cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Using A Machine Learning Approach to Identify Predictive Factors for Early Detection of Procrastination – An Experimental Design
Creators: name: VINEEL KANDALA
name: ALEEM SIDDIQUI
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Procrastination is a prevalent issue affecting individuals in various domains, including education and personal life. Recognizing the significance of early detection to prevent its negative consequences, this research project aims to identify indicators for early signs of procrastination by conducting a literature review. Previous research identified predictor variables such as self-efficacy, conscientiousness, growth mindset, academic entitlement, and demographic factors. The most important results from the reviewed literature suggest that these predictor variables play significant roles in predicting procrastination tendencies, and integrating these factors into machine learning algorithms can enhance the accuracy of early procrastination detection. Specifically, the incorporation of self-efficacy, personality data, and motivational factors such as academic entitlement and growth mindset were variables that predicted procrastination in machine learning algorithms more accurately than demographic factors. These predictors also had higher levels of correlation with procrastination compared with demographic ones. An experimental design is proposed to study various machine learning models to analyze existing datasets and to assess the predictive performance of each predictor variable. By using ablation experiments, the design will study their individual impact on early procrastination detection and develop effective intervention strategies with the goal of fostering improved academic outcomes and overall well-being
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Additional file 8 of Improvements needed to support people living and working with a rare disease in Northern Ireland: current rare disease support perceived as inadequate
Creators: name: McMullan, Julie
name: Ashleen L. Crowe
name: Bailie, Caitlin
name: Moore, Kerry
name: McMullan, Lauren S.
name: Shamandi, Nahid
name: McAneney, Helen
name: McKnight, Amy Jayne
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology

description: Additional file 8. Summary table of topics raised in the discussion.
Comparing Transformers & Attention Mechanisms, Generative Adversarial Networks, and Reinforcement Learning to Human Learning Processes – A Literature Review
Creators: name: VINDHYA MARRI
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Recent advancements in Artificial Intelligence (AI) have introduced powerful machine learning techniques, such as Transformers & Attention Mechanisms, Generative Adversarial Networks (GANs), and Reinforcement Learning (RL). Comparing these methods with human learning processes provides insights into their strengths and limitations. Transformers & Attention Mechanisms demonstrate human-like selective attention, effectively comprehending the broader context while focusing on essential details, reflecting cognitive processes in humans. However, the inherent differences between AI and human attention mechanisms highlight distinct approaches: algorithmic processing in AI versus human cognition. GANs are capable of generating synthetic data, showcasing creativity in producing realistic artifacts, but their algorithmic nature limits their depth compared to human artistic creativity. To address this limitation, researchers have explored introducing "arousal potential" to encourage deviations from established styles in art generation, enhancing the artistic appeal of GANs' output. RL, mimicking human learning in sequential decision-making tasks, often outperforms human strategies, indicating its effectiveness in learning complex strategies and exploring solutions more effectively than humans. Although AI still lacks the intrinsic depth, intuition, and creativity found in human cognition. Understanding these similarities and distinctions can guide the future development of more sophisticated and human-like AI systems, facilitating progress in AI research and applications. and applications.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Additional file 1 of Construction and description of a constitutive plipastatin mono-producing Bacillus subtilis
Creators: name: Maliheh Vahidinasab
name: Lilge, Lars
name: Reinfurt, Aline
name: Pfannstiel, Jens
name: Henkel, Marius
name: Heravi, Kambiz Morabbi
name: Hausmann, Rudolf
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1. Overview about production of surfactin and corresponding optical densities (OD600) of B. subtilis BMV9 (3NA sfp +) after 48 h cultivation in mineral salt medium supplemented with 30 mM of different amino acids.
A literature review of sockpuppet account detection for Facebook
Creators: name: SRIKAR KODE
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Sockpuppet accounts are widely used by people with malicious intents to commit vandalism, fraud, or spread fake information on digital networks. They can get around security precautions and violate the platform's terms of service by employing various strategies. Facebook, a social networking platform, is full of sockpuppet accounts. The main motivations behind creating sock puppet accounts on Facebook are to manipulate public opinion, deceive people, or carry out malicious actions. Facebook currently lacks a detection system for these sockpuppet accounts, as its current detection system is powered by a manual, human driven process. Due to this inefficient detection system, users are able to continue with their malicious actions through the creation of alternate accounts. The current research mainly uses two algorithms - the Random Forest (RF) and Bayesian Network (BN) algorithms - for the purpose of sockpuppet detection. The RF model is generally superior in terms of the F1 scores (RF - 99.8%, BN - 99.6%) and high accuracy being more effective when dealing with sockpuppets on Facebook. However, the BN model is strong when dealing with uncertain or probabilistic data.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
title: Prediction Rating and Performance Improvement for Segmentation Networks by Time-Dynamic Uncertainty Estimates
Creators: name: Maag, Kira
Publisher: name: Bergische Universität Wuppertal
Year: 2021

