cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4434461
title: Immunofluorescence staining of a human kidney (#2, peri-tumor area) obtained by MELC

description: 19 marker MELC run in a human peri-tumor kidney sample (#2). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.5281/zenodo.4434504
title: Immunofluorescence staining of a human kidney (#3, peri-tumor area) obtained by MELC

description: 19 marker MELC run in a human peri-tumor kidney sample (#3). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.5281/zenodo.4434545
title: Immunofluorescence staining of a human kidney (#4, peri-tumor area) obtained by MELC

description: 19 marker MELC run in a human peri-tumor kidney sample (#4). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.5281/zenodo.4434503
title: Immunofluorescence staining of a human kidney (#3, peri-tumor area) obtained by MELC

description: 19 marker MELC run in a human peri-tumor kidney sample (#3). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.5281/zenodo.4434544
title: Immunofluorescence staining of a human kidney (#4, peri-tumor area) obtained by MELC

description: 19 marker MELC run in a human peri-tumor kidney sample (#4). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.5281/zenodo.4434522
title: Immunofluorescence staining of a human kidney (#3, tumor area) obtained by MELC

description: 19 marker MELC run in a human tumor kidney sample (#3). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.5281/zenodo.4434521
title: Immunofluorescence staining of a human kidney (#3, tumor area) obtained by MELC

description: 19 marker MELC run in a human tumor kidney sample (#3). Each image shows the same field of view, sequentially stained with the depicted fluorescence labelled antibodies. Images contain 2024 x 2024 pixels and are generated using an inverted wide field fluorescence microscope with a 20 x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Scale bar 100 µm. All raw images were aligned based on the reference phase contrast image taken at the beginning of measurement. Each fluorescence MELC image was processed by background subtraction and illumination correction, based on bleaching images. Then an “Extended Depth of Field” algorithm was applied to the 3D fluorescence stack in each cycle. Images were at last normalized in ImageJ, where a rolling ball algorithm was used for background estimation, edges were removed (accounting for the maximum allowed shift during the autofocus procedure) and fluorescence intensities were stretched to the full intensity range (16 bit -&gt; 2<sup>16</sup>).
DOI: 10.6084/m9.figshare.13564823
title: MTBLS1684 MSDIAL PeakLists

description: Individual peak list for 499 LCMS data files from the EBI Metabolights Study MTBLS1684. Peak lists were generated by the MS-DIAL software.
DOI: 10.5281/zenodo.4434645
title: Data and code - Reproducibility improves exponentially over 63 years of research - Minocher et al. 2020

description: Data and code to reproduce analyses in the publication - Minocher, et al. "Reproducibility improves exponentially over 63 years of social learning research". This repository is maintained at github https://github.com/rianaminocher/reproducibility-analysis.
DOI: 10.5281/zenodo.4434644
title: Data and code - Reproducibility improves exponentially over 63 years of research - Minocher et al. 2020

description: Data and code to reproduce analyses in the publication - Minocher, et al. "Reproducibility improves exponentially over 63 years of social learning research". This repository is maintained at github https://github.com/rianaminocher/reproducibility-analysis.
DOI: 10.6084/m9.figshare.13564826.v1
title: GL-protocol-page-1-template

description: For use with this page: https://hackmd.io/@astrobiomike/rendering-markdown-as-pdf
DOI: 10.6084/m9.figshare.13564838.v1
title: MS DIAL Peak Table for MTBLS1684

description: MS DIAL generated peak table (aligned) for MTBLS1684 dataset.
DOI: 10.6084/m9.figshare.13564838
title: MS DIAL Peak Table for MTBLS1684

description: MS DIAL generated peak table (aligned) for MTBLS1684 dataset.
DOI: 10.3886/e130561
title: covid-19 data sharing

description: Prospective cohort hospital-based study on 539 individuals suspected to carry SARS-COV-2
DOI: 10.3886/e130561v1
title: covid-19 data sharing

description: Prospective cohort hospital-based study on 539 individuals suspected to carry SARS-COV-2
DOI: 10.3886/e130422v1-73442
title: COVID-19 Vaccine Hesitancy Surveys

