cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Vacuum Impregnated Rice as Affected by Moisture Contents and Rice Varieties
Creators: name: Chanettee Makmuang
name: Aphirak Phianmongkhol
name: Wirjantoro, Tri I.
Publisher: name: Research and Technology Transfer Affairs Division
Year: 2016
Subjects: Rice varieties,Moisture content,Vacuum impregnation,Physicochemical properties

description: 32 (Supplement), 21, KKU Research Journal
Social Media for COVID-19 Era Information Collection, and Dissemination: A Case Study of Three Tertiary Hospitals in Ghana
Creators: name: Amankwah, Adwoa Sikayena
name: Opare, De-Love Anobah
name: Abudulai, Justice Issah
name: Demuyakor, John
Publisher: name: Journal of Digital Media & Interaction
Year: 2024

description: The emergence of digital media platforms like social media has considerably influenced health information collection and dissemination. Through in-depth interviews, (N=27) health professionals were purposively sampled, to evaluate the effectiveness of social media use for health information collection and dissemination during the peak of COVID-19 in Ghana. The participants sampled for the study include; (n=2) Regional Public Health Officers;(n=10) Directors of Ghana Health Services;(n=10); and (n=5) Disease Control officers. The responses from the participants were analyzed using the qualitative condensed thematic approach. The findings of the study show that social media for public health information facilitates the retrieval of official information, disease detection, timely estimation, and prediction of disease incidence and severity. Regarding the challenges and constraints facing Ghana’s use of social media for COVID-19 public health information collection, this study identified the high cost of internet data and smartphones, and low budgetary allocation as the three critical limitations. Other challenges are fake news in the form of misinformation, and disinformation on social media platforms. The study recommends an increase in budgetary allocation and required infrastructural development, to enhance the application of social media in public health information collection and dissemination for public health management.
description: Journal of Digital Media & Interaction, vol. 7 n.º 16 (2024): Digital Media, Agenda 2030 and Education
title: Stellungnahme zur Anhörung zum „Entwurf eines Gesetzes zur Erhöhung des Schutzes durch den gesetzlichen Mindestlohn und zu Änderungen im Bereich der geringfügigen Beschäftigung“. BT-Drucksache 20/1408 vom 13.04.2022
Creators: name: Bosch, Gerhard
Publisher: name: DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany
Year: 2022
Subjects: subject: 300

description: Kurz gefasst: Trotz aller positiven Auswirkungen hat der Mindestlohn den Niedriglohnsektor nur geringfügig verkleinert. Noch immer arbeiten in Deutschland fast 20% zu einem Niedriglohn. Simulationsrechnungen zeigen, dass die Beschäftigung erst bei einem Mindestlohn von 13 € zurückgeht. Es ist zu begrüßen, dass die Bundesregierung nach dem ersten Schritt der Einführung des Mindestlohns jetzt den zweiten Schritt seiner Anhebung des Mindestlohns auf 12 € bzw. rund 60% des Medianlohns geht. Angesichts der hohen Inflationsraten ist eine jährliche Anpassung des Mindestlohns notwendig, damit er der Lohnentwicklung nicht zu lange hinterher hängt. Für die Anhebung der Geringfügigkeitsgrenze gibt es außer Partialinteressen keine nachvollziehbare Begründung. Der Klebeffekt von Minijobs ist hoch und führt zu dauerhaften Benachteiligungen. Ohne die künstlichen Beschränkungen vor allem des Arbeitsvolumens von Frauen, könnte deren Beschäftigung um 3,23 Millionen Personen in Vollzeitäquivalenten höher sein, was eine Finanzierung der Renten erleichtern würde. Mit der Legalisierung der Überschreitung der Geringfügigkeitsgrenze um 1040 € in zwei Monaten pro Jahr, wird diese Grenze de facto auf 609,97 € pro Monat erhöht, was der Koalitionsvertrag nicht hergibt. Die Gefahr, dass diese Ausnahmeregel, zur Norm wird, ist groß.
description: IAQ-Standpunkte, vol. 2022, no. 01a
High milk yields without soya? Yes we can.
Creators: name: MacPherson, Lorna
Publisher: name: Zenodo
Year: 2022
Subjects: soya
milk

description: A Legume Viewpoint piece: Soya is now a thing of the past at Crichton Royal Farm. We’ve not fed soya to our 10,000-litre annual yielding SRUC dairy herd in Dumfries, South West Scotland since April 2020. This change was prompted in particular by our milk buyer, Arla. Arla is responding to the market that has become sensitive about where our feed comes from. This means greater reliance on locally grown feeds to help reduce product carbon footprint and avoid transporting imported feeds such as soya over long distances. While some Arla farmers in the UK still use soya that is certified as being from a sustainable source, we were keen to look at ways to reduce the environmental footprint of our milk. The removal of soya from the diet is an obvious step forward.
Effects of Rhizobacteria on Seed Germination of Water Spinach (Ipomoea aquatica)
Creators: name: Nguyen, Thi Huynh Nhu
name: Nuntavun Riddech
Publisher: name: Research and Technology Transfer Affairs Division
Year: 2016
Subjects: Rhizobacteria,Ipomoea aquatica,seed germination