description: Image segmentation with neural networks is an essential task in environment perception. However, neural networks as statistical models produce probabilistic predictions, which are therefore prone to error with a certain probability. Thus, the reliability of neural networks in terms of prediction quality estimation and uncertainty quantification is of highest interest to prevent safety issues, in particular in safety critical applications like medical diagnosis and automated driving. In this thesis, we propose methods for prediction quality rating and performance improvement in terms of accuracy by using time-dynamic uncertainty estimates. Furthermore, we present a false positive detection method and a reduction approach minimizing non-detected objects of a neural network. We consider the problems of semantic segmentation, i.e., the pixel-wise classification of image content, and instance segmentation, which consists of categorizing as well as localizing objects by predicting each pixel that corresponds to a given instance. Our methods serve as post-processing steps, applicable to any semantic or instance segmentation network, which we test on different datasets and networks. The main focus of our methods lies on the application of automated driving. Using the availability of image sequences, we obtain further information of predictions without much effort for enhancing our approaches.
title: Verschuldung als gesellschaftliche und religiöse Herausforderung
Creators: name: Huber, Sara Linda
Year: 2021

description: Die Arbeit untersucht das Thema zunehmender Verschuldung und der damit verbundenen gesellschaftlichen und religiösen Herausforderungen in verschiedenen Erlasstexten des antiken Vorderen Orients. Dazu werden die altorientalischen Erlassedikte am Beispiel des Ediktes von König Ammi-ṣaduqa grundsätzlich vorgestellt. Biblisch verortet sich dieses Thema exemplarisch in Dtn 15,1–18 und Lev 25. Im Hauptteil werden beide Texte in ihren entstehungs- und sozialgeschichtlichen Kontext eingeordnet, kurz exegetisch analysiert und ihre jeweiligen theologischen Konzepte dargestellt. Die Arbeit schließt mit dem Vergleich der drei Texte, um der Frage nachzugehen, welche Motive Anlass zu Erlassedikten gaben und in welcher Weise sie deren Ausgestaltung prägten. Damit wird das Prinzip des Schuldenerlasses als wichtiger Mechanismus des Wirtschaftssystems von der Antike bis heute vorgeführt.
16: Chest X-Ray Images (Pneumonia)
Creators: name: Mayer, Simone
name: Hartmann, Dennis
name: Auer, Florian
name: Krafft, Tamara
Publisher: name: Zenodo
Year: 2023

description: This model was trained to detect, if a patient was suffering from pneumonia based on his / her X-ray (anterior-posterior). Available classes are NORMALPNEUMONIAThe model was trained using this script; a summary of its performance can be found here.
Evaluation annuelle du stock de coquilles Saint-Jacques de la baie de Seine : résultats de la campagne COMOR 46 (4 au 22 juillet 2016)
Creators: name: Foucher, Eric
Publisher: name: Ifremer
Year: 2016

description: Ifremer assess yearly the Bay of Seine stock of King scallop Pecten maximus, using data collected during a summer scientific survey. The survey COMOR46 took place in July 2016, during which 171 dredge hauls were made in the classified ground of Bay of Seine (located in French territorial waters) and the "Near Outside", area located further north, between the 12-mile limit and the parallel 49°48N.
The results of the assessment show, for all the areas surveyed, a similar situation of the stock than in 2015: excellent recruitment made of 2 years old individuals (cohort 2014), a relatively low amount of adults (3 years old and more King scallop), and a massive amount of 1 year old scallops (pre-recruitment). The exploitable estimated biomass is increasing: 20334 (+44%) and 15024 tons (+39%), respectively for the Bay of Seine and the “Near Outside”.
description: Chaque année, l’Ifremer procède à l’évaluation du stock de coquilles Saint-Jacques Pecten maximus de la baie de Seine à partir des données recueillies lors d’une campagne de prospection estivale. La campagne COMOR46 a eu lieu en juillet 2016, au cours de laquelle 171 traits de drague ont été effectués, dans le gisement classé de la baie de Seine (situé dans les eaux territoriales françaises) et dans la partie « Proche Extérieur » située plus au nord, entre la limite des 12 milles et le parallèle 49°48N.
Les résultats montrent, pour toutes les zones prospectées, une situation globale du stock très similaire à celle observée en 2015, avec un excellent recrutement constitué d’individus de 2 ans (cohorte 2014), une quantité relativement faible d’individus adultes (coquilles Saint-Jacques âgées de 3 ans et plus), et une quantité massive d’individus de 1 an (pré-recrutement). La biomasse exploitable estimée est globalement en augmentation par rapport à 2015 : 20334 (+44%) et 15024 tonnes (+39%), respectivement pour la baie de Seine et le Proche Extérieur.
Quantum Properties of Double Kicked Systems with Classical Translational Invariance in Momentum
Creators: name: Dana, Itzhack
Publisher: name: arXiv
Year: 2014
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Double kicked rotors (DKRs) appear to be the simplest nonintegrable Hamiltonian systems featuring classical translational symmetry in phase space (i.e., in angular momentum) for an \emph{infinite} set of values (the rational ones) of a parameter $η$. The experimental realization of quantum DKRs by atom-optics methods motivates the study of the double kicked particle (DKP). The latter reduces, at any fixed value of the conserved quasimomentum $β\hbar$, to a generalized DKR, the \textquotedblleft $β$-DKR\textquotedblright . We determine general quantum properties of $β$-DKRs and DKPs for arbitrary rational $η$. The quasienergy problem of $β$-DKRs is shown to be equivalent to the energy eigenvalue problem of a finite strip of coupled lattice chains. Exact connections are then obtained between quasienergy spectra of $β$-DKRs for all $β$ in a generically infinite set. The general conditions of quantum resonance for $β$-DKRs are shown to be the simultaneous rationality of $η$, $β$, and a scaled Planck constant $\hbar _{\mathrm{S}}$. For rational $\hbar _{\mathrm{S}}$ and generic values of $β$, the quasienergy spectrum is found to have a staggered-ladder structure. Other spectral structures, resembling Hofstadter butterflies, are also found. Finally, we show the existence of particular DKP wave-packets whose quantum dynamics is \emph{free}, i.e., the evolution frequencies of expectation values in these wave-packets are independent of the nonintegrability. All the results for rational $\hbar _{\mathrm{S}}$ exhibit unique number-theoretical features involving $η$, $\hbar _{\mathrm{S}}$, and $β$.
description: 10 pages, 4 figures
Infragravity waves and moored floating structures
Creators: name: Klinghammer, Christian
name: Prevosto, Marc
name: Le Boulluec, Marc
name: Perignon, Yves
Publisher: name: Ifremer
Year: 2015

