2026-04-30T03:59:06Z https://api.figshare.com/v2/oai

oai:figshare.com:article/30217561 2026-03-25T10:37:11Z category_24358 category_26959 category_26983 portal_0 item_type_3 month_year_03_2026

10.6084/m9.figshare.30217561.v3 Global terrestrial distribution of N2O-reducing Acidobacteriota members The role of Acidobacteriota in N2O reduction was testified by metagenomics and physiological experiments. Soil microbiology Metagenome nitrous oxide Acidobacteriota Acidobacteria CC BY 4.0 Kazumori Mise 1 Kazumori Mise 2 Sawa Wasai-Hara Hideomi Itoh 3 Hideomi Itoh Mise, Kazumori; Wasai-Hara, Sawa; Itoh, Hideomi (2026). Global terrestrial distribution of N2O-reducing Acidobacteriota members. figshare. Dataset. https://doi.org/10.6084/m9.figshare.30217561.v3 figshare

oai:figshare.com:article/24328756 2023-11-07T19:21:36Z category_28846 category_29821 portal_0 item_type_9 month_year_11_2023

10.6084/m9.figshare.24328756.v2 Validation for error-free ANN models on MNIST Open and run Run_Demo_Training.m in Matlab to train an ANN model for MNIST data set to zero error rate. For fast demo use small batch sizes around 1000. To train a model with the full size of 60,000 images, use model architecture 784-n-10 with n>=100 to save time. Also, in the mfile section titled `Stochastic Gradient Descent to prime the search', uncomment the following lines% %%%%%%% for full 60000% nmb_of_searching_per_session=80;% nmb_of_sessions=4000;% random_batch_size=1:1000;before running the script.Fully trained models are contained in the data file, Project_1_Model_Parameters.mat. To verify just open and run Run_Demo_Validation.m. Change `20' in these linesW1=h_nodes_20_pr_100_W.one;W2=h_nodes_20_pr_100_W.two;b1=h_nodes_20_pr_100_b.one;b2=h_nodes_20_pr_100_b.two;to '40', '60', or '80', or '100' to validate the models for different hidden node numbers,n, for the 784-n-10 models.In particular, the model with n=80 was the first ever to reach the 100% positive rate. Bo DengDepartment of MathematicsUniversity of Nebraska - LincolnLincoln, NE 68588bdeng@math.unl.eduNov. 2023 Artificial Neural Network Classification Error-free algorithm MNIST data CC BY 4.0 Bo Deng 1 Bo Deng Deng, Bo (2026). Validation for error-free ANN models on MNIST. figshare. Software. https://doi.org/10.6084/m9.figshare.24328756.v2 figshare NA 34757

oai:figshare.com:article/31375237 2026-04-30T03:44:53Z category_23872 portal_0 item_type_9 month_year_04_2026

10.6084/m9.figshare.31375237.v1 Codes for "Assessing response of water footprint of maize production to drought in China: different climate scenarios and irrigation strategies". Key codes related to analysis and generate the main figures in the paper "Assessing response of water footprint of maize production to drought in China: different climate scenarios and irrigation strategies". Additionally, some figures were created using ArcGIS and OriginPro; therefore, no corresponding code is available for these figures. Specific descriptions of the codes are provided below: Correlation.py: Analyze the correlation between the water footprint of corn production and the drought index.Probability distribution.py: Conditional probability distribution under different climate scenarios.Sensitivity analysis.mat: Relative sensitivity of Y and ETc to drought.Figure 8.py: Circular heat map of the correlation coefficient between water footprint and drought under different climate scenarios.Figure 9.py: Two-dimensional normal distribution probability density surface. Water footpirnt climate change drouht CC BY 4.0 Jiale Ma 1 Jiale Ma Ma, Jiale (2026). Codes for "Assessing response of water footprint of maize production to drought in China: different climate scenarios and irrigation strategies".. figshare. Software. https://doi.org/10.6084/m9.figshare.31375237.v1 figshare

oai:figshare.com:article/31991118 2025-04-10T00:00:00Z category_25666 portal_8 item_type_1 month_year_04_2025

