cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14361149
title: What is in the pus? Antibiotic resistance in patients with chronic ear discharge awaiting surgery in Nepal

description: Abstract Setting: Biratnagar eye hospital, Nepal that offers ear surgery for Chronic Suppurative Otitis Media (CSOM). Objective: In CSOM patients awaiting surgery, to determine the 1) socio-demographic characteristics 2) bacterial isolates and their antibiotic resistance patterns, and 3) characteristics of those who were refused for surgery and associated risk factors.Design: A cohort study using hospital data (January 2018-January 2020).<br>Results: Of 117 patients with CSOM and awaiting surgery, 64% were in the 18-35 age group, and 79% were cross-border from India. Of 118 bacterial isolates, 80% were Pseudomonas aeruginosa and 16% were Staphylococcus aureus. All isolates showed Multidrug-resistance to nine of the 12 antibiotics tested. The lowest antibiotic resistance in Pseudomonas aeruginosa was for vancomycin (29%) and moxifloxacin (36%) and for Staphylococcus aureus, vancomycin (9%), and amikacin (17%).Fourteen (12%) patients underwent surgery: seven (50%) myringoplasty, four (29%) cortical mastoidectomy with tympanostomy, and three (21%) modified radical mastoidectomy. Those infected with Pseudomonas aeruginosa and with resistance to over six antibiotics were significantly more, likely to be refused for surgery.<br>Conclusion: Patients awaiting ear surgery were predominantly infected with multidrug-resistant Pseudomonas aeruginosa and consequently refused surgery. This study can help to inform efforts for improving surgical uptake and for introducing cross-border surveillance for antimicrobial resistance.
DOI: 10.6084/m9.figshare.14361149.v1
title: What is in the pus? Antibiotic resistance in patients with chronic ear discharge awaiting surgery in Nepal

description: Abstract Setting: Biratnagar eye hospital, Nepal that offers ear surgery for Chronic Suppurative Otitis Media (CSOM). Objective: In CSOM patients awaiting surgery, to determine the 1) socio-demographic characteristics 2) bacterial isolates and their antibiotic resistance patterns, and 3) characteristics of those who were refused for surgery and associated risk factors.Design: A cohort study using hospital data (January 2018-January 2020).<br>Results: Of 117 patients with CSOM and awaiting surgery, 64% were in the 18-35 age group, and 79% were cross-border from India. Of 118 bacterial isolates, 80% were Pseudomonas aeruginosa and 16% were Staphylococcus aureus. All isolates showed Multidrug-resistance to nine of the 12 antibiotics tested. The lowest antibiotic resistance in Pseudomonas aeruginosa was for vancomycin (29%) and moxifloxacin (36%) and for Staphylococcus aureus, vancomycin (9%), and amikacin (17%).Fourteen (12%) patients underwent surgery: seven (50%) myringoplasty, four (29%) cortical mastoidectomy with tympanostomy, and three (21%) modified radical mastoidectomy. Those infected with Pseudomonas aeruginosa and with resistance to over six antibiotics were significantly more, likely to be refused for surgery.<br>Conclusion: Patients awaiting ear surgery were predominantly infected with multidrug-resistant Pseudomonas aeruginosa and consequently refused surgery. This study can help to inform efforts for improving surgical uptake and for introducing cross-border surveillance for antimicrobial resistance.
DOI: 10.14457/nu.res.2021.1
title: Approaches To Customer Data Management And Knowledge Discovery In Small Retail Analytics: The Case Of A Tiny Coffee Shop Inbangkok, Thailand

description: Although coffee shop is the highest competition comparing to others in Thailand for the past four years, only 10% of all new restaurants are success. To increase a success rate, data as an important resource needs to be significantly used to increase sales and maintain advantages. However, complications of data processing and lacking analytical models are common challenges to small businesses management as it requires huge investment on data management system. This study proposed data management framework as economically solutions to processing existing customer data into actions. Data from the tiny coffee shop in Bangkok as our case study are used for illustration. In data management, existing data were designed to combine all daily transactions into one structural file by using python script and use it as a data source for reporting. As of reporting, LINE chatbot was selected as a channel to send quick reports and analytic results of co-occurrence items, and Dashboards with interactive filtering ability via Power BI are employed for detailing sale information. These approaches can help owners to have deep understanding on sale and customer data which leads to better profits, and be applied to any retails that face with similar issues of customer analytics.
DOI: 10.6084/m9.figshare.9198773.v2
title: BMXS dataset and code