description: 30 (Supplement), 21, KKU Research Journal
Effect of Impregnation Solution Ratio and Periods on Vacuum Impregnated Papaya
Creators: name: Nisareefah Benyakart
name: Aphirak Phianmongkhol
name: Wirjantoro, Tri I.
Publisher: name: Research and Technology Transfer Affairs Division
Year: 2016

description: 31 (Supplement), 21, KKU Research Journal
Introdução
Creators: name: Rosa, José Guilherme Santa
Publisher: name: Revista dos encontros internacionais Ergotrip Design
Year: 2024

description: Sem resumo disponível.
description: Revista dos encontros internacionais Ergotrip Design, n.º 7 (2024): Revista dos encontros internacionais de estudos luso-brasileiros em Design e Ergonomia
DETECTING ADS-B REPLAY CYBERATTACKS IN THE NATIONAL AIRSPACE SYSTEM
Creators: name: Ray, George
name: Ray, Jeffrey
Publisher: name: International Association for Computer Information Systems
Year: 2023

description: This paper investigates the cybersecurity risks in the National Airspace System (NAS) with the introduction of Automated Dependent Surveillance Broadcast (ADS-B) equipment, which has been required for regulated airspace since 2020 and will be essential part of the Next Generation (NextGen) Air Transportation System (ATS) infrastructure. It details the national security implications of the cybersecurity vulnerabilities in the ADS-B avionic system and reviews proposed mitigations. One of the possible attacks on ADS-B is the replay attack and the authors propose and test a method to detect such an attack using cosine similarity. To validate the approach, the authors developed a computer-based ADSB system using an RTL-Software Defined Radio (SDR) receiver to capture over 14 million live ADS-B transmissions from a region northwest of the Dulles International Airport. These readings were organized into a relational database for analysis. A data-driven detection algorithm was implemented with parallelism through shared memory and a live feed of ADS-B traffic interspersed with previously recorded message-sets as replay attacks. The system successfully detected various replay attack scenarios. Suggested mitigation measures for countering replay attacks are presented.
Optimization of Conditions for Direct Bio-Hydrogen Production from Water Hyacinth by Clostridium Diolis C32-KKU
Creators: name: Papasanee Muanruksa
name: Nadda Khongsay
name: Khanittha Fiala
Publisher: name: Research and Technology Transfer Affairs Division
Year: 2016
Subjects: Bio-hydrogen,Anaerobic fermentation,Clostridium diolis,Water hyacinth

description: 29 (Supplement), 21, KKU Research Journal
Barriers and facilitators to optimal supportive end-of-life palliative care in long-term care facilities : a qualitative descriptive study of community-based and specialist palliative care physicians’ experiences, perceptions and perspectives
Creators: name: Harasym, Patricia
name: Brisbin, Sarah
name: Afzaal, Misha
name: Sinnarajah, Aynharan
name: Venturato, Lorraine
name: Quail, Patrick
name: Kaasalainen, Sharon
name: Straus, Sharon E.
name: Sussman, Tamara
name: Virk, Navjot
name: Holroyd-Leduc, Jayna
Publisher: name: BMJ Open
Year: 2021

description: Objective The COVID-19 pandemic has highlighted ongoing challenges to optimal supportive end-of-life care for adults living in long-term care (LTC) facilities. A supportive end-of-life care approach emphasises family involvement, optimal symptom control, multidisciplinary team collaboration and death and bereavement support services for residents and families. Community-based and palliative care specialist physicians who visit residents in LTC facilities play an important role in supportive end-oflife care. Yet, perspectives, experiences and perceptions of these physicians remain unknown. The objective of this study was to explore barriers and facilitators to optimal supportive end-of-life palliative care in LTC through the experiences and perceptions of community-based and palliative specialist physicians who visit LTC facilities. Design Qualitative study using semi-structured interviews, basic qualitative description and directed content analysis using the COM-B (capability, opportunity, motivation - behaviour) theoretical framework. Setting Residential long-term care. Participants 23 physicians who visit LTC facilities from across Alberta, Canada, including both in urban and rural settings of whom 18 were community-based physicians and 5 were specialist palliative care physicians. Results Motivation barriers include families’ lack of frailty knowledge, unrealistic expectations and emotional reactions to grief and uncertainty. Capability barriers include lack of symptom assessment tools, as well as palliative care knowledge, training and mentorship. Physical and social design barriers include lack of dedicated spaces for death and bereavement, inadequate staff, and mental health and spiritual services of insufficient scope for the population. Conclusion Findings reveal that validating families’ concerns, having appropriate symptom assessment tools, providing mentorship in palliative care and adapting the physical and social environment to support dying and grieving with dignity facilitates supportive, end-of-life care within LTC.
Home Economics and Women's Gateway to Science
Creators: name: Andrews, Michael
name: Zhao, Yiling
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Gender gap in STEM
Higher education
Economic History
Home Economics