10.26188/31991118.v1 Principal Bassoon for Wagner's Siegfried with Dresden Festival Orchestra (world premiere on period instruments) Premiere of the third part of the famous tetralogy Der Ring des Nibelungen, Siegfried, in an historically informed interpretation. Four intense periods of rehearsal and concerts in Prague, Paris, Cologne, Dresden and the renowned Lucerne Festival by the Dresden Festival Orchestra together with Concerto Köln, performing on period instruments under the direction of star conductor Kent Nagano. period instruments CC BY-NC-ND 4.0 1 LYNDON WATTS WATTS, LYNDON (2026). Principal Bassoon for Wagner's Siegfried with Dresden Festival Orchestra (world premiere on period instruments). The University of Melbourne. Figure. https://doi.org/10.26188/31991118.v1 The University of Melbourne

oai:figshare.com:article/32051976 2025-10-07T00:00:00Z category_25666 portal_8 item_type_1 month_year_10_2025

10.26188/32051976.v1 Baroque Bassoon for 'Boismortier 270' with recitals in Melbourne and Geelong This recital of French Baroque Chamber Music for 4 flutes and bassoon celebrated the music of Joseph Bodin de Boismortier (1689-1755) on the 270th anniversary of his death. Boismortier published over one hundred collections of instrumental and vocal works, many of which were groundbreaking for their time, as they required no patronage to reach the public. His music, often praised for its elegance and accessibility, remains a cornerstone of Baroque performance today. Professor Marion Treupel-Franck was the special guest artist for this program. Marion Treupel-Franck specialized in traverso after studying flute in Salzburg, Innsbruck, and Vienna, training with Barthold Kuijken at the Royal Conservatory of Brussels. She performs internationally with renowned Baroque ensembles and appears as a soloist at prestigious early music festivals. Her recordings are featured on labels such as Sony Music, Pan Classics, Ramée, and Ars Produktion. A dedicated educator, she teaches at the music universities in Regensburg and Munich, where she was appointed Honorary Professor in 2024. She regularly gives international masterclasses, and she completed a certification in music physiology at the Berlin Career College in 2020. www.flautotraverso.de Other performers on traverso were Gregory Dikmans, Latham Horn and Harrison Whelan. Lyndon Watts accompanied the quartet on Baroque bassoon. Period performance Baroque bassoon traverso Boismortier CC BY-NC-ND 4.0 1 LYNDON WATTS WATTS, LYNDON (2026). Baroque Bassoon for 'Boismortier 270' with recitals in Melbourne and Geelong. The University of Melbourne. Figure. https://doi.org/10.26188/32051976.v1 The University of Melbourne

oai:figshare.com:article/32130476 2026-04-30T03:40:04Z category_7 category_12 category_21 category_46 category_62 category_734 category_931 portal_87 item_type_3 month_year_04_2026

10.6084/m9.figshare.32130476.v1 In-hospital electronic monitoring system approaches to epidemiologic investigation and predictive modeling of contrast-induced acute kidney injury Contrast-induced acute kidney injury (CI-AKI), the third most common cause of hospital-acquired kidney injury, is associated with poor clinical outcomes, highlighting the need for accurate prediction. In this study, we used an electronic hospital monitoring system to retrospectively analyze 3,437 patients who underwent elective angiography at a large tertiary regional referral center in eastern China between 2019 and 2024, establishing a comprehensive epidemiological database. The system detected a CI-AKI incidence of 10.53% (362 cases) and revealed a striking under-diagnosis rate of 92.27% in discharge documentation. The key risk factors identified were leukocyte count, serum albumin level, and estimated glomerular filtration rate (eGFR). These predictors were used to develop and compare nine machine learning models against the conventional Mehran score. Although logistic regression (LR) showed the best overall performance, with an AUC of 0.806 and a Brier score of 0.076, the linear support vector machine (LSVM) also exhibited top-tier discriminative capability, achieving a comparable AUC of 0.807. Its slightly higher Brier score (0.124) suggests potential for improvement in calibration. Both machine learning models significantly outperformed the conventional Mehran score. This study demonstrates that electronic monitoring systems can help reduce missed diagnoses and that machine learning offers practical tools for early screening of high-risk patients and improved prognostic outcomes. Contrast-induced acute kidney injury electronic monitoring system machine learning epidemiology CC BY 4.0 1 Xingyue Zheng 2 Youjun Xu 3 Shuaibo Wang 4 Chenyang Rong 5 Fangfang Zhou 6 Qun Luo In-hospital electronic monitoring system approaches to epidemiologic investigation and predictive modeling of contrast-induced acute kidney injury. Taylor & Francis. Zheng, Xingyue; Xu, Youjun; Wang, Shuaibo; Rong, Chenyang; Zhou, Fangfang; Luo, Qun. Taylor & Francis This work was supported by the Zhejiang Medical Health Science and Technology Project [2021KY296], the Zhejiang Public Welfare Technology Application Research Project [LGF22H050009], the Key Medical Subjects of Joint Construction Between Provinces and Cities Grant [2022-S03], and the Ningbo Major Research and Development Plan Project [2025Z152]. 30119105

