cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Innovative form generator for recording complex support programmes
Creators: name: Aue, Alexander
name: Ackermann, Andrea
name: Röder, Norbert
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: form generator
subject: form builder
subject: data collection
subject: unstructured data
subject: data inheritance
subject: hierarchical data
subject: relational data

description: In an effort to incentivize environmental protection actions among farmers, different administrations offer various support programmes. These programmes differ between states, change over time and are published in non-machine-readable formats. Since the lack of a nationwide database hampers the comprehensive evaluation of these programmes, we propose a flexible form generator for standardizing the programme descriptions. Our tool meets the needs of researchers as it facilitates the transformation of text-based definitions to a well-structured relational database with its graphical questionnaire user interface. Redundancies in data input are avoided by allowing the collected data of a support program to be inherited by another and to extend it by additional properties or overwriting existing ones. Furthermore, it accommodates complex data collection needs, supporting limitless sub-questions and customized input fields. The resulting hierarchical data is automatically stored in a relational database, ensuring a user-friendly experience both for quantitative researchers and data analysts. This innovative approach enhances the evaluation of e.g. environmental protection programmes.
title: Automatisierte Unterscheidung von Feldarbeit und Straßenfahrt für Landmaschinen mit Hilfe von unüberwachten KI-Methoden
Creators: name: Manuel Geil, Jan-Henrik Helmig
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Tätigkeitsklassifikation
subject: Dokumentation
subject: Maschinendaten
subject: Clustering

description: Manuel Geil, Jan-Henrik Helmig1, Julian Jour1, Bodo Mistele1, Jens Peters1, Katharina Stahl1 und Andreas Wübbeke1 Abstract: Die Dokumentation von Daten in der Agrarwirtschaft erweist sich für Landwirte als zunehmend aufwändige Tätigkeit, welche meist immer noch manuell erfolgt. Ziel unserer Forschungsarbeit ist es, Maschinendaten zu nutzen, um zwischen Feldarbeit und Straßenfahrt automatisch zu klassifizieren. Die Maschinendaten werden als kontinuierlicher Strom vom Maschinenstart bis zum Ausschalten der Maschine übermittelt und können Daten aus unterschiedlichen Tätigkeiten enthalten. Um ein manuelles Labeling als auch Erfassen der Feldgrenzen zu vermeiden, wird ein Ansatz verfolgt, mittels eines dichtebasierten Clustering-Verfahrens die Daten zu klassifizieren. Dieses Verfahren schien aufgrund der Dichte der Datenpunkte auf den Schlägen als vielversprechend. Im weiteren Verlauf konnte die Methode durch das Hinzuziehen der Fahrtgeschwindigkeit und das Bilden konvexer Hüllen weiter verbessert werden.
Verfahrensdokumentation für FSPlay: Familienskulptur mit Playmobilfiguren
Creators: name: Sydow, K. V.
Publisher: name: ZPID (Leibniz Institute for Psychology) – Open Test Archive
Year: 2025
Subjects: subject: 150

description: Mit dem FSPlay werden innere "Arbeitsmodelle" (Schemata) von Bindungs-/Familien-/Partnerschafts-/Freundschaftsbeziehungen erhoben. Anhand mehrerer Spielfiguren sollen eine oder mehrere Skulpturen gestaltet werden, z. B. zu aktuellen Familiensituation, zur Vergangenheit und/oder Zukunft. Die Testkonstruktion orientierte sich u.a. an der Bindungstheorie und systemischen Familientheorie und anderen Figurenplatzierungsverfahren. Reliabilität: Die Interraterreliabilität basierend auf zwei unabhängigen Ratings von 30 Skulpturen wurde längsschnittlich berechnet (.70 < = Kappa < = 1.00). Validität: Die Augenscheinvalidität und der Aufforderungscharakter von FSPlay erwiesen sich als sehr hoch. Die konvergente Validität wurde nachgewiesen.
description: With the FSPlay, inner “working models” (schemata) of attachment/family/partnership/friendship relationships are collected. Using several play figures, one or more sculptures should be created, e.g. on the current family situation, the past and/or the future. The test construction was based on attachment theory, systemic family theory and other figure placement methods. Reliability: The interrater reliability based on two independent ratings of 30 sculptures was calculated longitudinally (.70 < = kappa < = 1.00). Validity: The face validity and the prompting character of FSPlay proved to be very high. Convergent validity was confirmed.
title: UAV-gestütztes Spot-Spraying zur schwellwertbasierten Beikrautregulierung im Mais
Creators: name: Konstantin Nahrstedt, Tobias Reuter
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Beikrauterkennung
subject: Spot-Spraying
subject: Precision Agriculture
subject: Remote Sensing
subject: UAV