description: Up to this day, design recommendations or practices for floating structures, such as DNVs RP-C205 and F205 for example, do not account for the existence of low frequency free Infragravity (IG) waves. These are low-frequency water waves which represent an additional excitation for (moored) floating structures. In this study, the influence of free IG waves on moored floating structures response is investigated and compared to second-order low-frequency wave forces, as the standard low frequency excitation, for two selected important free IG events in 2013 and 2014 at the SEM-REV (Site d'Experimentation En Mer - Récupération de l'Energie des Vagues) test site near Le Croisic, Pays-de-la-Loire, France. The wave forces and motion response for two example floater-mooringsystems are calculated and compared for the different frequency ranges separately and combined. Using the latest developments in the wind-wave framework WAVEWATCHIII®, e.g. the parameterized implementation of free IG sources at the reflecting boundaries, directional wave spectra including the low-frequency IG wave band are used. This study has been conducted between November 2014 and October 2015 in the scope of the axis 7 «Sea motions and interaction with marine structures» of the cluster of Excellence LabexMER "A changing ocean".
SeaDataNet. First Release of Regional Climatologies
Creators: name: Simoncelli, Simona
name: Coatanoan, Christine
name: Myroshnychenko, Volodymyr
name: Sagen, Helge
name: Bäck, Örjan
name: Scory, Serge
name: Grandi, Alessandro
name: Barth, Alexander
name: Fichaut, Michele
Publisher: name: SeaDataNet
Year: 2015

description: This document describes the temperature and salinity climatologies computed from the first version of the SeaDataNet aggregated data set. The climatologies are computed for the 6 sea basins: Mediterranean Sea, Black Sea, Arctic Sea, Baltic Sea, North Sea and North Atlantic Ocean.
Climate change risk and farmers' behavior: Testing main driving factors from social learning in northern Italy
Creators: name: Ricart, S.
name: Gandolfi, C.
name: Castelletti, A.
Publisher: name: Zenodo
Year: 2022

description: Because climate change is both a physical and social phenomenon, personal experience has been considered the first step to entail how individuals perceive climate change risk and which actions can be promoted to reduce their vulnerability. Considering that agriculture is affected by climate change in several ways, farmers can provide first-hand observations of climate change impacts and suggest better adaptation options. However, modeling farmers’ behavior is a non-trivial task: personal experience is well recognized as a complex non-linear, multi-variate process due to the high heterogeneity and uncertainties in human cognition and decision-making processes. Furthermore, individual understandings of climate change are always contextualized within broader considerations, meaning that farmers are not ‘blank slates’ receiving information about climate change, but that information is always and inevitably filtered through values and worldviews. Despite the burgeoning of research on climate change, information about farmers’ awareness and risk perception is not geographically homogenized and varies substantially among countries and regions. For example, studies from Global North regions are scarce and emphasize how farmers characterize themselves rather than how they perceive and react to climate change. Drawing on farmers’ surveys in the Lombardy region (Italy), we provide an empirical study to pre-test the triple-loop analysis of farmers’ behavior regarding climate change: awareness, perceived impacts, and adaptation measures and barriers. Applying descriptive statistics and considering socio-economic data and farm characteristics, we address two main research questions: 1) What are farmers’ perceptions of climatic impacts and which responses do they promote? 2) How do personal experience and attitude change is conditioning farmers’ adaptation capacity? Obtained results from accurate bottom-up knowledge on farmers’ behavior may increase policy-makers’ and managers’ understanding of climate change and re-think local policies, which is essential to address agricultural risks in climate change hotspots.
title: Dr. jur. Albert Keller-Rinderknecht, Rechtsanwalt
title: geb. 1865, gest. 1933
titleType: Subtitle
Creators: name: Hauri, Johann Rudolf
name: Curti, Eugen
name: Blass, Robert
Publisher: name: [Verlag nicht ermittelbar]
Year: 1933
Subjects: subject: 340 Recht
subject: 920 Biografien, Genealogie, Insignien
subject: Nachruf
subject: Keller, Albert
subject: Zürich
subject: Zürich-Oberstrass

