cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Dreidimensionale Bodenfeuchtemodellierung auf Schlagebene
Creators: name: Post, Sandra
name: Schröter, Ingmar
name: Bönecke, Eric
name: Rühlmann, Jörg
name: Böttcher, Falk
name: Assmann, Denise
name: Kramer, Eckart
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Bodenfeuchte
subject: Prozessmodellierung
subject: Bodensensorik
subject: Bodenparametermodellierung
subject: Präzisionslandwirtschaft
subject: AMBAV

description: Für die Erstellung von hochaufgelösten dreidimensionalen Bodenfeuchtemodellen wurden auf drei Ackerflächen in Mittel- und Ostbrandenburg an jeweils zehn Punkten AMBAV-Modelle in 10-cm-Schichten bis zu einer Tiefe von 150 cm erstellt, die über den mittleren Korngrößendurchmesser schlagspezifisch regionalisiert wurden. In den oberen und mittleren Bodenschichten lag der RMSE bei überwiegend unter 10 Vol.-%, in den unteren Schichten beträgt er durchschnittlich zwischen 10 und 19 Vol.-%. Die Validierung des regionalisierten Modells brachte in den oberen 10 cm einen RMSE von 7,2 Vol.-% hervor.
title: Synthetic fields, real gains
Creators: name: Wachter, Paul
name: Kruse, Niklas
name: Schöning, Julius
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: hybrid data
subject: synthetic data
subject: augmented data
subject: smart farming
subject: reality gap

description: Artificial intelligence (AI) promises transformative impacts on society, industry, and agriculture, while being heavily reliant on diverse, quality data. The resource-intensive “data problem” has initialized a shift to synthetic data. One downside of synthetic data is known as the “reality gap”, a lack of realism. Hybrid data, combining synthetic and real data, addresses this. The paper examines terminological inconsistencies and proposes a unified taxonomy for real, synthetic, augmented, and hybrid data. It aims to enhance AI training datasets in smart agriculture, addressing the challenges in the agricultural data landscape. Utilizing hybrid data in AI models offers improved prediction performance and adaptability.
Additional file 1 of A cell transcriptomic profile provides insights into adipocytes of porcine mammary gland across development
Creators: name: Fan, Yongliang
name: Jin, Long
name: He, Zhiping
name: Wei, Tiantian
name: Luo, Tingting
name: Zhang, Jiaman
name: Liu, Can
name: Dai, Changjiu
name: A, Chao
name: Liang, Yan
name: Tao, Xuan
name: Lv, Xuebin
name: Gu, Yiren
name: Li, Mingzhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: Computational Biology

description: Additional file 1: Table S1. The phenotype data of adipocytes in the mammary gland (mean ± SD). Table S2. The information of sequencing statistics and cell statistics. Table S3. Maker genes used for cell type annotation. Table S4. Fraction of each cell type in each developmental stage. Table S5. Statistics of the number of differentially expressed genes identified in two adjacent periods in each cell type. Fig. S1. The diagrams showed the nFeatures, nCounts, mitochondrial percent and ribosomal percent of each sample before or after quality control. Fig. S2. The typical L-R interactions predicted by iTALK between any two cell types. Fig. S3. Deconvolution of ST data based on snRNA-seq data. Fig. S4. GO annotation and KEGG pathway analysis of upregulated DEGs identified in adjacent developmental stages. Fig. S5. The common significant GO terms and KEGG pathways identified in adjacent developmental stages. Fig. S6. Venn graph of the numbers of shared and unique significant GO term sets or KEGG pathway sets in different cell types (adipocytes, epithelial, fibroblasts, endothelial, myoepithelial, immune and precursor cells; indicated with different color) in the mammary gland of five devel-opmental stages (L0 vs. G90, L20 vs. L0, PI2 vs. L20, and PI7 vs. PI2 groups).
title: Möglichkeiten der Analyse und Interpretation der visuellen Darstellung von Tierpositionen im Zeitverlauf
Creators: name: Sven Götz, Alexander Kühnemund
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Tierverhalten
subject: Schwein
subject: Tierwohl
subject: Tiergesundheit
subject: KI
subject: Kameras

description: Die Darstellung von Tierpositionen über die Zeit als Heatmaps ermöglicht Einblicke in das Verhalten der Tiere sowie über die Funktionalität der Technik und des Klimas im Stall. Heatmaps meint hierbei die Darstellung der Tierpositionen als farbige Karten. Laut Tierschutznutztierverordnung müssen Tierhalter das Wohlbefinden ihrer Tiere täglich überwachen. Diese Tierkontrolle basiert jedoch auf Momentaufnahmen des Stalldurchganges und spiegelt nicht das „normale“ Tierverhalten wider, da die Anwesenheit des Menschen das Verhalten beeinflusst. Die beschriebene Technik macht sich KI und Überwachungskameras zunutze, um die Positionen von Schweinen zu erfassen und in Form von Tierverteilungskarten zu visualisieren. Diese Darstellung ermöglicht es dem Tierhalter, viele Informationen in vereinfachter Form aufzunehmen und zu analysieren. Durch die frühzeitige Erkennung von Missständen bietet dies den Tierhaltern ein wichtiges Werkzeug zur Verbesserung des Tierwohls. Daher sind Heatmaps ein nützliches Tool, um Verhalten schnell und vereinfacht sichtbar zu machen. Jedoch sind sie oftmals nicht selbsterklärend und benötigen zur korrekten Interpretation fachliche Expertise.
title: Akzeptanzprognose zur Einführung eines Energiemanagementsystems in automatisierten Milchviehställen in Bayern – „CowEnergySystem“
Creators: name: Christoph Bader, Jörn Stumpenhausen
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Regenerative Energien
subject: dezentrale Energieversorgung
subject: Energie-Management-System
subject: Energieeffizienz
subject: Innovation
subject: Markteinführung
subject: Akzeptanz

