of water (690 mg.hr-1.cm-2) when compare with pristine mesh having WCA of 128° (104.11 mg.hr-1.cm-2). The reason may come from the synergistic effect of the hydrophobicity and the needle-like structure on the modified copper mesh surface.
DOI: 10.14457/tu.the.2020.1032
title: Marker and IMU-based registration for mobile augmented reality

description: Most mobile augmented reality (AR) use cases are limited to indoor environments. Traditional mobile AR uses an image marker to overlay virtual objects with real objects. Newly introduced mobile AR frameworks, such as ARKit and ARCore, enhance mobile AR capability to perform in room-scale environments thanks to integration of an inertial measurement unit (IMU). Despite this, overlaying virtual and real objects in a huge range of working areas, such as an outdoor environment, is still a challenge. In this study, a novel AR registration mechanism which combines image markers and IMU tracking, is proposed for using mobile AR in outdoor environments. As a result, mobile devices compatible with ARKit can operate registration in outdoor environments without any additional tools other than an image marker. The registration mechanism developed elevates mobile AR experiences for use with large-scale objects such as buildings or outdoor landscapes.
DOI: 10.14457/tu.the.2020.1033
title: A study of human respiratory sensing factors by wireless ultra-wideband impulse radar sensor

description: Resting respiratory rate (RR) is vital for diagnosis of COVID-19, use of supplemental oxygen, and ICU admission. In addition, having doctors to be able to perform contactless RR measurement helps to reduce risks of doctors from infection. In this work, we are interested in evaluating an off-the-shelf, commercial RR sensor based on impulse radio ultra-wideband (IR-UWB) radar, to provide contactless, remote, and continuous RR measurements. Specifically, since we expect that the sensor will be deployed in the environment such that there is a plastic or even wall blocking the signal between the patient and the sensor, in this thesis we perform experiments to see how the sensor performs with such obstruction. Our study aims to study the factors that affect the returned UWB signal such as obstacle material, distance, and subject mobility. We attempt to describe the effect on the RR reading accuracy and breathing pattern caused by these factors. We compare several obstacle materials including mirror, acrylic sheet, glass, metal sheet, brick wall, bottled water, and wood. For each material, we test with different distance of the subject. The test results show that the RR readings were within the accepted range for all of the test obstacles, as long as the stationary subject was located at distance between 0.75 and 3 meters from the sensor while the obstacle was put at distance 0.5 meters from the sensor. However, when the subject was not stationary and/or there was another moving person nearby (an interferer), we found that the sensor was highly sensitive to the fast movement of the subject and the interferer. The sensor can work for doctor and patient in some scenario on COVID-19. From the collected test data, we draft an operation guideline to use the sensor appropriately. We hope that our work would help to give a better understanding of the sensor performance when the signal is obstructed. This understanding is needed for deployment of the sensor in the real hospital environment.
DOI: 10.14457/cu.the.2008.2150
title: ล่ามในคริสตจักรและในมัสยิด