description: Inhalt: Abdankungspredigt von Pfarrer J. R. Hauri ; Ansprache von Herrn Dr. Eugen Curti, Präsident des Kassationsgerichtes ; Ansprache von Herrn Dr. Robert Blass
Atom-Dimer Scattering and Stability of Bose and Fermi Mixtures
Creators: name: Cui, Xiaoling
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Motivated by a recent experiment by ENS group on the mixture of Bose and Fermi superfluids (arxiv:1404.2548), we investigate the effective scattering between a bosonic atom and a molecule(dimer) of fermion atoms. It is found that the mean-field prediction of the atom-dimer scattering length ($a_{ad}$), as simply given by the boson-fermion scattering length ($a_{bf}$), generically fails. Instead, $a_{ad}$ crucially depends on the ratio between $a_{bf}$ and $a_{ff}$ (the fermion-fermion scattering length), and in addition log-periodically depends on the three-body parameter. We identify the universal parameters in characterizing $a_{ad}$ for a wide range of $a_{ff}$ in the molecular side of the fermion-fermion Feshbach resonance, and further demonstrate that the atom-dimer many-body system can become unstable against either phase separation or collapse as tuning $a_{ff}$. Our results have some implications to the ENS experiment.
description: 5+2 pages, 5 figures; accepted version by PRA(R)
17: Breast Ultrasound Images Dataset
Creators: name: Mayer, Simone
name: Hartmann, Dennis
name: Auer, Florian
name: Krafft, Tamara
Publisher: name: Zenodo
Year: 2023

description: This model was trained to classify breast ultrasound images among women in ages between 25 and 75 years old. The images are categorized into three classes, which are normalbenignmalignantThe model was trained using this script; a summary of its performance can be found here.
The influence of learning styles and motivation on academic performance – a literature review The influence of learning styles and motivation on academic performance – a literature review
Creators: name: SABRINA FELDBERG
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Individual student accommodation and personalization are impactful when education is in diverse settings. One individual characteristic is the learning style that consists of preferences in processing information for students. Previous studies utilized the Index of Learning Styles questionnaire to identify learning styles, used the Felder-Silverman model and related motivational approaches and measured the impact on academic success by grade point average. The Felder-Silverman model includes four dimensions: active/reflective, sequential/ global, sensing/intuitive, and visual/verbal. The studies found combinations of different preferences, some showing a majority favoring the global approach while others the sequential. This pointed to the conclusion that a more balanced teaching approach to all the learning styles is needed to promote effective learning. Also, self-efficacy and consciousness had positive correlations with higher grades conversely to neuroticism. These findings show the benefit of educators fostering balanced learning curriculums and teaching strategies to encourage confident and diligent attitudes. Learning preferences and attitudes are important to note when adapting teaching styles.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Memory screens: The body and technology in time and space
Creators: name: Forde, Teresa
Publisher: name: University of Derby
Year: 2018
Subjects: film
television
memory
technology
screen

description: This critical review ascertains the development of the research into memory screens and the relationship between memory, history, the body and technology on film, television and related media experiences. The body of research develops from a consideration of the gendered body on screen. This theme is continued and refined throughout the research. I consider the conventional personification of technology as potentially threatening or recuperative in relation to concerns regarding bodily cohesion and individual identity in relation to history and memory formation. The main focus of the work becomes the negotiation of memory formation in relation to media at both a personal and social level and the relationship between viewers and film and television texts. I encompass and develop post-structural definitions of the body and the theoretical implications of engaging with contemporary media. The research also encompasses the experience of exhibition and fan activity in extending the process of memory screens and engagement with the media.
Additional file 6 of Improvements needed to support people living and working with a rare disease in Northern Ireland: current rare disease support perceived as inadequate
Creators: name: McMullan, Julie
name: Ashleen L. Crowe
name: Bailie, Caitlin
name: Moore, Kerry
name: McMullan, Lauren S.
name: Shamandi, Nahid
name: McAneney, Helen
name: McKnight, Amy Jayne
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology

description: Additional file 6. Distribution of ‘registry’ data.
18: CT Scans for COVID-19 Classification
Creators: name: Mayer, Simone
name: Hartmann, Dennis
name: Auer, Florian
name: Krafft, Tamara
Publisher: name: Zenodo
Year: 2023

