cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: The FAIR-Device – an AI image recognition-based non-lethal and generalist monitoring system for insect biodiversity in agriculture
Creators: name: Chiavassa, Juan A.
name: Kraft, Martin
name: Noack, Patrick
name: Walther, Simon
name: Kirse, Ameli
name: Scherber, Christoph
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: e-traps
subject: smart traps
subject: automatic trap
subject: integrated pest management
subject: biodiversity monitoring
subject: sensor-based monitoring
subject: iNaturalist

description: Agriculture is influenced by pest insects, but also has a considerable impact on general insect biodiversity. Insect field monitoring is essential for understanding their abundance, diversity, and dynamics in ecosystems, including pest distribution, control measures, and prediction of pest outbreaks. However, traditional monitoring systems can present difficulties leading to a limited temporal and spatial resolution of the information obtained. To resolve these limitations, automatic insect monitoring traps have been developed. However, most of them address only agricultural pests and are not suitable for monitoring a generalist population of insects. This limits their use for assessing the respective impact of different crop management practices. The Field Automatic Insect Recognition (FAIR)-Device is a novel generalist field device that provides high-resolution data for evaluating insect diversity. Proof of concept tests demonstrated the potential of the FAIR-Device as a low-cost, non-lethal tool for insect monitoring.
Processing BGC-Argo pH data at the DAC level
Creators: name: Johnson, Kenneth S.
name: Plant, Joshua N.
name: Maurer, Tanya L.
name: Takeshita, Yuichihiro
Publisher: name: Ifremer
Year: 2023

description: Seawater proton concentration is a master variable that controls the air-sea gas exchange of CO2, the ability of organisms to produce calcium carbonate shells, and that tracks the production and respiration of organic carbon as CO2 is removed or added to water by biological processes.  The proton concentration in seawater [H+] (mol kg-seawater-1) is typically reported as the pH = -log10 [H+].  The in situ proton concentration ranges from about 3 to 30 nmol kg-seawater-1 (7.5
title: Haftung beim Einsatz von KI-Systemen im Agrarsektor
Creators: name: Gennen, Klaus
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: KI-System
subject: Mängelhaftung
subject: Produkthaftung
subject: Produzentenhaftung
subject: Anwenderhaftung
subject: Produkthaftungs-RL-E
subject: KI-Haftungs-RL-E
subject: Vertragsgestaltung

description: Das derzeitige deutsche Haftungsrecht erweist sich als den Besonderheiten von KI-Systemen nicht vollends gewachsen. Insbesondere die Anwender von KI werden in Fragen der Beweisführung gegenüber der Herstellerseite oft relativ schlechter gestellt. Dem wirkt die EU durch die anstehende Harmonisierung der nationalen Haftungsregime im Bereich der Produkthaftung im Allgemeinen und der Haftung bei KI im Speziellen entgegen. Der Beitrag erläutert die bestehende Rechtslage im unternehmerischen Verkehr und die Bestrebungen, die Haftung für KI zu vereinheitlichen und zu vereinfachen. Hierneben werden de lege lata vertragliche Gestaltungsmöglichkeiten für eine Eindämmung von Risiken erörtert.
Additional file 8 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 8: Supplementary Fig. 4. The plots of the Schoenfeld Residuals against the transformed time for model genes.
sj-doc-1-mdm-10.1177_0272989X211038941 – Supplemental material for Don’t Throw Your Heart Away: Increased Transparency of Donor Utilization Practices in Transplant Center Report Cards Alters How Center Performance Is Evaluated
Creators: name: Butler, Alison E.
name: Chapman, Gretchen B.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, sj-doc-1-mdm-10.1177_0272989X211038941 for Don’t Throw Your Heart Away: Increased Transparency of Donor Utilization Practices in Transplant Center Report Cards Alters How Center Performance Is Evaluated by Alison E. Butler and Gretchen B. Chapman in Medical Decision Making
Deep Learning for Printed Image Quality
Creators: name: Chen, Jianhang
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Electrical engineering not elsewhere classified

description: This research focuses on developing algorithms to automatically classify, detect, simulate and improve the quality of defective printed images since the human visual system is unreliable. With the development of deep learning algorithms, state-of-the-art accuracy could be achieved for many computer vision tasks. This research applies the deep learning method to printed image quality assessment. Because most deep learning approaches require a large amount of data even after data augmentation, we propose to use Generative Adversarial Networks for simulation images generation. The simulated images with artifacts could be used for training classifier, detector and corrector networks for printed image quality. Another essential preprocessing step for printed image quality assessment is image registration, which can detect the defect and difference between two input images. This research proposes to use the deep learning framework for global image registration by parallel computation acceleration. For deformable local registration, we implement the U-Net VoxelMorph-based method for printed image registration. Then we further propose the recurrent network-based method, R-RegNet. The experimental results show that the proposed R-RegNet method outperforms the U-Net VoxelMorph-based method in all three datasets that we considered. Finally, we propose a photorealistic image dataset simulation method for training deep neural networks. A new dataset with simulated images, named Extra FAT, is introduced for object detection and 6D pose estimation.
title: Teilflächenspezifische Aussaat von Körnermais: Potenziale und Limitationen
Creators: name: Vinzent, Beat
name: Maidl, Franz-Xaver
name: Gandorfer, Markus
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Precision Farming
subject: teilflächenspezifische Aussaat
subject: Variable Rate Control
subject: Körnermais

