cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2019.622
title: The impact of COVID-19 in tourism to Thailand: a study of impact from Thailand’s travel policies and regulations to its tourism sector

description: The coronavirus outbreak has hit many countries globally, especially in Asia, where tourism is a primary economic driver for the GDP. While nobody can predict when things turn back to normal, countries and destinations, have been starting to adapt to a new reality in travel. Specific executions, including new safety and hygiene policies, restrictions, and guidelines, have established to mitigate the impact of the pandemic as well as to be able to prepare when travel can be resumed again.Regarding the global situation, one of the countries which are getting the most impact, especially in the tourism sector from coronavirus is Thailand. Since the outbreak started to hit the region, Thailand was the first country where the virus had transported outside China in January 2020. The study revealed that after the policies and regulations related to travel and tourism began to take place in the country, particularly from the government and institutional level. It had a significant impact directly to the tourism industry in Thailand based on the data, findings, implications, and results of the study.
DOI: 10.14457/tu.the.2019.623
title: The pros and cons of enforcing compulsory travel health insurance coverage for all tourists visiting Thailand

description: This paper analyzes the pros and cons of enforcing travel health insurance coverage for all tourists visiting Thailand and how this would impact Thailand’s tourism sector. This analysis of enforcing travel health insurance coverage for all tourists visiting Thailand is conducted through the lens of public hospitals in Thailand. To begin to answer these questions and investigate the problems and practices, interview was conducted with the head of Vachira Phuket Hospital's International Department and Social Work Department, Police General Hospital in Bangkok. Travel insurance is highly recommended for all travelers as accidents and illnesses are often associated with risk of travel. The issue of tourists traveling to Thailand without travel insurance has a negative impact on public hospitals in Thailand, especially in the main tourist cities. Public hospitals are now shouldering large amounts of unpaid medical bills without any system for reimbursement. Enforcement of a compulsory insurance scheme will create more travel conditions and costs to the travelers but will reduce the burden of unpaid medical bills from uninsured tourists travelling in Thailand. It is unclear what tourism will look like in the short- to medium- term following the COVID-19 pandemic. Recommendations are made with a view to preparing Thailand's tourism industry for the long-term, once the country re-opens Thailand should take this opportunity to adopt the policy of compulsory insurance.
DOI: 10.14457/tu.the.2019.624
title: Digital solutionism in Southeast Asia: a study of technological responses to COVID-19 in Singapore, Thailand, and Vietnam

description: COVID-19, for many, is an opportunity to accelerate digitization and to increase the involvement of digital technology companies. Rhetoric and policies have emerged that treat digital technologies as pivotal to responding to the COVID-19 pandemic, but also in creating a post-COVID-19 world. Scholars such as Evgeny Morozov, however, question the validity of the underlying ideological framework and raise concerns for moving forward with an over-reliance on the private sector for technology and innovation as we know it. He critiques the ideological framework by describing it as technological solutionism, which refers to a belief that quick-win technology solutions such as simple mobile applications can solve complex social, economic, environmental and health challenges such as the current pandemic. This study examines how solutionism has shaped the technological response to COVID-19 in Southeast Asia by examining the case studies of Singapore, Thailand, and Vietnam.The first section of the study examines the relationship between technological solutionism and discourses on social development. It considers neoliberalism, data privacy and surveillance, inequality, and the dominant approaches to innovation. The paper examines how solutionism is a derivative of neoliberalism. As with the neoliberal market-based development approach, solutionism treats the market as the most effective pathway to solving global challenges. Consequently, dominant control over digital infrastructure and the monopoly status of giant technology corporations is legitimized. However, there are growing concerns on data privacy and civil liberties; increasing inequality; and society’s inability to innovate due to the lack of access to the necessary digital infrastructures, which are controlled by large technology businesses.The second part of the study examines the extent solutionism has been adopted by Singapore, Thailand, and Vietnam in the responses to the COVID-19, and the impact of such interventions. All three countries have been praised for their successes in curbing the spread of the pandemic and have been lauded for their use of digital technology. However, the study concludes that while the rhetoric for Singapore, Thailand, and Vietnam may differ, all three cases can attribute their success to strong central government planning and coordination, rather than from solutionism.Scholars such as Evgeny Morozov and Naomi Klein express concern over a world dominated by solutionism, especially after the pandemic. Based on this study, it is evident that these concerns are warranted if the focus is on the rhetoric of states and media outlets, but the case studies examined in this study indicates that solutionism may not be as prevalent or effective as many advocates and critics suggest. Solutionism, however, does appear as a powerful means to legitimize and extend state and corporate-led surveillance and privacy infringement practices.
DOI: 10.14457/tu.the.2019.626
title: การศึกษาเปรียบเทียบมาตรฐานการบัญชีฉบับที่ 17 เรื่อง สัญญาเช่า และมาตรฐานการรายงานทางการเงินฉบับที่ 16 เรื่อง สัญญาเช่า