description: Beikräuter werden in der landwirtschaftlichen Praxis flächendeckend reguliert. Da sich signifikante Ertragsverluste in Maisbeständen jedoch erst ab einer bestimmten Beikrautbesatzdichte ergeben, ist eine flächendeckende Bekämpfung nicht immer erforderlich. Die teilflächenorientierte Ausbringung von Pflanzenschutzmitteln (PSM) mittels Spot-Spraying bietet durch selektiven Mitteleinsatz ökonomische sowie ökologische Vorteile. Für die hierzu erforderliche präzise Erfassung des Beikrautbesatzes eignen sich drohnengestützte Kamerasysteme. Im vorgestellten Versuchsvorhaben wurde eine Maisfläche kurz vor der PSM-Applikation beflogen und der Beikrautbestand klassifiziert. Mit einer Gesamtgenauigkeit von 92 % bzw. 93 % konnten Maispflanzen, Beikräuter und offener Boden differenziert werden. In randomisiert angelegten Parzellen wurden anschließend Applikationspolygone nach unterschiedlichen Schwellwerten für eine Mittelausbringung erstellt. In einer Erfolgskontrolle wurde die Verteilung behandelter und unbehandelter Beikräuter erfasst, um die Applikation zu evaluieren. Dabei zeigte sich eine hohe Übereinstimmung zwischen der drohnengestützten Applikationskarte und der Terminalapplikationskarte der Landmaschine. Anhand der Ertragskartierung wurden nur geringfügige Unterschiede im Maisertrag zwischen vollständig behandelten und schadschwellbehandelten Parzellen festgestellt.
sj-pdf-1-vdi-10.1177_10406387211049217 – Supplemental material for Intrinsic fluorescence–based label-free detection of bovine amyloid A amyloidosis
Creators: name: Ujike, Naoki
name: Iwaide, Susumu
name: Ono, Yuki
name: Okano, Takayuki
name: Murakami, Tomoaki
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-pdf-1-vdi-10.1177_10406387211049217 for Intrinsic fluorescence–based label-free detection of bovine amyloid A amyloidosis by Naoki Ujike, Susumu Iwaide, Yuki Ono, Takayuki Okano and Tomoaki Murakami in Journal of Veterinary Diagnostic Investigation
title: Mapping invasive Lupine on grasslands using UAV images and deep learning
Creators: name: Wijesingha, Jayan
name: Schulze-Brüninghoff, Damian
name: Wachendorf, Michael
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: invasive species
subject: grassland
subject: deep learning
subject: segmentation
subject: UAV images

description: Semi-natural grasslands are threatened by invasive species. This study employs high-resolution images captured by an unmanned aerial vehicle (UAV) and deep learning techniques to map Lupine (Lupinus polyphyllus Lindl.) in grasslands, which is one of the most common invasive species in European grasslands. The methodology involves RGB image acquisition, structure from motion processing, canopy height modelling, and deep learning semantic segmentation model development. The resulting models were trained on RGB data, canopy surface height data, and their combination. The models demonstrate high accuracy and efficacy in identifying Lupine distribution. These models offer a valuable tool for continuously monitoring and managing invasive Lupine, with potential applications in similar environments without retraining. The method is beneficial for early-stage invasion detection, facilitating more targeted management efforts for ecologists.
Journeys in storytelling : representations of Iran in British travel writing (1800-1859)
Creators: name: Benjamin, Brenden
Publisher: name: The University of St Andrews
Year: 2025
Subjects: Iranian history
Iran
Travel
Diplomacy
Qajar
Persian language
Persian poetry
British Empire
Nineteenth century
Oral narratives

description: When the first wave of British diplomats journeyed to Iran in the opening decades of the nineteenth century, they observed a trait that seemed to define every area of Iranian life: duality. To James Morier, John Malcolm, and James Baillie Fraser, the behaviors, thoughts, artforms, and cultural practices of Iran’s people appeared inherently contradictory yet inseparable from the very subjects with which they were in conflict. At this time, Iran was relatively unknown to Britain. As these early travelers embarked on voyages of cultural and anthropological exploration, they witnessed the hostilities between Iran’s newly established Qajar dynasty, its warring regional tribes, and an increasingly powerful clerical class. Meanwhile, Iran’s jarring encounters with British, Russian, and French imperial power during this period forced the nation to confront some unpleasant realities about the shortcomings of its ruling establishments. Travel and its themes of uncertainty, instability, introspection, and retrospection would serve as the framework for the representations of Iran that these writers brought to the British public. These works are critical and insightful, and played a crucial role in shaping British attitudes about Iran. Central to their observations of Iranian duality is a tension between the nation’s institutional powers and its people, whose understanding of their wider cultural history often conflicts with dynastic and clerical policy. That tension’s portrayal in the works of Morier, Malcolm, Fraser, and Edward FitzGerald will be the primary focus of this study.
title: Digitale Experimentierfelder zur Vernetzung in Technik und Wissen für eine digitale Landwirtschaft auf Zukunftsbetrieben in Baden-Württemberg
Creators: name: Hauke Delfs, Annabell Cankaya
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Knowhow
subject: Digitalisierung
subject: Bildung und Beratung
subject: landwirtschaftliche Praxis
subject: Wissens-transfer
subject: Baden-Württemberg

