cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Unconventional Pressure Dependent Interorbital and Interlayer Doping in Superconducting Nickelates
Creators: name: Huang, Y. N.
name: Singh, D. J.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The discovery of nickelate superconductivity provided the first example of a non-copper-based material with superconductivity strongly analogous to the cuprates, but recent findings raise questions and inconsistencies around the electron counts and doping phase diagrams. We show using superconducting La$_4$Ni$_3$O$_{10}$ that there are unconventional interlayer and interorbital intrinsic doping effects that render the $d_{x^2-y^2}$ orbital occupation similar to the cuprates. The results enable a consistent framework for nickelate superconductivity, while maintaining the connection between cuprate and nickelate superconductors.
Forschungsdatenmanagement Universität Hildesheim, Bildungsforschung (2018).
Creators: name: Strauch, Annette
Publisher: name: Zenodo
Year: 2020
Subjects: FDM
Forschungsdatenmanagement

description: Inklusive Bildungsforschung der frühen Kindheit und FDM. Hildesheim, 16.10.2018.
Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy
Creators: name: García-Ponsoda, Sandra
name: Maté, Alejandro
name: Trujillo, Juan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Background: EEG signals are commonly used in ADHD diagnosis, but they are often affected by noise and artifacts. Effective preprocessing and segmentation methods can significantly enhance the accuracy and reliability of ADHD classification. Methods: We applied filtering, ASR, and ICA preprocessing techniques to EEG data from children with ADHD and neurotypical controls. The EEG recordings were segmented, and features were extracted and selected based on statistical significance. Classification was performed using various EEG segments and channels with Machine Learning models (SVM, KNN, and XGBoost) to identify the most effective combinations for accurate ADHD diagnosis. Results: Our findings show that models trained on later EEG segments achieved significantly higher accuracy, indicating the potential role of cognitive fatigue in distinguishing ADHD. The highest classification accuracy (86.1%) was achieved using data from the P3, P4, and C3 channels, with key features such as Kurtosis, Katz fractal dimension, and power spectrums in the Delta, Theta, and Alpha bands contributing to the results. Conclusion: This study highlights the importance of preprocessing and segmentation in improving the reliability of ADHD diagnosis through EEG. The results suggest that further research on cognitive fatigue and segmentation could enhance diagnostic accuracy in ADHD patients.
Case Studies of the EU's CFSP Activity
Creators: name: Szép, Viktor
name: Wessel, Ramses
name: Vandendriessche, Marie
name: Moreno Villar, Carlota
name: Uzun, Ezgi
name: Ojanen, Hanna
name: Rybnikárová, Lucia
name: Gubalova, Vladislava
name: Kuruc, Juraj
Publisher: name: Zenodo
Year: 2023

description: A new geopolitical reality and challenges in the EU’s close neighbourhood, especially the war in Ukraine, have drawn attention once again towards examining whether the Common Foreign and Security Policy (CFSP) and its instruments work. This working paper re-assesses the effectiveness, coherence and sustainability of EU CFSP actions through case studies. In doing so, this paper tests and refines a set of assessment criteria – developed partially in ENGAGE Working Paper 10 on intelligence and security cooperation, and partially in these pages – to identify specific obstacles to, as well as possibilities for, coherent EU foreign policy. The paper examines two geographical-oriented case studies (Western Balkans and Iran) and three thematic case studies (EU sanctions against Russia, the EU’s role in international organisations and EU intelligence cooperation). Building on more theoretical notions in previous ENGAGE papers, this study assesses CFSP in action by applying, whenever possible, at least one effectiveness, one coherence, and one sustainability-related assessment criterion.  The paper further analyses, when relevant, the decision-making procedures applied in the case studies, focusing on whether decisions were made by unanimity or by qualified majority voting.
Mapping the Current Legal Basis  and Governance Structures of the EU's CFS
Creators: name: Szép, Viktor
name: Wessel, Ramses
Publisher: name: Zenodo
Year: 2021

description: The EU’s Common Foreign and Security Policy (CFSP) is subject to “specific rules and procedures” that seem to stand in the way of its effectiveness. This Working Paper assesses the special legal nature of the CFSP and explores the legal possibilities to enhance decisionmaking procedures. It argues that current EU Treaties should not necessarily be amended to achieve better outcomes. In fact, the Treaty on European Union (TEU) provides for some “sleeping beauties” that have rarely been used. In particular if there is (political) willingness, the Treaties enable the wider use of qualified majority voting in CFSP matters. Moreover, with the entry into force of the Lisbon Treaty, a group of willing Member States could also use enhanced cooperation, which enables the establishment of a new line of policy in CFSP matters.
Reseña de Félix San Vicente y Alfonso Zamorano Aguilar con Sergio Rodríguez Tapia, Gramática y aprendizaje de lenguas. Enfoques gramatológicos, metalingüísticos y textuales
Creators: name: Manzione, Cecilia
Publisher: name: Artifara
Year: 2020