description: We propose that collegiate home economics programs in the early 20th century introduced a generation of women to science, especially biology and chemistry. Using college-level data from the 1910 Commissioner of Education report and a collection of historical college yearbooks spanning 1900-1940, we document that a 10 percentage points increase in the share of women in home economics led to a roughly 3 percentage points increase in the share of women majoring in science. We demonstrate that the result is driven by exposure to science in the historical home economics curricula rather than through selection bias or faculty role model effects. By linking colleges to recent educational data, we provide suggestive evidence for the persistent impact of historical curricula decisions on modern day gender gaps in STEM fields.
ENOKI QOZIQORININING FOYDALI HUSUSIYATLARI VA UNI ETISHTIRISH
Creators: name: Marufxonov, Azamxon
Publisher: name: Zenodo
Year: 2024

description: Flammulina filiformis (yoki Enokitake, O‘zbekistonda "enoki" deb ataladi) – o'sishi oson va ko‘plab foydali xususiyatlarga ega bo‘lgan qo'ziqorin turi. Ushbu qo‘ziqorinlar tarkibida ko‘p miqdorda vitaminlar, minerallar va sog‘lomlik uchun muhim bo‘lgan boshqa moddalar mavjud.
Bibliographie der Geschichte, Landes- und Volkskunde von Stadt und Kanton Zürich: 1. Juli 1933 bis 30. Juni 1934
Creators: name: Sieber, Paul
Publisher: name: Buchdruckerei a/d. Sihl A.-G.
Year: 1934
Subjects: subject: 010 Bibliografie
subject: Kanton Zürich
subject: Zürich
subject: Bibliografie
subject: Geschichte
subject: Landeskunde
subject: Volkskunde

description: Separatdruck aus dem "Zürcher Taschenbuch" für das Jahr 1935.
Designing legume cropping systems for pollinators and production
Creators: name: Cole, Lorna
Publisher: name: Zenodo
Year: 2022
Subjects: legumes

description: A Legum Viewpoint article addressing the design of legume cropping systems focussing on: Agriculture and pollinators, value of legumes to sustainable farming systems, legume trial to determine optimum legume cropping systems and legumes as only part of the solution.
Supplementary document for Substrate Photonic Effects in the Non-equilibrium Optical Response of Two-Dimensional Semiconductors - 6186301.pdf
Creators: name: Smejkal, Valerie
name: Trovatello, Chiara
name: Li, Qiuyang
name: Dal Conte, Stefano
name: Marini, Andrea
name: Zhu, Xiaoyang
name: Cerullo, Giulio
name: Libisch, Florian
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement
Elevated luteinizing hormone levels during the artificial endometrial preparation cycle do not impact pregnancy outcomes in patients undergoing single vitrified-warmed blastocyst transfer
Creators: name: Jeon, Haengjun
name: Lee, Woo Sik
name: Kim, Ji Won
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: The effect of an increase in luteinizing hormone levels on pregnancy outcomes in patients undergoing artificial endometrial preparation for frozen embryo transfer has not been definitively elucidated. We aimed to investigate the effect of elevated luteinizing hormone levels, measured prior to progesterone administration, on the ongoing pregnancy rate in patients undergoing artificial endometrial preparation for single vitrified-warmed blastocyst transfer. Patients began taking oral oestradiol valerate on menstrual day 2–3. When the endometrial thickness reached ≥7 mm, they were tested for oestradiol, progesterone, and luteinizing hormone, and luteal phase support was started. The participants were divided into four groups based on luteinizing hormone percentiles, and differences in pregnancy outcomes were examined. No significant differences were observed for on-going pregnancy rate and the other pregnancy outcomes between the groups. In multivariate logistic regression analysis, not the luteinizing hormone levels but the quality of embryo had a significant influence on ongoing pregnancy (p = 0.004; adjusted odds ratio, 1.8; 95% confidence interval, 1.213–2.675). The elevation of luteinizing hormone levels during artificial endometrial preparation did not have an impact on the ongoing pregnancy or the other pregnancy outcomes.
An Efficient Deep Learning-Based Approach to Automating Invoice Document Validation
Creators: name: Amari, Aziz
name: Makni, Mariem
name: Fnaich, Wissal
name: Lahmar, Akram
name: Koubaa, Fedi
name: Charrad, Oumayma
name: Zormati, Mohamed Ali
name: Douss, Rabaa Youssef
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In large organizations, the number of financial transactions can grow rapidly, driving the need for fast and accurate multi-criteria invoice validation. Manual processing remains error-prone and time-consuming, while current automated solutions are limited by their inability to support a variety of constraints, such as documents that are partially handwritten or photographed with a mobile phone. In this paper, we propose to automate the validation of machine written invoices using document layout analysis and object detection techniques based on recent deep learning (DL) models. We introduce a novel dataset consisting of manually annotated real-world invoices and a multi-criteria validation process. We fine-tune and benchmark the most relevant DL models on our dataset. Experimental results show the effectiveness of the proposed pipeline and selected DL models in terms of achieving fast and accurate validation of invoices.
eDNAqua-Plan Deliverable 7: Report on eDNA data repositories
Creators: name: Woollard, Peter
name: Kavakiotis, Ioannis
name: Krawczyk, Dawid
name: Moutinho, Jorge
name: Seweryński, Michał
name: Boulanger, Emilie
name: Babo, Camila
name: Martins, Filipa
name: Paupério, Joana
name: Costa, Filipe
name: Derycke, Sofie
name: Egge, Elianne
name: Grabowski, Michal
name: Papakostas, Spiros
Publisher: name: Zenodo
Year: 2025