description: Im Rahmen des Projektes TechKnowNet soll die Etablierung digitaler Systeme auf landwirtschaftlichen Betrieben vorangebracht und entsprechende Lehrformate für den Unterricht an den Fachschulen für Landwirtschaft erstellt werden. Auf zehn landwirtschaftlichen Betrieben in Baden-Württemberg wird der Status quo der aktuell eingesetzten digitalen Technologien erhoben sowie deren zukünftiger Einsatz praxisnah begleitet. Die daraus hervorgehenden Erkenntnisse werden in Empfehlungen für die landwirtschaftliche Praxis sowie in Lehrformate an Fachschulen und in die Beratung übertragen. Digitale Technologien sind in einigen Bereichen bereits gut etabliert, jedoch ist der Bedarf an Unterstützung in Beschaffung und Beratung hoch.
Additional file 18 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 18: Supplementary Fig. 9. Multivariate analysis of OS for the three genes in LSCC. (A) Multivariate analysis for TWIS1 on OS. (B) Multivariate analysis for EPO on OS. (C) Multivariate analysis for AGPS on OS.
title: Deep Learning-based UAV-assisted grassland monitoring to facilitate Eco-scheme 5 realization
Creators: name: Basavegowda, Deepak H.
name: Höhne, Marina M.-C.
name: Weltzien, Cornelia
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: biodiversity monitoring
subject: result-based AES
subject: object detection
subject: cross-domain knowledge transfer

description: Eco-scheme 5 has been introduced to promote biodiversity in permanent grasslands through sustainable land management. While this scheme motivates farmers through result-based remuneration, it also entails a significant monitoring cost in terms of time and money to identify indicators manually. To overcome this burden and facilitate the realization of Eco-scheme 5, we developed an object detection model based on Deep Learning (DL) to automate the indicator species identification. First, we trained and evaluated the model on high-resolution Unmanned Aerial Vehicle (UAV) data. The model achieved an Average Precision (AP) rate of 80.8 AP50, but limited training data and the class imbalance problem among indicators affected the model performance. To address these problems, we enriched training data with proximal images of indicators, resulting in a performance gain from 80.8 AP50 to 95.3 AP50. Our results demonstrate the potential of DL and UAV applications in assisting result-based agri-environmental schemes (AES) such as Eco-scheme 5.
Examining black soldier fly (Hermetia illucens) composting for urban ag specialty crop production
Creators: name: Terrell, Catherine
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Invertebrate biology

description: Urban farmers face many unique challenges associated with the urban environment in which they produce. One of the most expensive and limited resources is access to healthy soils. There is often low organic matter and industrial contaminants present in urban soils, resulting in the need for remediation, such as capping and importing topsoil and compost. Recently, black soldier fly larvae (Hermetia illucens; BSF) have been recognized as an efficient organism used to break-down organic matter and produce a soil amendment comparable to traditional fertilizers. These fly larvae can feed on a wide range of organic waste (plant material, biosolids, food waste, etc.), can break down contaminants such as pharmaceuticals or pesticides, and impact the bioavailability of heavy metals. The resulting material is a digestate that can be applied as a soil amendment, much like the vermicomposting processes of worms. Fly pupae can be harvested and used as a nutrient dense feedstock for livestock or reared to adults to continue the cycle of composting. Knowledge gaps remain regarding the impact of feedstock on the nutritional quality of the digestate for crop production and the application and implementation of BSF composting on-farm. We found that larval weight is unaffected by diet streams, however, larval length is improved on food waste streams. Additionally, crop growth varies when grown with BSFL digestate.
Rank: Defense Manpower Data Center, United States Department of Defense (2024-01-09). Military by Rank: Military by Rank | Total Armed Forces | Female, 2023. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 052-004-001
Creators: name: United States Department Of Defense
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2025
Subjects: Armed Services
Military Personnel

description: Provides counts of active-duty military officers and enlisted personnel, by rank, service branch, and sex. Statistics are presented by fiscal year, with counts referring to September 30 of a given year. Beginning 2021, the counts for Air Force includes those in the Space Force.
title: Weed detection with YOLOv8-seg in UAV-imagery
Creators: name: Maren Pukrop, Simon Pukrop
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: weed mapping
subject: deep learning
subject: UAV-data
subject: instance segmentation

description: Accurate site-specific weed management depends on precise weed localization. In 2023, the YOLOv8 architecture was introduced, providing an accessible instance segmentation tool available in five scaled versions, each with an increasing number of trainable parameters. This study focuses on weed mapping on high-resolution UAV imagery, emphasizing the detection of small weed plants. The research investigates the detection of Cirsium arvense and other weed species in maize. To aid this research, RGB UAV imagery was obtained on three different dates ranging from May to June 2022. The detection of weeds was performed on five different YOLOv8 models. During validation, it was demonstrated that the models' accuracy in detecting weeds with many small plants is comparable, indicating no need for a larger model. Recall is low for small objects measuring only a few cm² across all five models tested but increases as object size increases.
title: Towards on-line monitoring and route re-planning in arable crop harvest
Creators: name: Santiago Focke Martinez, Isaak Ihorst
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: route planning
subject: smart farming
subject: spatial reasoning
subject: ontologies