description: El libro se enmarca en la línea de los estudios gramatológicos, con especial atención a la relación de la gramática con el aprendizaje de lenguas, como lo indica su título. Los artículos problematizan la enseñanza del español como segunda lengua desde el siglo XVII al siglo XIX en distintas culturas, con el aporte de textos que tratan la enseñanza del inglés a partir de lenguas europeas diversas y viceversa, que sirven para contextualizar la temática. The book belongs in the line of grammatical studies, with special attention to the relationship between grammar and language learning, as indicated by the title. The articles included problematize the teaching of Spanish as a second language from the 17th century to the 19th century in different cultures, with the contribution of texts that deal with the teaching of English from different European languages, and viceversa, which allows to contextualize the main theme.
description: Artifara, N. 20 (2020)
Case Studies of  the EU's CSDP Activity
Creators: name: Sabatino, Ester
name: Mesarovich, Alexander
name: Väisänen, Arto
name: Schnitzler, Gaspard
name: Santopinto, Federico
Publisher: name: Zenodo
Year: 2023

description: Civilian and military missions and operations represent one of the main activities of the Common Security and Defence Policy (CSDP). In twenty years of deployment abroad, the  European Union (EU) has engaged in 40 deployments in Europe, Africa and Asia. Thus, CSDP is one relevant tool for the external action of the EU.

This paper evaluates CSDP missions and operations in Kosovo, Bosnia and Herzegovina (BiH), Democratic Republic of Congo (DRC) and Mali. The pool of selected case studies includes missions and operations that represented institutional firsts, such as the EU Police Mission (EUPM) in BiH or the European Union Force Democratic Republic of the Congo (EUFOR), Operation Artemis, and deployments that have lasted for more than a decade. These deployments are characterised by different cooperative frameworks with third countries and international organisations, thus allowing an evaluation of how the EU interacts with partners. 

The paper applies the assessment framework presented in ENGAGE Working Paper 9 to evaluate effectiveness, efficiency, coherence and sustainability of CSDP activities. The results of the analysis show differences among the deployments, while also identifying common obstacles. These common obstacles suggest the possibility to improve the effectiveness and sustainability of EU external action.
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization
Creators: name: Pirnay, Jonathan
name: Grimm, Dominik G.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The constructive approach within Neural Combinatorial Optimization (NCO) treats a combinatorial optimization problem as a finite Markov decision process, where solutions are built incrementally through a sequence of decisions guided by a neural policy network. To train the policy, recent research is shifting toward a 'self-improved' learning methodology that addresses the limitations of reinforcement learning and supervised approaches. Here, the policy is iteratively trained in a supervised manner, with solutions derived from the current policy serving as pseudo-labels. The way these solutions are obtained from the policy determines the quality of the pseudo-labels. In this paper, we present a simple and problem-independent sequence decoding method for self-improved learning based on sampling sequences without replacement. We incrementally follow the best solution found and repeat the sampling process from intermediate partial solutions. By modifying the policy to ignore previously sampled sequences, we force it to consider only unseen alternatives, thereby increasing solution diversity. Experimental results for the Traveling Salesman and Capacitated Vehicle Routing Problem demonstrate its strong performance. Furthermore, our method outperforms previous NCO approaches on the Job Shop Scheduling Problem.
description: Accepted at ECAI-2024
The role and interpretation of damping in the prediction of human induced floor vibration response levels
Creators: name: Carson, Jack
name: Hilliard, Scott
name: Haritos, Nicholas
Publisher: name: Swinburne
Year: 2024

description: The incidence of human-induced vibrations in floor systems in newly constructed commercial buildings that are perceptible, or even worse, annoying, seems to have escalated in recent times. This situation is considered to have arisen as a result of the confluence of a number of contributing factors, mainly that of increased span lengths in flooring systems and lower levels of damping associated with the modern workforces’ shift to the ‘paperless office.’ This paper investigates the latter of these factors further by analysing vibration response measurements on four separate, nominally structurally, identical floor systems (four stories in the same office building). Two of the floors were fully outfitted for imminent release and occupation, one was partly outfitted and the other consisted of just bare structure with installed services but no floor coverings of office equipment. Difficulties encountered in extracting reportable values through the authors’ modelling interpretations are also discussed.
Evaluating the proposed transparency model of financial reporting based on the cost of capital of common share
Creators: name: Asl, Farzaneh Yousefi
name: Molanazari, Mahnaz
name: Gholamreza Soleimany Amiri
Publisher: name: figshare
Year: 2020
Subjects: subject: 150199 Accounting, Auditing and Accountability not elsewhere classified
subject: FOS: Economics and business
subject: 150105 Management Accounting
subject: 150102 Auditing and Accountability
subject: 150103 Financial Accounting