description: Angesichts des weltweit steigenden Bedarfs entwickelt sich die Ressource Energie zu einem bedeutenden Kostenfaktor in der Agrarwirtschaft. Von dieser Entwicklung sind besonders tierhaltende Betriebe betroffen und vor zusätzliche Herausforderungen gestellt. Durch den gesellschaftlich gewünschten Ausstieg aus der Nutzung fossiler Energieträger treten regenerative Energien verstärkt in den Mittelpunkt. Gerade für landwirtschaftliche Betriebe ergeben sich dadurch bisher ungenutzte Potenziale. Durch Photovoltaikanlagen auf Dächern von Betriebsgebäuden oder die Verwertung von Gülle in Biogasanlagen kann zusätzliche Energie erzeugt werden. Dadurch eröffnet sich die Möglichkeit, preiswerte Energie im Betrieb selbst zu nutzen oder in das öffentliche Stromnetz zu liefern. Im Rahmen des Forschungsprojektes „CowEnergySystem“ soll neben einer betriebsindividuellen Stromerzeugung untersucht werden, welche Möglichkeiten einer effizienten Nutzung dazu beitragen können, die Stromkosten nachhaltig zu senken. Kernelement eines solchen Nutzungskonzeptes stellt ein entsprechendes Energiemanagementsystem (EMS) dar. Erste Erfahrungen aus einem bayerischen Milchvieh-Betrieb lassen auch für andere Betriebszweige und Regionen ähnliche Nutzenpotenziale erwarten. Die erfolgreiche Verbreitung eines derartigen Konzepts wird entscheidend von der Akzeptanz der Nutzer bestimmt. Erste Ergebnisse zur möglichen Akzeptanz dieses EMS sowie wichtige Einflussfaktoren sollen für Bayern vorgestellt werden.
First elements to unify environmental RI efforts at national level: national scientific expectations across RIs (specific goals, expertise, data).
Creators: name: Cocquempot, Lucie
name: Magaldi, Marcello G.
name: Gremare, Antoine
name: Brix, Holger
name: Delauney, Laurent
Publisher: name: JERICO DS
Year: 2022

description: EU environmental Research infrastructures (RI) are the result of a construction by scientific communities and are therefore organised, most often, by thematic domains. They are designed to respond to scientific questions and/or service demands, and involve technological developments and innovations. However, a certain number of infrastructures are interconnected and/or allow for cross-cutting, interdisciplinary studies in various environments, from physical-chemical processes (climate, elemental cycles, etc.) to the functioning of systems. Research infrastructures in Earth system and environmental sciences are one of the cornerstones of the response to the major scientific challenges posed by the UN's SDGs for the 2030 horizon or those of the UN Decade of Ocean Sciences for Sustainable Development (2021-2030). They provide essential tools for making observations and acquiring data on processes and modelling them.
In order to optimize the position and role of JERICO-RI in the European landscape of environmental RIs and more particularly in the hydrosphere domain (such as EMSO, ARGO, DANUBIUS, AQUACOSM, eLTER), the present deliverable 1.2 aims at outlining a framework for collaboration with other IRs. Part of this task is being treated in the JERICO-S3 project by a top-down approach in JS3-WP2, the present work will ensure a bi-directional or even nested scientific approach by studying the landscape, the relationships already established by each national RI and the scientific and social needs.
 The main outcomes of this Deliverable D2.1 (preliminary version) are :
- A description of the landscape of environmental Research Infrastructures at European level, with a focus on those directly associated with the observation inland watersand ocean systems and therefore within the perimeter of JERICO-RI 
- Two national examples of structuring interactions between national nodes of European marine research infrastructures: France and Italy
- The formulation of preliminary suggestions for the implementation of a collaborative framework at  European level based on the prioritised societal needs expressed by the nations
This deliverable is a preliminary version, the full content will have to be discussed, enriched and validated by all WP1 members and representatives constituting the Nations Committee.
title: Visual servoing in 3D to enhance full farming in occluded vegetable sceneries
Creators: name: Josef Franko, Sivaparvathi Mannem
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: 3D visual servoing
subject: occlude vegetable scenes
subject: harvesting robots
subject: full farming
subject: market gardening
subject: automation

description: In recent years, there has been extensive research and development in the field of agricultural robots. The AgriPV-Bot is a multipurpose field robot to perform selective cultivation in market gardening. However, the cultivation of mixed vegetables in occluded sceneries where not all features are perceptible from top-down perspective poses a challenge especially in spot-farming applications. Therefore, this paper proposes a sweeping motion approach based on 3D visual servoing to utilize multiple view angles to effectively address this challenge. The approach is evaluated both in a simulation and real-world environment.
title: Datennutzungsstrategien von Ackerbaubetrieben – Wofür Landwirte ihre Daten nutzen
Creators: name: Schwager, Hendrik
name: Kühl, Jorrit
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Digitalisierung
subject: Datenmanagement
subject: Datennutzung
subject: Ackerbaubetriebe