description: Assessing the prevalence of COVID-19 vaccine hesitancy before and during vaccine rollout in the United States, China, Taiwan, Indonesia, India, and Malaysia. Cross-sectional surveys were administered starting in March 2020 in the United States and China. Additional surveys were administered in Taiwan, Indonesia, India, and Malaysia starting in August 2020. The information in this deposit includes data collected in March, June, August, and November 2020, along with a codebook explaining how each of the variables in the datasets were derived from each survey.
DOI: 10.3886/e130404
title: The mortality impacts of current and planned coal-fired power plants in India

description: We examine the health implications of electricity generation from the 2018 stock of coal-fired power plants in India, as well as the health impacts of the expansion in coal-fired generation capacity expected to occur by 2030. We estimate emissions of SO2, NOX and PM2.5 for each plant, and use a chemical transport model to estimate the impact of power plant emissions on ambient PM2.5. Concentration-response functions from the 2019 GBD are used to project the impacts of changes in PM2.5 on mortality. Current plus planned plants will contribute, on average, 13% of ambient PM2.5 in India. This reflects large absolute contributions to PM2.5 in central India and parts of the Indo-Gangetic plain (up to 20μg/m3). In the south of India, coal-fired power plants account for 20% to 25% of ambient PM2.5. We estimate 112,000 deaths are attributable annually to current plus planned coal-fired power plants. Not building planned plants would avoid at least 844,000 premature deaths over the life of these plants. Imposing a tax on electricity that reflects these local health benefits would incentivize the adoption of renewable energy.<br>
DOI: 10.3886/e130404v1
title: The mortality impacts of current and planned coal-fired power plants in India

description: We examine the health implications of electricity generation from the 2018 stock of coal-fired power plants in India, as well as the health impacts of the expansion in coal-fired generation capacity expected to occur by 2030. We estimate emissions of SO2, NOX and PM2.5 for each plant, and use a chemical transport model to estimate the impact of power plant emissions on ambient PM2.5. Concentration-response functions from the 2019 GBD are used to project the impacts of changes in PM2.5 on mortality. Current plus planned plants will contribute, on average, 13% of ambient PM2.5 in India. This reflects large absolute contributions to PM2.5 in central India and parts of the Indo-Gangetic plain (up to 20μg/m3). In the south of India, coal-fired power plants account for 20% to 25% of ambient PM2.5. We estimate 112,000 deaths are attributable annually to current plus planned coal-fired power plants. Not building planned plants would avoid at least 844,000 premature deaths over the life of these plants. Imposing a tax on electricity that reflects these local health benefits would incentivize the adoption of renewable energy.<br>
DOI: 10.6084/m9.figshare.13564814
title: Suppl Table 2

description: Suppl Table 2. Moure et al.<br>
DOI: 10.6084/m9.figshare.13564814.v1
title: Suppl Table 2

description: Suppl Table 2. Moure et al.<br>
DOI: 10.6084/m9.figshare.13564793
title: Suppl Table S1

description: Supplemental Table 1. Moure et al.<br>
DOI: 10.6084/m9.figshare.13564793.v1
title: Suppl Table S1

description: Supplemental Table 1. Moure et al.<br>
DOI: 10.5281/zenodo.4432124
title: PubChemLite Uploads

description: <strong>Official Repository of PubChemLite Exposomics Datasets</strong> PubChemLite is a subset of PubChem (https://pubchem.ncbi.nlm.nih.gov/) selected from major categories of the Table of Contents page at the PubChem Classification Browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=72). PubChemCIDs have been collapsed by InChIKey first block, reporting the structure from the most annotated CID, plus related CIDs. Entries that will be ignored by MetFrag (salts, disconnected substances) or cause errors (e.g. transition metals) have been removed. The Patent and PubMed ID counts are extracted from files on the PubChem FTP site. The "AnnoTypeCount" term counts how many of the categories are represented, the subsequent column (named per category) counts the number of annotation categories available in the next sub-category of the TOC entry. PubChemLite <em>exposomics</em> is compiled from 10 categories: AgroChemInfo, BioPathway, DrugMedicInfo, FoodRelated, PharmacoInfo, SafetyInfo, ToxicityInfo, KnownUse, DisorderDisease, Identification. These files can be used "as is" as localCSV for MetFrag Command Line (https://ipb-halle.github.io/MetFrag/) - please do NOT upload these files directly to the web interface, they are too large and will instead be available in a drop-down menu.
DOI: 10.5281/zenodo.4432123
title: PubChemLite Uploads