description: Goal of this model is to identify, if a patient is suffering from COVID-19 or not, based on his / her chest CT. Original images were collected by the authors of this paper. The original images were collected from: http://ictcf.biocuckoo.cn/. Available classes are non-informative CT (NiCT) images where lung parenchyma was not captured for any judgmentnegative CT (nCT) images where imaging features in both lungs were irrelevant to COVID-19 pneumoniapositive CT (pCT) images where imaging features associated with COVID-19 pneumonia could be unambiguously discernedThe model was trained using this script; a summary of its performance can be found here.
Ostwald Ripening in Multiple-Bubble Nuclei
Creators: name: Watanabe, Hiroshi
name: Suzuki, Masaru
name: Inaoka, Hajime
name: Ito, Nobuyasu
Publisher: name: arXiv
Year: 2014
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: The ostwald ripening of bubbles is studied by molecular dynamics simulations involving up to 679 million Lennard-Jones particles. Many bubbles appear after depressurizing a system that is initially maintained in the pure-liquid phase, and the coarsening of bubbles follows. The self-similarity of the bubble-size distribution function predicted by Lifshitz-Slyozov-Wagner theory is directly confirmed. The total number of bubbles decreases asymptotically as $t^{-x}$ with scaling exponent $x$. As the initial temperature increases, the exponent changes from $x=3/2$ to $1$, which implies that the growth of bubbles changes from interface-limited (the $t^{1/2}$ law) to diffusion-limited (the $t^{1/3}$ law) growth.
description: 7 pages, 6 figures
title: Synthesis and Properties of 1,3,5,7-Tetra-tert-butyl-s-indacene
Creators: name: Hafner, Klaus
name: Stowasser, Bernd
name: Krimmer, Hans-Peter
name: Fischer, Stefanie
name: Böhm, Michael C.
name: Lindner, Hans Jörg
Publisher: name: Wiley
Year: 2023

description: To check the influence of substituents on the bonding of the 12π-perimeter of s-indacene, a tetraalkyl derivative, the title compound 1, was synthesized. 1, red needles, is weakly paratropic. Crystal structure analysis and NMR investigations indicate a delocalized or a localized π-electron system with only a small energy barrier between the π-bond isomers.
DOIs for ocean data, general principles and selected examples (Argo, French cruises)
Creators: name: Merceur, Frederic
Publisher: name: Ifremer
Year: 2016

description: This document describes the general principles of Digital Object Identifiers (DOI). It provide examples of DOI implementation useful for AtlantOS H2020 project networks. A DOI is an allocation of unique identifier. Generally used to identify scientific publications, a DOI can be attributed to any physical, numerical or abstract resource.
Computing with Coloured Tangles
Creators: name: Carmi, Avishy Y.
name: Moskovich, Daniel
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computational Complexity (cs.CC)
subject: FOS: Computer and information sciences
subject: F.2.2
subject: 68Q15, 57M99

description: We suggest a diagrammatic model of computation based on an axiom of distributivity. A diagram of a decorated coloured tangle, similar to those that appear in low dimensional topology, plays the role of a circuit diagram. Equivalent diagrams represent bisimilar computations. We prove that our model of computation is Turing complete, and that with bounded resources it can moreover decide any language in complexity class IP, sometimes with better performance parameters than corresponding classical protocols.
description: 36 pages,; Introduction entirely rewritten, Section 4.3 added
Towards a foundation of scholarly records management: a framework to understand and organise scholarly communication
Creators: name: Martín-Martín, Alberto
Publisher: name: Zenodo
Year: 2022

description: Since the creation of the first academic journals in 1665, formal scholarly communication has increasingly been articulated as a publishing activity. From this moment and until the development of digital communication technologies, print publishing became the principal means of communication among geographically dispersed academic communities. Eventually, print journals, monographs, conference proceedings and other scholarly documents began to be collectively referred to as the scholarly record, as they effectively served as authoritative evidence of scholarly activities and discoveries. By the 20th century, publishing articles in established journals (or monographs with reputable publishers), was already the default method for communicating scholarship in most academic disciplines. The explosive growth in publications that followed the end of WWII only led to the creation of more publishing venues.
CORIOLIS. Rapport d’activités 2016
Creators: name: Pouliquen, Sylvie
name: Maze, Guillaume
name: Lebreton, Nathanaele
name: D'Ortenzio, Fabrizio
name: Alory, Gaël
name: Delcroix, Thierry
name: Bourles, Bernard
name: Blouch, Pierre
name: Guinet, Christophe
name: Gouriou, Yves
name: Gaillard, Fabienne
name: Heyndrickx, Céline
name: Le Menn, Marc
name: Testor, Pierre
name: Donato, Vincent
name: Charria, Guillaume
name: Carval, Thierry
name: Reverdin, Gilles
name: Emzivat, Gilbert
Publisher: name: CNES, CNRS, Ifremer, IPEV, IRD, Météo France, SHOM, CEREMA
Year: 2017

description: Rapport d'activité Coriolis pour l'année 2016 dans le cadre de la convention cadre Coriolis 2014-2020
Catching Sockpuppetry in Wikipedia - A Systematic Literature Review of Detection Methods
Creators: name: PRIYANSHU GHOSH
name: ANANYA ARVIND
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Malicious users often resort to sockpuppet accounts to vandalize, defraud, or spread misinformation on online platforms, bypassing security metrics and violating the platform's terms of service. Wikipedia, a crowdsourced encyclopedia, is frequented by such challenges with sockpuppetry, resulting in consequences such as misinformation, vote stacking, false majority opinions, and undisclosed paid editing. Wikipedia lacks an internal detection system for these sockpuppet accounts, relying on inefficient manual detection and banning processes, enabling malicious users to evade suspensions through unbanned accounts. Our research compares the two-leading proposed sockpuppet detection methods—Support Vector Machine (SVM) and RF (Random Forest) algorithms—and finds that the RF model displays superior performance at a general level. Considering feature selection, scale of detection, and performance metrics, unique strengths were found for both. Regarding scale of detection, for example, the RF model thrives when operating with the cluster approach, whereas the SVM model performs best with the combined model approach. Looking exclusively at metrics, the papers analyzed contained their highest reported accuracy for SVM at 92.6%, whereas RF was able to generate 99.8% accuracy. All factors considered, the RF model yields the best results overall for sockpuppet detection on Wikipedia when trained with an emphasis on nonverbal features.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
title: Brain-Drain versus Brain-Gain
Creators: name: Eder, Philip
Year: 2021