description: สัญญาเช่า เป็นวิธีการหนึ่งในการจัดหาสินทรัพย์ของกิจการ และถือเป็นธุรกรรมที่มีความสำคัญของธุรกิจหลายประเภท ก่อนหน้าวันที่ 1 มกราคม พ.ศ. 2563 กิจการที่มีสัญญาเช่าจะต้องปฏิบัติตามมาตรฐานการบัญชีฉบับที่ 17 เรื่อง สัญญาเช่า จนเมื่อคณะกรรมการกำหนดมาตรฐานการบัญชีระหว่างประเทศและคณะกรรมการกำหนดมาตรฐานการรายงานทางการเงินของสหรัฐอเมริกาได้ร่วมกันพัฒนามาตรฐานการบัญชีเกี่ยวกับสัญญาเช่าขึ้นใหม่ ส่งผลให้เกิดมาตรฐานการรายงานทางการเงินฉบับที่ 16 เรื่อง สัญญาเช่าขึ้น ซึ่งมาตรฐานฉบับนี้ได้ถูกนำมาบังคับใช้ในประเทศไทยเมื่อวันที่ 1 มกราคม พ.ศ. 2563 การค้นคว้าอิสระในครั้งนี้ มุ่งเน้นที่จะศึกษาความแตกต่างของวิธีปฏิบัติทางบัญชีที่เกี่ยวข้องกับสัญญาเช่า ระหว่างมาตรฐานการบัญชีฉบับที่ 17 เรื่อง สัญญาเช่า และมาตรฐานการรายงานทางการเงินฉบับที่ 16 เรื่อง สัญญาเช่า ซึ่งผู้ศึกษาได้ค้นคว้าข้อมูลจากมาตรฐานการบัญชีและบทความต่าง ๆ และสรุปข้อมูลและนำเสนอผลการศึกษาในรูปแบบของการศึกษาเปรียบเทียบผลจากการค้นคว้าข้อมูลพบว่า มาตรฐานการรายงานทางการเงินฉบับที่ 16 เรื่องสัญญาเช่านั้น ในส่วนของผู้เช่าได้มีการยกเลิกการจัดประเภทของสัญญาเช่า และใช้วิธีปฏิบัติทางบัญชีวิธีเดียว (single lease accounting model) โดยรับรู้สินทรัพย์สิทธิการใช้และหนี้สินที่เกิดจากสัญญาเช่าในสัญญาเช่าทุกกรณี และในส่วนของผู้ให้เช่านั้น วิธีปฏิบัติส่วนใหญ่ยังคงไม่เปลี่ยนแปลงจากมาตรฐานการบัญชีฉบับที่ 17 เรื่อง สัญญาเช่าการเปลี่ยนแปลงดังกล่าวส่งผลให้สินทรัพย์และหนี้สินที่เกี่ยวข้องกับสัญญาเช่าในส่วนของผู้เช่าถูกรับรู้ในงบการเงิน ทำให้งบการเงินแสดงมูลค่าของสินทรัพย์และหนี้สินของกิจการได้อย่างถูกต้อง ซึ่งส่งผลให้ข้อมูลในงบการเงินนั้นมีความเป็นตัวแทนอันเที่ยงธรรม และอัตราส่วนทางการเงินของกิจการในส่วนของผู้เช่านั้นเป็นประโยชน์กับผู้ใช้งบการเงินมากยิ่งขึ้น
DOI: 10.6084/m9.figshare.13159784
title: Supplementary Material for: The Identification of Gene Expression Profiles Associated with Granulomatous Mastitis