description: Auf landwirtschaftlichen Betrieben werden immer häufiger digitale Technologien eingesetzt, um unterschiedliche Daten zu erheben. Obwohl die Verarbeitung dieser Daten den Betriebsleitern von Ackerbaubetrieben neue Potenziale eröffnet, ist bisher noch weitestgehend unerforscht, wofür und inwieweit Landwirt*innen ihre Daten nutzen. Die vorliegende Arbeit hat daher zum Ziel, das Datennutzungsverhalten von Ackerbaubetrieben näher zu untersuchen. Hierzu wurden insgesamt 60 Betriebsleiter*innen (n=60) von ökologisch und konventionell wirtschaftenden Ackerbaubetrieben qualitativ befragt. Aus der Befragung ging dabei unter anderem hervor, dass die betrieblichen Einflüsse (z. B. Flächenausstattung) einen größeren Einfluss auf die Bereitschaft zur Datennutzung haben als die Einflüsse des Betriebsleiters (z. B. Alter, Bildungsabschluss).
Anion Diffusion in Two-Dimensional Halide Perovskites
Creators: name: Akriti
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Chemical engineering not elsewhere classified
Nanomaterials

description: Technological advancements in electronics industry are driven by innovations in device fabrication techniques and development of novel materials. Halide perovskites are one of the latest additions to the semiconductor family. The performance of solid-state devices based on halide perovskites is now competing with other well-established semiconductors like silicon and gallium arsenide. However, the intrinsic instability of three-dimensional (3D) perovskites poses a great challenge in their widespread commercialization. The soft crystal lattice of hybrid halide perovskites facilitates anionic diffusion which impacts material stability, optoelectronic properties, and solid-state device performance. Two-dimensional (2D) halide perovskites with organic capping layers have been used for improving the extrinsic stability as well as suppressing intrinsic anionic diffusion. Nevertheless, a fundamental understanding of the role of compositional tuning, especially the impact of organic cations, in inhibiting anionic diffusion across the perovskite-ligand interface is missing. In our research, we first developed a library of atomically sharp and flat 2D heterostructures between two arbitrarily determined phase-pure halide perovskite single crystals. This platform was then used to perform a systematic investigation of anionic diffusion mechanism and quantify the impact of structural components on anionic inter-diffusion in halide perovskites. Stark differences were observed in anionic diffusion across 2D halide perovskite lateral and vertical heterostructures. Halide inter-diffusion in lateral heterostructures was found to be similar to the classical Fickian diffusion featuring continuous concentration profile evolution. However, vertical heterostructures show a “quantized” layer-by-layer diffusion behavior governed by a local free energy minimum and ion-blocking effects of the organic cations. For both lateral and vertical migrations, halide diffusion was found to be faster in perovskites with larger inorganic layer thickness. The increment becomes less apparent as the inorganic layer thickness increases, akin to the quantum confinement effect observed for band gaps. Furthermore, we found that bulkier and more rigid π-conjugated organic cations inhibit halide inter-diffusion much more effectively compared to short chain aliphatic cations. These results offer significant insights into the mechanism of anionic diffusion in 2D perovskites and provide a new materials platform for heterostructure assembly and device integration.
sj-docx-2-sjp-10.1177_14034948211045462 – Supplemental material for Prevalence of parental mental health conditions among children aged 0–16 years in Denmark: A nationwide register-based cross-sectional study
Creators: name: Christesen, Amanda M.S.
name: Knudsen, Camilla K.
name: Fonager, Kirsten
name: Johansen, Martin N.
name: Heuckendorff, Signe
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-docx-2-sjp-10.1177_14034948211045462 for Prevalence of parental mental health conditions among children aged 0–16 years in Denmark: A nationwide register-based cross-sectional study by Amanda M.S. Christesen, Camilla K. Knudsen, Kirsten Fonager, Martin N. Johansen and Signe Heuckendorff in Scandinavian Journal of Public Health
title: Ökonomische Bewertung und Vergleich von Pflanzenschutzverfahren mit Fokus auf Herbizidreduktion durch Digitalisierung am Beispiel des Zuckerrübenanbaus
Creators: name: Sponagel, Christian
name: Witte, Felix
name: Bahrs, Enno
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Pflanzenschutz
subject: Kostenvergleich
subject: Zuckerrüben
subject: Robotik
subject: Smart Spraying