oai:figshare.com:article/32130482 2026-04-30T03:37:36Z category_4 category_7 category_12 category_13 category_15 category_16 category_19 category_134 category_135 category_873 portal_87 item_type_3 month_year_04_2026

10.6084/m9.figshare.32130482.v1 Serum metabolic profiling analysis of Gitelman syndrome using untargeted metabolomics Gitelman syndrome (GS) is a rare hereditary kidney disorder characterized by electrolyte abnormalities. However, its systemic manifestations, such as growth retardation, suggest broader metabolic disturbances. To investigate this issue, we explored the link between GS and lipid metabolism, hypothesizing that the genetic mutation affects pathways beyond renal function. Our study focused on five pediatric GS patients carrying homozygous SLC12A3 c.1262G > T mutation and seven healthy, age-matched controls from the Yi ethnic group. Consistent with systemic involvement, these children exhibited impaired growth and significantly lower serum total cholesterol compared to healthy controls. To determine whether this mutation directly causes cholesterol metabolism abnormalities, we conducted in vitro. 293 T cell with the c.1262G > T point mutation showed reduced intracellular cholesterol storage and increased cholesterol efflux, confirming a direct role of the mutation in disrupting cholesterol metabolism. Returning to our patient samples, we performed untargeted serum metabolomics to obtain a comprehensive view of metabolic changes. This analysis revealed alterations in numerous lipid-related metabolites. Crucially, glycerophospholipid metabolism was identified as the most significantly perturbed pathway in GS patients. These findings provide the first clear evidence linking this renal tubulopathy to systemic dyslipidemia, fundamentally expanding our understanding of its pathophysiology. Gitelman syndrome metabolomics lipid metabolism SLC12A3 CC BY 4.0 1 Jian Han 2 Lanxin Ma 3 Heng Luo Serum metabolic profiling analysis of Gitelman syndrome using untargeted metabolomics. Taylor & Francis. Han, Jian; Ma, Lanxin; Luo, Heng. Taylor & Francis This work was supported by Science and Technology Program of Yunnan Provincial Department of Science and Technology-Basic Research Program under Grant number 202301BA070001-025; Yunnan Provincial Department of Education Science Research Fund Project under Grant number 2025J0793; National Key Clinical Specialty Construction Project Fund for the Department of Cardiology, Chuxiong Prefecture People’s Hospital under Grant number 2024ZK01; the Scientific Research Fund of the People’s Hospital of Chuxiong Yi Autonomous Prefecture under Grant number 2023Y05; and Scientific Research Project of Chuxiong Medical College under Grant number 2019YYMX01. 30119108

oai:figshare.com:article/20799754 2018-07-19T00:00:00Z portal_1005 item_type_6 month_year_07_2018