description: Route planning for farming machines can be used as a tool to improve the efficiency of arable farming operations. However, discrepancies between actual process parameters and the parameters used for route planning might result in the need to re-plan using updated/corrected planning parameters. This paper presents a concept for process monitoring and route re-planning in arable harvesting operations, together with updates on a previously presented route-planning tool developed to support re-planning during harvesting, and a set of monitoring components developed to generate field worked-area grid-maps and to monitor deviations between planned inner-field tracks and actual machine transit. The newly implemented re-planning features in the route planner and the monitoring components were tested under a simulated harvesting scenario.
title: Verbindung von Wissenschaft und Praxis: WiLaDi
Creators: name: Pfaff, Sara Anna
name: Munz, Johannes
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Digitalisierung
subject: Entscheidungsunterstützung
subject: Economies of Scale
subject: Precision Agriculture

description: Mittlerweile stehen zahlreiche digitale Technologien in der Landwirtschaft zur Verfügung, welche positive Effekte auf die ökologische, ökonomische und soziale Nachhaltigkeit versprechen. Allerdings ist die aktive Nutzung digitaler Technologien z. T. verhalten, was sich vor allem mit finanziellen Barrieren begründen lässt. Aktuell gibt es nur bedingt Möglichkeiten für Landwirte, herstellerunabhängige Informationen und Entscheidungsunterstützungen zu nutzen. Daher wurde im Rahmen des DiWenkLa-Projektes in den Jahren 2021 und 2022 das ökonomisch basierte Online-Tool „WiLaDi“ (Wirtschaftlichkeitsrechner Landwirtschaft Digital) entwickelt. WiLaDi basiert auf einem ökonomischen Modell orientiert an der Leistungs-Kostenrechnung und berücksichtigt insgesamt 27 Technologievariationen im Ackerbau. Das Tool ermöglicht es Landwirten, die Kosten und Nutzen je Technologie betriebsindividuell zu errechnen sowie weiteres technologiespezifisches Informationsmaterial einzusehen. Zukünftig soll WiLaDi nicht nur auf der einzelbetrieblichen Ebene, sondern auch in Kooperation mit Bildungs- und Beratungsakteuren nutzbar sein.
sj-docx-1-psp-10.1177_01461672211047016 – Supplemental material for Making Diversity Work for Everybody? The Double-Edged Sword of All-Inclusive Diversity
Creators: name: Small, Payton A.
name: Major, Brenda
name: Kaiser, Cheryl
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_01461672211047016 for Making Diversity Work for Everybody? The Double-Edged Sword of All-Inclusive Diversity by Payton A. Small, Brenda Major and Cheryl Kaiser in Personality and Social Psychology Bulletin
"DISPLACEMENT-IN-PLACE": AN ETHNOGRAPHIC ANALYSIS OF INDIGENOUS BATWA PEOPLE'S LIVED EXPERIENCE WITH CONSERVATION AND DEVELOPMENT
Creators: name: Schulze, Savannah M
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Anthropology not elsewhere classified

description: This dissertation explores the complex relationship between conservation and Indigenous Peoples through an ethnographic study of former hunter-gathers, the Batwa, and their interactions with conservation and related development projects on the outskirts of Bwindi Impenetrable National Park, Uganda. Overtime the Batwa at Bwindi have experienced multiple waves of displacement. Historically, the Batwa lost forest territories to agricultural migrants, and more recently conservation policies eliminated all forest access to conserve endangered mountain gorillas and promote gorilla tourism. I investigate how the Batwa’s physical displacement from the forest and its’ resources shapes their contemporary lives on the forest edge. In addition to the Batwa’s physical displacement, I argue that current global environmental policies and conservation and development interventions are further perpetuating Batwa marginalization or “displacement-in-place” (Mollett, 2014, 2015). I explore how “displacement-in-place” is manifested at multiple scales of governance by conducting research across scales.This project includes two years of ethnographic data collection at Bwindi (2016-2018) and collaborative event ethnography at the 2016 IUCN World Conservation Congress in Honolulu, Hawaii. I combine participant observation, oral history interviews, and elder focus groups to understand the Batwa’s historical and current interactions with conservation and related development projects. In addition, I conducted cultural mapping exercises with the Bwindi Batwa to better understand their interactions with the landscape. Finally, semi-structured interviews were conducted with local wildlife authorities, international wildlife conservation and development organizations working in the region, along with non-profit organizations focused on Batwa issues. These data are presented in three chapters that examine 1) how conservation and development reproduce inequalities and cause new forms of displacement or “displacement-in-place” and apply the concept of motility (Weig, 2015) or capacity to be mobile as an adaptive strategy on the forest edge, 2) local Indigenous experiences with global environmental governance (GEG) to shed light on structural and systemic barriers present at multiple scales of governance, and 3) examine the Batwa’s engagement with cultural tourism and integrated conservation and development projects. Drawing on data from these two field sites, I illustrate how current conservation and development interventions are insufficient to address Batwa needs at Bwindi and how GEG can fail Indigenous Peoples by not addressing recognitional dimensions of environmental justice. In addition, I present several recommendations to improve the relationship between Indigenous Peoples, conservation, and development.
title: Exploring explainability formats to aid decision-making in dairy farming systems
Creators: name: Mengisti Berihu Girmay, Felix Möhrle
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: explainability
subject: decision support
subject: dairy farming
subject: trust