description: <b><i>Background:</i></b> Granulomatous mastitis (GM) is a rare chronic inflammatory disease of the breast. The current therapeutic effects of the antibiotic therapy and surgical or immunomodulatory (steroid) treatment are normally poor due to the unclear etiology. <b><i>Method:</i></b> This study aimed to identify the differentially expressed mRNAs in GM tissues using RNA sequencing and further explored the functions of differentially expressed mRNAs resulting in GM. Moreover, we revealed the relationship between GM and breast cancer by shared highly expressed genes in GM tissues and breast cancer tissues. <b><i>Results:</i></b> A total of 12,115 mRNAs were analyzed in the whole expression profile, and 207 mRNAs (136 upregulated and 71 downregulated mRNAs) were differently expressed between the GM tissues and normal tissues. The enrichment analysis showed that the differentially expressed mRNAs were enriched in the biological processes and played a significant role in the immune system. Besides, the genes expressed significantly highly in breast cancer tissues are found to be enriched with GM genes, which may explain the similar clinical features between breast cancer and GM. We also found that the HSD11B1 gene which was differentially expressed in GM was used as drug target of prednisone, which is a common treatment for GM. <b><i>Conclusion:</i></b> This study is the first to use sequencing technology to elucidate the genetic mechanisms of GM. The finding of this study may have potential value in GM diagnosis and also provides potential drug targets for GM treatment.
DOI: 10.6084/m9.figshare.13159784.v1
title: Supplementary Material for: The Identification of Gene Expression Profiles Associated with Granulomatous Mastitis

description: <b><i>Background:</i></b> Granulomatous mastitis (GM) is a rare chronic inflammatory disease of the breast. The current therapeutic effects of the antibiotic therapy and surgical or immunomodulatory (steroid) treatment are normally poor due to the unclear etiology. <b><i>Method:</i></b> This study aimed to identify the differentially expressed mRNAs in GM tissues using RNA sequencing and further explored the functions of differentially expressed mRNAs resulting in GM. Moreover, we revealed the relationship between GM and breast cancer by shared highly expressed genes in GM tissues and breast cancer tissues. <b><i>Results:</i></b> A total of 12,115 mRNAs were analyzed in the whole expression profile, and 207 mRNAs (136 upregulated and 71 downregulated mRNAs) were differently expressed between the GM tissues and normal tissues. The enrichment analysis showed that the differentially expressed mRNAs were enriched in the biological processes and played a significant role in the immune system. Besides, the genes expressed significantly highly in breast cancer tissues are found to be enriched with GM genes, which may explain the similar clinical features between breast cancer and GM. We also found that the HSD11B1 gene which was differentially expressed in GM was used as drug target of prednisone, which is a common treatment for GM. <b><i>Conclusion:</i></b> This study is the first to use sequencing technology to elucidate the genetic mechanisms of GM. The finding of this study may have potential value in GM diagnosis and also provides potential drug targets for GM treatment.
DOI: 10.5517/ccdc.csd.cc1zhpbh
title: CCDC 1832327: Experimental Crystal Structure Determination

description: Related Article: Sajan Pradhan, Navya Chauhan, Chandan K. Shahi, Aditya Bhattacharyya, Manas K. Ghorai|2020|Org.Lett.|22|7903|doi:10.1021/acs.orglett.0c02801
DOI: 10.18112/openneuro.ds002748.v1.0.3
title: Resting state with closed eyes for patients with depression and healthy participants
DOI: 10.5517/ccdc.csd.cc20khsw
title: CCDC 1863868: Experimental Crystal Structure Determination

