cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Limited Parameter Denoising for Low-dose X-ray Computed Tomography Using Deep Reinforcement Learning
Creators: name: Patwari, Mayank
name: Gutjahr, Ralf
name: Raupach, Rainer
name: Maier, Andreas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The use of deep learning has successfully solved several problems in the field of medical imaging. Deep learning has been applied to the CT denoising problem successfully. However, the use of deep learning requires large amounts of data to train deep convolutional networks (CNNs). Moreover, due to large parameter count, such deep CNNs may cause unexpected results. In this study, we introduce a novel CT denoising framework, which has interpretable behaviour, and provides useful results with limited data. We employ bilateral filtering in both the projection and volume domains to remove noise. To account for non-stationary noise, we tune the $σ$ parameters of the volume for every projection view, and for every volume pixel. The tuning is carried out by two deep CNNs. Due to impracticality of labelling, the two deep CNNs are trained via a Deep-Q reinforcement learning task. The reward for the task is generated by using a custom reward function represented by a neural network. Our experiments were carried out on abdominal scans for the Mayo Clinic TCIA dataset, and the AAPM Low Dose CT Grand Challenge. Our denoising framework has excellent denoising performance increasing the PSNR from 28.53 to 28.93, and increasing the SSIM from 0.8952 to 0.9204. We outperform several state-of-the-art deep CNNs, which have several orders of magnitude higher number of parameters (p-value (PSNR) = 0.000, p-value (SSIM) = 0.000). Our method does not introduce any blurring, which is introduced by MSE loss based methods, or any deep learning artifacts, which are introduced by WGAN based models. Our ablation studies show that parameter tuning and using our reward network results in the best possible results.
description: Accepted to Medical Physics. 30 pages, 8 figures, 3 tables, 2 algorithms
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications
Creators: name: Ashqar, Huthaifa
name: Alhadidi, Taqwa I.
name: Elhenawy, Mohammed
name: Khanfar, Nour O.
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: The integration of thermal imaging data with Multimodal Large Language Models (MLLMs) constitutes an exciting opportunity for improving the safety and functionality of autonomous driving systems and many Intelligent Transportation Systems (ITS) applications. This study investigates whether MLLMs can understand complex images from RGB and thermal cameras and detect objects directly. Our goals were to 1) assess the ability of the MLLM to learn from information from various sets, 2) detect objects and identify elements in thermal cameras, 3) determine whether two independent modality images show the same scene, and 4) learn all objects using different modalities. The findings showed that both GPT-4 and Gemini were effective in detecting and classifying objects in thermal images. Similarly, the Mean Absolute Percentage Error (MAPE) for pedestrian classification was 70.39% and 81.48%, respectively. Moreover, the MAPE for bike, car, and motorcycle detection were 78.4%, 55.81%, and 96.15%, respectively. Gemini produced MAPE of 66.53%, 59.35% and 78.18% respectively. This finding further demonstrates that MLLM can identify thermal images and can be employed in advanced imaging automation technologies for ITS applications.
Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes
Creators: name: Gong, Jingzhi
name: Chen, Tao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Learning and predicting the performance of a configurable software system helps to provide better quality assurance. One important engineering decision therein is how to encode the configuration into the model built. Despite the presence of different encoding schemes, there is still little understanding of which is better and under what circumstances, as the community often relies on some general beliefs that inform the decision in an ad-hoc manner. To bridge this gap, in this paper, we empirically compared the widely used encoding schemes for software performance learning, namely label, scaled label, and one-hot encoding. The study covers five systems, seven models, and three encoding schemes, leading to 105 cases of investigation. Our key findings reveal that: (1) conducting trial-and-error to find the best encoding scheme in a case by case manner can be rather expensive, requiring up to 400+ hours on some models and systems; (2) the one-hot encoding often leads to the most accurate results while the scaled label encoding is generally weak on accuracy over different models; (3) conversely, the scaled label encoding tends to result in the fastest training time across the models/systems while the one-hot encoding is the slowest; (4) for all models studied, label and scaled label encoding often lead to relatively less biased outcomes between accuracy and training time, but the paired model varies according to the system. We discuss the actionable suggestions derived from our findings, hoping to provide a better understanding of this topic for the community. To promote open science, the data and code of this work can be publicly accessed at https://github.com/ideas-labo/MSR2022-encoding-study.
description: 13 pages, accepted by MSR2022
Qualitative Forschung in der Arbeits-, Organisations- und Wirtschaftspsychologie
Creators: name: Schulze, Hartmut
Publisher: name: Springer
Year: 2018
Subjects: Arbeitspsychologie Organisationspsychologie Wirtschaftspsychologie Organisationsentwicklung Fallstudie