description: Transparency is the core of modern financial reporting and assist users in understanding the business unit stems. despite the importance of this concept, the general definition of it is not provided in the Literature. Several methods for the measurement of transparency used that result in different justifications.So we expected there be negative relationship between the cost of capital and transparency of financial reporting. Since transparency reduces uncertainty about the intrinsic value of firms so that it results in expected negative relationship between cost of capital and transparency of financial reporting. We expected more Comprehensive transparency model led to stronger test of the economic Consequences of transparency. Research findings show that the Comprehensive proposed transparency of financial reporting has significant negative correlation with subsequent excess returns and expected costs of capital. While the relationship between disclosure index of the The Securities and Exchange Organization with these variables is not significant.there are significant relationship between dimensions of Public disclosure information and Insider information and with subsequent excess returns and expected costs of capital.
Diversification of International Relations and the EU: Understanding the Challenges
Creators: name: Müller, Gustavo
name: Raube, Kolja
name: Sus, Monika
name: Deo, Akhil
Publisher: name: Zenodo
Year: 2021

description: This working paper sheds light on the ongoing transformations of the global order and the growing diversification of international relations. It presents and analyses the major trends and drivers that will shape international relations and international security in the decades ahead, and their possible impact on the European Union’s security and its external action.

It argues that a gravitational shift of world affairs, which move from West to East, is underpinned by the long-term geoeconomic, geopolitical and normative rise of the Indo-Pacific Region and, above all, the rise of China. At the same time, it sustains that, while states remain the major actors in international relations, non-state transnational actors have gained in importance, in their capacity to exercise power and in their ability to create and respond to threats.

By reviewing 20 foresight studies and scenario exercises developed since 2016, and whose authors aimed at mapping out key political and socio-economic trends that might impact the European Union over the coming decades, the paper presents and analyses six key drivers, arranged in three main categories: climate change and energy (natural disasters and degradation of natural environment and energy security); technological revolutions (technological innovation, and digital connectivity); and demographics (migration anddemographic transformations). In addition, the paper compiles different scenarios for the future of global order and the European Union external action as presented in the reviewed foresight studies.

In conclusion, it argues that the multiple combinations of the key drivers offer the EU opportunities to show leadership and shape international relations, even despite the gravitational shift towards the Indo-Pacific.
CNNCat: Categorizing high-energy photons in a Compton/Pair Telescope with Convolutional Neural Networks
Creators: name: Lommler, Jan Peter
name: Oberlack, Uwe
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: A Compton/Pair telescope, designed to provide spectral resolved images of cosmic photons from sub-MeV to GeV energies, records a wealth of data in a combination of tracking detector and calorimeter. Onboard event classification can be required to decide on which data to downlink with priority, given limited data-transfer bandwidth. Event classification is also the first and one of the most crucial steps in reconstructing data. Its outcome determines the further handling of the event, i.e., the type of reconstruction (Compton, pair) or, possibly, the decision to discard it. Errors at this stage result in misreconstruction and loss of source information. We present a classification algorithm driven by a Convolutional Neural Network. It provides classification of the type of electromagnetic interaction, based solely on low-level detector data. We introduce the task, describe the architecture and the dataset used, and present the performance of this method in the context of the proposed (e-)ASTROGAM and similar telescopes.
description: Accepted for publication in Experimental Astronomy
Thermodynamics-Consistent Graph Neural Networks
Creators: name: Rittig, Jan G.
name: Mitsos, Alexander
Publisher: name: arXiv
Year: 2024
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We propose excess Gibbs free energy graph neural networks (GE-GNNs) for predicting composition-dependent activity coefficients of binary mixtures. The GE-GNN architecture ensures thermodynamic consistency by predicting the molar excess Gibbs free energy and using thermodynamic relations to obtain activity coefficients. As these are differential, automatic differentiation is applied to learn the activity coefficients in an end-to-end manner. Since the architecture is based on fundamental thermodynamics, we do not require additional loss terms to learn thermodynamic consistency. As the output is a fundamental property, we neither impose thermodynamic modeling limitations and assumptions. We demonstrate high accuracy and thermodynamic consistency of the activity coefficient predictions.
Cell theories for the chiral crystal phase of hard equilateral triangles
Creators: name: Martinez-Raton, Yuri
name: Velasco, Enrique
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We derive several versions of the cell theory for a crystal phase of hard equilateral triangles. To that purpose we analytically calculated the free area of a frozen oriented or freely rotating particle inside the cavity formed by its neighbours in a chiral configuration of their orientations. From the most successful versions of the theory we predict an equation of state which, despite being derived from a crystal configuration of particles, describes very reasonably the equation of state of the 6-atic liquid-crystal phase at packing fractions not very close from the isotropic-6-atic bifurcation. Also, the same equation of state performs well when compared to that from MC simulations for the stable crystal phase. The agreement can even be improved by selecting adequate values for the angle of chirality.Despite the success of two of the versions of the theory for the pressure, we show that the free-energy is an increasing function of the angle of chirality, implying that the most stable phase is the achiral phase. Furthermore, we show that possible clustering effects, such as the formation of perfect chiral hexagonal clusters, which in turn crystallize into an hexagonal lattice, cannot explain the presence of the chirality observed in simulations.
description: 16 pages. 14 figures
Controllable Navigation Instruction Generation with Chain of Thought Prompting
Creators: name: Kong, Xianghao
name: Chen, Jinyu
name: Wang, Wenguan
name: Su, Hang
name: Hu, Xiaolin
name: Yang, Yi
name: Liu, Si
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Instruction generation is a vital and multidisciplinary research area with broad applications. Existing instruction generation models are limited to generating instructions in a single style from a particular dataset, and the style and content of generated instructions cannot be controlled. Moreover, most existing instruction generation methods also disregard the spatial modeling of the navigation environment. Leveraging the capabilities of Large Language Models (LLMs), we propose C-Instructor, which utilizes the chain-of-thought-style prompt for style-controllable and content-controllable instruction generation. Firstly, we propose a Chain of Thought with Landmarks (CoTL) mechanism, which guides the LLM to identify key landmarks and then generate complete instructions. CoTL renders generated instructions more accessible to follow and offers greater controllability over the manipulation of landmark objects. Furthermore, we present a Spatial Topology Modeling Task to facilitate the understanding of the spatial structure of the environment. Finally, we introduce a Style-Mixed Training policy, harnessing the prior knowledge of LLMs to enable style control for instruction generation based on different prompts within a single model instance. Extensive experiments demonstrate that instructions generated by C-Instructor outperform those generated by previous methods in text metrics, navigation guidance evaluation, and user studies.
description: ECCV 2024
Promoting the practice of exclusive breastfeeding: a philosophic scoping review
Creators: name: Amoo, Tumilara Busayo
name: Popoola, Tosin
name: Lucas, Ruth
Publisher: name: Open Access Te Herenga Waka-Victoria University of Wellington
Year: 2022
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 111499 Paediatrics and Reproductive Medicine not elsewhere classified
subject: FOS: Clinical medicine