description: This report contains an inventory of the ongoing and completed environmental DNA (eDNA)initiatives and repositories, identifying their geographical, ecological and taxonomiccoverages. It includes a brief description of the methodologies used to perform theinventorying.The inventory was sought in three different ways:

Manual review of 29 resources (eDNA and reference libraries) by the bioinformaticsteam for 40 properties.

A questionnaire sent out to eDNA research teams, for which(60) responses wereneatly collated.

Automated(LLM) mining of scientific papers

This inventory allowed us to obtain a good overview of the current initiatives and databasesbeing used for eDNA data sharing and publication and to identify the main gaps and areasfor improvement.
ERINGI QOZIQORININING FOYDALI HUSUSIYATLARI VA UNI ETISHTIRISH
Creators: name: Marufxonov, Azamxon
Publisher: name: Zenodo
Year: 2024

description: Pleurotus eryngii qo‘ziqorini (shuningdek, "Qirol ustritsa qo'ziqorini" yoki "Eryngii qo'ziqorini" deb ham ataladi) – dunyoning ko‘plab mamlakatlarida iste’mol qilinadigan va katta foydali hususiyatlarga ega bo‘lgan qo‘ziqorin turi.
On the Chermak-Delgado lattice of a finite group
Creators: name: McCulloch, Ryan
name: Tărnăuceanu, Marius
Publisher: name: arXiv
Year: 2025
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics

description: By imposing conditions upon the index of a self-centralizing subgroup of a group, and upon the index of the center of the group, we are able to classify the Chermak-Delgado lattice of the group. This is our main result. We use this result to classify the Chermak-Delgado lattices of dicyclic groups and of metabelian $p$-groups of maximal class.
Autonomy of Indigenous peoples in the Federation of Malaysia: a tale of three institutional settings
Creators: name: Inguanzo, Isabel
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Previous research has offered mixed results regarding whether federalism and other mechanisms of multilevel governance (MLG) present advantages or disadvantages for civil society and, in particular, impoverish ethnic minorities. Since self-determination is a key element of the political autonomy of Indigenous peoples (IPs), this paper explores under which circumstances different mechanisms of MLG foster the rights of IPs in the Federation of Malaysia from the perspective of Indigenous activists. This work relies on face-to-face, semi-structured interviews with Indigenous activists, advocates and stakeholders from different states of the federation, with different levels of self-government and quality of democracy. The main findings suggest that any attempt to evaluate the performance of MLG arrangements in the fulfilment of the rights of IPs should consider the relationship between Indigenous organizations and state and local governments – a relationship that depends on the distribution of Indigenous populations – and the degree of political accountability in specific territories.
All good in the neighbourhood? Exploring the role of local conditions for political trust and corruption perceptions within a minority context
Creators: name: Malmberg, Fredrik
name: Karv, Thomas
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Members of a minority population are expected to evaluate political authorities through a different spectrum than majority members. Still, only a few studies have explored the role of local conditions as determinants for political attitudes among a linguistic minority population. This study focuses on the role of linguistic homogeneity, local economic conditions and community size as determinants for corruption perceptions and political trust at the individual level among members of a linguistic minority population: the Swedish-speaking Finns. Moreover, this study differs empirically between evaluations of the local and national authorities. Combining data from a panel survey collected by Barometern (2019–21) with varying contextual-level factors in a multilevel model, we show that evaluations of local authorities are related to local contextual factors, in particular municipal unemployment rates and median incomes, while national evaluations are largely unrelated to local conditions. In contrast to theoretical expectations for an in-group bias among minority members, however, we find no effect for linguistic homogeneity on corruption perceptions and political trust after controlling for economic conditions. The results make an important contribution to our understanding about the role of local conditions for political attitudes among a well-assimilated minority population.
Numerical methods for unraveling inter-particle potentials in colloidal suspensions: A comparative study for two-dimensional suspensions
Creators: name: Rees-Zimmerman, Clare R.
name: Martín-Roca, José
name: Evans, David
name: Miller, Mark A.
name: Aarts, Dirk G. A. L.
name: Valeriani, Chantal
Publisher: name: arXiv
Year: 2025
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We compare three model-free numerical methods for inverting structural data to obtain interaction potentials, namely iterative Boltzmann inversion (IBI), test-particle insertion (TPI), and a machine-learning (ML) approach called ActiveNet. Three archetypal models of two-dimensional colloidal systems are used as test cases: Weeks--Chandler--Anderson short-ranged repulsion, the Lennard-Jones potential, and a repulsive shoulder interaction with two length scales. Additionally, data on an experimental suspension of colloidal spheres are acquired by optical microscopy and used to test the inversion methods. The methods have different merits. IBI is the only choice when the radial distribution function is known but particle coordinates are unavailable. TPI requires snapshots with particle positions and can extract both pair- and higher-body potentials without the need for simulation. The ML approach can only be used when particles can be tracked in time and it returns the force rather than the potential. However, it can unravel pair interactions from any one-body forces (such as drag or propulsion) and does not rely on equilibrium distributions for its derivation. Our results may serve as a guide when a numerical method is needed for application to experimental data, and as a reference for further development of the methodology itself.
description: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in J. Chem. Phys. 162, 074103 (2025) and may be found at doi.org/10.1063/5.0246890
Deriving Collaboration Cases in Production Networks Considering Smart Services
Creators: name: Stamer, Florian
name: Bizenberger, Paul
name: Häfner, Benjamin
name: Lanza, Gisela
Publisher: name: Elsevier
Year: 2020
Subjects: Production Network
Collaboration
Digitalization
Smart Services