description: Die Reduktion des Einsatzes von chemisch-synthetischen Pflanzenschutzmitteln ist ein wichtiges politisches Ziel. Neue Technologien wie Smart Spraying könnten deshalb künftig an Relevanz gewinnen. Ökonomische Analysen und Kostenvergleiche dieser Technologien sind somit wichtig. Der Beitrag vergleicht daher die Pflanzenschutzkosten der Verfahren eines Feldroboters, der Hacke-Bandspritze sowie Smart Spraying mit der Anhängespritze und analysiert die Herbizid-Vermeidungskosten im Sinne der Effizienz der Herbizidreduktion in Zuckerrüben. Die ökonomische Vorzüglichkeit von Smart Spraying hängt dabei wesentlich von der potenziellen Einsparung und der Rübenanbaufläche ab, wobei sich eine Vorzüglichkeit zu den anderen Verfahren bei 40 % Herbizideinsparung erst bei einer Rübenanbaufläche von etwa 85 ha ergibt. Auch der Einsatz der Hacke-Bandspritze mit 60 % Herbizideinsparung ist erst ab 75 ha Rübenfläche günstiger als eine Standard-Flächenspritzung. Der betrachtete Feldroboter wird vermutlich auch künftig vor allem im Ökolandbau zum Einsatz kommen, wo ein Komplettverzicht auf Herbizide essenziell ist.
sj-docx-1-psp-10.1177_01461672211047375 – Supplemental material for Attitude Moralization Within Polarized Contexts: An Emotional Value-Protective Response to Dyadic Harm Cues
Creators: name: D’Amore, Chantal
name: van Zomeren, Martijn
name: Koudenburg, Namkje
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-psp-10.1177_01461672211047375 for Attitude Moralization Within Polarized Contexts: An Emotional Value-Protective Response to Dyadic Harm Cues by Chantal D’Amore, Martijn van Zomeren and Namkje Koudenburg in Personality and Social Psychology Bulletin
Bir Klinik Araştırmanın Metodolojisi Ve Taksonomisi
Creators: name: AKOGLU, Haldun
Publisher: name: Zenodo
Year: 2018
Subjects: research
methodology
taxonomy

description: Tıpkı biyolojik taksonomide olduğu gibi çoğu çalışmayı kategorize etmek için benzer bir hiyerarşiden yararlanabiliriz (Şekil 1) [1,2]. Bir çalışmanın anatomisi, yani metodu, o çalışmanın neyi bildirip neyi bildiremeyeceğini bize anlatır. Biz okuyucular için en önemli handikaplardan biri de yazarların her zaman çalışmanın tipini belirtmemesi ve bizim çıkarım sağlamamıza olanak verecek ayrıntılardan bahsetmemeleridir. Daha kötüsü, yazarlar bazen çalışmanın tipini yanlış belirtebilir. Örneğin, randomize olmayan kontrollü çalışmaları, randomize kontrollü olarak; eşzamanlı olmayan kohort çalışmaları da vaka-kontrol çalışması olarak belirtmek sık karşılaşılan hatalardandır. Vaka-kontrol kelimesinin de uygunsuz biçimde her kontrol grubu olan çalışmada kullanıldığını görmekteyiz. Biyolojinin ana grupları olan hayvanlar ve bitkiler gibi, klinik araştırmaların da ana grupları deneysel ve gözl emsel çalışmalardır (Şekil 2).[3]
description: {"references": ["Guyatt G. Users' Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice, 3E. McGraw Hill Professional  2014.", "Schulz KF, Grimes DA. The Lancet Handbook of Essential Concepts in Clinical Research. The Lancet 2006.", "Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Designing Clinical Research. Lippincott Williams & Wilkins  2013.", "Funai EF, Rosenbush EJ, Lee MJ, Del Priore G. Distribution of study designs in four major US journals of obstetrics and gynecology. Gynecol Obstet Invest 2001;51:8\u201311.", "Buring JE. Epidemiology in Medicine. Lippincott Williams & Wilkins  1987.", "Lilienfeld DE. Lilienfeld's Foundations of Epidemiology. Oxford University Press, USA  2015.", "Greenhalgh T. How to Read a Paper. John Wiley & Sons  2014.", "Hayran M. Sa\u011fl\u0131k Ara\u015ft\u0131rmalar\u0131 \u0130\u00e7in Temel \u0130statistik. Omega Ara\u015ft\u0131rma  2011.", "Onat A. Lipids, lipoproteins and apolipoproteins among turks, and impact on coronary heart disease. Anadolu Kardiyol Derg 2004;4:236\u201345.", "Jones C. Evidence-based medicine: (1) Research methods. Pharmaceutical Journal 2002;268:839\u201341."]}
title: Organic sugar beet (Beta vulgaris L.) cultivation using the field robot Uckerbot as a system for sustainable farming
Creators: name: Steinherr, Leonie
name: Belo, Miguel
name: Trappe, Rodja
name: Acosta-Ortiz, Dafne
name: Birkmann, Amanda
name: Krachunova, Tsvetelina
name: Bloch, Ralf
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: organic sugar beet
subject: artificial intelligence
subject: field robot
subject: agroecology concept

description: The field robot Uckerbot is an autonomous mobile robot developed in a co-design process by farmers, industry and researchers for intra-row weed control in organic sugar beets. First on-farm results indicated better performance of the Uckerbot compared with common weed hoeing strategies. The robot showed 90% accuracy of sugar beet detection and 88% weed efficiency with a drill mechanism. Further development of the robot includes enabling it to work in a robot swarm for an increase in efficiency and working speed and enabling the image recognition system to distinguish between different weed types. This will allow the Uckerbot to skip tolerable wild field herbs for increased biodiversity.
Additional file 1 of Network analysis on psychopathological symptoms, psychological measures, quality of life and COVID-19 related factors in Chinese psychiatric patients in Hong Kong
Creators: name: Fung, Vivian Shi Cheng
name: Chan, Joe Kwun Nam
name: Chui, Eileena Mo Ching
name: Wong, Corine Sau Man
name: Chu, Ryan Sai Ting
name: So, Yuen Kiu
name: Chan, Jacob Man Tik
name: Chung, Albert Kar Kin
name: Lee, Krystal Chi Kei
name: Lo, Heidi Ka Ying
name: Cheng, Calvin Pak Wing
name: Law, Chi Wing
name: Chan, Wai Chi
name: Chang, Wing Chung
Publisher: name: figshare
Year: 2024
Subjects: Biological Sciences not elsewhere classified
Science Policy
Mental Health