description: In this paper, we examine different approaches to explaining decision support in herd management systems for their effects on comprehensibility and trust. To this end, we present a hypothetical system for assessing the risk of mastitis, a common infectious disease in dairy cattle. For this system, we design four explanation formats to present risk assessments to farmers. We collect their feedback in a survey to get suggestions for designing systems that are well accepted. In our work, it was not possible to identify one explanation format that is preferable to all others. Rather, a finding was that herd management systems should optimally support multiple explanation formats and allow switching between them depending on the situation.
Additional file 19 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 19: Supplementary Fig. 10. Spearman’s correlation analysis was conducted between the expression of BMP2 and the pathway score. (A) Correlation analysis of the expression of EMT markers with BMP2. (B) Correlation analysis of angiogenesis with BMP2. (C) Correlation analysis of the PI3K_AKT_mTOR_pathway with BMP2.
ON GEOMETRIC AND ALGEBRAIC PROPERTIES OF HUMAN BRAIN FUNCTIONAL NETWORKS
Creators: name: Duong-Tran, Duy
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Other engineering not elsewhere classified

description: It was only in the last decade that Magnetic Resonance Imaging (MRI) technologies have achieved high-quality levels that enabled comprehensive assessments of individual human brain structure and functions. One of the most important advancements put forth by Thomas Yeo and colleagues in 2011 was the intrinsic functional connectivity MRI (fcMRI) networks which are highly reproducible and feature consistently across different individual brains. This dissertation aims to unravel different characteristics of human brain fcMRI networks, separately through network morphospace and collectively through stochastic block models.
The quantification of human brain functional (re-)configurations across varying cognitive demands remains an unresolved topic. Such functional reconfigurations are rather subtle at the whole-brain level. Hence, we propose a mesoscopic framework focused on functional networks (FNs) or communities to quantify functional (re-)configurations. To do so, we introduce a 2D network morphospace that relies on two novel mesoscopic metrics, Trapping Efficiency (TE) and Exit Entropy (EE). We use this framework to quantify the Network Configural Breadth across different tasks. Network configural breadth is shown to significantly predict behavioral measures, such as episodic memory, verbal episodic memory, fluid intelligence and general intelligence.
To properly estimate and assess whole-brain functional connectomes (FCs) is among one of the most challenging tasks in computational neuroscience. Among the steps in constructing large-scale brain networks, thresholding of statistically spurious edge(s) in FCs is the most critical. State-of-the-art thresholding methods are largely ad hoc. Meanwhile, a dominant proportion of the brain connectomics research relies heavily on using a priori set of highly-reproducible human brain functional sub-circuits (functional networks (FNs)) without properly considering whether a given FN is information-theoretically relevant with respect to a given FC. Leveraging recent theoretical developments in Stochastic block model (SBM), we first formally defined and subsequently quantified the level of information-theoretical prominence of a priori set of FNs across different subjects and fMRI task conditions for any given input FC. The main contribution of this work is to provide an automated thresholding method of individuals’ FCs based on prior knowledge of human brain functional sub-circuitry.
BGC-Argo synthetic profile file processing and format on Coriolis GDAC
Creators: name: Bittig, Henry
name: Wong, Annie
name: Plant, Josh
Publisher: name: Ifremer
Year: 2022