description: Related Article: Jerin Susan John, T. Arumanayagam, P. Murugakoothan, D. Sajan, Nithin Joy, Reji Philip|2018|CSD Communication|||
description: Related Article: D. Sajan|2021|J.Mol.Struct.|1224|129062|doi:10.1016/j.molstruc.2020.129062
description: Related Article: Jerin Susan John, T. Arumanayagam, P. Murugakoothan, D. Sajan, Nithin Joy, Reji Philip|2020|Opt.Mater.|110|110493|doi:10.1016/j.optmat.2020.110493
DOI: 10.5517/ccdc.csd.cc20bwt2
title: CCDC 1857514: Experimental Crystal Structure Determination

description: Related Article: Qian-Feng Qiu, Cheng-Xia Chen, Zheng Zeng, Zhang-Wen Wei, Neng-Xiu Zhu, Chen-Chen Cao, Wei Wang, Dawei Wang, Hai-Ping Wang, Ji-Jun Jiang|2020|Inorg.Chem.|59|14856|doi:10.1021/acs.inorgchem.0c02123
description: Related Article: Qianfeng QIU|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25f5d6
title: CCDC 2008657: Experimental Crystal Structure Determination

description: Related Article: David O'Hagan, Cihang Yu, Agnes Kütt, Gerd-Volker Röschenthaler, Tomas Lebl, David B. Cordes, Alexandra M. Z. Slawin, Michael Bűhl|2020|Angew.Chem.,Int.Ed.|59|19905|doi:10.1002/anie.202008662
DOI: 10.5517/ccdc.csd.cc25f5f7
title: CCDC 2008658: Experimental Crystal Structure Determination

description: Related Article: David O'Hagan, Cihang Yu, Agnes Kütt, Gerd-Volker Röschenthaler, Tomas Lebl, David B. Cordes, Alexandra M. Z. Slawin, Michael Bűhl|2020|Angew.Chem.,Int.Ed.|59|19905|doi:10.1002/anie.202008662
DOI: 10.5517/ccdc.csd.cc25f5g8
title: CCDC 2008659: Experimental Crystal Structure Determination

description: Related Article: David O'Hagan, Cihang Yu, Agnes Kütt, Gerd-Volker Röschenthaler, Tomas Lebl, David B. Cordes, Alexandra M. Z. Slawin, Michael Bűhl|2020|Angew.Chem.,Int.Ed.|59|19905|doi:10.1002/anie.202008662
DOI: 10.5517/ccdc.csd.cc25f5h9
title: CCDC 2008660: Experimental Crystal Structure Determination

description: Related Article: David O'Hagan, Cihang Yu, Agnes Kütt, Gerd-Volker Röschenthaler, Tomas Lebl, David B. Cordes, Alexandra M. Z. Slawin, Michael Bűhl|2020|Angew.Chem.,Int.Ed.|59|19905|doi:10.1002/anie.202008662
DOI: 10.17632/57f7j7rhgg.3
title: Data for: A general model for predicting the airflow rates of a vertically installed solar chimney with connecting ducts

description: Contains the excutable file for the calculation of solar chimney airflow rates. It applies to the vertical, square type of solar chimneys. Contains 15 datasets of solar chimney experimental data from 9 references, which were used in this study to calibration and validate the plume model developed. Contains the 15 datasets of solar chimney experimental data from 9 references. Contains the model predictions by the model for the 15 datasets.
DOI: 10.17632/wv8pvzwfyw.2
title: Dataset on the incidents involving brown howlers (Alouatta guariba clamitans) in the peri-urban landscape of southern Brazil

description: Here we present data on &gt;22 years of records on the main incidents involving free-ranging brown howlers in two states of southern Brazil: Rio Grande do Sul and Santa Catarina. Overall, we obtained 423 incidents (SC=218 and RS=205). This information was used to write the manuscript: Chaves, Ó. M., Souza, J. C., Buss, G., Bicca-Marques, J. C., Hirano, Z.M.B., Amaral, E. L.S., Godoy, J.C., Jardim, M.M.A., A.R. Peruchi, Michel, T & J.C. Bicca-Marques. (2020). Assessing the threats for wildlife in peri-urban landscapes of southern Brazil: the case of brown howler monkeys. Attached the following documents; 1) dataset on all incidents (including runover, electrocution, dog-attack, and mistreatments), 2) dataset used asses the main drivers of the event lethality, and 3) a legal document on the economic costs associated to the maintenance of injured monkeys in captivity.
DOI: 10.17632/b7bc9y232m.3
title: Data Acquired by a Single Object Sensor (IMU) of Table Tennis Forehand Strokes