description: Supplementary Material 1
Beyond Global Studies. An Introductory Lecture Into A Big History Course
Creators: name: Grinin, Leonid
name: Korotayev, Andrey
name: Baker, David
Publisher: name: Zenodo
Year: 2014
Subjects: Big History
Universe, evolution
grand narrative

description: Global studies can be made not only with respect to the humans who inhabit the Earth, they can well be done with respect to biological and abiotic systems of our planet. Such an approach opens wide horizons for the modern university education as it helps to form a global view of various processes. However, we can also ask ourselves whether the limits of our studies can be moved further.

Would not it be useful for the students to understand the evolution of our planet within the context of the evolution of our Universe? The need to see this process of development holistically, in its origins and growing complexity, is fundamental to what drives not only science but the human imagination. This shared vision of the grand narrative is one of the most effective ways to conceptualize and integrate our growing knowledge of the Universe, society, and human thought. Note that the respective discipline already exists and it has been developing quite successfully for more than three decades; it is denotes as Big History.
sj-docx-1-tan-10.1177_17562864211048336 – Supplemental material for Treatment patterns in pediatric patients with multiple sclerosis in Germany—a nationwide claim-based analysis
Creators: name: Frahm, Niklas
name: Peters, Melanie
name: Bätzing, Jörg
name: Ellenberger, David
name: Akmatov, Manas K.
name: Haas, Judith
name: Rommer, Paulus S.
name: Stahmann, Alexander
name: Zettl, Uwe K.
name: Holstiege, Jakob
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_17562864211048336 for Treatment patterns in pediatric patients with multiple sclerosis in Germany—a nationwide claim-based analysis by Niklas Frahm, Melanie Peters, Jörg Bätzing, David Ellenberger, Manas K. Akmatov, Judith Haas, Paulus S. Rommer, Alexander Stahmann, Uwe K. Zettl and Jakob Holstiege in Therapeutic Advances in Neurological Disorders
AI-powered systems biology models to study human disease
Creators: name: Chang, Wennan
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Bioinformatics and computational biology not elsewhere classified
Knowledge representation and reasoning

description: The fast advancing of high-throughput technology has reinforced the biomedical research ecosystem with highly scaled and commercialized data acquisition standards, which provide us with unprecedented opportunity to interrogate biology in novel and creative ways. However, unraveling the high dimensional data in practice is difficult due to the following challenges: 1) how to handle outlier and data contaminations; 2) how to address the curse of dimensionality; 3) how to utilize occasionally provided auxiliary information such as an external phenotype observation or spatial coordinate; 4) how to derive the unknown non-linear relationship between observed data and underlying mechanisms in complex biological system such as human metabolic network.
 In sight of the above challenges, this thesis majorly focused on two research directions, for which we have proposed a series of statistical learning and AI-empowered systems biology models. This thesis separates into two parts. The first part focuses on identifying latent low dimensional subspace in high dimensional biomedical data. Firstly, we proposed CAT method which is a robust mixture regression method to detect outliers and estimate parameter simultaneously. Then, we proposed CSMR method in studying the heterogeneous relationship between high dimensional genetic features and a phenotype with penalized mixture regression. At last, we proposed SRMR which investigate mixture linear relationship over spatial domain. The second part focuses on studying the non-linear relationship for human metabolic flux estimation in complex biological system. We proposed the first method in this domain that can robustly estimate flux distribution of a metabolic network at the resolution of individual cells.
title: Adaptive Mesh-Netzwerke zur Steigerung der Konnektivität von Landmaschinen
Creators: name: Julian Hagert, Benjamin Striller
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Mesh-Netzwerke
subject: Ad-hoc-Netzwerke

description: Die Versorgung landwirtschaftlicher Regionen und Flächen mit öffentlichem Mobilfunk ist nach wie vor unzulänglich und bremst den Einsatz digitaler Werkzeuge in der landwirtschaftlichen Produktion. Private, nomadische Campusnetze bieten einen Lösungsansatz, der durch zusätzlichen Einsatz von Ad-hoc-Netzen eine vollumfängliche praktische Nutzung ermöglicht. Im Beitrag wird die Möglichkeit, die Reichweite über ein WiFi-basiertes Mesh-Netzwerk zu vergrößern und als Folge dessen die Konnektivität von Maschinen zu erweitern, vorgestellt. Basierend auf vorbereitenden Messungen zu unterschiedlichen Netzparametern wurden Feldversuche konzipiert, Hardware auf Landmaschinen integriert und Daten erhoben. Die Auswertung der aufgezeichneten Daten gibt Aufschluss über die Eignung vermaschter Netzwerke in der landwirtschaftlichen Praxis.
Identification and estimation issues in Structural Vector Autoregressions with external instruments
Creators: name: Angelini, Giovanni
name: Fanelli, Luca
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2018
Subjects: SECS-P/05 Econometria