description: Arbeitsmigration war seit jeher eine wesentliche Determinante der europäischen Wanderungsbewegungen. Auch heute ist die Mobilität innerhalb Europas stark von dieser Migrationsform geprägt. Besondere Aufmerksamkeit gilt dabei der Gruppe der gut ausgebildeten hochqualifizierten Arbeitsmigrant*innen, die auf den europäischen Arbeitsmärkten als sehr begehrt gelten. Das migrationssoziologische Konzept Brain- Gain/Brain-Drain, welches dieser Forschungsarbeit als theoretische Grundlage dient, greift diese Thematik auf und befasst sich mit dem Phänomen der daraus resultierenden länderspezifischen überproportionalen Ein- oder Auswanderung. Innerhalb dieses theoretischen Rahmens beschäftigt sich vorliegende Arbeit mit der Forschungsfrage, inwiefern sich die Arbeitsmigration hochqualifizierter Migrant*innen in Österreich von jener in der Schweiz in den letzten zwei Jahrzehnten differenzierte. Dabei wurden anhand quantitativer Migrationsdaten, erhoben durch nationale und internationale Statistikinstitute, die Migrationsbewegungen in beiden Ländern analysiert und einander gegenübergestellt. Zu erkennen war, dass sich die Arbeitsmigration der Hochqualifizierten in der Schweiz und in Österreich durch einen größeren Zu- als Abfluss auszeichnete, wobei in Österreich sowohl die Immigrations- als auch die Emigrationsrate geringer war. Ebenso konnte festgestellt werden, dass die Anzahl der Arbeitsmigrant*innen im Untersuchungszeitraum kontinuierlich anstieg, der überwiegende Teil der hochqualifizierten Immigrant*innen männlich war und die Einwanderung die nationalen Arbeitsmärkte potentiell negativ beeinflusste.
description: Labor migration has always been a major determinant of European migration. Nowadays, particular attention is paid to the group of well-trained, highly qualified labor migrants, who are very popular among the European labor markets. One theory within the field of migration-sociology which addresses this topic is the Brain-Gain/Brain- Drain concept. It deals with the phenomenon of country-specific disproportionate immigration and emigration and serves as the theoretical basis for this master thesis. Within this theoretical framework, this paper examines the extent to which the labor migration of highly qualified migrants in Austria has differed from that in Switzerland over the past two decades. The migration movements in both countries were analyzed and compared using quantitative migration data collected by national and international 125 statistical offices. It has been displayed that the labor migration of the highly qualified in Switzerland and Austria was characterized by a larger inflow than outflow, whereby in Austria both the immigration and emigration rates were lower. It was also found that the number of labor migrants increased steadily over the investigated period, the majority of highly qualified immigrants were male, and immigration had a potentially negative impact on national labor markets.
The Impact of Peer Learning and the Flipped Classroom Model on Large Classrooms – A Literature Review
Creators: name: PHANISHREE GUNUKULA
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Learning from mistakes is a crucial part of a student’s education. Larger classroom sizes make it significantly more difficult for students to learn from their mistakes because of the lack of personalized instruction. To allow more time for personalized teaching, the flipped learning model was introduced, which consists of teachers assigning lecture materials to be studied outside of the classroom and students applying the knowledge during the class. Studies have proven that flipped learning has not only produced higher test scores than traditional learning practices, but it has also increased students’ critical thinking skills. Another issue with larger classroom sizes is that it is nearly impossible for all students’ questions and mistakes to be given attention to. To combat this issue, a peer learning strategy was introduced, in which students learn from and with other students. Researchers found that classrooms that engage in peer learning have increased test scores compared to classrooms without, and that using peer learning students have increased social skills and are more open minded towards new ideas. Both the flipped classroom model and peer learning should be adapted to more classrooms since they both help students learn from their mistakes despite the constraints of large classrooms.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Factors Affecting Teacher Procrastination – A Literature Review
Creators: name: NEIL RUDRA
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Negative emotions from teachers (e.g., feeling stressed, bored, or irritated), have a direct effect on students, teachers, other staff, and parents. Teachers often feel negative emotions due to a lack of motivation, external pressure, or not being able to achieve perfectionism, which results in them procrastinating their actions and duties. These negative emotions cause lessons to suffer in quality, which hurts students' ability to understand the content and score well on tests. The research indicates external pressure has a large impact on teacher procrastination, for instance, teachers need to perform many administrative tasks that they consider unnecessary leaving little time for creative presentation and discussions. Additionally, a strict and rigid curriculum contributes to procrastination as teachers do not feel comfortable teaching in a pre-established manner with no flexibility. However, if there is no rigid and set curriculum, parents would be confused about what their child is learning, so finding a balance between following the curriculum and the teacher's ability to impact the lesson is important. In conclusion, reducing the administrative burden and curriculum rigidity may reduce teachers’ procrastination and improve the quality of teaching.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
title: ENTAM - Test Report D 2256 : Trailed field crop sprayer Hardi – AEON 5200
Creators: name: JKI-Institut Für Anwendungstechnik Im Pflanzenschutz
Publisher: name: Bundesbehörden und Einrichtungen im Geschäftsbereich des Bundesministeriums für Ernährung und Landwirtschaft (BMEL)
Year: 2022
Subjects: subject: 600