description: สารนิพนธ์หัวข้อ ล่ามในศาสนสถาน ฉบับนี้มีวัตถุประสงค์เพื่อศึกษาการทำงานและสภาพการทำงานของล่ามในศาสนสถาน อันได้แก่ ในมัสยิด และในคริสตจักร รวมทั้งสำรวจความคิดเห็นของล่ามในการทำล่ามในศาสนสถานของตนและศึกษาความคิดเห็นและความคาดหวังของผู้ใช้ล่ามในศาสนาสถาน โดยดำเนินการวิจัยด้วยวิธีสัมภาษณ์และสังเกตการทำงานของล่ามในคริสตจักร จำนวน 8 คนและล่ามในมัสยิดซึ่งเป็นมุสลิมจำนวน 2 คน รวมการสัมภาษณ์ล่ามในคริสตจักรและมัสยิดทั้งหมด 10 คน นอกจากนี้ยังมีการสัมภาษณ์ผู้ใช้ล่ามซึ่งเป็นผู้ฟังล่ามชาวอเมริกันในคริสตจักรจำนวน 5 คน และผู้ใช้ล่ามมุสลิมในมัสยิดซึ่งเป็นผู้ฟังชาวแอฟริกันจำนวน 1 คนและชาวพม่าจำนวน 2 คน รวมการสัมภาษณ์ผู้ใช้ล่ามในคริสจักรและในมัสยิดทั้งหมดจำนวน 8 คน ผลการวิจัยสรุปได้ว่า ล่ามในคริสตจักรมีหน้าที่ล่ามเพียงอย่างเดียวแต่ล่ามในมัสยิดบางท่านมีหน้าที่เป็นล่ามให้ตนเองและเป็นผู้เทศนาด้วยในเวลาเดียวกัน ล่ามในศาสนสถานมีความอิ่มเอิบใจที่ได้เป็นล่ามให้กับศาสนสถานของศาสนาตน แม้ว่าไม่ได้รับค่าตอบแทนในการทำล่าม แต่ล่ามถือว่าเป็นการรับใช้ศาสนา รับใช้สมาชิกในศาสนาสถานของตนและรับใช้พระผู้เป็นเจ้าที่ตนศรัทธา นอกจากนี้ ผลการสัมภาษณ์เกี่ยวกับความคาดหวังของผู้ใช้ล่ามพบว่า ผู้ใช้ล่ามคาดหวังให้ล่ามเข้าใจมโนทัศน์ของศาสนาที่ตนกำลังทำล่ามอยู่ สามารถสื่อสารประเด็นสำคัญเป็นภาษาอังกฤษที่ผู้ใช้ล่ามเข้าใจได้ด้วยการออกเสียงที่ชัดเจน และแปลเร็วทันกับผู้พูดโดยไม่ทิ้งช่วงห่างจนเกินไป
DOI: 10.14457/tu.the.2020.1035
title: Development of techniques for measuring banana fruit maturity levels

description: Maturity of Homthong banana harvested at different stages has significant effects on the fruit final quality and storage period. Banana harvested too early will have less sweetness upon ripening, while banana harvested too late may have short storage life which is particularly important in the export of banana which may take from 2-4 weeks for land and ship transport between different countries. Maturity level suitable for export occurred when the banana was still green, where the peel color, the total soluble solids (TSS), pH, or firmness have not changed much from the early maturity stage, and thus could not be used as an indicator for a suitable harvesting time. In this work, maturity level of banana harvested at different weeks were assessed through electrical measurements together with other physico-chemical properties of banana. It was found that banana harvested at different weeks display quite a marked difference electrical resistance and tend to be well separated for bananas harvested in early weeks, while bananas harvested in later weeks tend to have similar terminal resistance, or not changed as much as those in early weeks. The electrical resistivity of banana increased as the banana became more mature. The increase in electrical resistivity is probably due to an increase in starch accumulation and a decrease in conductive ionic species as banana became more mature. Electrical resistivity measurement could therefore be used as maturity index to aid fruit growers a suitable harvest time.
DOI: 10.14457/tu.the.2020.1037
title: The application of material circularity measurement in multiple products of the oil palm industry

description: The oil palm industry plays an important role in food and energy production. However, this industry is one of the agricultural industries with high greenhouse gas (GHG) emissions of 52.16 million tons of carbon dioxide equivalent, accounting for 14.72% of total GHG emissions. This study, therefore, assesses GHG emissions of fresh fruit bunch (FFB), which is a product from oil palm plantations and is a raw material for the palm oil extraction process. GHG emissions assessment shows that in the area with high material consumption, GHG emissions are also high. It is suggested that GHG emissions are reduced by increasing FFB yields. With the awareness of the importance of a circular economy, the material circularity indicator (MCI) is also applied in this study to measure the material circularity of multiple products in the oil palm industry.The circularity measurement results show that palm oil production is more circular rather than linear with the calculated MCI of 0.5372. The MCI value can be enhanced by increasing the fraction of recycling, reuse, and composting of the co-product,residual oil, and waste, and reducing wastes to landfills. The MCI value may also be improved by increasing the oil extraction rate and the calorific value of the biomass.This study contributes to the reduction of GHG emissions of FFB production and supports palm oil production and the use of oil palm resources efficiently. The measure of circularity in this study serves as a baseline for the oil palm industry to effectively palm for improvement in the future by increasing the oil extraction rate, recovering and reusing the residual oil, and making the most of ash.
DOI: 10.14457/tu.the.2020.1038
title: Speaker diarization in broadcast news