description: Die Arbeits-, Organisations- und Wirtschaftspsychologie (AOW-Psychologie) wird als Teildisziplin der Psychologie definiert und eingegrenzt. In ihrer Entstehung und Entwicklung hat die qualitative Forschung einen starken Einfluss, was an verschiedenen Forschungsfeldern und historischen Studien aufgezeigt wird. Anschließend werden aktuelle Entwicklungen der qualitativen Forschung in der AOW-Psychologie vorgestellt. Die Fallstudie wird dabei als gegenstandsadäquate Erkenntnisstrategie der Psychologie begründet und ihre methodische Arbeitsweise dargestellt. An zwei Beispielen wird das Vorgehen verdeutlicht, bevor die Gütekriterien für Fallstudien erörtert werden. Der Artikel schließt mit einer Bilanzierung und Bewertung der Entwicklung qualitativer Forschung in der AOW-Psychologie.
Resampling schemes in population annealing -- numerical results
Creators: name: Gessert, Denis
name: Weigel, Martin
name: Janke, Wolfhard
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Population annealing (PA) is a population-based algorithm that is designed for equilibrium simulations of thermodynamic systems with a rough free energy landscape. It is known to be more efficient in doing so than standard Markov chain Monte Carlo alone. The algorithm has a number of parameters that can be fine-tuned to improve performance. While there is some theoretical and numerical work regarding most of these parameters, there appears to be a gap in the literature concerning the role of resampling in PA. Here, we present a numerical comparison of a number of resampling schemes for PA simulations of the 2D Ising model.
description: 6 pages, 4 figures
Selbstsorge in einer sich wandelnden Arbeitswelt
Creators: name: Sommer, Andrea
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2019
Subjects: Selbstsorge
proaktives Verhalten
Job Crafting
Boundary Crafting
Recovery Crafting
Autonomie
Resilienz
Erschöpfung

description: Neue Steuerungsformen bringen nicht nur Chancen, sondern auch Risiken für die Beschäftigten. Ziel der vorliegenden Arbeit ist es, die Dimensionen der Selbstsorge zu eruieren. Zudem wird überprüft, wie sich der Zusammenhang zwischen Autonomie und Selbstsorge gestaltet und ob Resilienz dabei eine moderierende Rolle einnimmt. Weiter wird untersucht, welchen Einfluss Selbstsorge auf Erschöpfung aufweist. Mittels Fragebogen wurden Daten von 186 Erwerbstätigen erhoben. Die Ergebnisse zeigen eine sechsfaktorielle Struktur. Alle Skalen weisen akzeptable bis exzellente Reliabilitäten auf. Die Selbstsorge-Dimensionen Regenerieren (r= .2, p=.006), Ablenkungsreduktion und Arbeitsfokus (r= .15, p= .022) und bewusste Trennung zwischen Arbeit und Privatleben (r= .17, p= .006) weisen einen Zusammenhang zur Autonomie auf. Dabei wird der Zusammenhang zwischen Autonomie und Ablenkungsreduktion und Arbeitsfokus durch Resilienz moderiert (β= .20, p= .0314). Drei Selbstsorge-Dimensionen weisen einen Einfluss auf Erschöpfung auf. Den höchsten Einfluss auf Erschöpfung verfügt die Dimension Regenerieren (β= .21). Nachfolgend an die Ergebnisse schliesst die Arbeit mit Implikationen für Forschung und Praxis.
Entwicklung eines neuen Evaluationsinstruments zur Lernerfolgsmessung für die Grundausbildung der Interkantonalen Polizeischule Hitzkirch
Creators: name: Lüthi, Franziska
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2015

description: Das Ziel der vorliegenden Arbeit war es, ein neues Evaluationsinstrument für die Grundausbildung der Interkantonale Polizeischule Hitzkirch zu entwickeln, welches den Lernerfolg der ehemaligen Auszubildenden misst und ein für die Praxis taugliches Instrument darstellt. Um dieses Ziel zu erreichen, wurden fünf Expertenbefragungen sowie ein Workshop durchgeführt. Dieses methodische Vorgehen ermöglichte es, ein auf den Kunden zugeschnittenes Instrument zu entwickeln. Zudem wurden verschiedene Anspruchsgruppen in das Projekt mit einbezogen, damit deren unterschiedlichen Bedürfnisse berücksichtigt werden konnten. Als Grundlage für das in dieser Arbeit entwickelte Evaluationsinstrument dienen sowohl zwei bereits etablierte Instrumente zur Messung des Lernerfolgs, als auch ein Katalog an kundenspezifischen Kompetenzfragen. Damit wird sichergestellt, dass bei der Interkantonalen Polizeischule Hitzkirch ein umfassendes und zugleich praxisnahes Evaluationsinstrument Anwendung findet.
Thematisches Glossar "Religion, Worldviews, Ethics"
Creators: name: Green, Jens-Peter
Publisher: name: Zenodo
Year: 2025
Subjects: Content and Language Integrated Learning
intercultural learning
interreligious learning
interideological learning