description: Geräteprüfberichte des JKI
19: Retinal Fundus Multi-Disease Image Dataset (RFMiD)
Creators: name: Mayer, Simone
name: Hartmann, Dennis
name: Auer, Florian
name: Krafft, Tamara
Publisher: name: Zenodo
Year: 2023

description: This model was trained on a dataset created for RIADD's classification sub-challenge.It's a multi-class, multi-label classification task, where a wide range of diseases is to be detected in ophthalmological images. Classes that can be found are: DRARMDMHDNMYABRVOTSLNERMLSMSCSRODCCRVOTVAHODPODESTAIONPTRTRSCRSEDNRPECMHLRPOTHERNORMALThe model was trained using this script; a summary of its performance can be found here.
Effective Machine Learning Algorithms Using Procrastination Indicators to Predict Task Completion Rates – A Literature Review
Creators: name: ESHA LOHIYA
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Academic procrastination is an issue many students face, and it can have consequences to students’ mental health and quality of work. Machine learning algorithms can be used to predict the effects of academic procrastination on task completion; however, these algorithms need features that are good indicators of procrastination. Procrastination indicators used by previous studies include student self-ratings of academic procrastination, activity logs, time-stamped trace data of studying, and interaction behavior of computer-based learning environments. Previous studies explore the use of new technology, apps, and virtual learning assistants to monitor and predict procrastination-related behaviors. These studies use techniques such process mining, unsupervised machine learning, and probabilistic mixture models to identify student behavior patterns and connection to academic outcomes. For identifying the relationship between procrastination and academic performance, qualitative data (e.g., detailed student activity logs) was found more valuable than quantitative data (e.g., timestamped interactions, with computer-based learning environments). The next step of this research is to design an experiment and collect student procrastination indicator data that can be used to develop a random forest algorithm to predict task completion rates.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Social, cultural and economic factors influencing the academic performance – an experiment design
Creators: name: CURRAN KASIREDDY
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Previous studies have shown the impact of factors such as teaching methods, curriculum design, and student motivation on student performance. However, the impact of cultural factors on student achievement has been overlooked in the schooling system’s focus on enhancing academic achievement. Previous research investigates the impacts of ethnicity, socio-economic status, and student mobility on students’ quiz performance. Studies have shown that there is a strong correlation between socio-economic status (SES) and educational outcomes, with students from higher SES backgrounds generally demonstrating better test scores and overall academic performance. Additionally, ethnicity has also been shown to affect academic success, with certain groups consistently outperforming others. The design of an experiment to analyze such relationships must consider a group of students from diverse backgrounds with respect to the academic performance as measured by test results or partial course grades. The results may allow educators to make more effective personalized strategies of teaching such as custom curriculum to accommodate diverse learning needs and can foster improved outcomes for those who face challenges.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Entwicklung eines multimodalen Prozessmodells zur Oberflächenkonditionierung beim Außenlängsdrehen von 42CrMo4
Creators: name: Stampfer, Benedict
Publisher: name: Shaker Verlag
Year: 2023
Subjects: Surface Integrity
Zerspanung
42CrMo4
FEM
Machine Learning