description: Speaker Diarization is a multimedia indexing technology that makes use of audio information to answer the question “Who spoke when?” This thesis presents a step-by-step speaker diarization system implemented in python-based that is evaluated using the Diarization Error Rate (DER) metric.The proposed system, designed for segmenting audio recordings of broadcast news provides implementations of a combination feature extraction based on Dense Convolutional Network (DenseNet) for segmenting the speech according to speaker idwith various background noise. This clustering algorithm offer lower DER as well as a the computational advantage compared to the other classifier. The proposed speaker diarization achieves a favorable performance on the Hollywood movie dataset, AVA speech dataset, CALL HOME American English, 2003 NIST Rich Transcription and the 2000 NIST Speaker Recognition Evaluation compared to the supervised speaker diarization of the speaker diarization with LSTM.
DOI: 10.14457/tu.the.2020.1039
title: Landslide detection from satellite imagery using change detection and machine learning

description: Landslide is one of the severe natural disasters. Landslide is a slipping of the fall of a soil mass and rock mass, the remains or mass disaster. The damage of landslides causes in extensive regions and especially in mountainous areas. Landslide monitoring are crucial for preventing and managing landslide-prone areas. This research explores the landslide detection scheme from satellite imagery by using change detection and machine learning techniques. It contains two main studies for landslide detection. The first study focuses on applying multi-temporal satellite images by using a change detection technique. In this study, the main objection is to reduce high computational costs and improve the robustness of the conventional method. The second one studies the effect of a combination of results from applying machine learning models in the performance of landslide detection in comparison with results from a sole model. Change detection using an adaptive k-means algorithm with a structural consistency map generated by a method based on the structural patch decomposition (SPD) is proposed to improve the conventional method. The conventional method applied k-means algorithm with principal component analysis (PCA) to detect changes of landslides in satellite images. The experiment results show that the proposed method is substantially better than the PCA-based method results. A significant improvement of the proposed method is when noise is added to input images. Pixel error rate, correctness, and robustness against noise addition are vital improvements. In addition, the proposed method computational time is 1.84 times faster.In a study on machine learning techniques, the Faster regions with convolutional neural networks (Faster R-CNN) with decision tree classification are used to detect landslides in a satellite image. This study aims to investigate a combination of information. The output-level combination fuses result from two Faster R-CNN models with a decision tree classification model applied on the RGB satellite images and their grayscale image of a digital elevation model (DEM). A decision tree classification model is trained by using a feature vector generated from the results of the two models to select a final landslide region. Experiment results show implementing output-level scheme improves prediction from a sole machine learning model.The input-level combination has two main experiments. Input images for training a model are generated by combining two types of images: RGB and DEM. This study improvement is comparable to the output-level combination. For the second study of the input-level combination, input images are constructed from the following matrices: RGB matrices, a matrix of normalized difference vegetation index (NDVI), and a matrix of a slope factor. Experiment results yield slight improvement compared to a sole RGB input image as a training dataset.
DOI: 10.6084/m9.figshare.19247994.v1
title: Vibrational Stark Spectroscopy of the C=O of acetyl chloride

description: The vibrational Stark spectra and data fitting of the C=O of acetyl chloride
DOI: 10.6084/m9.figshare.19247994
title: Vibrational Stark Spectroscopy of the C=O of acetyl chloride

description: The vibrational Stark spectra and data fitting of the C=O of acetyl chloride