description: Auf Basis mehrjähriger Feldversuchsdaten wurden in Parzellenversuchen unter süddeutschen Anbaubedingungen auf Standorten unterschiedlicher Ertragsfähigkeit die Auswirkungen einer Saatstärkenvariation bei Körnermais auf Kornerträge und saatgutkostenfreie Leistung analysiert. Die Variation der Saatstärke auf den Kornertrag war insgesamt nicht sehr ausgeprägt, die Saatgutkosten hingegen unterschieden sich deutlich. In zwei von drei Einzeljahren ergaben sich trotz des breiten ökonomischen Optimums in der ex-post-Betrachtung moderate Vorteile für eine teilflächenspezifische Saat, erstaunlicherweise lag das ökonomische Optimum der Saatstärke auf den getesteten Standort sehr hoch.
sj-docx-6-pie-10.1177_09544089211046081 - Supplemental material for Modeling of cattaneo-christov heat and mass flux on non-newtonian hydromagnetic fluid with variable thermal and solutal properties
Creators: name: Babu, B. Hari
name: Srinivasa Rao, P.
name: Reddy, M. Gnaneswara
name: Varma, S.V.K.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-docx-6-pie-10.1177_09544089211046081 for Modeling of cattaneo-christov heat and mass flux on non-newtonian hydromagnetic fluid with variable thermal and solutal properties by B. Hari Babu, P. Srinivasa Rao, M. Gnaneswara Reddy and S.V.K. Varma in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
Plan d'Actvité Argo-France 2023
Creators: name: Kolodziejczyk, Nicolas
name: André, Xavier
name: Cabanes, Cecile
name: Carval, Thierry
name: Coatanoan, Christine
name: D'Ortenzio, Fabrizio
name: Leymarie, Edouard
name: Maze, Guillaume
name: Lebreton, Nathanaele
name: Le Traon, Pierre-Yves
name: Poffa, Noe
name: Pouliquen, Sylvie
name: Poteau, Antoine
name: Sauzede, Raphaelle
name: Schmechtig, Catherine
name: Thierry, Virginie
name: Uitz, Julia
Publisher: name: Comité de Pilotage Argo France
Year: 2023

description: Plan d'Activité prévisionnel de Argo France en 2023
sj-docx-4-irp-10.1177_26334895211041295 - Supplemental material for Rapid Cycle Evaluation and Adaptation of an Inpatient Tobacco Treatment Service at a U.S. Safety-Net Hospital
Creators: name: Kathuria, Hasmeena
name: Herbst, Nicole
name: Seth, Bhavna
name: Clark, Kristopher
name: Helm, Eric D.
name: Zhang, Michelle
name: O’Donnell, Charles
name: Fitzgerald, Carmel
name: Itchapurapu, Indira Swetha
name: Waite, Meg
name: Wong, Carolina
name: Swamy, Lakshmana
name: Olson, Jen
name: Mishuris, Rebecca G.
name: Wiener, Renda Soylemez
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-4-irp-10.1177_26334895211041295 for Rapid Cycle Evaluation and Adaptation of an Inpatient Tobacco Treatment Service at a U.S. Safety-Net Hospital by Hasmeena Kathuria, Nicole Herbst, Bhavna Seth, Kristopher Clark, Eric D. Helm, Michelle Zhang, Charles O’Donnell, Carmel Fitzgerald, Indira Swetha Itchapurapu, Meg Waite, Carolina Wong, Lakshmana Swamy, Jen Olson, Rebecca G. Mishuris and Renda Soylemez Wiener in Implementation Research and Practice
Additional file 21 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 21. Identification of Rosmarinic acid (Cas 20283-92-5, C18H16O8, M.W. 360.31).
title: Adaptive real-time crop row detection through enhancing a traditional computer vision approach
Creators: name: Hussaini, Mortesa
name: Voigt, Max
name: Stein, Anthony
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: crop row detection
subject: precision agriculture
subject: machine learning
subject: artificial intelligence