description: Thematic German-English Glossary "Religion, Worldviews, Ethics"; this glossary is a supplement to: Jens-Peter Green, Manfred L. Pirner and Jens Büngener (eds.) with assistance of Nele Orlemann: "Religionsunterricht bilingual. Didaktische Perspektiven und Anregungen für die Praxis". Erlangen: FAU University Press 2022. ISBN: 978-3-96147-483-7, eISBN: 978-3-96147-484-4, DOI: 10.25593/978-3-96147-484-4
title: Четвертые Пчелинские чтения
Creators: name: Тункина, И. В.
name: Бондарь, Л. Д.
Publisher: name: Реноме
Year: 2023

description: Международная конференция «Четвертые Пчелинские чтения: ­Археология, этнография и языки Кавказа (К 1100-летию крещения Алании)» стала одним из научных событий Санкт-Петербурга, ­приуроченных к празднованию 1100-летия крещения Алании (указ Президента Российской Федерации № 480 от 14.10.2017 г.).
Соорганизаторами чтений 2022 г. выступили: Санкт-Петербургский филиал Архива РАН (СПбФ АРАН), Юго-Осетинский научно-­исследовательский институт им. З. Н. Ванеева (ЮОНИИ), Институт истории и археологии Республики Северная Осетия-­Алания (ИИА РСО-А), Северо-Осетинский институт гуманитарных и социальных исследований им. В. И. Абаева (СОИГСИ) Владикавказского научного центра Российской академии наук (ВНЦ РАН). Конференция прошла 19 декабря 2022 г. в стенах нового здания СПбФ АРАН.
Insight into the structural requirements of thiophene-3-carbonitriles-based MurF inhibitors by 3D-QSAR, molecular docking and molecular dynamics study
Creators: name: Azam, Mohammed Afzal
name: Srikanth Jupudi
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer

description: The discovery of clinically relevant inhibitors against MurF enzyme has proven to be a challenging task. In order to get further insight into the structural features required for the MurF inhibitory activity, we performed pharmacophore and atom-based three-dimensional quantitative structure–activity relationship studies for novel thiophene-3-carbonitriles based MurF inhibitors. The five-feature pharmacophore model was generated using 48 inhibitors having IC50 values ranging from 0.18 to 663 μm. The best-fitted model showed a higher coefficient of determination (R2 = 0.978), cross-validation coefficient (Q2 = 0.8835) and Pearson coefficient (0.9406) at four component partial least-squares factor. The model was validated with external data set and enrichment study. The effectiveness of the docking protocol was validated by docking the co-crystallized ligand into the catalytic pocket of MurF enzyme. Further, binding free energy calculated by the molecular mechanics generalized Born surface area approach showed that van der Waals and non-polar solvation energy terms are the main contributors to ligand binding in the active site of MurF enzyme. A 10-ns molecular dynamic simulation was performed to confirm the stability of the 3ZM6-ligand complex. Four new molecules are also designed as potent MurF inhibitors. These results provide insights regarding the development of novel MurF inhibitors with better binding affinity.
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition
Creators: name: Alhadidi, Taqwa
name: Jaber, Ahmed
name: Jaradat, Shadi
name: Ashqar, Huthaifa
name: Elhenawy, Mohammed
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: Object detection is a critical component of transportation systems, particularly for applications such as autonomous driving, traffic monitoring, and infrastructure maintenance. Traditional object detection methods often struggle with limited data and variability in object appearance. The Oriented Window Learning Vision Transformer (OWL-ViT) offers a novel approach by adapting window orientations to the geometry and existence of objects, making it highly suitable for detecting diverse roadway assets. This study leverages OWL-ViT within a one-shot learning framework to recognize transportation infrastructure components, such as traffic signs, poles, pavement, and cracks. This study presents a novel method for roadway asset detection using OWL-ViT. We conducted a series of experiments to evaluate the performance of the model in terms of detection consistency, semantic flexibility, visual context adaptability, resolution robustness, and impact of non-max suppression. The results demonstrate the high efficiency and reliability of the OWL-ViT across various scenarios, underscoring its potential to enhance the safety and efficiency of intelligent transportation systems.
Kooperation zwischen den Disponentinnen und Disponenten und Chauffeurinnen und Chauffeuren bei Camion Transport AG
Creators: name: Schmid, Anja
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2021
Subjects: Kooperation
Disponentinnen
Disponenten
Chauffeurinnen
Chauffeure

