cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Gamow Shell Model description of ${ { }^{ 40 } }$Ca(d,p) transfer reaction
Creators: name: Mercenne, A.
name: Michel, N.
name: Fernández, J. P. Linares
name: Płoszajczak, M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Transfer reactions are essential to determine spectroscopic factors and astrophysical reaction rates. However, their theoretical evaluation is typically effected using standard reaction theory, from which structure degrees of freedom are absent. While reaction cross sections have been implemented in the frame of the no-core shell model with continuum, this model can be applied in practice only to the lightest nuclei. The use of the core + valence nucleon picture is then necessary to include inter-nucleon correlations in reaction cross sections involving medium nuclei. For this, we will use the recently developed coupled-channel Gamow Shell Model (GSM-CC) for direct reactions and extend it to the evaluation of transfer cross sections. As an example, we will study the ${ { }^{ 40 } }$Ca(d,p) transfer reaction with GSM-CC. Experimental data can be successfully reproduced, but at the price of the use of a very phenomenological Hamiltonian.
description: 7 pages, 3 figures
Topology of products similarity network for market forecasting
Creators: name: Fan, Jingfang
name: Cohen, Keren
name: Shekhtman, Louis M.
name: Liu, Sibo
name: Meng, Jun
name: Louzoun, Yoram
name: Havlin, Shlomo
Publisher: name: [Cham] : Springer International Publishing
Year: 2019
Subjects: subject: Economic
subject: Machine learning
subject: Network
subject: Topology
subject: 300

description: The detection and prediction of risk in financial markets is one of the main challenges of economic forecasting, and draws much attention from the scientific community. An even more challenging task is the prediction of the future relative gain of companies. We here develop a novel combination of product text analysis, network theory and topological based machine learning to study the future performance of companies in financial markets. Our network links are based on the similarity of firms’ products and constructed using the Securities Exchange Commission (SEC) filings of US listed firms. We find that several topological features of this network can serve as good precursors of risks or future gain of companies. We then apply machine learning to network attributes vectors for each node to predict successful and failing firms. The resulting accuracies are much better than current state of the art techniques. The framework presented here not only facilitates the prediction of financial markets but also provides insight and demonstrates the power of combining network theory and topology based machine learning.
Additional file 8 of A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Creators: name: Bond, Melissa
name: Khosravi, Hassan
name: De Laat, Maarten
name: Bergdahl, Nina
name: Negrea, Violeta
name: Oxley, Emily
name: Pham, Phuong
name: Chong, Sin Wang
name: Siemens, George
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 8: Appendix H. Geographical distribution by evidence synthesis type.
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation
Creators: name: Liu, Han
name: Wei, Yinwei
name: Yin, Jianhua
name: Nie, Liqiang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: An efficient solution to the large-scale recommender system is to represent users and items as binary hash codes in the Hamming space. Towards this end, existing methods tend to code users by modeling their Hamming similarities with the items they historically interact with, which are termed as the first-order similarities in this work. Despite their efficiency, these methods suffer from the suboptimal representative capacity, since they forgo the correlation established by connecting multiple first-order similarities, i.e., the relation among the indirect instances, which could be defined as the high-order similarity. To tackle this drawback, we propose to model both the first- and the high-order similarities in the Hamming space through the user-item bipartite graph. Therefore, we develop a novel learning to hash framework, namely Hamming Spatial Graph Convolutional Networks (HS-GCN), which explicitly models the Hamming similarity and embeds it into the codes of users and items. Extensive experiments on three public benchmark datasets demonstrate that our proposed model significantly outperforms several state-of-the-art hashing models, and obtains performance comparable with the real-valued recommendation models.
Micromeasure distributions and applications for conformally generated fractals
Creators: name: Fraser, Jonathan M.
name: Pollicott, Mark
Publisher: name: arXiv
Year: 2015
Subjects: subject: Dynamical Systems (math.DS)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: 37C45, 28A80, 28A33, 30F40, 37F50