description: <strong>Official Repository of PubChemLite Exposomics Datasets</strong> PubChemLite is a subset of PubChem (https://pubchem.ncbi.nlm.nih.gov/) selected from major categories of the Table of Contents page at the PubChem Classification Browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=72). PubChemCIDs have been collapsed by InChIKey first block, reporting the structure from the most annotated CID, plus related CIDs. Entries that will be ignored by MetFrag (salts, disconnected substances) or cause errors (e.g. transition metals) have been removed. The Patent and PubMed ID counts are extracted from files on the PubChem FTP site. The "AnnoTypeCount" term counts how many of the categories are represented, the subsequent column (named per category) counts the number of annotation categories available in the next sub-category of the TOC entry. PubChemLite <em>exposomics</em> is compiled from 10 categories: AgroChemInfo, BioPathway, DrugMedicInfo, FoodRelated, PharmacoInfo, SafetyInfo, ToxicityInfo, KnownUse, DisorderDisease, Identification. These files can be used "as is" as localCSV for MetFrag Command Line (https://ipb-halle.github.io/MetFrag/) - please do NOT upload these files directly to the web interface, they are too large and will instead be available in a drop-down menu.
DOI: 10.6084/m9.figshare.13564880
title: RNA-bw

description: a simple work on RNA-seq
DOI: 10.14457/tu.the.2019.988
title: To use or not to use English: a medium of instruction in teaching Chinese language in Thai international schools

description: With the development of China, more and more Chinese language courses are offered at various schools in different countries; as a result, a large number of Chinese teachers are needed to teach Chinese language overseas. According to the actual situations these teachers face and the teaching experiences they encounter overseas, it is inevitable for these teachers to choose to use a medium language to help them in teaching Chinese in order to strengthen communication and promote students’ learning in the process of teaching. Because of its most obvious advantage as a global language, English has undoubtedly been chosen as the primary medium of instruction to help and promote Chinese language teaching. However, whether it is necessary to use English as a medium of instruction in teaching Chinese language becomes a widely practical issue for every overseas Chinese teacher. It has also become a concern how to use English as a medium of instruction effectively to help Chinese teaching. This study focused on investigating the use of English as a medium of instruction in teaching Chinese language at international schools in Thailand. The research firstly interviewed three native Chinese teachers to investigate their perceptions of the use of English in teaching Chinese. Secondly, observations of six teaching videos of those teachers were carried out and their purposes of using English in the classroom were identified. It was found that there were differences in the proportions of English use depending on different pedagogical purposes and that there are important factors, such as the selected textbooks, level of importance placed on Chinese language learning in different schools, teaching resources’ support and learning atmosphere, that affect teachers' perceptions on the use of English in their teaching. It is hoped that teachers currently working in Thai international schools can improve their teaching efficiency and effectiveness by considering the main conclusion drawn in this study and that Chinese teachers who wish to work in Thai international schools could benefit from the findings shown in this study as a reference to boost their career development in the future.
DOI: 10.14457/tu.the.2020.4
title: กระบวนการเตรียมถ่านกัมมันต์จากเม็ดบ๊วยเพื่อใช้ในการดูดซับสารละลายฟีนอล