description: Crop row detection is important to enable precise management of fields and optimize the use of resources such as fertilizers and water. Autonomous machines need an effective but also robust real-time row detection system to be able to adapt to different field conditions. In this paper, we present an enhanced crop row detection approach which integrates traditional computer vision methods with further techniques such as k-means clustering or probabilistic Hough transformation. The resulting hybrid method allows for efficient and robust detection of straight and curved crop rows in image and video material. We validate our approach empirically on the crop row benchmark dataset (CRBD) and compare it with other state-of-the-art approaches. Furthermore, we demonstrate that our approach is designed to be adaptive and thus becomes straightforwardly transferable to other experimental setups. To corroborate that, we report on results when our approach is validated on representative corner cases which have been collected in the scope of a research project. Observations and current limitations of our approach are discussed along with possible solutions to overcome them in future work.
Additional file 10 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 10: Supplementary Fig. 5. Distribution of the risk score, survival status of patients, and mRNA expression heatmap. (A–C) Distribution of the three-gene risk score: (A) Training set; (B) Testing set; (C) Validation set. (D–F) Distribution of the survival status of patients: (D) Training set; (E) Testing set; (F) Validation set. (G–I) Heatmap of the expression of the three-gene signature. (G) Training set; (H) Testing set; (I) Validation set.
BGC-Argo quality control manual for pH
Creators: name: Johnson, Kenneth S.
name: Maurer, Tanya L.
name: Plant, Joshua N.
name: Takeshita, Yuichihiro
Publisher: name: Argo
Year: 2023
Subjects: Argo
physical oceanography
in-situ marine data
profiling floats
pH
operational oceanography
biogeochemistry

description: This document is the Argo quality control (QC) manual for pH, where the parameter name for the variable is PH_IN_SITU_TOTAL. The document describes two levels of quality control:
 - The first level is the “real-time” (RT) quality control system, which includes a set of agreed-upon automatic quality-control tests on each measurement. Data adjustments can also be applied within the real-time system, and quality flags assigned accordingly.
 - The second level is the “delayed-mode” (DM) quality control system where data quality is assessed in detail by a delayed-mode operator and adjustments (based on comparison to high-quality reference fields) are derived. As mentioned, these adjustments can then be propagated forward and applied to incoming data in real-time until the next delayed-mode assessment is performed.
sj-docx-1-tan-10.1177_17562864211031099 – Supplemental material for Predictors of adherence and persistence to disease-modifying therapies in Multiple Sclerosis
Creators: name: Zanga, Gisela
name: Drzewiscki, Estefania
name: Tagliani, Paula
name: Smietniansky, Maximiliano
name: Esnaola y Rojas, Maria M.
name: Caruso, Diego
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-1-tan-10.1177_17562864211031099 for Predictors of adherence and persistence to disease-modifying therapies in Multiple Sclerosis by Gisela Zanga, Estefania Drzewiscki, Paula Tagliani, Maximiliano Smietniansky, Maria M. Esnaola y Rojas and Diego Caruso in Therapeutic Advances in Neurological Disorders
title: Verteilung und Zusammensetzung von Abfall in ländlichen Gebieten
Creators: name: Stoop, Ralph L.
name: Sax, Markus
name: Anken, Thomas
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Littering
subject: Unrat
subject: Abfalldichte
subject: Abfallverteilung

description: Achtlos liegengelassene oder weggeworfene Gegenstände („Littering“) wie Verpackungen, Flaschen, Alu-Dosen usw. stellen nicht nur eine Gefahr für Ökosysteme dar, sondern auch für die Landwirtschaft. Um Littering in der ländlichen Schweiz besser zu verstehen, haben wir mit Drohnen und Smartphones RGB-Farbbilder entlang verschiedener Straßenabschnitte gesammelt. Unsere ersten Analysen deuten darauf hin, dass in Schweizer Landwirtschaftsgebieten die Abfalldichte relativ gering ist, im Bereich von ca. 0,02-0,11 Abfallgegenstände/Straßenmeter (Zigaretten ausgenommen). Außerdem finden wir ein starkes Abfallen der Abfalldichte nach den ersten zwei Metern orthogonal zum Straßenrand. Unsere vorläufigen Resultate, insbesondere die Dichte und räumliche Verteilung der Gegenstände, weisen darauf hin, dass in landwirtschaftlichen Gebieten ein automatisches Aufnehmen vor dem Grünschnitt des Seitenstreifens ausreichend ist.
Additional file 12 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 12: Supplementary Fig. 6. Functional enrichment analysis of DEGs between the high- and low-risk groups. (A-B) KEGG pathway analysis. (C–D) GO enrichment analysis. (E–F) Gene set enrichment analysis.
Automated Contingency Management for Passenger-Carrying Urban Air Mobility Operations
Creators: name: Mudumba, Sai V
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Aerospace engineering not elsewhere classified