description: The ongoing individualization of products forces companies to focus more on flexibility and adaptability. To achieve this, cooperating companies need to intensify their cooperation into collaboration. New types of collaboration are enabled by a wave of digitalization reducing organizational efforts and risks of collaboration. Especially smart services can be a medium to incentivize more interaction. This paper contributes a method to connect the loose ends from the study of collaboration on a strategic level to the digitalization trend on an operational level, representing all key aspects of a collaboration like relevant stakeholders, case of application and system interrelation.
Cracking Open the Frame : Recognition in Remarque’s "All Quiet on the Western Front", Garcia’s "Grounded" and Saif’s "The Drone Eats With Me"
Creators: name: Landa, Maria
Publisher: name: The University of British Columbia
Year: 2020

description: "This thesis will examine three works of war literature in order to understand the framing of war, the potential for resistance of this very frame, and the refusal to accept and perpetuate its destructive effects. It will discuss the subsequent shift towards another solicitation that recovers the senses and, thence, allows for recognition and the facilitation of empathy." --page 5
Statistical Supplement to Household Food Security in the United States in 2018
Creators: name: Coleman-Jensen, Alisha
name: Rabbitt, Matthew P.
name: Gregory, Christian A.
name: Singh, Anita
name: Coleman-Jensen, Alisha
name: Rabbitt, Matthew P.
name: Gregory, Christian A.
name: Singh, Anita
Publisher: name: Unknown
Year: 2019
Subjects: subject: Agricultural and Food Policy
subject: Consumer/Household Economics
subject: Food Security and Poverty
subject: Institutional and Behavioral Economics
subject: Research Methods/ Statistical Methods
subject: Food security
subject: food insecurity
subject: food spending
subject: food pantry
subject: soup kitchen
subject: emergency kitchen
subject: material well-being
subject: SNAP
subject: Food Stamp Program
subject: National School Lunch Program
subject: WIC

description: This Supplement provides statistics that complement those in Household Food Security in the United States in 2018 (ERR-270). That research report provides the primary national statistics on household food security, food spending, and use of Federal food and nutrition assistance programs by food-insecure households. This Supplement provides additional statistics on component items of the household food security measure, the frequency of occurrence of food-insecure conditions, and selected statistics on household food security, food spending, and use of Federal and community food and nutrition assistance programs.
description: Economic Research Report (ERR) Number 270: https://ageconsearch.umn.edu/record/301167
A physics-based deep learning approach for focal-plane wavefront sensing
Creators: name: Quesnel, Maxime
name: Orban de Xivry, Gilles
name: Louppe, Gilles
name: Absil, Olivier
Publisher: name: Zenodo
Year: 2022