description: Including a training set, a test set, source code and some image examples of test set. The training set and test set are stored in the Data folder and are given in tfrecord format. AlexNet.py is the codes file of model training. test.py is the codes file of model test. <br>
DOI: 10.5517/ccdc.csd.cc279kfk
title: CCDC 2064768: Experimental Crystal Structure Determination

description: Related Article: Jindian Duan, Yiyang Mao, Anmei Xian, Binsen Rong, Gaochen Xu, Zhenjiang Li, Lili Zhao, Ning Zhu, Kai Guo|2021|Chem.Commun.|57|3379|doi:10.1039/D0CC07995B
DOI: 10.5517/ccdc.csd.cc26qvzs
title: CCDC 2047766: Experimental Crystal Structure Determination

description: Related Article: Marta Orts-Arroyo, Renato Rabelo, Ainoa Carrasco-Berlanga, Nicolás Moliner, Joan Cano, Miguel Julve, Francesc Lloret, Giovanni De Munno, Rafael Ruiz-García, Júlia Mayans, José Martínez-Lillo, Isabel Castro|2021|Dalton Trans.|50|3801|doi:10.1039/D1DT00462J
DOI: 10.5517/ccdc.csd.cc27dmny
title: CCDC 2067720: Experimental Crystal Structure Determination

description: Related Article: Xiaobo Pang, Zhen-Zhen Zhao, Xiao-Xue Wei, Liangliang Qi, Guang-Li Xu, Jicheng Duan, Xue-Yuan Liu, Xing-Zhong Shu|2021|J.Am.Chem.Soc.|143|4536|doi:10.1021/jacs.1c00142
DOI: 10.5517/ccdc.csd.cc26fc01
title: CCDC 2038622: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5281/zenodo.4659615
title: Biomarker and carbon isotopic evidence of marginal marine conditions in the Himalayan Foreland Basin during its overfilled stage

description: The supporting tables provide an overview of the n-alkane and biomarker proxy ratios used to ascertain the organic sources and paleo-depositional conditions in the Tista valley sample in the eastern Himalayan foreland basin. A table has also been provided that show the biomarkers (hopane and steranes) that are identified in the Tista valley samples. Additionally, there are three consecutive tables that show temporal n-alkane, biomarker and d13C distribution in the sample.
DOI: 10.14457/cu.the.1981.4
title: ความต้องการทางด้านสุขภาพอนามัยของผู้สูงอายุ
DOI: 10.6084/m9.figshare.14363276
title: Data for Di Muro et al. (2021) Volcanica paper

description: This data repository contains text files containing the raw data from the uniaxial compressive strength tests performed at University of Strasbourg (France).<br>Explanation of the file names:uni - uniaxialLetters indicate the sampleNumber indicates the sample numberd - dry experiment<br>Explanation of the raw data:Temps - time in secondssigV - axial stress in MPaDefcapt - axial strain from LVDTDefax - axial strain from strain gauge (not used)Defrad - radial strain from strain gauge (not used)<br>Defvol - volumetric strain from strain gauge (not used)<br>Deplctcapt - axial displacement in microns
DOI: 10.5281/zenodo.4659647
title: data set related to article Reorganization of action observation and sensory-motor networks after action observation therapy in children with congenital hemiplegia: A pilot study

description: This article contains raw data related to article Reorganization of action observation and sensory-motor networks after action observation therapy in children with congenital hemiplegia: A pilot study
DOI: 10.5281/zenodo.4659646
title: data set related to article Reorganization of action observation and sensory-motor networks after action observation therapy in children with congenital hemiplegia: A pilot study

description: This article contains raw data related to article Reorganization of action observation and sensory-motor networks after action observation therapy in children with congenital hemiplegia: A pilot study
DOI: 10.6084/m9.figshare.14363303
title: Source Data File 20210402.xlsx