description: Abstract Background The World Health Organization recommends exclusive breastfeeding for the first 6 months of an infant’s life and continued breastfeeding for 2 years. The global rate of exclusive breastfeeding is low at 33%. Thus, it is important to identify philosophical and theory-based strategies that can promote exclusive breastfeeding. The aim of the study was to identify philosophical schools of thought and theories used in research on promoting the practice of exclusive breastfeeding. Methods A scoping review using Arksey and O'Malley's framework explored the phenomenon of exclusive breastfeeding practice promotion. Searches were conducted using CINAHL Plus full-text, PubMed, APA PsycInfo, and Academic Search Premier. Search terms included theory, philosophy, framework, model, exclusive breastfeeding, promotion, support, English, and publication between 2001—2022. Results The online search yielded 1,682 articles, however, only 44 met the inclusion criteria for the scoping review. The articles promoting exclusive breastfeeding used pragmatism (n = 1) or phenomenology (n = 2) philosophies and theories of self-efficacy (n = 10), theory of planned behaviour (n = 13), social cognitive theories (n = 18) and represented 16 countries. Theories of self-efficacy and planned behaviour were the most used theories. Conclusions This review suggests that theories and models are increasingly being used to promote exclusive breastfeeding. Orienting exclusive breastfeeding programmes within theoretical frameworks is a step in the right direction because theories can sensitize researchers and practitioners to contextually relevant factors and processes appropriate for effective exclusive breastfeeding strategies. Future research should examine the efficacy and effectiveness of theory-informed exclusive breastfeeding programmes over time. Such information is important for designing cost-effective EBF programmes.
Ulva undetermined
Creators: name: Noor, Sadia
name: Begum, Mst. Nadira
name: Rony, Satyajit Roy
name: Uddin, Mohammad Zashim
name: Sohrab, Md. Hossain
name: Mazid, Md. Abdul
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Plantae
Chlorophyta
Ulvophyceae
Ulvales
Ulvaceae
Ulva
Ulva undetermined

description: 2.2 Isolation of endophytic fungi associated with Ulva sp.
 The technique used by Chowdhury et al. (2016) was modified to isolate endophytic fungi from Ulva sp. To remove sand and adhering debris, the seaweed samples were coarsely washed with seawater from the collection site before being transported and processed in the lab within the shortest possible time. The seaweed samples were then subjected to surface sterilization, i.e., immersion of samples in ethanol (EtOH, 70 %), sodium hypochlorite solution (NaOCl, 5 %), and finally in EtOH (70 %) sequentially taking 1–2 min in each solution. To eliminate EtOH residues, all algal samples were then washed three times with sterile water. The selected samples were divided aseptically into small pieces (1–1.5 cm long), which were then put on the culture media supplemented with streptomycin sulphate (100 mg l −1, to suppress bacterial contamination), and then incubated at room temperature in the dark. A few positive controls (media with unsterilized algal samples), a few negative controls (media without any algal samples) and some imprints of sterilized algal samples on the culture media were also incorporated to detect endophytic fungi and to test the effectiveness of the surface sterilization process. The culture medium was prepared by dissolving agar (16 g l −1) in artificial seawater (Nagano et al. 2009; Robinson 1954) and autoclaving at 121 ° C for 15 min. The hyphal tips that developed on the initial cultures were transferred to potato dextrose agar (PDA). Pure cultures of the isolated endophytic fungi were then obtained by serial dilution or streaking methods (Fergus 1964).
description: Published as part of Noor, Sadia, Begum, Mst. Nadira, Rony, Satyajit Roy, Uddin, Mohammad Zashim, Sohrab, Md. Hossain & Mazid, Md. Abdul, 2024, Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh, pp. 115-129 in Botanica Marina (Warsaw, Poland) (Warsaw, Poland) 67 (2) on page 116, DOI: 10.1515/bot-2023-0040, http://zenodo.org/record/11360388
Study of irregular roughness in minimal channels
Creators: name: Yang, Jiasheng
name: Stroh, Alexander
name: Jakirlic, Suad
name: Frohnapfel, Bettina
name: Forooghi, Pourya
Publisher: name: Karlsruher Institut für Technologie (KIT)
Year: 2021
Subjects: Minimal channel
irregular roughness
DNS
heat transfer