description: We study the scaling scenery of Gibbs measures for subshifts of finite type on self-conformal fractals and applications to Falconer's distance set problem and dimensions of projections. Our analysis includes hyperbolic Julia sets, limit sets of Schottky groups and graph-directed self-similar sets.
description: 17 pages, 1 figure
The splashback radius of groups and clusters of galaxies at low redshifts
Creators: name: Kopylova, Flera G.
name: Kopylov, Alexander I.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present a study of the distribution of galaxies along the radius of 157 groups and clusters of galaxies (200~km~s$^{-1}$ < $σ$ < 1100~km~s$^{-1}$) of the local Universe (0.01 < $z$ < 0.1). We introduced a new boundary of galaxy systems and identified it with the splashback radius $R_{sp}$. We also identified the central region of galaxy systems with a radius of $R_c$. These radii are defined by the observed integrated distribution of the total number of galaxies depending on the squared distance from the center of the groups/clusters coinciding, as a rule, with the brightest galaxy. We show that the radius $R_{sp}$ is proportional to the $R_{200c}$ (radius of the virialized region of a galaxy cluster) and to the radius of the central region $R_c$ with a slope close to 1. Among the obtained dependences of the radii on X-ray luminosity, the $\log R_{sp}$ - $\log L_X$ relation has the lowest scatter. We measured $$ = $1.67\pm0.05$~Mpc for the total sample, $$ = $1.14\pm0.14$~Mpc for galaxy groups with $σ\leq$ 400~km~s$^{-1}$, $$ = $2.00\pm0.20$~Mpc for galaxy clusters with $σ$ > 400~km~s$^{-1}$. We found the average ratio of the radii $R_{sp}/R_{200c} = 1.40\pm0.02$ or $R_{sp}/R_{200m} = 0.88\pm0.02$.}
description: 7 pages, 3 figures, 1 table
Cold atoms as a coolant for levitated optomechanical systems
Creators: name: Ranjit, Gambhir
name: Montoya, Cris
name: Geraci, Andrew A.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: Optically trapped dielectric objects are well suited for reaching the quantum regime of their center of mass motion in an ultra-high vacuum environment. We show that ground state cooling of an optically trapped nanosphere is achievable when starting at room temperature, by sympathetic cooling of a cold atomic gas optically coupled to the nanoparticle. Unlike cavity cooling in the resolved sideband limit, this system requires only a modest cavity finesse and it allows the cooling to be turned off, permitting subsequent observation of strongly-coupled dynamics between the atoms and sphere. Nanospheres cooled to their quantum ground state could have applications in quantum information science or in precision sensing.
description: 6 pages, 2 figures
Supplementary document for Virtual Hall Sensor Triggered Multi-MHz Endoscopic OCT Imaging for Stable Real-Time Visualization - 6821416.pdf
Creators: name: Singh, Awanish
name: Göb, Madita
name: Ahrens, Martin
name: Eixmann, Tim
name: Schulte, Berenice
name: Schulz-Hildebrandt, Hinnerk
name: Hüttmann, Gereon
name: Ellrichmann, Mark
name: Huber, Robert
name: Rahlves, Maik
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: subject: Aerospace Materials
subject: Optical Technology
subject: Aerospace Structures
subject: Aerospace Engineering not elsewhere classified
subject: Automotive Engineering Materials
subject: Automotive Safety Engineering
subject: Automotive Engineering not elsewhere classified
subject: Biomedical Instrumentation
subject: Medical Devices
subject: Biomedical Engineering not elsewhere classified
subject: Medical Biotechnology Diagnostics (incl. Biosensors)
subject: Public Health and Health Services not elsewhere classified
subject: Medical and Health Sciences not elsewhere classified
subject: Photonics and Electro-Optical Engineering (excl. Communications)
subject: Image Processing
subject: Health, Clinical and Counselling Psychology
subject: Electrical and Electronic Engineering not elsewhere classified
subject: Optical Physics not elsewhere classified
subject: Optical Properties of Materials
subject: Motor Control
subject: Aerospace Engineering
subject: FOS: Mechanical engineering
subject: Mechanical Engineering
subject: Materials Engineering not elsewhere classified
subject: Mechanical Engineering not elsewhere classified

description: Supplement 1
New Opportunities and Untapped Scientific Potential in the Abyssal Ocean
Creators: name: Seewald, J.S.
name: Soule, S.A.
name: Wanless, V.D.
name: Reysenbach, A.-L.
name: Marlow, J.J.
name: Teske, A.P.
name: Shank, T.M.
name: Anderson, R.E.
Publisher: name: Frontiers Media S.A.
Year: 2022

description: The abyssal ocean covers more than half of the Earth’s surface, yet remains understudied and underappreciated. In this Perspectives article, we mark the occasion of the Deep Submergence Vehicle Alvin’s increased depth range (from 4500 to 6500 m) to highlight the scientific potential of the abyssal seafloor. From a geologic perspective, ultra-slow spreading mid-ocean ridges, Petit Spot volcanism, transform faults, and subduction zones put the full life cycle of oceanic crust on display in the abyss, revealing constructive and destructive forces over wide ranges in time and space. Geochemically, the abyssal pressure regime influences the solubility of constituents such as silica and carbonate, and extremely high-temperature fluid-rock reactions in the shallow subsurface lead to distinctive and potentially unique geochemical profiles. Microbial residents range from low-abundance, low-energy communities on the abyssal plains to fast growing thermophiles at hydrothermal vents. Given its spatial extent and position as an intermediate zone between coastal and deep hadal settings, the abyss represents a lynchpin in global-scale processes such as nutrient and energy flux, population structure, and biogeographic diversity. Taken together, the abyssal ocean contributes critical ecosystem services while facing acute and diffuse anthropogenic threats from deep-sea mining, pollution, and climate change.
MalAware: A Tool for Safe Internet Browsing
Creators: name: Chia, Kenneth
name: Lee, Joash
name: Wan, Weilon
name: Chua, Ryan
name: Guo, Huaqun
Publisher: name: Singapore Institute of Technology
Year: 2023
Subjects: classificationCode: 460407
subject: System and network security
classificationCode: 460406
subject: Software and application security

