cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3555337
title: Rotary querns made of basaltic lava during the Roman Iron Age in the north-west European Barbaricum

description: Catalogue of basaltic lava fragments. Compiled in 2016 for a Master thesis at the Christian-Albrechts University Kiel by Jonas Enzmann. The literature quotes and the article are published under: Enzmann, J. 2019: Die Handdrehmühlen aus Eifeler Basaltlava im nordwesteuropäischen Barbaricum während der Römischen Kaiserzeit – eine Diskussion zu überregionalen Verbreitungsrouten und -mechanismen auf Grundlage von Transportzonen. Siedlungs- und Küstenforschung im südlichen Nordseegebiet 42. 57-194. Enzmann, J. 2019: Rotary querns made from Eifel basaltic lava in the north-west European Barbaricum during the Roman Iron Age – A discussion about supra-regional exchange routes and mechanisms based on transport zones. Settlement and Coastal Research in the Southern North Sea Region 42. 57-194.
DOI: 10.5281/zenodo.3556161
title: Turkic basic vocabularies

description: The dataset represents basic vocabulary data across 32 Turkic languages. The basic vocabulary list merges the Leipzig-Jakarta 200 list (Haspelmath and Tadmor 2009) with the Jena 200 list (Anderson and Heggarty n.d.) and contains 254 different concepts. For each word in the dataset we provide an etymological analysis to establish cognacy classes on the basis of regular sound correspondences. Borrowings that can be identified using clearcut historical comparative criteria are excluded to provide a clearer phylogenetic signal. We deal with cases of synonymy in that we allow more than one word with a certain basic meaning in our dataset unless there is evidence that it is less basic than one of its synonyms. Singletons are removed from the dataset in case they have a non-singleton synonym that fits the criteria for basic status. The dataset also contains the tsv file edited in the EDICTOR tool (List 2017) as well as the file fed to BEAST in the original nexus format and in the XML format required by BEAST.
DOI: 10.7910/dvn/gcnu5l/iaebde
title: 2019_Water_Inv_SC_Public_Tabbed.tab

description: 2019 Public Data
DOI: 10.1285/i9788883051517
title: Introduzione alla Crittografia
DOI: 10.5281/zenodo.3555336
title: Rotary querns made of basaltic lava during the Roman Iron Age in the north-west European Barbaricum

description: Catalogue of basaltic lava fragments. Compiled in 2016 for a Master thesis at the Christian-Albrechts University Kiel by Jonas Enzmann. The literature quotes and the article are published under: Enzmann, J. 2019: Die Handdrehmühlen aus Eifeler Basaltlava im nordwesteuropäischen Barbaricum während der Römischen Kaiserzeit – eine Diskussion zu überregionalen Verbreitungsrouten und -mechanismen auf Grundlage von Transportzonen. Siedlungs- und Küstenforschung im südlichen Nordseegebiet 42. 57-194. Enzmann, J. 2019: Rotary querns made from Eifel basaltic lava in the north-west European Barbaricum during the Roman Iron Age – A discussion about supra-regional exchange routes and mechanisms based on transport zones. Settlement and Coastal Research in the Southern North Sea Region 42. 57-194.
DOI: 10.17632/p74ydj8b49.1
title: Folate hydrolase-1 (FOLH1) is a novel target for antibody-based brachytherapy in Merkel cell carcinoma