description: Direct numerical simulation (DNS) is carried out to study turbulent flow over irregular rough surfaces in periodic minimal channels. A passive scalar transport equation is solved to study heat transfer over rough surfaces with the Prandtl number $Pr$= 0.7. The generation of irregular roughness is based on a mathematical randomization algorithm, in which the power spectrum (PS) of the roughness height function along with its probability density function (PDF) can be directly prescribed. The hydrodynamic and thermal properties of the roughness, particularly the roughness function ($\Delta U^+$) as well as the temperature profile offset ($\Delta \Theta^+$), are compared with those obtained from a full span DNS for 6 types of roughness topographies with systematically varied PDF and PS configurations at Re$\tau \approx$ 500. The comparison confirms the ability of the minimal channel approach to perform characterization of irregular rough surfaces providing excellent agreement (within 5$\%$) in $\Delta U^+$ and $\Delta \Theta^+$ across various types of roughness topographies. Results also indicate that random realizations of roughness, with a fixed PS and PDF, translate to similar prediction with a narrow scatter. Finally , the impact of systematically varied roughness PDF and PS to both velocity and temperature profile is shown. It is also demonstrated that the influence of varying PDF and PS on the velocity and temperature fields is different.
Ulva undetermined
Creators: name: Noor, Sadia
name: Begum, Mst. Nadira
name: Rony, Satyajit Roy
name: Uddin, Mohammad Zashim
name: Sohrab, Md. Hossain
name: Mazid, Md. Abdul
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Plantae
Chlorophyta
Ulvophyceae
Ulvales
Ulvaceae
Ulva
Ulva undetermined