description: The current V3.1 Argo netCDF format that produces a pair of core- and b- profile files per cycle, with N_PROF > 1, allows storage of all profile information returned from BGC floats, in a manner that is as close to float output as possible. These can include multiple full-depth profiles with different pressure levels, multiple shallow profiles with different pressure levels, and recording of spatial and/or temporal delays between the CTD and various BGC sensor outputs. The advantage of this data management approach is that float outputs are faithfully recorded, so that any reprocessing demands that require access to the raw data can be met with ease. However, when measurements from multiple sensors are not aligned during onboard processing by the floats, they are recorded in their raw pressure locations. This makes it difficult to study these BGC parameters as co-located measurements, since some data manipulation to align them needs to be done before scientific studies can be carried out. Moreover, because the V3.1 format requires that all parameters have dimensions (N_PROF, N_LEVELS), where N_LEVELS = maximum number of vertical levels, the files are large in file size and are mostly filled with white space. The goal of a simplified synthetic profile is to co-locate as many BGC observations as possible while preserving the character of the sampling pattern, i.e., sample interval, number of samples, and approximate pressure locations. Data come from the single-cycle c- and b-files. Only c- and b- parameters are included (with all subfields), which means no intermediate BGC parameters (i-argo params) are included. The synthetic pressure axis is constructed from the BGC sampling levels from each cycle. This means that there is no fixed vertical grid for all floats and all cycles. At the end, each single-cycle synthetic profile will have dimension N_PROF = 1. The co-location takes different vertical attachments of BGC sensors into account by displacing the pressure location (based on the config parameter vertical_pressure_offset), which is not the case in core- or b- profile files. This document details the processing steps used to generate synthetic profile data from Argo profile data. It also describes the format of the NetCDF files produced by the Coriolis GDAC to store the synthetic profile data.
title: Robotic process control for multi-vegetable micro spot-farming using digital twin simulation
Creators: name: Weber, Bettina
name: Chande, Sahil
name: Maike, Simon
name: Verbunt, Maarten
name: Lee, Ting Sheng
name: Becker, Rolf
name: Franko, Josef
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: micro spot-farming
subject: process control in agriculture
subject: full farming automation
subject: state machines
subject: digital twin

description: Current robotic approaches in smart farming are often limited to a specific task such as weeding or harvesting. Contrary to this, the AgriPV-Bot aims at sustainable and efficient micro spot full vegetable farming by focusing on mixed vegetable cultivation through automated horticultural processes. Such a holistic approach requires sophisticated robotic process control. This paper presents the development of the underlying state machine built in ROS SMACH to handle a variety of tasks within the system. All processes and interactions of sensors and actuators are first simulated on the digital twin software Gazebo before being deployed in the real environment. This allows for rapid iterations of software and reduces dependencies on season and crop availability regarding physical field tests.
Additional file 21 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 21: Supplementary Fig. 11.RUNX1 is highly expressed in LSCC tissues and correlated with poor clinical features of the tumor. (A-B) RUNX1 staining and comparison of IHC scores in LSCC tumor and normal tissues. (C-D) RUNX1 staining and comparison of IHC scores in I-III stage and IV stage patients. *P < 0.05, ****P < 0.0001, Student’s t-test.
The Perception of English Vowels by Native Korean and Mandarin Speakers
Creators: name: Zhou, Alexis Nicole
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Linguistics not elsewhere classified

description: L2 learners experience difficulties discriminating L2 contrasts that are absent in their L1. Popular theoretical frameworks (e.g., SLM, PAM, L2LP) make predictions about the acquisition of L2 phonemes, however, they do not consider the extent of L1 allophonic variability as a factor in the acquisition of L2 contrasts. In order to begin addressing this, the present study compared the perceptual discrimination of two English vowel contrasts by L1 Mandarin speakers, a language with a region of high variability in the vowel space, and L1 Korean speakers, a language without this variability. It was found that the Mandarin group was less accurate than their Korean counterparts for the English vowel contrast that is in the mid region of the vowel space, where there is high variability in the L1 Mandarin vowel inventory. This finding suggests that allophonic variability in the L1 needs to be taken into account when making theory-driven predictions concerning the acquisition of specific phonological categories of the L2.
title: Digitalisierung als Beitrag zur Verbesserung des Tierwohls - die Sicht von Tierhaltenden in der Landwirtschaft
Creators: name: Miriam Kemnade, Laura Schmitz
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Digitalisierung
subject: Tierwohl
subject: Bewertung
subject: Einflussfaktoren
subject: Nutzende

description: Bei einer nachhaltigen und zielgerichteten Nutzung kann Digitalisierung auf betrieblicher Ebene einen wertvollen Beitrag für mehr Tierwohl leisten. Untersuchungen ergaben, dass zwar viele Landwirt:innen positive Auswirkungen der Digitalisierung auf das Tierwohl vermuten, selbst jedoch kaum digitale Tools einsetzen. Ziel der vorliegenden Untersuchung ist es, Einflussfaktoren auf die Digitalisierungsbewertung auf betrieblicher Ebene zu ermitteln. Im Ergebnis wirken sich vor allem die Erwerbsform und die Zukunftsorientierung der Befragten auf eine positive Bewertung der Digitalisierung zur Steigerung des Tierwohls aus. Diese Faktoren sollten neben stabilen Rahmenbedingungen für Investitionen bei der Weiterentwicklung und den Etablierungsstrategien digitaler Technologien besondere Berücksichtigung finden.
sj-docx-1-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-docx-1-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
title: A multi-talented datacube: integrating, processing and presenting big geodata for the agricultural end user
Creators: name: Friedrich, Christoph
name: Löw, Johannes
name: Otte, Insa
name: Hill, Steven
name: Förtsch, Sebastian
name: Schwalb-Willmann, Jakob
name: Gessner, Ursula
name: Schierghofer, Christoph
name: Truckenbrodt, Sina
name: Schonert, Eric
name: Piernicke, Thomas
name: Assmann, Denise
name: Conrad, Christopher
name: Thiel, Michael
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: analysis-ready data
subject: cloud processing
subject: interoperability
subject: data access
subject: user interfaces