description: Source Data File 20210402.xlsx
DOI: 10.5281/zenodo.4045607
title: Images for titin-N2A Ig81-Ig83 pdb 7AHS

description: .cbf images that pdb entry 7HAS was calculated from. Dear method developers if required I have S-SAD and multiple datasets from this and other crystals of the same protein also available please contact me if you think this would be interesting to you.
DOI: 10.6084/m9.figshare.14350562
title: Surface temperature data for the study area of each hydropower station in dry-hot and non-dry-hot valleys

description: The dataset includes the temperature data of each hydropower station in different seasons and the daily surface temperature data at an elevation of 0 cm. The temperature data of hydropower stations is the surface temperature data of the study area in the wet season and the dry season before and after the construction of each hydropower station. The hydropower stations include Liyuan hydropower station and Ahai hydropower station in the dry-hot valley, Jinghong hydropower station and Laxiwa hydropower station in non-dry-hot valley. Based on the Landsat thermal infrared data, the surface temperature data were retrieved by atmospheric correction method. The data is used to calculate the temperature difference (relative temperature) between the reservoir and the downstream river of the dam and the temperature difference between the reservoir and the surrounding area. the daily surface temperature data at an elevation of 0 cm belongs to meteorological station data, which comes from China Meteorological data network. It was used to verify the accuracy of temperature inversion and calculate the annual average temperature of each study area in 2003, 2004, 2005, 2017, 2018 and 2019.
DOI: 10.6084/m9.figshare.14350562.v1
title: Surface temperature data for the study area of each hydropower station in dry-hot and non-dry-hot valleys

description: The dataset includes the temperature data of each hydropower station in different seasons and the daily surface temperature data at an elevation of 0 cm. The temperature data of hydropower stations is the surface temperature data of the study area in the wet season and the dry season before and after the construction of each hydropower station. The hydropower stations include Liyuan hydropower station and Ahai hydropower station in the dry-hot valley, Jinghong hydropower station and Laxiwa hydropower station in non-dry-hot valley. Based on the Landsat thermal infrared data, the surface temperature data were retrieved by atmospheric correction method. The data is used to calculate the temperature difference (relative temperature) between the reservoir and the downstream river of the dam and the temperature difference between the reservoir and the surrounding area. the daily surface temperature data at an elevation of 0 cm belongs to meteorological station data, which comes from China Meteorological data network. It was used to verify the accuracy of temperature inversion and calculate the annual average temperature of each study area in 2003, 2004, 2005, 2017, 2018 and 2019.
DOI: 10.5281/zenodo.4659663
title: data set related to article Evaluation of Chromosome Microarray Analysis in a Large Cohort of Females with Autism Spectrum Disorders: A Single Center Italian Study

description: <pre>This record contains raw data related to article Evaluation of chromosome microarray analysis in a large cohort of females with autism spectrum disorders: A single center Italian study </pre>
DOI: 10.5281/zenodo.4659662
title: data set related to article Evaluation of Chromosome Microarray Analysis in a Large Cohort of Females with Autism Spectrum Disorders: A Single Center Italian Study

description: <pre>This record contains raw data related to article Evaluation of chromosome microarray analysis in a large cohort of females with autism spectrum disorders: A single center Italian study </pre>
DOI: 10.5517/ccdc.csd.cc26fbxx
title: CCDC 2038619: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fbww
title: CCDC 2038618: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fc12
title: CCDC 2038623: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fbzz
title: CCDC 2038621: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fbtt
title: CCDC 2038616: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fbss
title: CCDC 2038615: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fbyy
title: CCDC 2038620: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5517/ccdc.csd.cc26fbvv
title: CCDC 2038617: Experimental Crystal Structure Determination

description: Related Article: Orlando Santoro, Mark R. J. Elsegood, Simon J. Teat, Takehiko Yamato, Carl Redshaw|2021|RSC Advances|11|11304|doi:10.1039/D1RA00175B
DOI: 10.5281/zenodo.4659726
title: Australian Electricity Demand Dataset