10536/DRO/DU:30109995 Structure and Ion Dynamics in Imidazolium-Based Protic Organic Ionic Plastic Crystals Structure and Ion Dynamics in Imidazolium-Based Protic Organic Ionic Plastic Crystals Science & Technology Physical Sciences Technology Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Physics, Atomic, Molecular & Chemical Chemistry Science & Technology - Other Topics Materials Science Physics MOLECULAR-DYNAMICS PHASE-TRANSITIONS ACID CONDUCTIVITY LIQUIDS SALTS 3403 Macromolecular and materials chemistry 3406 Physical chemistry 3499 Other chemical sciences All Rights Reserved 1 H Zhu 2 X Wang 3 R Vijayaraghava 4 Y Zhou 5 DR Macfarlane Maria Forsyth 6 Maria Forsyth Zhu, H; Wang, X; Vijayaraghava, R; Zhou, Y; Macfarlane, DR; Forsyth, Maria (2026). Structure and Ion Dynamics in Imidazolium-Based Protic Organic Ionic Plastic Crystals. Deakin University. Journal contribution. https://hdl.handle.net/10536/DRO/DU:30109995 Deakin University

oai:figshare.com:article/32052042 2025-06-01T00:00:00Z category_25666 portal_8 item_type_1 month_year_06_2025

10.26188/32052042.v1 Directed and curated MCM Bassoon Ensemble outreach concert This program for eight bassoons and contraforte was performed for the elderly residents and guests of Drummond Place Retirement Community in Carlton, Melbourne. The program included arrangements of works by Elizabeth Jacquet de la Guerre, Giaccomo Puccini, Edward Grieg, Astor Piazzolla and Wolfgang Amadeus Mozart. Half the program contained first Australian performances of these excellent arrangements. The students in the 2025 MCM Bassoon Ensemble hail from Brisbane, Perth, Canberra, Bendigo and Melbourne. The ensemble unites all study levels from first year through to Masters. Some students major in another degree such as engineering or science, while simultaneously pursuing a diploma in music. The ensemble was originally formed during the inaugural annual Melbourne Bassoon Summer Course in 2017, with regular performances at the annually occurring national conference of the Australasian Double Reed Society. Student bassoonists who performed at Drummond Place were Arky Vogt, Each Zhang, Jake Newman, Joshua Elrom, Laura Radajewski, Sam Battock, Sara Mau and Thomas de Simone. bassoon ensemble contraforte CC BY-NC-ND 4.0 1 LYNDON WATTS WATTS, LYNDON (2026). Directed and curated MCM Bassoon Ensemble outreach concert. The University of Melbourne. Figure. https://doi.org/10.26188/32052042.v1 The University of Melbourne

oai:figshare.com:article/32130475 2026-04-30T03:28:51Z category_26152 category_29356 portal_0 item_type_6 month_year_04_2026

10.6084/m9.figshare.32130475.v1 Research finding and suplementary material This article presents a study investigating the gap between planned and enacted differentiated instruction in Indonesian language classrooms, specifically within the context of advertisement production activities under the Merdeka Curriculum. differentiated instruction, illusory differentiation, implementation gap, individual scaffolding, Merdeka Curriculum CC BY 4.0 1 Soleh Ibrahim Ibrahim, Soleh (2026). Research finding and suplementary material. figshare. Journal contribution. https://doi.org/10.6084/m9.figshare.32130475.v1 figshare eyJtZXRhZGF0YVByZWZpeCI6ICJyZGYiLCAidmVyYiI6ICJMaXN0UmVjb3JkcyIsICJvYWlfaGFuZGxlciI6IHRydWUsICJwYWdlIjogMiwgInhDdXJzb3IiOiAiZXlKaGJHY2lPaUpJVXpVeE1pSjkuSWxzeE56YzNOVEU1TnpNeE1EQXdMQ0F6TWpFek1EUTNOVjBpLkZHSHc3bE44RGE4YzNSNEF3Z1V1aVYzSGQxQ2Y0OHdqZlNFc1BPWnRybUJsb1ljSWpGc01OcE1CeUJ6Nktoc3FTYVdsQnhObGJmWWV2THhXRzJZM05RIiwgImV4cGlyYXRpb24iOiAiMjAyNi0wNC0zMCAwNDo1OTowNSJ9