description: 2.3 Identification of endophytic fungi associated with Ulva sp.
 Endophytic fungi were identified taxonomically based on macroscopic and microscopic morphological characterization and molecular identification. The morphological characteristics of each isolate, including the rate of growth, mycelium depth and hyphal orientation, colour, texture, elevation, margin, diameter and form of the colony, as well as spore view, were observed after 3, 6, 9 and 12 days. For molecular identification of fungi, genomic DNA was extracted and the entire Internal Transcribed Spacer region (ITS 1, 5.8S, ITS 2) was amplified and sequenced (Martin and Rygiewicz 2005). At first, a colony from 4 to 7 days of pure culture of each fungus was selected, scratched with a sterile surgical blade and ground to make powder with liquid nitrogen using a pestle and mortar.Then,DNA was isolated using the Maxwell ® 16 LEV Plant DNA Kit (AS 1420, Promega, USA) (Cappuccino and Sherman 1996). DNase-free RNase (30 min at 37 ° C) was used to remove RNA contamination from the isolated DNA, and this was then stored at −20 ° C for further analysis. Then, the ITS region from the isolated DNA was amplified by PCR (Raja et al. 2017), followed by nucleotide sequencing of the amplicons by the Sanger dideoxy sequencing method.
Raw sequence data was processed using BioEdit 7.2 and then compared to those available in the rRNA/ ITS database of the National Center for Biotechnology Information (NCBI) GenBank. The nucleotide sequence of each isolate of the present study was tested for its relatedness with similar sequences using the Basic Local Alignment Search Tool (BLAST).Based on total score, query cover and percent identity, the selected sequences were grouped into distinct clades by constructing the phylogenetic tree. The phylogenetic tree was constructed using the Maximum Likelihood method and the Tamura-Nei model (Tamura and Nei 1993) conducted in MEGA-X software (Kumar et al. 2018). The support of each node was assessed using a bootstrap technique with 1000 iterations, and the tree was scaled with branch lengths denoting the number of substitutions per site. A subculture of each isolate has been deposited at the BCSIR Laboratories, Dhaka, Bangladesh.
description: Published as part of Noor, Sadia, Begum, Mst. Nadira, Rony, Satyajit Roy, Uddin, Mohammad Zashim, Sohrab, Md. Hossain & Mazid, Md. Abdul, 2024, Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh, pp. 115-129 in Botanica Marina (Warsaw, Poland) (Warsaw, Poland) 67 (2) on page 116, DOI: 10.1515/bot-2023-0040, http://zenodo.org/record/11360388
Enhancing 3D Planetary Atmosphere Simulations with a Surrogate Radiative Transfer Model
Creators: name: Tahseen, Tara P. A.
name: Mendonça, João M.
name: Yip, Kai Hou
name: Waldmann, Ingo P.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: This work introduces an approach to enhancing the computational efficiency of 3D atmospheric simulations by integrating a machine-learned surrogate model into the OASIS global circulation model (GCM). Traditional GCMs, which are based on repeatedly numerically integrating physical equations governing atmospheric processes across a series of time-steps, are time-intensive, leading to compromises in spatial and temporal resolution of simulations. This research improves upon this limitation, enabling higher resolution simulations within practical timeframes. Speeding up 3D simulations holds significant implications in multiple domains. Firstly, it facilitates the integration of 3D models into exoplanet inference pipelines, allowing for robust characterisation of exoplanets from a previously unseen wealth of data anticipated from JWST and post-JWST instruments. Secondly, acceleration of 3D models will enable higher resolution atmospheric simulations of Earth and Solar System planets, enabling more detailed insights into their atmospheric physics and chemistry. Our method replaces the radiative transfer module in OASIS with a recurrent neural network-based model trained on simulation inputs and outputs. Radiative transfer is typically one of the slowest components of a GCM, thus providing the largest scope for overall model speed-up. The surrogate model was trained and tested on the specific test case of the Venusian atmosphere, to benchmark the utility of this approach in the case of non-terrestrial atmospheres. This approach yields promising results, with the surrogate-integrated GCM demonstrating above 99.0% accuracy and 147 factor GPU speed-up of the entire simulation compared to using the matched original GCM under Venus-like conditions.
description: 20 pages, 14 figures
Lower-mass-gap Black Holes in Dense Star Clusters
Creators: name: Ye, Claire S.
name: Kremer, Kyle
name: Ransom, Scott M.
name: Rasio, Frederic A.
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The existence of compact stellar remnants in the mass range $2-5\,M_{\odot}$ has long been debated. This so-called lower mass gap was initially suggested by the lack of low-mass X-ray binary observations with accretors about $2-5\,M_{\odot}$, but it has recently been called into question following newer observations, including a lower-mass-gap candidate with a millisecond pulsar companion in the dense globular cluster NGC 1851. Here we model NGC 1851 with a grid of similar dense star clusters utilizing the state-of-the-art Monte Carlo $N$-body code \texttt{CMC}, and we specifically study the formation of lower-mass-gap black holes. We demonstrate that both massive star evolution and dynamical interactions can contribute to forming lower-mass-gap black holes. In general, the collapse of massive remnants formed through mergers of neutron stars or massive white dwarfs produces the largest number of lower-mass-gap black holes among all formation channels. However, in more massive clusters, supernova core collapse can contribute comparable numbers. Our NGC 1851-like models can reproduce millisecond pulsar -- lower-mass-gap black hole binaries similar to the observed system. Additionally, the lower-mass-gap black holes can also become components of dynamically assembled binaries, and some will be in merging black hole - neutron star systems similar to the recently detected gravitational wave source GW230529. However, the corresponding merger rate is probably $\lesssim 1~{\rm Gpc^{-3}\,yr^{-1}}$.
description: 18 pages, 7 figures, 3 tables. Published at ApJ
Ulva undetermined
Creators: name: Noor, Sadia
name: Begum, Mst. Nadira
name: Rony, Satyajit Roy
name: Uddin, Mohammad Zashim
name: Sohrab, Md. Hossain
name: Mazid, Md. Abdul
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Plantae
Chlorophyta
Ulvophyceae
Ulvales
Ulvaceae
Ulva
Ulva undetermined