description: As Urban Air Mobility (UAM) is developed and brought into fruition via electric vertical takeoff and landing (eVTOL) vehicles, contingencies associated with this new distributed electric propulsion technology in metropolitan areas must be considered. On the state of knowledge on contingencies for eVTOL vehicles, these can be Epistemological Risks or Ontological Risks. Epistemological Risks include known-knowns (probabilistic risks) and known-unknowns (gaps in knowledge). Ontological Risks include, unknown-knowns (hidden knowledge), unknown-unknowns (fog of ignorance). As UAM operations at large scale do not have as much historical accidents data as General Aviation or Commercial Aviation, it is challenging to estimate its accident failure rate per 100,000 flight hours. While battery thermal runaway, battery energy uncertainty, software issues, and common mode power failures are some failure cases listed in this thesis, it is the undiscovered contingency (i.e., unknown-unknown) or unprepared contingency (i.e., unknown-known), along with other external factors, that can lead to an accident. UAM is expected to operate at 1500 feet AGL and at high frequencies over dense metropolitan areas. In an in-flight emergency at these altitudes, any startle response experienced by on-board or remote pilots can lead to longer response times. This study aims to create a framework for contingency planning and risk mitigation using a Reachable Ground Footprint model for eVTOL aircraft under 100% power failure scenarios in-flight. This framework utilizes all existing, public aerodrome infrastructures in metropolitan areas as potential contingency landing sites. Metrics such as Contingency Landing Assurance Percentage and Cruise Altitude Floor requirement are introduced to quantitatively measuring the safety of any UAM trip and provide recommendations on safe cruising altitudes. A demonstration case in the Chicago Metropolitan Area between DuPage Regional Airport and John H. Stroger Hospital Helipad is shown and discussed. Furthermore, aggregate analysis of 434 UAM trips in Chicago Metropolitan Area between Regional Airports, between Regional and Heliports, and between Heliports is performed, along with sensitivity studies involving wind and turn control restrictions. The results discuss variations in Cruise Altitude Floor, Flight Time, and Energy Consumption of these trips using an eVTOL vehicle.
sj-pdf-3-cri-10.1177_25160435211044586 - Supplemental material for When no news is bad news: Improving diagnostic testing communication through patient engagement
Creators: name: Zomerlei, Terri
name: Carraher, Amanda
name: Chao, Albert
name: Vink, Shonda
name: Chandawarkar, Rajiv
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 220106 Medical Ethics
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-3-cri-10.1177_25160435211044586 for When no news is bad news: Improving diagnostic testing communication through patient engagement by Terri Zomerlei, Amanda Carraher, Albert Chao, Shonda Vink and Rajiv Chandawarkar in Journal of Patient Safety and Risk Management
Additional file 13 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 13: Supplementary Fig. 7. Abundance of infiltrated immune cells between the high- and low-risk groups. (A) Differences in immune cell infiltration among LSCC samples. (B) Correlation between immune cells in LSCC samples.
Relation Of The Arm Profile Score And The Linear Index Of Function. Is The Shap An Adequate Functionality Assessment Of Prosthetic Use? A Case Study
Creators: name: Unglaube, Fabian
name: Pobatschnig, Barbara
name: Kranzl, Andreas
Publisher: name: Zenodo
Year: 2018

description: The Southampton Hand Assessment Procedure (SHAP) is a time-based assessment which is commonly utilised in research and rehabilitation to assess the functionality of upper limb prosthetic devices. However, the SHAP provides no information about compensatory movements due to the prosthetic restoration. The main outcome is the time required to accomplish ADLs expressed by the Linear Index of Function (LIF). However, compensatory movements among transradial amputees seem to provoke future constraints. The Arm Profile Score (APS) makes a statement about deviation from normative subjects based on kinematic data.
sj-pdf-1-apr-10.1177_1532673X211022317 – Supplemental material for A Rigged Game? How Candidate, Partisan, and Electoral Factors Shape Elite Support for the Party Nomination Process
Creators: name: Jewitt, Caitlin E.
name: Shufeldt, Gregory
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, sj-pdf-1-apr-10.1177_1532673X211022317 for A Rigged Game? How Candidate, Partisan, and Electoral Factors Shape Elite Support for the Party Nomination Process by Caitlin E. Jewitt and Gregory Shufeldt in American Politics Research
title: Assessing the contribution of digital technologies to agroecological principles in the European context
Creators: name: Alma Moroder, Sonoko Bellingrath-Kimura
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Agroecology
subject: 10 elements of agroecology
subject: FAO
subject: digitalisation
subject: digital technology
subject: digital tool