description: This dataset contains 5 time series representing the half hourly electricity demand of 5 states in Australia: Victoria, New South Wales, Queensland, Tasmania and South Australia. It was extracted from R tsibbledata package.
description: {"references": ["O'Hara-Wild, M., Hyndman, R., Wang, E., 2021. tsibbledata: Diverse Datasets for 'tsibble'. R package version 0.3.0. https://CRAN.R-project.org/package=tsibbledata"]}
DOI: 10.14457/cu.the.1982.1
title: การยอมรับนวัตกรรมทางการศึกษาของครูประถมศึกษาในจังหวัดลพบุรี
DOI: 10.21227/39pw-2876
title: Forecast for February 04

description: Forecast for February 04
DOI: 10.5281/zenodo.4632495
title: Supernova Neutrino Light Curves from Cooling of High/Low-Mass Proto-Neutron Stars

description: We present the model spectra of neutrinos emitted from proto-neutron star (PNS) cooling used in Suwa et al., Astrophys. J. <strong>881</strong> (2019) 139, arXiv:1904.09996 [astro-ph.HE]. So as to obtain the time evolution of neutrino spectra, PNS cooling simulations are performed from some initial conditions with different baryon masses and entropy profiles. The data names are as below: spectobHmaxS.data: \(M_b = 2.35M_\odot (M_{\rm NS, g}=2.05M_\odot)\), <strong>High</strong> initial entropy spectobHminS.data: \(M_b = 1.29M_\odot (M_{\rm NS, g}=1.20M_\odot)\), <strong>High</strong> initial entropy spectobLmaxS.data: \(M_b = 2.35M_\odot (M_{\rm NS, g}=2.05M_\odot)\), <strong>Low </strong>initial entropy spectobLminS.data: \(M_b = 1.29M_\odot (M_{\rm NS, g}=1.20M_\odot)\), <strong>Low</strong> initial entropy where \(M_b\) is the baryon mass of PNS and \(M_{\rm NS, g}\) is the gravitational mass of the remnant neutron star. The format of these data is the same with that of Supernova Neutrino Database. See also readme.pdf
description: {"references": ["Suwa et al., Astrophys. J. 881 (2019) 139, arXiv:1904.09996 [astro-ph.HE]"]}
DOI: 10.5281/zenodo.4632494
title: Supernova Neutrino Light Curves from Cooling of High/Low-Mass Proto-Neutron Stars

description: We present the model spectra of neutrinos emitted from proto-neutron star (PNS) cooling used in Suwa et al., Astrophys. J. <strong>881</strong> (2019) 139, arXiv:1904.09996 [astro-ph.HE]. So as to obtain the time evolution of neutrino spectra, PNS cooling simulations are performed from some initial conditions with different baryon masses and entropy profiles. The data names are as below: spectobHmaxS.data: \(M_b = 2.35M_\odot (M_{\rm NS, g}=2.05M_\odot)\), <strong>High</strong> initial entropy spectobHminS.data: \(M_b = 1.29M_\odot (M_{\rm NS, g}=1.20M_\odot)\), <strong>High</strong> initial entropy spectobLmaxS.data: \(M_b = 2.35M_\odot (M_{\rm NS, g}=2.05M_\odot)\), <strong>Low </strong>initial entropy spectobLminS.data: \(M_b = 1.29M_\odot (M_{\rm NS, g}=1.20M_\odot)\), <strong>Low</strong> initial entropy where \(M_b\) is the baryon mass of PNS and \(M_{\rm NS, g}\) is the gravitational mass of the remnant neutron star. The format of these data is the same with that of Supernova Neutrino Database. See also readme.pdf
description: {"references": ["Suwa et al., Astrophys. J. 881 (2019) 139, arXiv:1904.09996 [astro-ph.HE]"]}
DOI: 10.14457/nu.res.2021.2
title: Communication Strategies Of Natural Resources And Environmental Protection Volunteer (Nev) To Drive Low Carbon Community: A Case Study Of Ban Tor Phae, Khun Yuam District, Mae Hong Son Province