description: Folate Hydrolase-1 (FOLH1; prostate specific membrane antigen) is a type II transmembrane protein, luminally expressed by neovasculature of most solid tumors. J591, a monoclonal antibody (mAb), is specific to, and is effectively endocytosed after extracellular binding to, FOLH1; thus J591 is a vehicle for monoclonal antibody (mAb)-based brachytherapy in FOLH1+ cancers. We characterized FOLH1 expression in primary (p) and metastatic (m) MCC to determine its targeting potential for J591-brachytherapy. Paraffin sections from pMCC and mMCC were evaluated by immunohistochemistry for FOLH1. Monte Carlo simulation was performed on a MCC tissue section based on the physical properties of conjugated lutetium-177 (177Lu). Kaplan-Meier survival curves were calculated based on patient outcome data and FOLH1 expression. 81 MCC tumors were evaluated. All tumors demonstrated significant FOLH1+ vessels. 67% (54/81) of all cases, 77% (24/31) pMCC and 60% (30/50) mMCC tumors demonstrated FOLH1 neovascular expression. Monte Carlo simulation showed the highly localized ionizing tracks of electrons emitted from the targeted neovessel. 42% (34/81) of patients with FOLH1+/- MCC had available survival data for analysis. No significant differences in our limited data set were detected based on FOLH1 status, staining intensity score, or by grouping staining intensity scores for MCC specific survival or recurrence free survival. FOLH1 is expressed in most pMCC and mMCC cases, but does not appear to be prognostic. Our findings support further investigation of targeted therapy with J591-brachytherapy for the treatment of MCC.
DOI: 10.7910/dvn/4ui7sm/dysg3z
title: Letter of Ethical Approval Factors for Immediate Success Rate and SFR of Pediatric ESWL.pdf

description: Letter of Ethical Approval of Associated Factors for Immediate Success Rate and Stone-Free Rate of Pediatric Extracorporeal Shock Wave Lithotripsy (ESWL) in Cipto Mangunkusumo Hospital: An 8-year Single Center Experience
DOI: 10.1285/i9788883051517p1
title: Frontespizio e pagine iniziali
DOI: 10.1285/i9788883051517p3
title: Indice
DOI: 10.5281/zenodo.3556348
title: weecology/portalPredictions 2019-11-28

description: Using various models to forecast abundances at Portal
DOI: 10.7910/dvn/4ui7sm/hoyseo
title: STROBE Factors for Immediate Success Rate dan SFR of Pediatric ESWL.docx

description: STROBE Observational Cohort Checklist of Associated Factors for Immediate Success Rate and Stone-Free Rate of Pediatric Extracorporeal Shock Wave Lithotripsy (ESWL) in Cipto Mangunkusumo Hospital: An 8-year Single Center Experience
DOI: 10.7910/dvn/4ui7sm/tzwpin
title: DATA Factors for Immediate Success Rate and SFR of Pediatric ESWL.tab

description: Unprocessed (raw) data of Associated Factors for Immediate Success Rate and Stone-Free Rate of Pediatric Extracorporeal Shock Wave Lithotripsy (ESWL) in Cipto Mangunkusumo Hospital: An 8-year Single Center Experience
DOI: 10.1285/i9788883051517p6
title: Introduzione
DOI: 10.5281/zenodo.3556350
title: weecology/forecasts 2019-11-28

description: Archived forecasts for future analysis
DOI: 10.1285/i9788883051517p24
title: Crittoanalisi
DOI: 10.1285/i9788883051517p34
title: Segretezza Perfetta
DOI: 10.1285/i9788883051517p43
title: Advanced Encryption Standard
DOI: 10.1285/i9788883051517p8
title: Crittosistemi Classici
DOI: 10.5281/zenodo.3556324
title: On-street parking supply

description: On-street parking supply in the Brussels-Capital Region
DOI: 10.5281/zenodo.3556325
title: On-street parking supply

description: On-street parking supply in the Brussels-Capital Region
DOI: 10.5281/zenodo.3556360
title: The Stratigraphic Sequence at Chachondi (CHD02), Section 1

description: This dataset comprises the details of stratigraphic sequence visible in exposed section at archaeological site of Chachondi (CHD02), discovered in 2015 during explorations carried out by the INHCRF.
DOI: 10.5281/zenodo.3556361
title: The Stratigraphic Sequence at Chachondi (CHD02), Section 1