description: The aim of our research is to find out how the alignment/misalignment of digital technologies with agroecological principles can be assessed, in order to allow for a holistic evaluation of digital technologies in the future. To address this research question, we looked at agroecology as the “10 elements of agroecology” defined by the FAO, which encompass environmental, socio-economic, cultural and political principles. We developed a set of indicators representing these elements of agroecology. The indicator development was based on an exploratory and a systematic literature review, as well as a short survey, followed by a series of qualitative interviews with both agroecology and digitalisation experts. First results indicate that our indicator-based approach, although non-exhaustive, allows for a wide number of digital technologies to be assessed under the lens of their contribution to agroecology.
title: Exploring AI for interpolation of combine harvester yield data
Creators: name: Johannsen, Lucas
name: Ramm, Sebastian
name: Reckleben, Yves
name: Doerfel, Stephan
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: artificial intelligence
subject: machine learning
subject: yield map
subject: spatial prediction
subject: interpolation

description: In the wake of eco-schemes introduced by the EU's Common Agricultural Policy, this study evaluates AI-based interpolation methods for generating yield maps as one component of a decision support system, aiding farmers in eco-scheme implementation. The research contrasts ordinary Kriging (OK) with AI techniques – Random Forest (RF) enhanced with spatial fea-tures (RFsp), covariates (RFspco) and DeepKriging (DK), utilizing combine harvester yield data. Performance metrics show AI, especially RF variants, surpassing OK. For a 0.7 split, R² were 0.6 (OK), 0.77 (RF), 0.81 (RFsp), 0.78 (DK); MSE were 0.6 (OK), 0.34 (RF), 0.28 (RFsp), 0.32 (DK). Spatial features boosted accuracy, while incorporating Terrain Models had no rele-vant impact on the results. These findings are crucial for an automated, accurate decision support system, facilitating eco-scheme adoption for farmers. The efficiency of AI methods underscores their potential in promoting sustainable, informed agricultural practices.
title: Entwicklung eines Algorithmus zur automatischen Belegung von freibelegbaren Bedienelementen auf der Armlehne eines Ackerschleppers via ISOBUS
Creators: name: Hülle, Björn-Gerrit
name: Böttinger, Stefan
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: HMI
subject: Usability
subject: adaptiv
subject: ISOBUS

description: Der Ackerschlepper fungiert als universelle Plattform, an die eine Vielzahl von Arbeitsgeräten angekoppelt wird. Dementsprechend ist auch das HMI universell ausgelegt und nicht auf einen bestimmten Arbeitsprozess optimal für den Benutzer angepasst. Die Projektpartner entwickeln gemeinsam ein neues Softwarekonzept auf Basis von ISO 11783 und SAE J1939. Parallel dazu wird der Prototyp der Armlehne weiterentwickelt und um notwendige statische Traktorfunktionen ergänzt. Die neue Softwarekommunikation beinhaltet als zentrales Element einen Algorithmus, der die Funktionen des Arbeitsgerätes automatisch den frei belegbaren Bedienelementen des Ackerschleppers zuordnet. Derzeit wird die erste Version dieses Algorithmus zusammen mit der neuen Hard- und Software in den Versuchstraktor integriert, der Anfang 2024 in Betrieb gehen soll. Parallel dazu wird der Algorithmus weiterentwickelt, um die vorgeschlagene Konfiguration des Algorithmus zu optimieren. Dazu werden Untersuchungen durchgeführt, um ein Bewertungsraster für Bedienarmlehnen auf Ackerschleppern zu entwickeln, das dann in den Algorithmus integriert werden kann.
The Role of Communication in Accessibility for Virtual Music Festivals
Creators: name: Beer, Cassie Joanne
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Communication studies
Communication technology and digital media studies
Translation and interpretation studies

description: A literature review covering both the social construct model and medical model of disability followed by an argument of the importance of leisure and social activities, especially the arts, for people with disabilities. Concluding quantitative and qualitative research through focus groups and surveys, the project ends with a guide to implementing accessibility and inclusion efforts when planning online arts events.
Additional file 23 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 23. Identification of Isochlorogenic acid A (Cas 2450-53-5, C25H24O12, M.W.516.45).
Argo quality control manual for biogeochemical data
Creators: name: Schmechtig, Catherine
name: Wong, Annie
name: Maurer, Tanya L.
name: Bittig, Henry
name: Thierry, Virginie
Publisher: name: Bio-Argo group
Year: 2023

description: This document is the Argo quality control manual for biogeochemical data. It describes two levels of quality control:
• The first level is the real-time system that performs a set of agreed automatic checks.
• The second level is the delayed-mode quality control system.
e-JERICO technical design
Creators: name: Villoria, Juan Miguel
name: Alcalde, Miguel Angel
name: Charcos Llorens, Miguel
name: Fernandez, Juan Gabriel
name: Reyes, Emma
name: Tintoré, Joaquin
Publisher: name: JERICO DS
Year: 2023