description: In this paper we discuss general identification results for Structural Vector Autoregressions (SVARs) with external instruments, considering the case in which r valid instruments are used to identify g ≥ 1 structural shocks, where r ≥ g. We endow the SVAR with an auxiliary statistical model for the external instruments which is a system of reduced form equations. The SVAR and the auxiliary model for the external instruments jointly form a `larger' SVAR characterized by a particularly restricted parametric structure, and are connected by the covariance matrix of their disturbances which incorporates the `relevance' and `exogeneity' conditions. We discuss identification results and likelihood-based estimation methods both in the `multiple shocks' approach, where all structural shocks are of interest, and in the `partial shock' approach, where only a subset of the structural shocks is of interest. Overidentified SVARs with external instruments can be easily tested in our setup. The suggested method is applied to investigate empirically whether commonly employed measures of macroeconomic and financial uncertainty respond on-impact, other than with lags, to business cycle uctuations in the U.S. in the period after the Global Financial Crisis. To do so, we employ two external instruments to identify the real economic activity shock in a partial shock approach.
sj-pdf-3-fas-10.1177_19386400211043363 – Supplemental material for Time and State Legislation Have Decreased Opioid Prescribing in Elective Foot and Ankle Surgery in the United States
Creators: name: Cunningham, Daniel J.
name: Kwon, Nicholas F.
name: Allen, Nicholas B.
name: Hanselman, Andrew M.
name: Adams, Samuel B.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 110323 Surgery

description: Supplemental material, sj-pdf-3-fas-10.1177_19386400211043363 for Time and State Legislation Have Decreased Opioid Prescribing in Elective Foot and Ankle Surgery in the United States by Daniel J. Cunningham, Nicholas F. Kwon, Nicholas B. Allen, Andrew M. Hanselman and Samuel B. Adams in Foot & Ankle Specialist
title: A globally relevant stock of soil nitrogen in the Yedoma permafrost domain
Creators: name: Strauss, Jens
name: Biasi, Christina
name: Sanders, Tina
name: Abbott, Benjamin W.
name: Von Deimling, Thomas Schneider
name: Voigt, Carolina
name: Winkel, Matthias
name: Marushchak, Maija E.
name: Kou, Dan
name: Fuchs, Matthias
name: Horn, Marcus A.
name: Jongejans, Loeka L.
name: Liebner, Susanne
name: Nitzbon, Jan
name: Schirrmeister, Lutz
name: Walter Anthony, Katey
name: Yang, Yuanhe
name: Zubrzycki, Sebastian
name: Laboor, Sebastian
name: Treat, Claire
name: Grosse, Guido
Publisher: name: Humboldt-Universität zu Berlin
Year: 2022
Subjects: subject: 550 Geowissenschaften

description: Nitrogen regulates multiple aspects of the permafrost climate feedback, including plant growth, organic matter decomposition, and the production of the potent greenhouse gas nitrous oxide. Despite its importance, current estimates of permafrost nitrogen are highly uncertain. Here, we compiled a dataset of >2000 samples to quantify nitrogen stocks in the Yedoma domain, a region with organic-rich permafrost that contains ~25% of all permafrost carbon. We estimate that the Yedoma domain contains 41.2 gigatons of nitrogen down to ~20 metre for the deepest unit, which increases the previous estimate for the entire permafrost zone by ~46%. Approximately 90% of this nitrogen (37 gigatons) is stored in permafrost and therefore currently immobile and frozen. Here, we show that of this amount, ¾ is stored >3 metre depth, but if partially mobilised by thaw, this large nitrogen pool could have continental-scale consequences for soil and aquatic biogeochemistry and global-scale consequences for the permafrost feedback.
title: Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability
Creators: name: Shanghua Liu, Anna Hedström
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: XAI
subject: deep learning
subject: indicator detection
subject: domain adaptation
subject: grassland monitoring

description: Grasslands are known for their high biodiversity and ability to provide multiple ecosystem services. Challenges in automating the identification of indicator plants are key obstacles to large-scale grassland monitoring. These challenges stem from the scarcity of extensive datasets, the distributional shifts between generic and grassland-specific datasets, and the inherent opacity of deep learning models. This paper delves into the latter two challenges, with a specific focus on transfer learning and eXplainable Artificial Intelligence (XAI) approaches to grassland monitoring, highlighting the novelty of XAI in this domain. We analyze various transfer learning methods to bridge the distributional gaps between generic and grassland-specific datasets. Additionally, we showcase how explainable AI techniques can unveil the model's domain adaptation capabilities, employing quantitative assessments to evaluate the model's proficiency in accurately centering relevant input features around the object of interest. This research contributes valuable insights for enhancing model performance through transfer learning and measuring domain adaptability with explainable AI, showing significant promise for broader applications within the agricultural community.
A “TRANSLATOR” TO BRIDGE DISCIPLINARY BOUNDARIES: AN EXPANSION OF AGENCY OF AN INSTRUCTIONAL DESIGNER
Creators: name: Ashby, Iryna V
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Higher education