description: 2.4 Preparation of fungal crude extracts associated with Ulva sp.
 Each endophytic fungal isolate was cultured and incubated at 28 ± 2 ° C in the dark. The culture medium was prepared by dissolving PDA (39 g l −1) in artificial seawater and autoclaving at 121 ° C for 15 min. After 21–28 days, the media with fungal metabolites were frozen at −20 ° C after observing the highest mycelial growth. When thawed, the aqueous part of the fungal culture was separated from the fungal mycelia by filtration and then extracted with chloroform three times using a separating funnel. The fungal mycelia were soaked with ethyl acetate. The EtOAc extract (organic part) was prepared by filtration after 7 days and subsequent solvent evaporation at 5-day intervals using a rotary evaporator at 40 ° C (Chowdhury et al. 2017; Khan et al. 2016). The dried fungal crude extracts were kept at 4 ° C until further analysis.
description: Published as part of Noor, Sadia, Begum, Mst. Nadira, Rony, Satyajit Roy, Uddin, Mohammad Zashim, Sohrab, Md. Hossain & Mazid, Md. Abdul, 2024, Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh, pp. 115-129 in Botanica Marina (Warsaw, Poland) (Warsaw, Poland) 67 (2) on page 117, DOI: 10.1515/bot-2023-0040, http://zenodo.org/record/11360388
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space
Creators: name: Ramazyan, Tigran
name: Hushchyn, Mikhail
name: Derkach, Denis
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: High Energy Physics - Experiment (hep-ex)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We propose a new uncertainty estimator for gradient-free optimisation of black-box simulators using deep generative surrogate models. Optimisation of these simulators is especially challenging for stochastic simulators and higher dimensions. To address these issues, we utilise a deep generative surrogate approach to model the black box response for the entire parameter space. We then leverage this knowledge to estimate the proposed uncertainty based on the Wasserstein distance - the Wasserstein uncertainty. This approach is employed in a posterior agnostic gradient-free optimisation algorithm that minimises regret over the entire parameter space. A series of tests were conducted to demonstrate that our method is more robust to the shape of both the black box function and the stochastic response of the black box than state-of-the-art methods, such as efficient global optimisation with a deep Gaussian process surrogate.
description: European Conference on Artificial Intelligence 2024 Main Track
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training
Creators: name: Xie, Yu
name: Qiao, Qian
name: Gao, Jun
name: Wu, Tianxiang
name: Fan, Jiaqing
name: Zhang, Yue
name: Zhang, Jielei
name: Sun, Huyang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: More and more end-to-end text spotting methods based on Transformer architecture have demonstrated superior performance. These methods utilize a bipartite graph matching algorithm to perform one-to-one optimal matching between predicted objects and actual objects. However, the instability of bipartite graph matching can lead to inconsistent optimization targets, thereby affecting the training performance of the model. Existing literature applies denoising training to solve the problem of bipartite graph matching instability in object detection tasks. Unfortunately, this denoising training method cannot be directly applied to text spotting tasks, as these tasks need to perform irregular shape detection tasks and more complex text recognition tasks than classification. To address this issue, we propose a novel denoising training method (DNTextSpotter) for arbitrary-shaped text spotting. Specifically, we decompose the queries of the denoising part into noised positional queries and noised content queries. We use the four Bezier control points of the Bezier center curve to generate the noised positional queries. For the noised content queries, considering that the output of the text in a fixed positional order is not conducive to aligning position with content, we employ a masked character sliding method to initialize noised content queries, thereby assisting in the alignment of text content and position. To improve the model's perception of the background, we further utilize an additional loss function for background characters classification in the denoising training part.Although DNTextSpotter is conceptually simple, it outperforms the state-of-the-art methods on four benchmarks (Total-Text, SCUT-CTW1500, ICDAR15, and Inverse-Text), especially yielding an improvement of 11.3% against the best approach in Inverse-Text dataset.
description: Accepted by ACM'MM2024
Numeracy and food education
Creators: name: Leahy, Deana
Publisher: name: Monash University
Year: 2020
Subjects: Education

description: This education resource was developed to highlight what numeracy is with respect to the learning area of HPE. In the resource I highlight and explain the numeracy content and skills required to teach about food labels. The food label sequence is part of a larger unit of work you would develop to help young people develop key health literacies (including numeracies) to understand food.
Ulva undetermined
Creators: name: Noor, Sadia
name: Begum, Mst. Nadira
name: Rony, Satyajit Roy
name: Uddin, Mohammad Zashim
name: Sohrab, Md. Hossain
name: Mazid, Md. Abdul
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Plantae
Chlorophyta
Ulvophyceae
Ulvales
Ulvaceae
Ulva
Ulva undetermined

description: 3.1 Identification of Ulva sp.
 The seaweed was identified as Ulva sp. based on morphological characterization (Kipp et al. 2022; Peasura et al. 2015). The macroscopic characteristics of Ulva sp. revealed a vivid grass-green tubular frond and unbranched thalli throughout.
description: Published as part of Noor, Sadia, Begum, Mst. Nadira, Rony, Satyajit Roy, Uddin, Mohammad Zashim, Sohrab, Md. Hossain & Mazid, Md. Abdul, 2024, Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh, pp. 115-129 in Botanica Marina (Warsaw, Poland) (Warsaw, Poland) 67 (2) on page 117, DOI: 10.1515/bot-2023-0040, http://zenodo.org/record/11360388
Parametric forcing approach for secondary motions formation over inhomogeneous rough surfaces
Creators: name: Stroh, Alexander
name: Schäfer, Kay
name: Frohnapfel, Bettina
name: Forooghi, Pourya
Publisher: name: Karlsruher Institut für Technologie (KIT)
Year: 2021
Subjects: roughness
turbulent flows
secondary motion
parametric forcing