description: The sensory data were collected from a total of 16 Table Tennis players mixed gender, aged between 19 and 38 years, who used the IMU mounted Racket. We considered the Basic, Topspin, and Push as the sample type of performed Forehand strokes. The Table Tennis Forehand strokes quality evaluation values were collected from a total of 3 Table Tennis highly educated and ranked coaches who manually scored the performed strokes based on the experiment evaluation metrics. The players used the IMU mounted racket when samples were collecting. Each subject's performance was evaluated, scored, and labeled by the coaches who placed around Table Tennis's table. Acquiring simultaneously by the Racket, the strokes' evaluation metrics values, and their labels, each player carried out a predetermined stroke performing protocols when data was gathering. Capturing order of the samples are: 1) the players started performing strokes, 2) paused for five seconds by the coaches at the end of each stroke performing, 3) stored the sensory data by the software into a single CSV file, 4) labeled and scored the players' performance by the coaches manually.
DOI: 10.21227/fp2f-wr45
title: Model 5

description: Building up on top of model 4 but considering also data from meters that started in December.
DOI: 10.5281/zenodo.4113243
title: Transmission Electron Microscopy Dataset for Image Deblurring

description: The dataset consists of images corrupted by motion blur together with corresponding high-quality images from two different samples, one of thin sectioned kidney tissue and one of a calibration grid. The data was collected using a MiniTEM microscope (Vironova AB). The motion corrupted images are created by moving the sample under the microscope. Each low-quality (motion blurry) imaging sequence has corresponding high-quality images (captured by stopping the microscope at each position in the sequence). The high-quality frames have a size of 2048 x 2048 pixels with an overlap of 50% between adjacent frames. The low-quality (motion blurry) frames are captured with a size of 1024x1024 with the same motion direction (approximately vertically upwards). All images were captured at a field of view of 32μm, and with a per image exposure time of 15ms and stored as 16 bit tiff files. Both samples are imaged with the same settings and have four imaging sequences each. The dataset contains the raw image files as well as a partitioning into training, validation and testing. For these images, five low-quality images have been registered to each high-quality image. For the five registered images the intersection of all is cropped and stored. 1 of the 4 imaging sequences are chosen as the test set and the last part of another of the imaging sequences as a validation set. The rest is put in the training set. <em><strong>Folder Structures:</strong></em> <strong>Raw data:</strong> Raw data is the unprocessed data and each sample folder contains 4 image sequences. In each of these folders low-quality (motion blurry) images are stored in folder “Low” and corresponding high-quality images are stored in “GT” <strong>TrainValTest:</strong> TrainValTest consist of data where the low-quality frames have been registered to the high-quality frames and divided into a training, validation and test set. Each of the Train, Val, Test folders contains 3 subfolders. “Low” contains folders names the same as the files in “GT” where each folder contains five low-quality (motion blurry) images, registered the that corresponding high-quality image. “GT” contains the corresponding high-quality images down sampled to the same spatial size as the low-quality images. “GT_hr” contains the same images as “GT” but not down sampled.
description: Financially supported by the Swedish Foundation for Strategic Research (grant BD150008), the European Research Council (grant ERC2015CoG 682810), and the Uppsala University AI4Research initiative. Data collected at, and in collaboration with, Vironova AB, Stockholm, Sweden
DOI: 10.6084/m9.figshare.12768335.v5
title: Supplementary material associated with the paper "Nonsubsampled Contourlet Transform Based Tone mapping operator to optimize the dynamic range of diatom shells", H. Singh et al, J. Appl. Phycology (2020)

description: HDR datasets of different diatoms captured with brightfield and darkfield illumination
DOI: 10.5281/zenodo.4138944
title: Dataset for semantic segmentation of the laboratory model of manufacturing environment