description: Interdisciplinary education has been viewed as a way to give an edge to graduates in terms of developing creativity, innovation, ability to synthesize knowledge, and develop a range of professional skills (Haynes, 2017). However, the push towards interdisciplinarity as opposed to a disciplinary field is a challenge due to strong educational traditions, power dynamics, academic freedom, as well as the power faculty has to form their areas of research interest and disciplines (Ashby & Exter, 2019; Becher & Trowler, 2001; Klein, 2006). Likewise, the diversity of members of an interdisciplinary team can lead to negative forces that can only be overcome with open communication and understanding of both boundaries and ways to address them. This means that an interdisciplinary team may need to have a translator to help build common knowledge, facilitate engagement, and address tacit issues. Instructional designers have the potential to play a translator role. Rooted across the author’s three publications, the focus of this dissertation is to establish the vision for instructional designers getting a more proactive role on an interdisciplinary program design team (translator agency), where mediation of knowledge is needed across faculty to build a successful program.
Maternal insecure attachment representation as a long-term risk factor for disrupted mother–child-interaction and child mental health
Creators: name: Rost, Katharina
name: Ziegenhain, Ute
name: Fegert, Jörg M.
name: Buchheim, Anna
name: Köhler-Dauner, Franziska
Publisher: name: Universität Ulm
Year: 2024
Subjects: subject: CM experience
subject: Maternal attachment
subject: Mother–child-interaction
subject: Maternal helplessness
subject: Child mental health
subject: DDC 150 / Psychology

description: Abstract Maternal childhood maltreatment (CM) represents an important factor in the transmission of trauma that may lead to impaired child mental health. Apart from childhood maltreatment insecure attachment has been identified as a risk factor for insensitive caregiving behavior, which may affect child's mental health. The aim of this study is to identify the working mechanisms in the relationship between maternal CM and child mental health, considering maternal attachment representation, mother–child-interaction und maternal helplessness and fear. N  = 103 mother–child-dyads from a longitudinal cohort study were examined at four different measuring points. Data was assessed using self and external report questionnaires as well as the AMBIANCE scales during the Strange Situation Procedure and the Adult Attachment Projective Picture System ( AAP ). Maternal CM experience did not predict an insecure attachment representation ( OR  = 2.46 [0.98, 6.53], p  = .060). Maternal insecure attachment was associated with higher AMBIANCE scores ( F (8, 94) = 11.46, p  < .001), which indicates more disrupted communication between mother and child. AMBIANCE scores in turn predicted higher self-perceived helplessness ( F (9, 93) = 8.62, p  < .001) and fear ( F (9, 93) = 7.40, p  < .001) in mothers. Helplessness and fear both were associated with higher SDQ -scores, indicating more mental health problems in children ( F (10, 92) = 3.98, p  < .001; F (10, 92) = 3.87, p  < .001). The results of this study highlight how even insecure attachment in a low-risk sample has a long-term impact on parenting behavior and child mental health, therefore underlining the need of early intervention programs in affected and at-risk families.
Additional file 33 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 33. Identification of Luteolin (Cas 491-70-3, C15H10O6, M.W.286.24).
DEVELOPMENT OF SELECTIVELY INTERACTING SOFT MATERIALS FOR GAS SENSOR APPLICATIONS
Creators: name: Hodul, John N
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Inorganic materials (incl. nanomaterials)
Macromolecular materials
Structure and dynamics of materials
Macromolecular and materials chemistry not elsewhere classified
Organic chemistry not elsewhere classified
Chemical engineering not elsewhere classified
Mechanical engineering not elsewhere classified
Colloid and surface chemistry
Analytical spectrometry

description: Indoor air quality has decreased in many existing building infrastructures due to poor ventilation and an increase in synthetic chemicals and bioeffluents in these interior locations. Poor air quality has been linked to deleterious health effects, and thus, monitoring the presence of these compounds in these interior environments is of increasing importance with respect to public health. As such, there is a critical need for next-generation low-cost, selective, and sensitive indoor gas sensors. Current gas detection systems require multicomponent, complex and cumbersome devices or require high power input to achieve detection at meaningful concentrations. Here, we detail the efforts on the incorporation of different surface chemistries onto microelectromechanical systems (MEMS) resonant mass gas sensors to monitor a variety of gas analytes. These analytes span from benzene, toluene, xylene (BTX), carbon dioxide (CO2), and formaldehyde. These soft surface chemistries, ranging from graphene to polymer to nanocomposite materials, when incorporated onto mass sensors allow for selective and sensitive real time monitoring while remaining processable, low-cost, low-power, and small-scale.
STABLE AND EFFICIENT METHODS FOR STRUCTURED MATRIX COMPUTATIONS
Creators: name: Ou, Xiaofeng
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Numerical and computational mathematics not elsewhere classified
Numerical analysis