description: Kooperation ist in der heutigen Arbeitswelt unabdingbar. Bei Camion Transport AG (CT) arbeiten die Chauffeurinnen und Chauffeure und Disponentinnen und Disponenten eng zusammen. Ziel dieser Bachelorarbeit ist es herauszufinden, wie die Zusammenarbeit zwischen den beiden Berufsgruppen effizient optimiert werden kann. Basierend auf den Ergebnissen werden Handlungsempfehlungen erarbeitet, welche primär auf der Stufe der Chauffeurinnen und Chauffeure und Disponentinnen und Disponenten angesetzt werden. Für die empirische Ermittlung kamen die qualitativen Methoden der Beobachtung sowie das halbstandardisierte Leitfadeninterview zur Anwendung. Ausgewertet und interpretiert wurden die Ergebnisse nach der inhaltlich strukturierenden qualitativen Inhaltsanalyse nach Kuckartz (2018). Die Ergebnisse aus den Interviews zeigen, dass die Zusammenarbeit durch gezielte Optimierungen im Bereich des Vertrauens, der Kommunikation sowie der Beziehung zwischen den Beteiligten verbessert werden könnte.
Dix étapes pour une bonne évaluation
Creators: name: Beywl, Wolfgang
name: Balzer, Lars
Publisher: name: Schweizerisches Dienstleistungszentrum Berufsbildung, Berufs-, Studien- und Laufbahnberatung
Year: 2016
Subjects: subject: Bildungsevaluation
subject: Interne Evaluation
subject: Evaluationsplanung
subject: 370 - Erziehung, Schul- und Bildungswesen

description: In diesem Text – und dem zugrunde liegenden Sachbuch – wird Evaluation als eine wissenschaftliche Dienstleistung verstanden, die für festgelegte Zwecke und nach begründeten Kriterien insbesondere Programme und Projekte beschreibt und bewertet. Die Bewertung geschieht systematisch, transparent sowie nachvollziehbar und basiert auf Daten und Informationen, die mithilfe sozialwissenschaftlicher Methoden gewonnen werden. Nach unserem Verständnis müssen Personen für diese Tätigkeit besonders qualifiziert sein. Dabei gehen sie in zehn Schritten vor, die kein rigide einzuhaltendes Strickmuster vorgeben, sondern den spezifischen Rahmenbedingungen der konkreten Evaluation anzupassen sind.
A Swedish version of the Consultation and Relational Empathy (CARE) measure
Creators: name: K. Crosta Ahlforn
name: E. Bojner Horwitz
name: W. Osika
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: Hematology

description: Objective: A validated measure to gather patient feedback on physicians’ empathy is not available in Swedish. The objective for this study was to examine the psychometric characteristics of a Swedish version of the Consultation and Relational Empathy (CARE) measure (widely used in English). Design, setting and patients: The CARE measure was translated into Swedish and tested on 554 unselected patients visiting physicians in two primary care clinics in northwestern Stockholm, Sweden. Main outcome measures: Adequate translation, as well as reliability and validity of the Swedish CARE measure. Results: The Swedish CARE measure seemed to demonstrate high acceptability and face validity when consulting a physician. The mean CARE score 41.5 (SD 8.9) over all 10 item was not significantly influenced by seasonality, age or gender. Scores were somewhat negatively distributed, but corrected item-total correlations were high (0.86–0.91) suggesting homogeneity. Internal reliability was very high (Cronbach’s alpha 0.975). Factor analysis implied a one-dimensional structure with factor loadings between 0.89 and 0.93. Conclusions: The Swedish CARE measure appears to be psychometrically valid and reliable enough in physicians.
Metadata from δ15N and δ13C cycles in narwhal (Monodon monoceros) embedded teeth reveal seasonal variation in ecology and/or physiology
Creators: name: Zhao, Shu-Ting
name: Matthews, Cory
name: Watt, Cortney A.
Publisher: name: The Royal Society
Year: 2025
Subjects: classificationCode: 310399
subject: Ecology not elsewhere classified

description: Metadata provides information about dataset "Narwhal_Dentine_Stable_Isotope_Data.csv"
Novel uranyl(VI) complexes incorporating ethynyl groups as potential halide chemosensors: an experimental and computational approach
Creators: name: Bartocci, Silvia
name: Sabaté, Ferran
name: Mihan, Francesco Yafteh
name: Bosque, Ramon
name: Rodríguez, Laura
name: Cort, Antonella Dalla
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Inorganic Chemistry

description: The synthesis of two novel Uranyl-salophen complexes, 1 and 2, decorated with ethynyl substituents, and the study in chloroform of their binding properties toward three different tetrabutylammonium halide salts, i.e. fluoride, chloride, bromide, are here reported. Such derivatives proved to be efficient halide receptors. The presence of two ethynyl groups in the para position, with respect to the phenoxide oxygens, seemed to be accountable for the moderate emission shown by complex 1. Surprisingly, instead, complex 2 does not show such property. The possibility of 1 to form dimers in non-coordinating solvents provides an explanation for such difference, since emission can be induced by the aggregation. This finding provides an unprecedented example of aggregation induced emission (AIE) for metal salophen derivatives. Moreover DFT calculations provide theoretical insight to the formation of host-guest complexes. Their stabilities were calculated in vacuum and in chloroform and the results are perfectly in agreement with the experimental data.
Thematisches Glossar "Religion, Wordviews, Ethics"
Creators: name: Green, Jens-Peter
Publisher: name: Zenodo
Year: 2021
Subjects: Content and Language Integrated Learning
intercultural learning
interreligious learning
interideological learning