description: This dataset includes images and labels used for semantic segmentation of the laboratory model of the manufacturing environment, at the University of Belgrade - Faculty of Mechanical Engineering. The dataset is gathered by using mobile robot RAICO (Robot with Artificial Intelligence based COgnition) and its stereo visual system made from two Basler acA1920-25uc cameras with Fujinon lens DF6HA-1B. The dataset includes close to 430 images with a resolution of 640x360. Images are acquired by both cameras at different mobile robot poses in the laboratory model of a manufacturing environment. Five classes are introduced in the dataset, machines 1 to 4, and a background class. The exact names of the classes are: classNames = ["Machine_1", "Machine_2", "Machine_3", "Machine_4", "Background"]; while the labels of the classes (RGB values of label images) are: labelIDs = [ ...<br> 000 000 255; ... % "Machine 1"<br> 000 255 255; ... % "Machine 2"<br> 255 255 000; ... % "Machine 3"<br> 255 000 000; ... % "Machine 4"<br> 255 255 255; ... % "Background"<br> ]; Image and label pairs are entitled 1 to 430, and e.g. label 5 corresponds to images 5. This dataset was developed with the support of the Science Fund of the Republic of Serbia, Grant No. 6523109, AI - MISSION4.0, 2020-2022.
DOI: 10.5281/zenodo.4138943
title: Dataset for semantic segmentation of the laboratory model of manufacturing environment

description: This dataset includes images and labels used for semantic segmentation of the laboratory model of the manufacturing environment, at the University of Belgrade - Faculty of Mechanical Engineering. The dataset is gathered by using mobile robot RAICO (Robot with Artificial Intelligence based COgnition) and its stereo visual system made from two Basler acA1920-25uc cameras with Fujinon lens DF6HA-1B. The dataset includes close to 430 images with a resolution of 640x360. Images are acquired by both cameras at different mobile robot poses in the laboratory model of a manufacturing environment. Five classes are introduced in the dataset, machines 1 to 4, and a background class. The exact names of the classes are: classNames = ["Machine_1", "Machine_2", "Machine_3", "Machine_4", "Background"]; while the labels of the classes (RGB values of label images) are: labelIDs = [ ...<br> 000 000 255; ... % "Machine 1"<br> 000 255 255; ... % "Machine 2"<br> 255 255 000; ... % "Machine 3"<br> 255 000 000; ... % "Machine 4"<br> 255 255 255; ... % "Background"<br> ]; Image and label pairs are entitled 1 to 430, and e.g. label 5 corresponds to images 5. This dataset was developed with the support of the Science Fund of the Republic of Serbia, Grant No. 6523109, AI - MISSION4.0, 2020-2022.
DOI: 10.5517/ccdc.csd.cc25slq9
title: CCDC 2019641: Experimental Crystal Structure Determination

description: Related Article: Kelu Yan, Min Liu, Jiangwei Wen, Shao Wang, Jing Li, Hua Wang|2020|Org.Lett.|22|7825|doi:10.1021/acs.orglett.0c02703
DOI: 10.5281/zenodo.4153167
title: South African Higher Education Performance Data 2009 to 2016

description: Student, staff, research and financial data for South African universities for the period 2009 to 2016.
DOI: 10.5281/zenodo.4153166
title: South African Higher Education Performance Data 2009 to 2016

description: Student, staff, research and financial data for South African universities for the period 2009 to 2016.
DOI: 10.5281/zenodo.4153181
title: Performance Indicator Data for Eight Research Universities in Africa 2001 to 2015

description: Student, staff and research performance indicator data for eight research universities in Africa from 2001 to 2015, collected by the Higher Education Research and Advocacy Network for Africa (HERANA), a project of the Centre for Higher Education Trust (CHET).
DOI: 10.5281/zenodo.4153180
title: Performance Indicator Data for Eight Research Universities in Africa 2001 to 2015

description: Student, staff and research performance indicator data for eight research universities in Africa from 2001 to 2015, collected by the Higher Education Research and Advocacy Network for Africa (HERANA), a project of the Centre for Higher Education Trust (CHET).