description: A set of direct numerical simulations is used to analyse the application of the so-called parametric forcing approach (PFA), which allows computationally cheaper simulations, instead of high-resolution immersed boundary method (IBM) for modelling of a homogeneous and inhomogeneous rough surface. It is observed that while the PFA delivers excellent agreement for homogeneous case, the agreement between IBM and PFA is rather limited for the inhomogeneous roughness. While secondary motion topology can be successfully reproduced with the PFA approach, the modification of the mean velocity profile and hence integral flow properties cannot be entirely matched between the two approaches. It is shown that the application of homogeneous forcing to an inhomogeneous configuration might lead to deviation of the introduced forcing in the regions where topographical transition occurs so the global drag is altered.
Cross-Calibration and First Vertical ECE Measurement of Electron Energy Distribution in the TCV Tokamak
Creators: name: Biwole, A. Tema
name: Porte, L.
name: Fasoli, A.
name: Figini, L.
name: Decker, J.
name: Hoppe, M.
name: Cazabonne, J.
name: Votta, L.
name: Simonetto, A.
name: Coda, S.
name: Team, TCV
Publisher: name: arXiv
Year: 2024
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: This paper describes the first Vertical Electron Cyclotron Emission (V-ECE) measurement of non-thermal electron distributions in the \textit{Tokamak à Configuration Variable}, TCV. These measurements were conducted in runaway electron scenarios and in the presence of Electron Cyclotron Current Drive. Measured intensities of linearly polarised X- and O-mode radiation from fast electrons allow the analysis of the energy distribution. The measurements were made possible through the creation of an operational regime for the diagnostic that is free of thermal background radiation, in relaxed electron density operations. This operational regime notably enables the cross-calibration of the diagnostic system, relying on thermal plasma measurements and modeling with the ray-tracing code SPECE.
description: Submitted to: Plasma Phys. Control. Fusion
TURNITIN- SETTLEMENT OF TRADITIONAL DELICES AND TRADITIONAL FINE BY THE DAYAK KALIMANTAN INDONESIA TRADITIONAL JUSTICE INSTITUTION
Creators: name: Dr. Suryaningsi, .M.H.
Publisher: name: Zenodo
Year: 2020
Subjects: SETTLEMENT, DELICES, DAYAK TRADITIONAL, JUSTICE INSTITUTION

description: The development of the National Legal System is always carried out as an effort to strengthen the legal system in Indonesia as an implementation of the amendments to the 1945 Constitution Article 1 paragraph 1 that Indonesia is a constitutional state or rechstaat. The efforts taken are (Majelis Permusyawaratan Rakyat & Jenderal, 2012): First, the development of legal substance, both written law, and unwritten law has a mechanism to form a national law that is better suited to the development needs and aspirations of the community. Second, the improvement of the legal structure to be more effective is continued; Third, the involvement of all components of society who have high legal awareness to support the formation of the aspired national legal system. Recognition and respect for customary law by the state is reflected in Article 18 B paragraph (2) and Article 28 I paragraph (3) of the 1945 Constitution of the Republic of Indonesia. This means that customary law is recognized for its existence as long as the customary law is still alive. and by the development of society and the principles of the Unitary State of the Republic of Indonesia. In the field of the criminal justice system, recognition of the existence of customary law is stated in Article 5 paragraph (1) of Law Number 48 of 2009 concerning Judicial Power, namely: "Judges and Constitutional Justices are obliged to explore, follow, and understand legal values and feelings. justice that lives in society " (Rakyat & Jenderal, 2012) . This becomes an entry point for a judge to explore, follow, and understand customary law (laws that live in society) and make it a basis for consideration in examining and deciding cases handled. Therefore, positive law that is good and has high enforceability must comply with the living law. Article 2 paragraph (3) and Article 58 of Law Number 48 of 2009 concerning Judicial Power, mean that the only recognized judiciary is the state court, and no other court is recognized in the national justice system. However, since the enactment of Emergency Law Number 1 the Year 1951 concerning Temporary Measures to Organize Unified Power Structure and Procedures of Civil Courts (Number 9), gradually LN.1951Inheemsche Rechtspraak (Indigenous court / Adat Court) and The Zelfbestuur Rechtspraak (Swapraja Court) was removed, except for the village court (dorpsjustitie)
description: CHAPTER BOOK TURNITIN
Achieving Trustworthy Artificial Intelligence: Multi-Source Trust Transfer in Artificial Intelligence-capable Technology
Creators: name: Renner, Maximilian
name: Lins, Sebastian
name: Söllner, Matthias
name: Thiebes, Scott
name: Sunyaev, Ali
Publisher: name: AIS eLibrary (AISeL)
Year: 2021
Subjects: Trustworthy AI
Trust Transfer
Duality of Trust
AI-capable Technologies
Autonomous Vehicles
AI Convergence

description: Contemporary research focuses on examining trustworthy AI but neglects to consider trust transfer processes, proposing that users’ established trust in a familiar source (e.g., a technology or person) may transfer to a novel target. We argue that such trust transfer processes also occur in the case of novel AI-capable technologies, as they are the result of the convergence of AI with one or more base technologies. We develop a model with a focus on multi-source trust transfer while including the theoretical framework of trustduality (i.e., trust in providers and trust in technologies) to advance our understanding about trust transfer. A survey among 432 participants confirms that users transfer their trust from known technologies and providers (i.e., vehicle and AI technology) to AI-capable technologies and their providers. The study contributes by providing a novel theoretical perspective on establishing trustworthy AI by validating the importance of the duality of trust.