description: This dataset comprises the details of stratigraphic sequence visible in exposed section at archaeological site of Chachondi (CHD02), discovered in 2015 during explorations carried out by the INHCRF.
DOI: 10.5281/zenodo.3556372
title: The Stratigraphic Sequence at Chachondi (CHD02), Section 1

description: This dataset comprises the details of stratigraphic sequence visible in exposed section at archaeological site of Chachondi (CHD02), discovered in 2015 during explorations carried out by the INHCRF.
DOI: 10.1285/i9788883051517p65
title: Funzioni Hash Crittografiche
DOI: 10.14457/cu.the.2011.2203
title: Effects of check dam on species assemblage and distribution of amphibian and reptile in a deciduous forest in Nan Province, Thailand

description: Since numerous check dams have been constructed in Thailand and there were only a few reports on their effects on biotic components, a systematic field research on assemblage and distribution of amphibian and reptile was carried out to monitor the check dam effects in this study. Effects of the check dam were determined based on 1) spatial comparison between check dam and non-check dam areas during the same period and 2) temporal comparison between pre- and post-check dam periods of the same study site. Ten replicates of 5 transects at stream and terrestrial habitats were used for animal survey in two ephemeral streams at the Chulalongkorn University Forest and Research Station, Nan Province. The surveys in every transect were conducted in both daytime and nighttime on monthly basis for 2 years during April 2009 to April 2011. It was found that physical factors related to water pattern including hydroperiod, water depth and number of water body were significantly increased in check dam conditions in both spatial and temporal comparisons, indicating that the check dam could prolong the water availability of the stream. However, the rarefaction curves indicated that species diversity of amphibian and reptile was not significantly different between check dam and non-check dam conditions in both spatial and temporal comparisons. The non-metric multidimensional (NMDS) plots and analysis of similarity (ANOSIM) results also indicated that species composition of amphibian and reptile was generally similar between check dam and non-check dam conditions in both stream and terrestrial habitats. Although the distribution patterns, as revealed by Kruskal-Wallis test and non-parametric Tukey type multiple comparison, of some amphibians and reptiles were altered in a presence of the check dam, the distribution patterns of the majority of amphibian and reptile species were not different as a result of the check dam in both comparisons. Overall results suggested that the check dam can be regarded as an effective measure to prolong water period with minimal short-term impact on herptile community in the ephemeral stream habitat in the successive forest.
DOI: 10.5281/zenodo.3556379
title: DATASET - In search of an effective source use pattern for writing argumentative and informative synthesis texts

description: This SPSS file contains the data corresponding to the study as published in the article <em>In search of an effective source use pattern for writing argumentative and informative synthesis texts </em>(Vandermeulen, Van den Broek, Van Steendam, & Rijlaarsdam, 2019).
DOI: 10.5281/zenodo.3556380
title: DATASET - In search of an effective source use pattern for writing argumentative and informative synthesis texts

description: This SPSS file contains the data corresponding to the study as published in the article <em>In search of an effective source use pattern for writing argumentative and informative synthesis texts </em>(Vandermeulen, Van den Broek, Van Steendam, & Rijlaarsdam, 2019).
DOI: 10.21227/e85j-0a78
title: Examples of ImageCLEF 2019 VQA-Med data set

description: Some examples of the non-public data set ImageCLEF 2019 VQA-Med, including training, validation and test part.
DOI: 10.21227/y9y8-1538
title: Examples of ImageCLEF 2019 VQA-Med data set