description: This deliverable presents the outcome of JERICO-DS Task 3.3: e-JERICO (from now on JERICO-CORE) Technical Design Study. The JERICO-CORE Technical Design Study aims to envision the federated cloud-computing infrastructure needed to serve all users (researchers, governmental agencies, private companies and general public), promoting the use of data, information, and services for academic, industrial, and societal purposes offered by JERICO-RI. The JERICO-RI will be the European gateway to long-term scientific observations and related services for European coastal marine systems at the convergence between the land, open ocean, and atmosphere; empowering European research excellence and expertise for the benefit of society. The JERICO-DS Technical Design Study, establishes the foundations and guidelines to the future develop of JERICO-CORE platform: - To define a Service Architecture based on well-gathered and analysed stakeholder requirements. - To embrace the latest technologies in cloud computing, suitable for use as tools for analysis, processing, and communication of the scientific production of JERICO-RI. - To not reinvent the wheel, and develop JERICO-CORE on the major existing European Initiatives (EGI, EOSC, EUDAT, D4Science and Blue-Cloud), in order to reduce risks in development, quickly gain knowledge, experience and return on investment in terms of costs and time to release.
title: Comparison of UAV- and mowing machine-mounted LiDAR for grassland canopy height estimation
Creators: name: Bracke, Justus
name: Storch, Marcel
name: Bald, Janis
name: Jarmer, Thomas
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: LiDAR
subject: UAV
subject: machine-mounted sensors
subject: grassland
subject: canopy height estimation

description: Towards autonomous process monitoring, canopy height estimation in grassland based on data from a mowing machine-mounted LiDAR and a UAV-LiDAR system is compared to manually measured ground truth heights. In a field trial, a LiDAR mounted on the cabin roof of the mowing machine recorded data during the mowing process, while two recording flights before and after the mowing were conducted with a UAV-LiDAR. The data from both systems were processed similarly and parameters such as height estimation method, spatial resolution and percentile filters were systematically varied to investigate their influence on height estimation accuracy. Statistical evaluation showed that canopy height estimates based on the UAV-LiDAR (R² = 0.89, RMSE = 0.05 m) were more accurate and precise than those based on the mowing machine-mounted LiDAR (R² = 0.51, RMSE = 0.08 m). The influence of the different investigated parameters varied.
title: Soil moisture simulations for a sustainable irrigation management
Creators: name: Wenzel, Jan Lukas
name: Conrad, Christopher
name: Pöhlitz, Julia
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: HYDRUS-1D
subject: plant available water
subject: irrigation decision support systems
subject: gun sprinkler irrigation
subject: potato production

description: Accurate estimations of crop water requirements accounting for spatial heterogeneous soil properties are recognized as a major contribution towards a sustainable agricultural irrigation management. Crop-specific irrigation demand estimations may be improved by physics-based soil moisture models, although spatially distributed soil moisture simulations strongly rely on profound assessments of the model accuracy and applicability under open-field conditions. Hence, this study aims to investigate simulated root-zone soil moisture dynamics on a variably irrigated potato field provided by the HYDRUS-1D model and its suitability for irrigation management purposes in terms of input parameter requirements and applicability on larger, heterogeneous sites. All simulations were highly accurate (RMSE = 0.018 m3 m-3), when compared to in-situ measurements, but varied stronger in topsoil than in subsoil layers. A pixel-based approach using aggregated soil properties, phenological characteristics and meteorological conditions enables appropriate trade-offs between simulation accuracy and the parameterization effort and applicability in irrigation management.
title: Development of an index to estimate potential risk of slug damage
Creators: name: Giovanni Antonio Puliga, Jobst Gödeke
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: crop protection
subject: field slugs
subject: slug index
subject: precision farming

description: Terrestrial slugs are important pests for many agricultural and horticultural crops. Current control strategies are mostly based on preventive approaches and their success is strongly influenced by timing of application and knowledge of the pests’ behaviour. This paper presents an approach to estimate spatial and temporal activity of slugs in the field. For this, an index is developed considering different factors that influence the activity of slugs. The index is then used to generate a map, where areas of the field with higher potential risk of slug damage are identified. This map can be used for smart agriculture applications such as the control of these pests through an autonomously operating field robot.
title: Entwicklung eines vielfältigen und anspruchsvollen Benchmark-Datensatzes für die Detektion von Schweinen in Bildern
Creators: name: Henrich, Jonathan
name: Post, Christian
name: Kneib, Thomas
name: Yahyapour, Ramin
name: Bingert, Sven
name: Traulsen, Imke
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Objektdetektion
subject: Schweine
subject: Datensatz