description: High-contrast imaging instruments are today primarily limited by non-common path aberrations appearing between the scientific and wavefront sensing arms. These aberrations can produce quasi-static speckles in the science images that are difficult to distinguish from exoplanet signatures. With the help of recent advances in deep learning, we have developed in previous works a method that implements convolutional neural networks (CNN) to estimate pupil-plane phase aberrations from point spread functions (PSF). Here we take it a step further by incorporating into the deep learning architecture the optical propagation occurring inside the instrument. The motivation behind this is to give a physical meaning to the models and to improve their robustness to various conditions. We explore how a variational autoencoder architecture that contains a differentiable optical simulator as the decoder can be used for that task. Because this unsupervised learning approach reconstructs the PSFs, it is not required to know the true wavefront aberrations in order to train the models, which is particularly promising for on-sky applications. We investigate different configurations of such a physics-based deep learning method and compare their performance to a standard CNN approach.
title: Information Flow in Capital Markets - Novel empirical evidence on information processing in financial markets and the role of behavioral biases
Creators: name: Schreiber, Nicolas Stefan
Publisher: name: UNSPECIFIED
Year: 2022

description: Since the start of the 21st century, the world has seen a significant proliferation of openly available information. While drastic increases in the availability of information have been observed in all areas of everyday life, they are particularly pronounced in financial markets. In parallel, technological evolution and novel methods of data analysis have significantly altered how information is analyzed and incorporated by investors. Despite its merits for market efficiency and price discovery, this development entails a significant risk of increased information asymmetries due to a higher disparity between sophisticated investors who are able to make use of such technology and those investors who are not. Research has further shown that investors, when provided with too much information at once, are not able to fully comprehend and incorporate all information leading to irrational investment behavior. It is hence of particular importance to fully understand how information is provided, processed, and incorporated in financial markets. While there already exists a growing literature on biased decision-making and information processing in financial markets, research gaps remain. Questions that are, so far, still unanswered in most contexts are, for example: Does the increasing access to information enable sophisticated institutional investors to correctly assess and seize behavioral biases of executives? Are retail investors able to correctly interpret (and potentially devalue) information signals provided by irrational executives? How do investors behave in times of crises and concomitant information overload? Do investors also incorporate the informational quality of public disclosures (and not only its information content) when assessing a firm’s prospects and risks? Do executives anticipate these market reactions and potentially strategically manipulate information signals to provoke market reactions for the firm’s or their own benefit? By conducting four disjunct empirical research studies of which each constitutes one chapter of this dissertation, I hope to close some of these research gaps. More precisely, in the first two chapters, I shed light on whether and how investors react to information signals provided by overconfident executives (Chapter 2) and how information of such executives is perceived in times of crises (Chapter 3). These studies are then further complemented by an analysis of how investors in particularly emotionally charged stocks react to different events in times of particularly high information overflow (e.g., during a crisis) in Chapter 4. Finally, an analysis of whether investors also incorporate measures of informational quality and not only the information itself in their investment decisions and whether executives anticipate and strategically manage investor reactions to certain disclosures concludes in Chapter 5.
Multimodal collaborations: materials, strategies, and visual narratives
Creators: name: Leon-Quijano, Camilo
Publisher: name: Zenodo
Year: 2022
Subjects: visual
mutlimodal
collaboration

description: The intervention focuses on visual research in anthropology based on a double case study. First, it explores a narrative experimentation of a visual project that took place in a Parisian suburb. It focuses on the story building of a critical narrative of female rugby team. Based on the collaboration we had in creating a storyboard, this presentation explores the way participants contribute to create a critical multimedia narrative through participatory methods. Second, a dialogue on the multimodal spatialization of an ongoing visual ethnography regarding the impact of tourism in Lisbon. It is conceived as a collective discussion on how multimodal collaborations might reframe the visual presentation of an ethnographic research. Based on the Pilot 1 experience of the COESO project, the discussion raises questions about the challenges of creating a story within an interactive presentation of ethnographic research on the web.
description: -
The Soils of Riley Park : An Argument for Science-Based Park Design
Creators: name: Williams, Evan
name: McCallum, Marie
name: Simcoe- Metcalfe, Eli
name: Fung, Allison
Publisher: name: The University of British Columbia
Year: 2020