description: Thematic German-English Glossary "Religion, Wordviews, Ethics"; this glossary is a supplement to: Jens-Peter Green, Manfred L. Pirner and Jens Büngener (eds.) with assistance of Nele Orlemann: "Religionsunterricht bilingual. Didaktische Perspektiven und Anregungen für die Praxis". Erlangen: FAU University Press 2021. ISBN: 978-3-96147-483-7, eISBN: 978-3-96147-484-4, DOI: 10.25593/978-3-96147-484-4
Evaluation of antiplasmodial properties of a cyanobacterium, Spirulina platensis and its mechanism of action
Creators: name: Diah Anggraini Wulandari
name: Sidhartha, Elizabeth
name: Iriani Setyaningsih
name: Marbun, Jonathan Marshall
name: Syafruddin, Din
name: Puji Budi Setia Asih
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer

description: The rapid emergence of antimalarial drug resistance necessitates a continual effort on novel drug discovery. A cyanobacterium, Spirulina platensis, is a potential antimalarial agent that has been widely consumed as food supplement in the form of crude extract. It is known to possess antiviral, antibacterial and antifungi activities. This study examined the antimalarial activities of several Spirulina formulas against Plasmodium falciparum 3D7, in vitro. The tested Spirulina formulas included commercially available capsule, crude extract and alkaloid fraction. Results showed that all tested formula possessed antimalarial activities with the Spirulina capsule exhibited the highest activities (IC50 = 2.16 μg/mL). Light and electron microscopies revealed interference of the Spirulina with the parasite hemozoin formation. In conclusion, all tested Spirulina formulas and fraction exhibited moderate to high antimalarial activities.
Using consumer behavior data to reduce energy consumption in smart homes
Creators: name: Schweizer, Daniel
name: Zehnder, Michael
name: Wache, Holger
name: Zanatta, Danilo
name: Rodriguez, Miguel
name: Witschel, Hans Friedrich
Publisher: name: Fachhochschule Nordwestschweiz FHNW
Year: 2015
Subjects: smart cities
smar homes
energy saving
recommender systems
association rules
unsupervised learning
internet of things

description: This paper discusses how usage patterns and preferences of inhabitants can be learned efficiently to allow smart homes to autonomously achieve energy savings. We propose a frequent sequential pattern mining algorithm suitable for real-life smart home event data. The performance of the proposed algorithm is compared to existing algorithms regarding completeness/correctness of the results, run times as well as memory consumption and elaborates on the shortcomings of the different solutions.
Research Topic III
Creators: name: Veling, Harm
name: Holland, Rob
name: Tjepkema, Wim
Publisher: name: OSF Registries
Year: 2016

description: Introduction
In an attempt to uncover the role of attention in food choice[1,2], we will investigate the effects of cue-approach training on food choice when the cue signals the release of a button (instead of the press of a button). Instructions will further frame the cued response as an avoidance movement, which should convey a negative (instead of a positive) motivational state.

Outcome Possibilities
In accordance with the above, there are three possible outcomes for this study. These are outlined below.

Outcome Possibility 1
Cued items are valued lower and are chosen less often compared to un-cued items. This would suggest that the motivational quality of the performed response (avoidance) overrides the attentional salience for cued items.

Outcome Possibility 2
Cued items are both valued and chosen equally as compared to un-cued items. This would suggest that the motivational quality of the performed response and attentional salience for cued items balance each other out.

Outcome Possibility 3
Cued items are valued higher and are chosen more often compared to un-cued items. This would suggest that the attentional salience for cued items overrides the motivational quality of the performed response.
Additional file 10 of Lipidomics profiling of goose granulosa cell model of stearoyl-CoA desaturase function identifies a pattern of lipid droplets associated with follicle development
Creators: name: Yuan, Xin
name: Hu, Shenqiang
name: Li, Liang
name: Han, Chunchun
name: Liu, Hehe
name: He, Hua
name: Xia, Lu
name: Hu, Jiwei
name: Hu, Bo
name: Ran, Mingxia
name: Liu, Yali
name: Wang, Jiwen
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 10: Table S5. The detail of lipids from glycerolipid/glycerophospholipid metabolism were subjected to a CCA together with transcript data of all those pathways as derived from SCD knockdown in GCs.
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
Creators: name: Tami, Mohammad
name: Ashqar, Huthaifa
name: Elhenawy, Mohammed
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Computer Science - Computation and Language
Computer Science - Computers and Society