description: Die Lokalisation von Schweinen in Videobildern mittels Objektdetektion spielt eine Schlüsselrolle bei der Gestaltung digitaler Überwachungssysteme in der Schweinehaltung. Um leistungsstarke Schweinedetektionsmodelle zu trainieren und systematisch miteinander zu vergleichen, bedarf es diverser und für Detektionsmodelle anspruchsvoller annotierter Datensätze. Aktuell sind solche Ressourcen nur begrenzt verfügbar. Dem soll im Rahmen dieser Arbeit nachgegangen werden, indem die Grundlage für einen anspruchsvollen Benchmark-Datensatz für die Schweinedetektion geschaffen wird. Anspruchsvolle Bilder, d. h. anfällig für fehlerhafte Detektionen, wurden mithilfe eines interaktiven prädiktionsbasierten Ansatzes identifiziert. Die experimentellen Ergebnisse legen nahe, dass sich diese gezielte Auswahl von anspruchsvollen Bildern positiv auf die Leistung von trainierten Schweinedetektionsmodellen auswirkt.
sj-pdf-1-sjp-10.1177_14034948211032494 – Supplemental material for Migration health research in Norway: a scoping review
Creators: name: Laue, Johanna
name: Diaz, Esperanza
name: Eriksen, Linda
name: Risør, Torsten
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-1-sjp-10.1177_14034948211032494 for Migration health research in Norway: a scoping review by Johanna Laue, Esperanza Diaz, Linda Eriksen and Torsten RisØr in Scandinavian Journal of Public Health
Additional file 16 of RUNX1-BMP2 promotes vasculogenic mimicry in laryngeal squamous cell carcinoma via activation of the PI3K-AKT signaling pathway
Creators: name: Zhu, Qingwen
name: Zhang, Xinyu
name: Lu, Fei
name: Miao, Siyu
name: Zhang, Chunyang
name: Liu, Zhenzhen
name: Gao, Zejun
name: Qi, Meihao
name: An, Xiaogang
name: Geng, Panling
name: Wang, Sufang
name: Ren, Hongbo
name: Han, Fugen
name: Zhang, Ruyue
name: Zha, DingJun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Additional file 16: Supplementary Fig. 8. KM survival analysis of AGPS and EPO on OS in LSCC. KM survival analysis of AGPS(A) and EPO (B)on OS in LSCC.
Supplemental Material, sj-pdf-1-sir-10.1177_00084298211035990 - CTS: Theology in Canada: The state of the discipline
Creators: name: Beaman, Lori G
name: Selby, Jennifer
name: Strumos, Lauren
name: Sweet, William
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 220499 Religion and Religious Studies not elsewhere classified
subject: FOS: Philosophy, ethics and religion

description: Supplemental Material, sj-pdf-1-sir-10.1177_00084298211035990 for CTS: Theology in Canada: The state of the discipline by William Sweet in Studies in Religion/Sciences Religieuses
sj-docx-1-hej-10.1177_00178969211049380 – Supplemental material for Cooking app engages kids as well as moms: Inviting secondary users into health outreach
Creators: name: Clarke, Peter
name: Neffa-Creech, Deborah
name: Evans, Susan H
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: Education

description: Supplemental material, sj-docx-1-hej-10.1177_00178969211049380 for Cooking app engages kids as well as moms: Inviting secondary users into health outreach by Peter Clarke, Deborah Neffa-Creech and Susan H Evans in Health Education Journal
CATALYTIC CARBONYLATION FOR MACROCYCLIC KETONE AND MACROLIDE SYNTHESIS
Creators: name: Luo, Yiyang
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Organic chemistry not elsewhere classified
Organic chemical synthesis

description: Carbon monoxide gas is the cheapest and most abundant one carbon source. Palladium-catalyzed carbonylative cross coupling has developed fast in the last decade. It has become a platform for synthesizing carbonyl-containing complex molecules. Macrolides and macrocyclic ketones are one of the most common structures in nature products. The delicate balance between constructional flexibility and certainty endowed their promising bioactivities. Herein will be discussed novel palladium-catalyzed carbonylation reactions and their excellent performance in synthesis of macrocycle structures. The total synthesis of trans-resorcylide was finished in 7 steps (LLS), featuring a palladium-catalyzed macrocyclic Stille carbonylation to build the 12-membered macrocycle. Notably, while a cis-vinylstannane-containing precursor was applied, the palladium-catalyzed macrocyclic Stille carbonylation delivered a trans-enone-containing product. An efficient enantioselective palladium-catalyzed carbonylative macrolactonization to 2,3-dienolides with wide functional group tolerance was developed, adding one more to the few reported cases of enantioselective lactonization. Overcoming the difficulties in supply of 2,3-dienolides promoted the further study of their chemical properties. Fast total syntheses of zearalane and norzearalane II were finished implementing 2,3-dienolides. Phosphine catalyzed divergent [3+2] and [2+4] cycloadditions of 2,3-dienolide and 2,3-pyrrolidinedione were investigated. A spontaneous [2+2] dimerization of 2-phenyl-2,3-dienyl-11-undecanolide was discovered and probed.
title: Assimilation von satellitenbasierten Reflexionsmessungen in einem Informationssystem für einen modernen Hopfenbaubetrieb
Creators: name: Linseisen, Hubert
name: Manakos, Ioannis
name: Katsikis, Eleftherios
name: Delopoulos, Anastasios
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Hopfenbau
subject: Fernerkundung
subject: Informationssystem
subject: GIS
subject: GPS