description: Greenspaces are an essential part of city life, providing a retreat from daily life stressors, increasing selfesteem and promoting higher life satisfaction. It is important that urban parks are available to the public and usable throughout the year and all seasons. When designing a park, it is important to consider community objectives, and the underlying science of the park, such as soil type and distribution. Soils are key in understanding drainage capacity and promoting biodiversity by planting vegetation in the proper type of soil that best promotes growth. Using Riley Park as a case study, this report highlights the benefits of high-resolution surface soil distribution mapping for urban park design. In addition, it builds upon the Vancouver Soil Map and describes the geological history of Riley Park
Synthetic Data for Robust AI Model Development in Regulated Enterprises
Creators: name: Godbole, Aditi
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In today's business landscape, organizations need to find the right balance between using their customers' data ethically to power AI solutions and being compliant regarding data privacy and data usage regulations. In this paper, we discuss synthetic data as a possible solution to this dilemma. Synthetic data is simulated data that mimics the real data. We explore how organizations in heavily regulated industries, such as financial institutions or healthcare organizations, can leverage synthetic data to build robust AI solutions while staying compliant. We demonstrate that synthetic data offers two significant advantages by allowing AI models to learn from more diverse data and by helping organizations stay compliant against data privacy laws with the use of synthetic data instead of customer information. We discuss case studies to show how synthetic data can be effectively used in the finance and healthcare sector while discussing the challenges of using synthetic data and some ethical questions it raises. Our research finds that synthetic data could be a game-changer for AI in regulated industries. The potential can be realized when industry, academia, and regulators collaborate to build solutions. We aim to initiate discussions on the use of synthetic data to build ethical, responsible, and effective AI systems in regulated enterprise industries.
title: Analysis of Possible Applications of Speed-overriding Emergency Trajectory Planning
Creators: name: Chen, Xudong
Publisher: name: UNSPECIFIED
Year: 2022

description: The development of automated driving has brought a series of technical challenges, one of which being the safety of the automated vehicle. In automated driving Level 4 or above, an emergency fallback must be available for the automated driving system to bring the ego-vehicle to a stable and stopped state. Moreover, it remains to be investigated whether the application of this fallback causes additional risks for the ego-vehicle. This work introduces the speed-overriding emergency trajectory (SOET) as the fallback approach, and researches into the situations where this approach can be safely implemented. The concept and profile of the SOET is proposed first. Regarding the planning and implementation of SOET, two different strategies are explained and compared. Next, technologies on the state-of-the-art emergency trajectories are reviewed as a foundation of this research. Afterwards, general requirements which enable the basic functioning of the SOET are analyzed. The main focus of this work is the identification of situations which might be unsafe for the SOET to be applied. To carry out the identification, the definition of the term “situation” is clarified based on existing studies, as well as other related terms. The operational design domain (ODD) is specified to regulate the operating conditions for the SOET. On this basis, possible situations where the application of SOET might cause additional collision risks are derived. Another prerequisite for the identification is the methodology. First, a criticality metric is introduced, which serves as the judgement standard on whether the investigated situation is safe or not for the application of the SOET. The procedure of identifying the safety of the current situation is then sketched and explained in detail. Based on all the aforementioned efforts, the derived situations are analyzed in detail when it is unsafe for the SOET to be applied. In the end, the approach of SOET and the identification method is critically assessed, and the potential of applying the SOET is evaluated both within and outside the specified ODD.
title: Exploring the Past Biosphere of Chew Bahir/Southern Ethiopia: Cross-Species Hybridization Capture of Ancient Sedimentary DNA from a Deep Drill Core
Creators: name: Krüger, Johanna
name: Foerster, Verena Elisabeth
name: Trauth, Martin H.
name: Hofreiter, Michael
name: Tiedemann, Ralph
Publisher: name: Universitätsverlag Potsdam
Year: 2022
Subjects: subject: 550 Geowissenschaften

description: Eastern Africa has been a prime target for scientific drilling because it is rich in key paleoanthropological sites as well as in paleolakes, containing valuable paleoclimatic information on evolutionary time scales. The Hominin Sites and Paleolakes Drilling Project (HSPDP) explores these paleolakes with the aim of reconstructing environmental conditions around critical episodes of hominin evolution. Identification of biological taxa based on their sedimentary ancient DNA (sedaDNA) traces can contribute to understand past ecological and climatological conditions of the living environment of our ancestors. However, sedaDNA recovery from tropical environments is challenging because high temperatures, UV irradiation, and desiccation result in highly degraded DNA. Consequently, most of the DNA fragments in tropical sediments are too short for PCR amplification. We analyzed sedaDNA in the upper 70 m of the composite sediment core of the HSPDP drill site at Chew Bahir for eukaryotic remnants. We first tested shotgun high throughput sequencing which leads to metagenomes dominated by bacterial DNA of the deep biosphere, while only a small fraction was derived from eukaryotic, and thus probably ancient, DNA. Subsequently, we performed cross-species hybridization capture of sedaDNA to enrich ancient DNA (aDNA) from eukaryotic remnants for paleoenvironmental analysis, using established barcoding genes (cox1 and rbcL for animals and plants, respectively) from 199 species that may have had relatives in the past biosphere at Chew Bahir. Metagenomes yielded after hybridization capture are richer in reads with similarity to cox1 and rbcL in comparison to metagenomes without prior hybridization capture. Taxonomic assignments of the reads from these hybridization capture metagenomes also yielded larger fractions of the eukaryotic domain. For reads assigned to cox1, inferred wet periods were associated with high inferred relative abundances of putative limnic organisms (gastropods, green algae), while inferred dry periods showed increased relative abundances for insects. These findings indicate that cross-species hybridization capture can be an effective approach to enhance the information content of sedaDNA in order to explore biosphere changes associated with past environmental conditions, enabling such analyses even under tropical conditions.
description: Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe; 1244
CONTEXTUAL VARIATION OF TERMS AND ITS INTERPRETATION
Creators: name: O'lmasov, Sherbek
Publisher: name: Zenodo
Year: 2025