description: Question generation for education assessments is a growing field within artificial intelligence applied to education. These question-generation tools have significant importance in the educational technology domain, such as intelligent tutoring systems and dialogue-based platforms. The automatic generation of assessment questions, which entail clear-cut answers, usually relies on syntactical and semantic indications within declarative sentences, which are then transformed into questions. Recent research has explored the generation of assessment educational questions in Arabic. The reported performance has been adversely affected by inherent errors, including sentence parsing inaccuracies, name entity recognition issues, and errors stemming from rule-based question transformation. Furthermore, the complexity of lengthy Arabic sentences has contributed to these challenges. This research presents an innovative Arabic question-generation system built upon a three-stage process: keywords and key phrases extraction, question generation, and subsequent ranking. The aim is to tackle the difficulties associated with automatically generating assessment questions in the Arabic language. The proposed approach and results show a precision of 83.50%, a recall of 78.68%, and an Fl score of 80.95%, indicating the framework high efficiency. Human evaluation further confirmed the model efficiency, receiving an average rating of 84%.
Additional file 2 of Lipidomics profiling of goose granulosa cell model of stearoyl-CoA desaturase function identifies a pattern of lipid droplets associated with follicle development
Creators: name: Yuan, Xin
name: Hu, Shenqiang
name: Li, Liang
name: Han, Chunchun
name: Liu, Hehe
name: He, Hua
name: Xia, Lu
name: Hu, Jiwei
name: Hu, Bo
name: Ran, Mingxia
name: Liu, Yali
name: Wang, Jiwen
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 2: Figure S2. Venn diagram of overlapping and unique of lipids altered in each group.
Homomorphic encryption embedded engine v1
Creators: name: Asif, Waqar
Publisher: name: Zenodo
Year: 2020
Subjects: Homomorphic encryption
Privacy
Anonymisation

description: This deliverable is a report on the development progress of the Homomorphic Encryption Embedded Engine (HE). The HE tool provides both security and privacy to the SPHINX solution. The tool makes use of partial homomorphic encryption techniques to allow user to search in the encrypted domain. This eliminates the need for downloading and decrypting all stored data and thus ensures security of the data. With the help of this tool, healthcare professionals can store data in central repositories with increased security. The tool also provides the feature for searching in each other’s database, given that prior permission is already granted. Alongside this, the tool provides network traffic anonymization capability, which adds privacy to the network traffic data. A pseudo-anonymized version of the network traffic is returned to the user, with added capability of deanonymizing the data for latter use. This report elaborates on these functionalities and helps explain with the help of screenshots the different interfaces that it provides. This report is a versioned document, and this is the first version (v1).
Evidence-based practice in teacher education: The mediating role of self-efficacy beliefs and practical knowledge
Creators: name: Georgiou, Despoina
name: Mok, Sog Yee
name: Fischer, Frank
name: Vermunt, Jan
name: Seidel, Tina
Publisher: name: Frontiers
Year: 2020
Subjects: subject: teacher educators
subject: evidence-based teaching
subject: self-efficacy
subject: practical knowledge
subject: university teaching
subject: teacher education
subject: higher education
subject: 370 - Erziehung, Schul- und Bildungswesen

description: European educational reforms call for the implementation of evidence-based teaching (EBT) in universities. Based on the evidence-based research paradigm in medical education, this study investigates the relationship between teacher educators' research experience, practical knowledge, self-efficacy beliefs, and frequency of EBT implementation. We report on survey data from N = 243 teacher educators from Germany, Austria, Switzerland, and the United Kingdom. A set of mediation analyses were run to identify the mediating role of self-efficacy beliefs and practical knowledge in the interplay among teacher educators' research experience and frequency of research evidence implementation. The results indicate that self-efficacy beliefs are a strong predictor of how frequently teacher educators implement EBT. Implications about the role of self-efficacy beliefs in teacher educators' professional learning and development along with future steps that are necessary to increase the implementation of EBT practices in teacher education will be discussed.
Additional file 1 of Lipidomics profiling of goose granulosa cell model of stearoyl-CoA desaturase function identifies a pattern of lipid droplets associated with follicle development
Creators: name: Yuan, Xin
name: Hu, Shenqiang
name: Li, Liang
name: Han, Chunchun
name: Liu, Hehe
name: He, Hua
name: Xia, Lu
name: Hu, Jiwei
name: Hu, Bo
name: Ran, Mingxia
name: Liu, Yali
name: Wang, Jiwen
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 1: Figure S1. Unsupervised hierarchical clustering of all lipids in each group; each column denotes one group. Increased lipids concentrations are shown in red, whereas decreased lipids concentrations are shown in blue.
Conformational landscapes of bimesogenic compounds and their implications for the formation of modulated nematic phases
Creators: name: Archbold, Craig T.
name: Mandle, Richard J.
name: Andrews, Jessica L.
name: Cowling, Stephen J.
name: Goodby, John W.
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Computational Biology