description: จุดมุ่งหมายของงานวิจัยนี้เพื่อศึกษาและหาสภาวะที่เหมาะสมในกระบวนการเตรียมถ่านกัมมันต์จากเม็ดบ๊วย เพื่อใช้ในการดูดซับสารละลายฟีนอลในระบบแบบกะ ตัวแปรที่สนใจศึกษาสำหรับกระบวนการเตรียมถ่านกัมมันต์ ได้แก่ อุณหภูมิในการคาร์บอไนเซชัน (400 500 และ 600 องศาเซลเซียส) และอัตราส่วนระหว่างปริมาณเม็ดบ๊วยกับปริมาณกรดฟอสฟอริก (1:1.0 1:1.5 และ 1:2.0) ส่วนการดูดซับสารละลายฟีนอลได้ศึกษาสองตัวแปร ซึ่งได้แก่ ค่าความเข้มข้นเริ่มต้น (100 ถึง 300 มิลลิกรัมต่อลิตร) และค่าความเป็นกรด-ด่าง (2 ถึง 10) ผลการศึกษาพบว่า อุณหภูมิในการคาร์บอไนเซชันและอัตราส่วนระหว่างปริมาณเม็ดบ๊วยกับปริมาณกรดฟอสฟอริก มีบทบาทสำคัญต่อสมบัติของถ่านกัมมันต์ที่เตรียมขึ้น ถ่านกัมมันต์ที่ถูกคาร์บอไนซ์ที่ 500 องศาเซลเซียส มีค่าไอโอดีนนัมเบอร์ ค่าการดูดซับเมทิลีนบลู และมีประสิทธิภาพในการดูดซับสารละลายฟีนอลสูง โดยเฉพาะ AC500,2.0 ในขณะที่ถ่านกัมมันต์ที่ถูกคาร์บอไนซ์ที่ 600 องศาเซลเซียส ให้ค่าไอโอดีนนัมเบอร์ ค่าการดูดซับเมทิลีนบลู และมีประสิทธิภาพในการดูดซับสารละลายฟีนอลต่ำที่สุดในทุกอัตราส่วน สำหรับการดูดซับสารละลายฟีนอล พบว่า การดูดซับสารละลายฟีนอลเกิดได้ดีเมื่อสารละลายมีค่าความเป็นกรด-ด่าง เท่ากับ 2 นอกจากนี้ จากการศึกษายังพบว่า การดูดซับสารละลายฟีนอลเป็นไปตามแบบจำลองของปฏิกิริยาอันดับสองเทียม โดยมีค่า R2 เท่ากับ 0.99 และสมดุลการดูดซับสารละลายฟีนอลเป็นไปตามแลงเมียร์ไอโซเทอม
DOI: 10.14457/tu.the.2019.989
title: การนำเส้นใยเห็ดมาขึ้นรูปวัสดุเหลือทิ้งทางการเกษตร

description: การจัดการวัสดุเหลือทิ้งทางการเกษตรที่มีอยู่จำนวนมากเป็นเรื่องสำคัญเพื่อไม่ให้เกิดผลกระทบต่อสุขภาพและสิ่งแวด ล้อม งานวิจัยนี้ได้นำแกลบและขุยมะพร้าวมาพัฒนาเป็นวัสดุเพื่อทดแทนการใช้พลาสติกมาขึ้นรูปโดยการใช้เส้นใยจากเห็ด ตัวแปรที่ศึกษาคืออัตราส่วนโดยมวลของแกลบหรือขุยมะพร้าวต่อกากขี้แป้งต่อเชื้อเห็ดนางฟ้าที่แตกต่างกัน 4 ค่า คือ 50:0:50 50:10:40 50:20:30 และ 50:30:20 ชิ้นงานที่เตรียมได้ถูกศึกษาความสามารถในการขึ้นรูปและคุณสมบัติต่างๆ เช่น ความชื้น การอุ้มน้ำ ความคงทน ผลการศึกษาพบว่า เส้นใยเห็ดสามารถนำมาเป็นตัวประสานในการขึ้นรูปชิ้นงานได้ การเพิ่มปริมาณเชื้อเห็ดส่งผลให้การขึ้นรูปเร็วขึ้นและชิ้นงานมีความคงทนมากขึ้น ชิ้นงานที่เตรียมจากขุยมะพร้าวในทุกอัตราส่วนมีค่าความชื้น (45-57%) ซึ่งสูงกว่าชิ้นงานที่เตรียมจากแกลบ (24-37%) อีกทั้งความสามารถในการอุ้มน้ำของชิ้นงานที่เตรียมจากขุยมะพร้าวอยู่ในช่วง 85-221% ซึ่งดีกว่าชิ้นงานที่เตรียมจากแกลบ นอกจากนี้ชิ้นงานไม่มีเชื้อราเกิดขึ้นเมื่อวางทิ้งไว้ภายนอกอาคารนาน 45 วัน
DOI: 10.14457/tu.the.2019.990
title: การลดการปล่อยก๊าซคาร์บอนไดออกไซด์โดยใช้อุปกรณ์ผลิตไฟฟ้าจากมนุษย์