description: Some examples of the non-public data set ImageCLEF 2019 VQA-Med, including training, validation and test part.
DOI: 10.25606/surf.578c6039-b0ce11c8
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-172)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 172 of the 2048³ resolution collection.
DOI: 10.1285/i9788883051517p96
title: Complessità computazionale di un algoritmo
DOI: 10.1285/i9788883051517p108
title: Il Crittosistema RSA
DOI: 10.1285/i9788883051517p114
title: Test di Primalità
DOI: 10.1285/i9788883051517p139
title: Metodi di Attacco al Crittosistema RSA
DOI: 10.1285/i9788883051517p155
title: Problema del Logaritmo Discreto
DOI: 10.1285/i9788883051517p168
title: Curve Ellittiche
DOI: 10.1285/i9788883051517p187
title: Crittosistemi basati su curve ellittiche
DOI: 10.1285/i9788883051517p203
title: Firma Digitale
DOI: 10.1285/i9788883051517p237
title: Bibliografia
DOI: 10.21227/bztv-5e91
title: Light Field Microscopy Datasets

description: Addtional datasets for the jounal paper subimitted to IEEE Transactions on Computational Imaging, including self-captured light field microscopy datasets with lab-assembled LF microscope.
DOI: 10.17632/dgdgh6j2md.1
title: Data for: How intonational contours, exposure, and variety affect lexical stress judgements (Submitted to LabPhon, Nov. 2019)

description: Materials for the stress-judgement task and exposure phases as described in "How intonational contours, exposure, and variety affect lexical stress judgements" (Submitted to LabPhon, Nov. 2019)
DOI: 10.21227/1nfb-xt63
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Combining machine learning and metabolomics to identify weight gain biomarkers, 2019, Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany 1 Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Mohamed Ziad Dabaja, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino" submitted to Frontiers Bioengineering and Biotechnology with review finalized on 22 Nov 2019.Article abstract:Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.21227/k446-fp12
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Combining machine learning and metabolomics to identify weight gain biomarkers, 2019, Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany 1 Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Mohamed Ziad Dabaja, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino" submitted to Frontiers Bioengineering and Biotechnology with review finalized on 22 Nov 2019.Article abstract:Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.21227/zzav-ah22
title: Combining machine learning and metabolomics to identify weight gain biomarkers

description: This dataset was used in the article "Combining machine learning and metabolomics to identify weight gain biomarkers, 2019, Flávia Luísa Dias-Audibert, Luiz Claudio Navarro, Diogo Noin de Oliveira, Jeany 1 Delafiori, Carlos Fernando Odir Rodrigues Melo, Tatiane Melina Guerreiro, Mohamed Ziad Dabaja, Flávia Troncon Rosa, Diego Lima Petenuci, Maria Angelica Ehara Watanabe, Licio Augusto Velloso, Anderson Rezende Rocha, Rodrigo Ramos Catharino" submitted to Frontiers Bioengineering and Biotechnology with review finalized on 22 Nov 2019.Article abstract:Weight gain is a metabolic disorder that often culminates in the development of obesity and other comorbidities such as diabetes. Obesity is characterized by the development of a chronic, subclinical systemic inflammation, and is regarded as a remarkably important factor that contributes to the development of such comorbidities. Therefore, laboratory methods that allow the identification of subjects at higher risk for severe weight-associated morbidity are of utter importance, considering the health and safety of populations. This contribution analyzed the plasma of 180 Brazilian individuals, equally divided into a eutrophic control group and case group, to assess the presence of biomarkers related to weight gain, aiming at characterizing the phenotype of this population. Samples were analyzed by mass spectrometry and most discriminant features were determined by a machine learning approach using Random Forest algorithm. Five biomarkers related to the pathogenesis and chronicity of inflammation in weight gain were identified. Two metabolites of arachidonic acid were upregulated in the case group, indicating the presence of inflammation, as well as two other molecules related to dysfunctions in the cycle of nitric oxide (NO) and increase in superoxide production. Finally, a fifth case group marker observed in this study may indicate the trigger for diabetes in overweight and obesity individuals. The use of mass spectrometry combined withmachine learning analyses to prospect and characterize biomarkers associated with weight gain will pave the way for elucidating potential therapeutic and prognostic targets.
DOI: 10.14457/cu.the.2008.2047
title: โลกาภิวัตน์ทางการเงินกับการปรับตัวของธนาคารพาณิชย์ในประเทศไทย