description: While scientific methods leveraging Earth Observation for agriculture are abundant, their actual application in Germany remains scarce. A key challenge in this context is to connect the end users to the data without the many technical obstacles. Therefore, we present a versatile platform that not only integrates and processes big geodata of highly diverse origin and type, but also provides access to these resources in ways that reflect the individual user’s requirements and expertise. Based on free and open-source software building blocks, our datacube facilitates scientific computation through R and Python environments or direct API access, including emergent technologies such as openEO, STAC, and COG. At the same time, the results are delivered to easy-to-use applications that adequately present them to non-technical experts. We detail the architecture of the system and demonstrate a use case serving computed plant vitality information directly to farmers in the field.
TRACING SHISHI IN CONTEMPORARY CHINESE HISTORICAL NOVELS
Creators: name: Fan, Jiacheng
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Comparative and transnational literature

description: This dissertation aims to address the lack of transcultural and historical perspective in the study of the Chinese term shishi and its role in the contemporary literature among the current scholarship. To begin with, the study traces the origin and genealogical development of shishi as a literary concept. It concludes that although it was initially invented as a translation for the Western term “epic,” the connotation of shishi was then greatly expanded and modified by Chinese intellectuals and should be understood as a unique aesthetic paradigm for evaluating literary works and inspiring writers, especially in terms of the criticism and the creation of historical fiction. Guided by the craving for building a unified identity for the newborn nation with literary works inspired by communist ideology, the revolutionary historical novel from the “Seventeen-Year Era” (1949-1966) becomes the embodiment of the classic ideas of shishi: heroism and optimistic belief in social progress. With the revolutionary era coming to an end, the orthodox historical narrative was challenged by writers and critics who began to implement new and alternative methods of representing and reconstructing past events and memories, which leads to the renovation and diversification of shishi. With a combination of textual analysis and historical interpretation, this study shall examine the works of six writers with varied and distinctive features from the 1980s to the present and demonstrate their contribution to the continued relevance and vitality of shishi in Chinese literature. The final lesson is, instead of sustaining a static and definitive view of shishi, we should recognize and embrace its dynamic and plural natures, and its ability to adapt and innovate.
title: Assessment of ground conditions in grassland on a mower with artificial intelligence
Creators: name: Manss, Christoph
name: Martel, Viktor
name: Weisgerber, Roman
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: classification
subject: process control
subject: autonomous systems

description: Process-monitoring for autonomous mowers in agriculture is crucial to establish an online quality assessment. Here, neural networks (NNs) are employed to classify ground conditions, distinguishing between dry, mowed, unplanted, and grass. The data comprises RGB images that are captured by a camera mounted on a mower. These images are then used to train various NNs, with EfficientNet_V2_s emerging as the most accurate network and with ResNet18 to be the most efficient network in terms of training duration and accuracy. The study also reveals for this use-case that employing transfer learning enhances the overall network performance. The developed NNs is intended for deployment on mowers, enabling them to adjust their mowing blades, conserve energy, and enhance the quality of mowed grass. Beyond mowing, the NN can be applied in process control and the identification of other plant species or weeds in the agricultural field, contributing to biodiversity assessments and more sustainable farming practices.
Additional file 22 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 22.
title: Combining a crop growth model with satellite images to get better insight in wheat growth
Creators: name: Emir Memic, Jonas Frößl
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: crop model
subject: DSSAT CERES-Wheat
subject: satellite image-based LAI

description: The overall goal of better crop management that is expected to contribute to food security relies on the idea of being able to predict end-of-season yield early in the growing season and adapt crop management strategies (e.g. fertilization) to the expected seasonality trend (weather forecasts). The goal of this study was to investigate the potential of combining crop growth models with satellite image-based information for prediction of in-season plant development. Satellite image-based leaf area index (LAI) estimates were compared to crop model simulations at two locations: Heidfeldhof and Eckartsweier, both University of Hohenheim research stations. Crop model simulated LAI was compared to vegetation index (VI) based LAI for the Heidfeldhof location resulting in RMSE 0.78 and 0.312 nRMSE based on 24 measurements. For the Eckartsweier location, VI-based LAI had 1.4 RMSE and 0.573 nRMSE based on 8 measurements.
title: Non-behavioral variables on the acceptance of AI-based camera systems
Creators: name: Alexander Kühnemund, Guido Recke
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: AI
subject: surveillance
subject: camera
subject: pig
subject: observation
subject: technology acceptance