description: This article examines how specialized terms shift in meaning when used in different situational, thematic, and cultural contexts and proposes methodologies for interpreting these variations in terminological work. Building on classical terminology theories (Felber, 1984; Cabré, 1999) and the ISO 704:2009 standard, it incorporates the sociocognitive framework (Temmerman, 2000) and recent corpus-based contextonym analysis (San Martín, 2025). It introduces the notion of semantic potential and its reduction into “premeaning,” surveys methods for extracting and analyzing contextual variants, and offers a typology – modulation, perspectivization, and subconceptualization – to categorize term shifts. Practical guidelines for crafting context-sensitive definitions conclude the study.
title: Recent advances in the application of parahydrogen in catalysis and biochemistry
Creators: name: Buntkowsky, Gerd
name: Theiss, Franziska
name: Lins, Jonas
name: Miloslavina, Yuliya A.
name: Wienands, Laura
name: Kiryutin, Alexey
name: Yurkovskaya, Alexandra
Publisher: name: RSC Publishing
Year: 2022

description: Nuclear Magnetic Resonance (NMR) spectroscopy and Magnetic Resonance Imaging (MRI) are analytical and diagnostic tools that are essential for a very broad field of applications, ranging from chemical analytics, to non-destructive testing of materials and the investigation of molecular dynamics, to in vivo medical diagnostics and drug research. One of the major challenges in their application to many problems is the inherent low sensitivity of magnetic resonance, which results from the small energy-differences of the nuclear spin-states. At thermal equilibrium at room temperature the normalized population difference of the spin-states, called the Boltzmann polarization, is only on the order of 10⁻⁵. Parahydrogen induced polarization (PHIP) is an efficient and cost-effective hyperpolarization method, which has widespread applications in Chemistry, Physics, Biochemistry, Biophysics, and Medical Imaging. PHIP creates its signal-enhancements by means of a reversible (SABRE) or irreversible (classic PHIP) chemical reaction between the parahydrogen, a catalyst, and a substrate. Here, we first give a short overview about parahydrogen-based hyperpolarization techniques and then review the current literature on method developments and applications of various flavors of the PHIP experiment.
Supplementary document for Optical mode conversion via spatiotemporally modulated atomic susceptibility - 6186351.pdf
Creators: name: Baum, Claire
name: Jaffe, Matt
name: Palm, Lukas
name: Kumar, Aishwarya
name: Simon, Jonathan
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement 1
Developing Automation and Mechanization for Specialty Crops: A Review of U.S. Department of Agriculture Programs: A Report to Congress
Creators: name: Astill, Gregory
name: Perez, Agnes
name: Thornsbury, Suzanne
name: Astill, Gregory
name: Perez, Agnes
name: Thornsbury, Suzanne
Publisher: name: Unknown
Year: 2020
Subjects: subject: Agricultural and Food Policy
subject: Community/Rural/Urban Development
subject: Crop Production/Industries
subject: Research and Development/Tech Change/Emerging Technologies
subject: specialty crops
subject: mechanization
subject: automation
subject: technology
subject: machinery
subject: machine learning
subject: data analysis
subject: mechanical harvesting
subject: processing
subject: precision agriculture
subject: remote sensing
subject: drones
subject: sensors

description: At $64.7 billion, specialty crops comprised one-third of U.S. crop receipts and one-sixth of receipts for all agricultural products in 2017. Relative to other crops, many specialty crops are more dependent on agricultural labor for production, harvesting, and processing. Title VII, Section 7610 of the Agriculture Improvement Act of 2018 includes a request to identify programs of the U.S. Department of Agriculture (USDA) that accelerate the development and use of automation or mechanization in the production or processing of specialty crops. USDA has six such programs in the Agricultural Marketing Service (AMS), the Agricultural Research Service (ARS), and the National Institute of Food and Agriculture (NIFA) that funded $287.7 million (nominal) towards 213 projects from 2008 to 2018. USDA has three programs in Rural Development (RD) that funded $3.4 billion toward 280 projects from 2010 to 2018 to support the digital infrastructure needed for adoption of automation or mechanization. Each program is designed differently to achieve unique objectives: funding for specialty crop automation or mechanization projects is only a subcomponent of each program identified. The diverse purposes, origins, oversight, and funding mechanisms of these programs have implications for how research areas are prioritized and funded.