description: Ziel der Arbeit ist es, Prozessmodelle zur Vorhersage und Beeinflussung von Randschichtzuständen zu identifizieren, um die Regelung des Außenlängsdrehens von 42CrMo4 zu ermöglichen. Als Modelleingangsgrößen sollen die Schnittgeschwindigkeit, der Vorschub, die Schnitttiefe, die Trocken- und die Nasszerspanung, die Anlasstemperatur des Werkstücks sowie der Schneideckenradius und die Verschleißmarkenbreite des Werkzeugs berücksichtigt werden. Ziele der Prozessregelung sind die Einstellung einer gewünschten Oberflächenrauheit, die Einstellung einer vorwiegend durch Kornfeinung und Kaltverfestigung induzierten Randschichthärtung sowie die Einstellung von Druckeigenspannungen an und unter der Oberfläche. Für die Oberflächenrauheit soll ein quantitatives Modell der gemittelten Rautiefe identifiziert werden. Die Randschichtverfestigung soll durch Vickers Mikrohärtemessungen quantifiziert und ebenfalls modelliert werden. Die Tiefenverläufe der axialen und der tangentialen Normalspannungen werden durch geeignete Kennwerte charakterisiert und modelliert. Weiterhin soll ein recheneffizientes FE-Modell zur Simulation von Eigenspannungen entwickelt werden, das auf thermomechanischen Werkstücklasten beruht. Damit sollen Tendenzen des analytischen Eigenspannungsmodells mittels Mechanismenwissen erklärt und bestätigt werden.
Unveiling Sockpuppets: A Systematic Review on Feature Selection for Automated Sockpuppet Detection in Wikipedia
Creators: name: CHIOH LEE
name: AKHIL RACHAKONDA
name: Boicu, Mihai
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: While social media platforms provide an open space for opinion sharing, they face credibility challenges from users who create multiple deceptive identities, or sockpuppet accounts, to engage in discussions to manipulate public opinions giving false impressions of the majority. With virtually no defensive measures in place, social media platforms have been exploited to manipulate public sentiment, jeopardizing their credibility. Accordingly, eight recent Wikipedia-focused sockpuppet detection studies were reviewed to analyze and compare inter-cluster and intra-cluster feature selection for automated sockpuppet detection methods. Early sockpuppet detection studies focused on stylistic verbal features. This method was followed by the implementation of non-verbal features. Recent studies tend to focus on a fusion of non-verbal and contextual verbal features, which can identify patterns within the text. The analysis reveals that these shifts in feature selection are accompanied by changes in experimental research methodologies, including the notable shift from Support Vector Machine to Random Forest (RF) as the detection model and the adoption of K-Fold Cross Validation for improving performance estimation consistency, with the most effective solution being the combination of RF with non-verbal features. These findings highlight the importance of feature selection and changes in identifying features over time to effectively detect sockpuppet accounts.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Additional file 1 of Gene networks for three feed efficiency criteria reveal shared and specific biological processes
Creators: name: Taussat, Sébastien
name: Mekki Boussaha
name: Yuliaxis Ramayo-Caldas
name: Martin, Pauline
name: Venot, Eric
name: Cantalapiedra-Hijar, Gonzalo
name: Hozé, Chris
name: Fritz, Sébastien
name: Renand, Gilles
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1. List of breeds included in the reference population panel for whole-genome imputation.
title: The challenges of addressing tax non-compliance in the digitalization era
Creators: name: Alimadhi, Adela
Year: 2021

description: Unabhängig davon, wie die heutigen Unternehmen ihre Expansionsziele jenseits der nationalen Grenzen erreichen wollen, ist das Hauptproblem die Tatsache, dass die Steuerbehörden mit einem Bündel von Problemen konfrontiert sind, die sich um die Zusammenarbeit und die rechtlichen Grenzen drehen. In der Tat reichen die Geschäftsziele großer Konzerne weiter als die nationale Steuerpolitik eines oder sogar einiger Länder. Steuervermeidung ist der typische und relevanteste Fall, der die Begrenztheit der rechtlichen Instrumente bei der Erzeugung von rechtlicher Verantwortung zeigt. Im Gegensatz dazu sind Steuerhinterziehung und Steuerbetrug eindeutig als illegale Aktivitäten geregelt, die strafrechtlich geahndet werden. De jure sind die oben genannten Begriffe leicht zu unterscheiden, während de facto die heutigen Geschäftsmodelle und ihre "aggressive Steuerplanung" Unsicherheit und eine Grauzone zwischen Legalität und Illegalität schaffen. Sicherlich gab es diese Missstände auch schon vor der Internet-Ära oder gar der Globalisierung, aber die heutigen Herausforderungen haben andere Dimensionen. Da große globalisierte Unternehmen schon seit geraumer Zeit eine Herausforderung für die Steuerbeamten aller Länder darstellen, vervielfacht sich dieses Problem in einem noch moderneren Konzept, nämlich im Fall großer multinationaler Unternehmen, die immaterielle Produkte oder sogar materielle Produkte über Geschäftsmodelle oder Plattformen anbieten, die hauptsächlich im Internet angeboten werden. Ein großes Problem ist, dass nicht jedes immaterielle Produkt von den Behörden bepreist oder mit einem Marktwert versehen werden kann, da es eine unendliche Anzahl von Möglichkeiten gibt, neue Produkte zu schaffen. Es gibt zahlreiche Probleme im Zusammenhang mit der Zuweisung des richtigen Wertes für immaterielle Güter, angefangen von immateriellen Gütern als digitale Produkte bis hin zu immateriellen Gütern als Unternehmensvermögen. Praktiken, die zu einer Unterbewertung von immateriellen Vermögenswerten führen, schaffen ein unfaires Marktumfeld für Unternehmen, die nichts mit immateriellen Vermögenswerten zu tun haben. Diese Praktiken sind sowohl aus buchhalterischer als auch aus rein rechtlicher Sicht sehr interessant zu betrachten. Wenn es Unstimmigkeiten beim Preis oder Wert von immateriellen Vermögenswerten oder immateriellen Produkten gibt, ergeben sich daraus Möglichkeiten, Verrechnungspreise und Techniken zur Aushöhlung der Bemessungsgrundlage zu nutzen sowie leichteren Zugang zu Geheimhaltungsvorschriften zu erhalten. All diese Regelungen werden sich langfristig in der Gesellschaft und auf dem Markt widerspiegeln und unabsehbare Schäden verursachen. Eines ist klar: Riesige Unternehmen, die im Bereich der immateriellen Güter erfolgreich sind und die Ära der Digitalisierung nutzen, haben eine ziemlich vorteilhafte Position im Vergleich zu anderen Marktteilnehmern.