description: This study investigated the contextual factors for the acceptance of AI camera technologies. For this purpose, 185 pig farmers were interviewed in an online survey. The regression model investigated whether technology acceptance is influenced by the variables age, education, region, digitalization experience, and farm size. The statistical analysis showed that a higher perceived level of digitalization on the farm and the geographical location of the farm are predictors of technology acceptance. This shows that acceptance, and thus adoption, is determined by factors other than behavioral ones.
Argo data management report 2022, Coriolis DAC & GDAC
Creators: name: Carval, Thierry
name: Coatanoan, Christine
Publisher: name: Ifremer
Year: 2022
Subjects: argo

description: This report covers the activity of Coriolis DAC (Data Assembly Centre) for the one-year period from September 1st 2021 to October 30th 2022.
title: Praxistest zum Einsatz von UHF-RFID-Transponderohrmarken in der Ferkelaufzucht
Creators: name: Förschner, Adriana
name: Kapun, Anita
name: Gallmann, Eva
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Elektronische Tiererkennung
subject: UHF-RFID
subject: Aufzuchtferkel

description: Der Einsatz der elektronischen Tiererkennung in der landwirtschaftlichen Nutztierhaltung bietet viele Möglichkeiten im Bereich des Tiermonitorings. In diesem Beitrag werden in einem Projekt entwickelte elektronische Ohrmarken vorgestellt und getestet, die eine Pulkerfassung in Gruppen ermöglichen und dabei klein genug sind, um sie Aufzuchtferkeln einzuziehen. Hierfür wurden die Beschäftigungstürme in vier Buchten mit Antennen ausgestattet und insgesamt 96 Aufzuchtferkeln elektronische UHF-RFID-Transponderohrmarken eingezogen. Erste Auswertun-gen zeigen sehr gute Ergebnisse bezüglich der Erkennungsrate und der Lesereichweite der Ohrmarken. Weitere Auswertungen sind nötig, um die Wiederholbarkeit und Zuverlässigkeit der Funktionalität der Ohrmarken zu überprüfen.
title: Analyse des Product Carbon Footprints im Produktions- und Verarbeitungsprozess von Topinambur (Helianthus tuberosus L.)
Creators: name: Guerler, Hakan
name: Risius, Hilke
name: Albrecht, Richard
name: Rosenbaum, Julian
name: Röpert, Christin
name: Lienig, Frank
name: Kramer, Eckart
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Product Carbon Footprint (PCF)
subject: Topinamburanbau – und verarbeitung

description: Der PCF bezieht sich auf die Bilanzierung der Treibhausgas (THG) - Emissionen und des THG-Abbaus entlang des gesamten Lebenszyklus eines Produkts. Ziel dieser Studie ist es, den Product Carbon Footprint (PCF) in der Wertschöpfungskette von Topinambur zu analysieren. Eine repräsentative Menge von 100 kg Topinambur wurde als Grundlage für die PCF-Berechnung im Anbau und in der Verarbeitung gewählt. Für die gesamte Verarbeitung wurden der Strom- und Wasserverbrauch sowie die menschliche Arbeitszeit gemessen. Die Ergebnisse zeigen die signifikante Rolle des Wasserverbrauchs bei den Treibhausgasemissionen, gefolgt vom Stromverbrauch und der menschlichen Arbeitszeit. Diese Ergebnisse unterstreichen die Dringlichkeit der Identifizierung von Emissionsminderungspotenzialen in der Topinambur-Verarbeitung und unterstreichen gleichzeitig die Bedeutung einer genauen Datenerfassung und realistischer Emissionsfaktoren für zukünftige Untersuchungen.
title: Bilddatenakquisition zur Entwicklung eines Machine-Learning-Detektors für Grünlandunkräuter
Creators: name: Ingo-Leonard Haußmann, Lukas Petrich
Publisher: name: Gesellschaft für Informatik e.V.
Year: 2024
Subjects: subject: Grünland
subject: Unkrautbekämpfung
subject: Bilddaten
subject: Machine-Learning
subject: Labeln

description: Giftpflanzen wie die Herbstzeitlose (Colchicum autumnale) können sich besonders gut in extensiv bewirtschaftetem Grünland ausbreiten. Gelangen Pflanzenteile in das Erntegut, drohen bei der Aufnahme durch Nutztiere Vergiftungserscheinungen, die zum Tode führen können. Ohne Maßnahmen zur Regulierung werden betroffene Flächen zunehmend unattraktiv und es droht eine Nutzungsaufgabe, einhergehend mit einer naturschutzfachlichen Abwertung. Zur Steuerung eines innovativen Bekämpfungsgerätes gegen Grünlandunkräuter wird ein Pflanzendetektor basierend auf einem Machine-Learning-Ansatz entwickelt. Die Methode zur Bilddatensammlung dafür wird in vorliegendem Artikel beschrieben.