description: Ziel des Artikels ist es, ortsbasierte Fernerkundungstechnologien verstärkt auch in die Praxis des Hopfenbaus zu bringen. Einleitend wird gezeigt, wie hierfür ein datenbasiertes Informationssystem mit Software und Datentransfer ausgestaltet sein muss. Der Schwerpunkt des Beitrags ist das Stickstoffmonitoring und die Ertragsschätzung im Hopfenbau durch Fernerkundungsdaten. Hierzu wurden Daten aus den letzten drei Jahren für einen Hopfenbaubetrieb aus der Hallertau ausgewertet. Gezeigt werden erste Schritte, welchen Beitrag hierbei die Fernerkundung leisten kann. Eine Diskussion mit Ausblick rundet den Beitrag ab.
THE IMPACT OF MEDIUM-CHAIN TRIGLYCERIDES ON ENERGY INTAKE, ADIPOSITY, AND HIPPOCAMPAL BRAIN-DERIVED NEUROTROPIC FACTOR IN AD LIBITUM AND PAIR-FED RAT MODELS OF HIGH-FAT-DIET-INDUCED OBESITY
Creators: name: Bachman, Brent Benjamin
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Psychophysiology
Psychopharmacology

description: Dietary intervention remains a popular, albeit challenging, approach for combating obesity. In recent years, dietary interventions that increase consumption of medium-chain triglycerides (MCT) instead of long-chain triglycerides (LCT) have gained attention. Pre-clinical research has demonstrated that rats fed a high-fat diet (HFD) induce adiposity, but a dietary shift from LCT to MCT suppresses this effect. To date, the extent to which this effect operates via suppressed hyperphagia is not fully understood. In the present study, we sought to determine how consuming a HFD composed of different fat types affects energy intake, adiposity, and hippocampal brain-derived neurotropic factor (BDNF) levels. Rats were assigned to one of four diet groups – rat chow (CHOW), LCT-enriched HFD (LCT-HFD), MCT-enriched HFD (MCT-HFD), or coconut oil-enriched HFD (COCO-HFD), which composes a mixture of LCT and MCT. In Experiment 1, all animals were given ad libitum access to their assigned diet, whereas in Experiments 2 and 3, HFD-subjects were pair-fed to CHOW to prohibit hyperphagia. In Experiments 1 and 2, subjects were aged 20-24 weeks, whereas in Experiment 3, subjects were aged 10-11 weeks. Across experiments, we found that the effect of MCT consumption on suppressing HFD-induced adiposity is causally related to suppressed HFD-induced hyperphagia. Additionally, we failed to detect an effect of HFD consumption on hippocampal BDNF. Therefore, our findings did not support or oppose the hypothesis that MCT consumption attenuates HFD-induced BDNF deficiency. Future studies should focus on determining the causal relationship between MCT consumption, energy expenditure, and HFD-induced adiposity.
The MakAR Project: Empowering Youth to Design, Build, and Play Through Interactions with Augmented Reality, Physical Prototyping, and the Internet of Things
Creators: name: Glenn, Terrell Kendall
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Human-computer interaction
Mechanical engineering not elsewhere classified

description: Makerspaces can support educational experiences in prototyping for young learners, while physical computing platforms enable high levels of creativity and expression. However, each of these have high barriers of entry, especially for youth without prior experience. Commercial microcontrollers have become a popular tool to use when designing both basic and complex electro-mechanical devices. Block-based programming interfaces are an ideal environment to program these microcontrollers, lowering the barrier of entry for young, novice programmers. Finally, incorporating physical computing devices alongside Augmented Reality (AR) presents opportunities for shared experiences between users, leading to more engagement, which creates opportunities for social interaction, ideation, and creativity. This thesis presents the MakAR project, which aims to empower youth to design, build, and play through interactions with AR, physical prototyping, and the Internet of Things (IoT). We sought to design an interactive system with which we can (1) explore novel interactions between physical and virtual content, (2) lower the barrier to entry for young makers to design, build, and play with DIY electro-mechanical devices, and (3) engage and collaborate with one another both virtually and physically in an AR-IoT environment. Our results provide evidence to how our system enables youth, with and without prior experience with physical computing, to both engage and struggle with designing AR-IoT interactions while using our system, helps reduce the barrier to entry for young users to create complex electro-mechanical devices, and provides unique shared AR-IoT experiences for both novices and expert users.