description: The twist-bend phase (NTB) is most commonly observed in materials with a gross-bent shape: dimers; bent-cores; bent-oligomers. We had suggested previously that the bend-angle of such systems effectively dictates the relative thermal stability of the NTB phase. However, our earlier paper relied on the use of a single energy-minimum conformer and so failed to capture any information about flexibility and conformational distribution. In the present work, we revisit our hypothesis and examine a second set of dimers with varying linking groups and spacer composition. We have improved on our earlier work by studying the conformational landscape of each material, allowing average bend-angles to be determined as well as the conformer distribution. We observe that the stability of the NTB phase exhibits a strong dependence not only on the Boltzmann-weighted average bend-angle (rather than just a static conformer), but also on the distribution of conformers. To a lesser extent, the flexibility of the spacer appears important. Ultimately, this work satisfies both theoretical treatments and our initial experimental study and demonstrates the importance of molecular bend to the NTB phase.
Temperature and pressure from the AACE experiment on the Alaskan Margin
Creators: name: , Johnson
Publisher: name: Zenodo
Year: 2022
Subjects: Alaskan Margin Ocean Bottom Seismometers

description: University of Washington: Project Overview – Our program used five temperature-salinity-turbidity instruments and 20 temperature loggers as add-on sensor packages to Ocean Bottom Seismometers (OBS) in order to further our understanding of turbidity flows on the SE Alaskan margin. These sensor packages would be added to existing OBS deployment frames as part of the marine component of the EarthScope/GeoPRISM program for the Alaskan margin. The recovered sensor data would be used to examine correlations between recently-triggered turbidity currents that envelop the OBS instruments and local/distant seismic events. Possible external correlations may also include storms, near-bottom water column behavior, and spontaneous slope failures as possible triggering mechanisms for sediment slope failures. Recent studies of Cascadia, Costa Rica, Sumatra and Tohoku margins have shown that sediment gravity flows on continental margins occur far more frequently than previously assumed, and these flows can have both local and distant triggering sources. The relatively high occurrence intervals of these turbidity flows, with multiple events per year detected on several globally-distributed margins, suggests the need to make these observations on the Alaskan margin as a valuable experiment-of-opportunity. Evaluating the frequency, geographical scale, and geological environment of these gravity-driven slope failures on an active and diverse continental margin such as Alaska has major impact on our understanding of (a) the source-to-sink sediment migration component of the global carbon cycle, (2) the tsunami-genic potential of steep sediments on unstable slopes that overlie an active subduction zone, and (3) the ability to use of turbidite frequency in sediment cores as indicators of the recurrence intervals for great mega-thrust earthquakes. Data to be interpreted in this proposal include (a) temperature, (b) salinity, (c) water column turbidity, and also (d) seismic accelerations from the OBS instruments. Additional data required to evaluate correlations include (a) meteorological data, for example to determine the timing and intensity of storms, (b) satellite altimetry and temperature data to document upper-ocean eddies in the water column that may extend into the deep ocean, (c) earthquake seismic data from global networks and (d) from adjacent Transportable Array instruments, and (e) geodesy data from local GPS stations that can identify slow slip events.
description: temperature and pressure
Additional file 5 of Lipidomics profiling of goose granulosa cell model of stearoyl-CoA desaturase function identifies a pattern of lipid droplets associated with follicle development
Creators: name: Yuan, Xin
name: Hu, Shenqiang
name: Li, Liang
name: Han, Chunchun
name: Liu, Hehe
name: He, Hua
name: Xia, Lu
name: Hu, Jiwei
name: Hu, Bo
name: Ran, Mingxia
name: Liu, Yali
name: Wang, Jiwen
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 5: Figure S5. Visualization of the CCA results of lipids and DEGs involved in (a) inositol phosphate metabolism, (b) arachidonic acid metabolism, (c) sphingolipid metabolism, (d) phosphatidylinositol signaling system and (e) glycine, serine and threonine metabolism under SCD knockdown.
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
Creators: name: Sammoudi, Mohammad
name: Habaybeh, Ahmad
name: Ashqar, Huthaifa
name: Elhenawy, Mohammed
Publisher: name: Maryland Shared Open Access Repository
Year: 2024
Subjects: Computer Science - Computation and Language
Computer Science - Computers and Society

description: This paper describes the creation, optimization, and assessment of a question-answering (QA) model for a personalized learning assistant that uses BERT transformers customized for the Arabic language. The model was particularly finetuned on science textbooks in Palestinian curriculum. Our approach uses BERT's brilliant capabilities to automatically produce correct answers to questions in the field of science education. The model's ability to understand and extract pertinent information is improved by finetuning it using 11th and 12th grade biology book in Palestinian curriculum. This increases the model's efficacy in producing enlightening responses. Exact match (EM) and F1 score metrics are used to assess the model's performance; the results show an EM score of 20% and an F1 score of 51%. These findings show that the model can comprehend and react to questions in the context of Palestinian science book. The results demonstrate the potential of BERT-based QA models to support learning and understanding Arabic students questions.
FUNDAMENTALS OF GROWING ECOLOGICALLY CLEAN COTTON FIBER
Creators: name: Shakirova, Gavkharkhan
name: Yuldashova, Muattarkhan
Publisher: name: Zenodo
Year: 2024