description: In this dissertation, we study stable and efficient methods for structured matrix computations. In particular, we present stability analysis, stabilization strategies, and efficiency improvements for some major structured matrix algorithms. Structured matrix computations now play an important role in many applications. Compared to traditional algorithms, it can reduce significantly the algorithm complexity, by capturing and taking advantage of the intrinsic structures of the underlying problems. This dissertation overcomes some major challenges and presents some novel results in the design and analysis of structured matrix algorithms. These results have been previously overlooked due to the complex nature of the structured methods. We show how to integrate many stabilization techniques into efficient structured methods. The stability and efficiency of the resulting algorithms are justified both theoretically and numerically. In Chapter 2, we propose a stable matrix version of the fast multipole method (FMM) in the complex plane. The advantage of our stable FMM is that all the intermediate low-rank matrices will have bounded entries and bounded norms, so that they can be computed stably and efficiently. Based on this, we give a formal proof of the backward stability of our stable FMM. In Chapter 3, we propose a robust and superfast divide-and-conquer eigensolver (SuperDC) for symmetric structured matrices, which significantly improves some earlier basic algorithms. The complexity of SuperDC for getting the full eigenvalue decomposition is quasilinear, as compared to the cubic cost of traditional divide and conquer. Such acceleration is achieved by integrating our stable FMM in a novel but subtle way with the modified Newton-Raphson method for the solution of some intermediate rank-one modification eigenvalue problems. Numerical tests demonstrate its superior performance in terms of speed and memory. To accommodate more general problems, we also extend SuperDC to compute the singular value decomposition of nonsymmetric structured matrices. In Chapter 4, we consider the efficient factorization update for some shifted discretized matrices. After an $O(n)$ precomputation stage, the factorization update for each new shift needs only $O(\sqrt{n}\log n)$, which is significantly more efficient than doing refatorizations. The various contributions of this dissertation significantly advance the reliability, accuracy, and efficiency of structured matrix computations.
sj-pdf-1-uar-10.1177_10780874211021688 - Supplemental material for Representation in American Cities: Who Runs for Mayor and Who Wins?
Creators: name: Kirkland, Patricia A.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 120599 Urban and Regional Planning not elsewhere classified
subject: FOS: Social and economic geography

description: Supplemental material, sj-pdf-1-uar-10.1177_10780874211021688 for Representation in American Cities: Who Runs for Mayor and Who Wins? by Patricia A. Kirkland in Urban Affairs Review
A pancreatic cancer organoid-in-matrix platform shows distinct sensitivities to T cell killing
Creators: name: Lahusen, Anton
name: Cai, Jierui
name: Schirmbeck, Reinhold
name: Wellstein, Anton
name: Kleger, Alexander
name: Seufferlein, Thomas
name: Eiseler, Tim
name: Lin, Yuan-Na
Publisher: name: Universität Ulm
Year: 2024
Subjects: subject: Cancer microenvironment
subject: Cancer models
subject: Tumour heterogeneity
subject: Tumour immunology
subject: DDC 610 / Medicine & health

description: Abstract Poor treatment responses of pancreatic ductal adenocarcinoma (PDAC) are in large part due to tumor heterogeneity and an immunosuppressive desmoplastic tumor stroma that impacts interactions with cells in the tumor microenvironment (TME). Thus, there is a pressing need for models to probe the contributions of cellular and noncellular crosstalk. Organoids are promising model systems with the potential to generate a plethora of data including phenotypic, transcriptomic and genomic characterization but still require improvements in culture conditions mimicking the TME. Here, we describe an INTERaction with Organoid-in-MatriX ("InterOMaX") model system, that presents a 3D co-culture-based platform for investigating matrix-dependent cellular crosstalk. We describe its potential to uncover new molecular mechanisms of T cell responses to murine KPC ( LSL- Kras G12D /+27 /Trp53 tm1Tyj/J /p48 Cre/ + ) PDAC cells as well as PDAC patient-derived organoids (PDOs). For this, a customizable matrix and homogenously sized organoid-in-matrix positioning of cancer cells were designed based on a standardized agarose microwell chip array system and established for co-culture with T cells and inclusion of stromal cells. We describe the detection and orthogonal analysis of murine and human PDAC cell populations with distinct sensitivity to T cell killing that is corroborated in vivo . By enabling both identification and validation of gene candidates for T cell resistance, this platform sets the stage for better mechanistic understanding of cancer cell-intrinsic resistance phenotypes in PDAC.
Additional file 1 of Neonatal outcomes according to different glucose threshold values in gestational diabetes: a register-based study
Creators: name: Kariniemi, Kaisa
name: Vääräsmäki, Marja
name: Männistö, Tuija
name: Mustaniemi, Sanna
name: Kajantie, Eero
name: Eteläinen, Sanna
name: Keikkala, Elina
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified

description: Supplementary Material 1.
Additional file 19 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 19. Identification of rutin (Cas 153-18-4, C27H30O16, M.W. 610.52).
title: Vergleich zwischen luft- und bodengeführten Laser-Scannern zur Bestimmung der Laubwandhöhe im Weinbau
Creators: name: Björn Poss, Nikos Tsoulias
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Laser-Scanner
subject: Weinbau
subject: Laubwandhöhe
subject: UAV
subject: LiDAR

description: Die Methode zur Ermittlung der Dosierung von Pflanzenschutzmitteln im Weinbau basiert nach aktueller guter fachlicher Praxis auf dem Laubwandflächenmodell. Eine der für diese Berechnung benötigten Größen ist die Laubwandhöhe. Diese kann im Bestand jedoch sehr variabel sein, was bei manueller Messung an nur einigen wenigen Stellen zu einer ungenauen Aufwandmengenkalkulation führt. Ziel dieser Arbeit war es daher, neue Verfahren zur genaueren Bestimmung der Laubwandhöhe im Bestand zu untersuchen. Mithilfe von Laser-Scannern, die sowohl vom Boden aus während Überfahrten als auch mit Drohnen aus der Luft Daten aufnehmen, soll der Bestand analysiert und die Laubwandhöhe ermittelt werden. Dazu wurden die Sensorsysteme validiert und beide Verfahren miteinander verglichen.