description: งานวิจัยนี้มีวัตถุประสงค์เพื่อคำนวณปริมาณก๊าซคาร์บอนไดออกไซด์สู่สิ่งแวดล้อม จากการใช้จักรยานเป็นแหล่งกำเนิดพลังงานไฟฟ้า การศึกษานี้มีการออกแบบจักรยานพร้อมตัวกำเนิดไฟฟ้า โดยการต่อชุดควบคุมมอเตอร์ให้ทำงานได้ 2 ระบบ คือ ระบบกำเนิดไฟฟ้าในขณะที่ปั่นอยู่กับที่ โดยชาร์จไฟฟ้าเข้าอุปกรณ์อิเล็กทรอนิกส์ขนาดเล็กและแบตเตอรี่ไปพร้อมกัน และระบบกำเนิดไฟฟ้าในขณะที่จักรยานเคลื่อนที่ โดยทำการเก็บข้อมูลปริมาณไฟฟ้าที่จักรยานสามารถผลิตได้จากการปั่นจักรยานที่ความเร็ว 16, 18, 20, 22 และ 24 km/hr เป็นเวลา 30 นาที และนำมาคำนวณหาปริมาณก๊าซคาร์บอนไดออกไซด์ที่สามารถลดได้จากการผลิตไฟฟ้า และจากการใช้จักรยานแทนจักรยานยนต์ จากการศึกษาข้างต้นพบว่าพลังงานไฟฟ้าที่ผลิตได้ และแคลอรี่ที่สามารถเผาผลาญได้นั้นแปรผันตรงกับความเร็วในการปั่นจักรยาน ซึ่งค่าเฉลี่ยของพลังงานไฟฟ้าที่ผลิตได้ ของทั้ง 2 ระบบอยู่ที่ 61.5 Wh/day ในส่วนของปริมาณ CO2 ที่ชดเชยได้ของการกำเนิดไฟฟ้า ในขณะที่ปั่นอยู่กับที่เฉลี่ยอยู่ที่ 0.05 kgCO2/day และการกำเนิดไฟฟ้าในขณะเคลื่อนที่เฉลี่ยอยู่ที่ 0.69 kgCO2/day
DOI: 10.14457/tu.the.2019.991
title: Public apology strategies used by American film stars (male vs. female)

description: This study aimed to study the effect of gender on the use of public apology strategies. Public apology utterances uttered by eight American male (AMFS) and eight American female film stars (AFFS) were collected from two American news websites, CNN and Fox News. To identify the public apology strategies, Olshtain and Blum-kulka (1984)’s model was used. The apology strategies comprise illocutionary force indicating devices (expression of regret, offer of apology, request of forgiveness), taking on responsibility (explicit self-blame, expression of embarrassment, lack of intent), an explanation or account of the cause, offer of repair, promise of forbearance, and apology intensification. It was found that AMFSs performed all six apology strategies while only four apology strategies consisting of illocutionary force indication device (expression of regret and offer of apology), taking on responsibility (explicit self-blame, expression of embarrassment, lack of intent), explanation, and apology intensification were employed by AFFSs. Regarding the similarities in the use of apology strategies, the findings indicate that both AMFSs and AFFSs made use of the taking on responsibility strategy. In terms of differences, AMFSs performed more apology strategies than AFFSs. Even though taking on responsibility strategy was performed the most by both AMFSs and AFFSs, the remaining apology strategies were emphasized differently.From this study, L2 learners of English can learn how L1 speakers apologize in public. Suggestions for further research are included.