description: This research aims to: 1) examine activities initiated by the NEV, including analyze the amount of carbon storage and greenhouse gases reduction
description: and 2) raise awareness and analyze the communication strategies. Participatory action research was employed together with in-depth interview and focus group discussion. The results found that the NEV initiated activities following the low carbon city strategy: 1) City of Trees, trees planting and forest ordination
description: 2) City of Waste Minimization, managing waste from its source, waste sorting, making use of waste and plowing agricultural residues
description: 3) City of Energy Efficiency, having the idea of using solar energy
description: and 4) City of sustainable consumption, growing vegetables in the household and producing food ingredients to reduce travel outside the community. From the calculation, 20 square meters of community forest could store 10.373 tCO2e, waste management and sustainable consumption promotion could reduce greenhouse gases by 445.18 KgCO2e.Communication strategies to achieve low carbon community were: 1) creating awareness of the NEV to understand ways to support low carbon community, and clearly communicate benefits to local people for continuous participation
description: 2) using local language
description: 3) employing the easily accessible media
description: and 4) communicating contents that links environmental issues with local health and tourism.
DOI: 10.14457/nu.res.2021.3
title: Factors Affecting Use Of Gamification By Undergraduate Student

description: Gamification uses techniques in the form of games without using the game itself. To be something that helps to motivate and motivate learners. Engage learners in learning in a fun way. Simple to use game mechanics as operators. Gamification attracts the learners to develop behavioral checks, improve and find solutions to problems. The objectives of this research were 1) to study the factors that influenced the use of business simulation game by the undergraduate students in Business Computer 2) to study the relationship between perceived usefulness, perceived ease of use, and perceived enjoyment towards attitude to use business simulation game, and 3) to study the attitude to use towards the behavioral intention to use business simulation game strongest determinants that influenced the students' attitude to use business simulation game. Fifty-eight NU undergraduate business computer students enroll the course 231461 Enterprise Systems in Term 1 in 2019 to answer 58 questionnaires. Data analysis used percentage, mean and standard deviation to test the hypothesis with Pearson Product Moment Correlation Coefficients and multiple regression. This study showed that the acceptance factors of using computer game simulating business situations affecting 4th-year undergraduate students' attitude in business computerfaculty of Business Administration Economics and Communication Naresuan University at a high level. Perceptions and attitudes in using business simulation computer games significantly related at the level 0.01 level and attitudes towards use influenced behavioral intention in using simulation computer games. Business with a significant level of 0.01
DOI: 10.14457/nu.res.2021.4
title: Improving The Capacity Of The State Audit Office Of The Kingdom Of Thailand

description: During the Covid-19 pandemic, the State Audit Office of the Kingdom of Thailand (SAO) was considerably affected by the lockdown policy. As auditors cannot carry out audits normally, they need some approaches to help them maintain their obligation. Fortunately, the advancement of science and technologies provides opportunities to mitigate this threat. Therefore, the objective of this paper is to emphasize the importance of disruptive technologies on a public audit by illustrating how it affects SAO and the Supreme Audit Institution (SAI) community. Cutting-edge technologies like AI, Blockchain and 5G are increasingly adopted into audit works by many SAIs. Likewise, the SAO has also been introduced to the new audit techniques such as a remote audit and a real-time audit during this period. Additionally, this paper provides an approach to cultivate auditors of the future who possess strategic thinking, digital analytics, and soft skills as suggested in the Moscow Declaration. The last part is to discuss the way forward including recommendations for improving the SAO, international perspectives, and proper application.
DOI: 10.14457/nu.res.2021.5
title: Production Process Quality Management Strategies With Digital Technology Of Ready-To-Eat Food Industry In Global Emergency Situation

description: This study was conducted as a qualitative research-based analysis.It has the following objectives
description: one is to examine production process quality management of the ready-to-eat food production in global emergency situation. The second is to arrive at a strategy to quality manage the production process with the use of digital technology. The research was conducted by using an in-depth study of a ready-to-eat food company that has recorded the highest related revenue in Thailand. Research tools employed were interviews, voice recording, software packages for analyzing qualitative data. Data were collected from study activities and in-depth interviews. The findings were as follows
description: 1) the three case studies companies use digital technology in production process quality management. 2) the companies can devise a strategy to lower its production cost, reduced production time, reduce the error rate and resulting in higher quality and safety products as well which enable the company to deliver the highest value to its organization in the manufacture of products to the customers. Moreover, the company build trust in cleanliness and safety for businesses to survive this global emergency.