description: ศึกษาถึงการปรับตัวของธนาคารพาณิชย์ในประเทศไทย ด้านโครงสร้างองค์กร ธุรกรรมทางการเงินในสภาวะโลกาภิวัตน์ทางการเงิน และศึกษาถึงความสัมพันธ์ของนโยบายของรัฐบาลกับการปรับตัวของธนาคารพาณิชย์ไทย โดยใช้รูปแบบวิธีวิจัยคุณภาพ โดยศึกษาจากธนาคารพาณิชย์ 3 สถาบัน ได้แก่ ธนาคารกรุงไทย ธนาคารกรุงเทพและธนาคารกสิกรไทย ช่วงระยะเวลาตั้งแต่ปี 2540-2547 ผลการศึกษาพบว่าภายหลังเกิดวิกฤตเศรษฐกิจปี 2540 และมีการเปิดเสรีทางการเงิน ธนาคารต้องมีการปรับตัวให้สอดคล้องกับกระแสโลกาภิวัตน์ เพื่อให้สามารถแข่งขันกับธนาคารต่างชาติและสถาบันการเงินที่ไม่ใช่ธนาคาร (Non-bank) ที่เข้ามาป็นคู่แข่งกับธนาคารพาณิชย์ของไทย โดยมีการปรับโครงสร้างองค์กร เทคโนโลยี การบริหารความเสี่ยง รวมทั้งการเน้นเป้าหมายทางการตลาดรายย่อย เพื่อให้บริการในรูปแบบธนาคารครบวงจร (Universal banking) มากยิ่งขึ้น ด้านความสัมพันธ์ระหว่างภาครัฐกับธนาคารพาณิชย์พบว่า ธนาคารกรุงไทยยังคงถูกใช้เป็นช่องทางในการปฏิบัติตามนโยบายของรัฐและนักการเมืองอยู่ ธนาคารกรุงเทพและธนาคารกสิกรไทยจะมีปฏิสัมพันธ์กับนักการเมืองน้อยลง เนื่องจากธนาคารไม่ต้องพึ่งพานักการเมืองเพื่อการอยู่รอดของธุรกิจเพราะมีต่างชาติถือหุ้นในสัดส่วนที่สูงขึ้น ในขณะที่นักการเมืองไม่จำเป็นต้องพึ่งพาแหล่งทุน จากธนาคารพาณิชย์เอกชนอีกต่อไป ด้านการปรับตัวของธนาคารพบว่า ธนาคารกรุงเทพ จำกัด (มหาชน) ยังคงรักษาส่วนแบ่งตลาดของตนไว้ได้ และครองตำแหน่งธนาคารพาณิชย์อันดับหนึ่งของไทย ซึ่งมีการปรับตัวอย่างมากทั้งในแง่โครงสร้างผู้ถือหุ้น การจัดการและการนำเข้าเทคโนโลยีการบริหารที่ทันสมัยและก้าวหน้ามาใช้ ส่วนธนาคารกสิกรไทย จำกัด (มหาชน) มีการปรับตัว 4 ด้าน ได้แก่ ด้านวิสัยทัศน์ ด้านผลิตภัณฑ์ ด้านพนักงาน และด้านเทคโนโลยี ส่วนธนาคารกรุงไทยพยายามใช้ระบบการบริหารงานแบบเอกชน เพื่อให้การทำงานมีความคล่องตัวและเสริมประสิทธิภาพด้านเทคโนโลยีมากขึ้น ด้านผลประกอบการพบว่าธนาคารพาณิชย์มีผลประกอบการดีขึ้น โดยมีกำไรสุทธิเพิ่มสูงขึ้นภายใต้สภาพการแข่งขันที่เพิ่มขึ้น ในขณะที่ผู้บริโภคมีทางเลือกในการใช้บริการกับธนาคารพาณิชย์และสถาบันการเงินอื่นมากขึ้นเช่นกัน.