description: It should be  noted that in recent years, due to the sharp drop in air temperature in some regions of our Republic, there has been an increase in various sucking insects and pests such as whitefly, candala, sticky bacteriosis, penicillosis, aspergillosis, black aphid (cotton aphid).
Online responses to survey examining perceptions of sponsorship and corporate social responsibility in a grassroots sports club
Creators: name: Plewa, Carolin
name: Quester, Pascale
name: Palmer, Karen
Publisher: name: The University of Adelaide
Year: 2017
Subjects: subject: 150399 Business and Management not elsewhere classified
subject: FOS: Economics and business

description: This dataset entails 319 responses (and respective questions) to an online survey, distributed to the members of an SANFL club in 2011. The survey examined perceptions related to the club and one of its focal sponsors, a large electrical appliance retailer. Specifically, the survey measured constructs such as perceived sponsor and sport property corporate social responsibility image, self-congruity, perceived fit, perceived value of corporate social responsibility, corporate positioning, attitude and attributions, in addition to general demographic and behavioural variables. The majority of constructs were measured using Likert and semantic differential scales.
Additional file 6 of Lipidomics profiling of goose granulosa cell model of stearoyl-CoA desaturase function identifies a pattern of lipid droplets associated with follicle development
Creators: name: Yuan, Xin
name: Hu, Shenqiang
name: Li, Liang
name: Han, Chunchun
name: Liu, Hehe
name: He, Hua
name: Xia, Lu
name: Hu, Jiwei
name: Hu, Bo
name: Ran, Mingxia
name: Liu, Yali
name: Wang, Jiwen
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Additional file 6: Table S1. Significant differential lipids involved in LN vs. LS comparison, LG vs. LS comparison, LC vs. LT comparison, and LC vs. LF comparison.
Validation and interpretability of data-driven models
Creators: name: Jaideep Ray, Sandia National Laboratories
name: Julia Ling, Citrine Informatics
Publisher: name: figshare
Year: 2017
Subjects: subject: 10401 Applied Statistics
subject: FOS: Mathematics
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 80108 Neural, Evolutionary and Fuzzy Computation
subject: 10399 Numerical and Computational Mathematics not elsewhere classified

description: This is a Whitepaper submitted to the 2017 DOE ASCR Applied Math Meeting. It addresses research topics in the "Convergence of data- and model-driven discovery" subject area. In particular, it proposes research activities that would enhance the interpretability of data-driven models, such as neural nets, which are increasing being used in multiscale simulations for upscaling/downscaling operations e.g., as turbulence closures etc. The research would allow us validate such empirical, data-driven models against physics theory.
Online responses to survey investigating the impact of corporate volunteering on consumer perceptions
Creators: name: Plewa, Carolin
name: Quester, Pascale
name: Johnson, Claire
Publisher: name: The University of Adelaide
Year: 2017
Subjects: subject: 150503 Marketing Management (incl. Strategy and Customer Relations)
subject: FOS: Economics and business

description: This dataset entails 357 completed responses (and respective questions) to an online survey. The data was collected by means of an external online consumer panel in 2012 and aimed to investigate the impact of corporate volunteering on consumer perceptions, using the telecommunications provider Vodafone as a scenario. Central constructs included in this dataset are CSR image, firm image, perceived familiarity with firm's corporate volunteering initiatives, attributions, affective and cognitive loyalty, as well as word of mouth. These constructs were measured using Likert and semantic differential scales.
Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART
Creators: name: Masri, Sari
name: Raddad, Yaqeen
name: Khandaqji, Fidaa
name: Ashqar, Huthaifa
name: Elhenawy, Mohammed
Publisher: name: Maryland Shared Open Access Repository
Year: 2024

description: Recently, with the rapid development in the fields of technology and the increasing amount of text t available on the internet, it has become urgent to develop effective tools for processing and understanding texts in a way that summaries the content without losing the fundamental essence of the information. Given this challenge, we have developed an advanced text summarization system targeting Arabic textbooks. Relying on modern natu-ral language processing models such as MT5, AraBART, AraT5, and mBART50, this system evaluates and extracts the most important sentences found in biology textbooks for the 11th and 12th grades in the Palestinian curriculum, which enables students and teachers to obtain accurate and useful summaries that help them easily understand the content. We utilized the Rouge metric to evaluate the performance of the trained models. Moreover, experts in education Edu textbook authoring assess the output of the trained models. This approach aims to identify the best solutions and clarify areas needing improvement. This research provides a solution for summarizing Arabic text. It enriches the field by offering results that can open new horizons for research and development in the technologies for understanding and generating the Arabic language. Additionally, it contributes to the field with Arabic texts through creating and compiling schoolbook texts and building a dataset.