description: In today's digital age, ensuring user security while browsing the web is of paramount importance. However, the convenience and interconnectedness of the internet also expose users to various security risks. The increasing prevalence of phishing attacks, malware downloads, and insecure connections has highlighted the urgent need for effective solutions that prioritize user security during web browsing. In response to this pressing concern, our team has developed MalAware, a powerful web browser extension designed to enhance user security by providing real-time website analysis and proactive threat detection. This research paper introduces MalAware, a web browser extension designed to enhance user security by providing real- time website analysis. Acting as a vigilant guardian against potential threats such as phishing attacks, malware downloads, and insecure connections, MalAware employs sophisticated algorithms and scanning techniques to proactively detect and warn users of any suspicious behaviors or elements encountered during web browsing.
Additional file 9 of A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Creators: name: Bond, Melissa
name: Khosravi, Hassan
name: De Laat, Maarten
name: Bergdahl, Nina
name: Negrea, Violeta
name: Oxley, Emily
name: Pham, Phuong
name: Chong, Sin Wang
name: Siemens, George
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 9: Appendix I. Co-authorship and international research collaboration.
Towards Single Camera Human 3D-Kinematics
Creators: name: Bittner, Marian
name: Yang, Wei-Tse
name: Zhang, Xucong
name: Seth, Ajay
name: van Gemert, Jan
name: van der Helm, Frans C. T.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Markerless estimation of 3D Kinematics has the great potential to clinically diagnose and monitor movement disorders without referrals to expensive motion capture labs; however, current approaches are limited by performing multiple de-coupled steps to estimate the kinematics of a person from videos. Most current techniques work in a multi-step approach by first detecting the pose of the body and then fitting a musculoskeletal model to the data for accurate kinematic estimation. Errors in training data of the pose detection algorithms, model scaling, as well the requirement of multiple cameras limit the use of these techniques in a clinical setting. Our goal is to pave the way toward fast, easily applicable and accurate 3D kinematic estimation \xdeleted{in a clinical setting}. To this end, we propose a novel approach for direct 3D human kinematic estimation D3KE from videos using deep neural networks. Our experiments demonstrate that the proposed end-to-end training is robust and outperforms 2D and 3D markerless motion capture based kinematic estimation pipelines in terms of joint angles error by a large margin (35\% from 5.44 to 3.54 degrees). We show that D3KE is superior to the multi-step approach and can run at video framerate speeds. This technology shows the potential for clinical analysis from mobile devices in the future.
description: Published in the MDPI Sensors special Issue "Sensors and Musculoskeletal Dynamics to Evaluate Human Movement" on December 28, 2022
Large-scale protein level comparison of Deltaproteobacteria reveals cohesive metabolic groups
Creators: name: Langwig, M.V.
name: Seitz, K.W.
name: Rambo, I.M.
name: Dombrowski, N.
name: Baker, B.J.
name: De Anda, V.
name: Teske, A.P.
name: Greening, C.
Publisher: name: Springer Nature
Year: 2022

description: Deltaproteobacteria, now proposed to be the phyla Desulfobacterota, Myxococcota, and SAR324, are ubiquitous in marine environments and play essential roles in global carbon, sulfur, and nutrient cycling. Despite their importance, our understanding of these bacteria is biased towards cultured organisms. Here we address this gap by compiling a genomic catalog of 1 792 genomes, including 402 newly reconstructed and characterized metagenome-assembled genomes (MAGs) from coastal and deep-sea sediments. Phylogenomic analyses reveal that many of these novel MAGs are uncultured representatives of Myxococcota and Desulfobacterota that are understudied. To better characterize Deltaproteobacteria diversity, metabolism, and ecology, we clustered ~1 500 genomes based on the presence/absence patterns of their protein families. Protein content analysis coupled with large-scale metabolic reconstructions separates eight genomic clusters of Deltaproteobacteria with unique metabolic profiles. While these eight clusters largely correspond to phylogeny, there are exceptions where more distantly related organisms appear to have similar ecological roles and closely related organisms have distinct protein content. Our analyses have identified previously unrecognized roles in the cycling of methylamines and denitrification among uncultured Deltaproteobacteria. This new view of Deltaproteobacteria diversity expands our understanding of these dominant bacteria and highlights metabolic abilities across diverse taxa.
Editorial: Archaea in the Environment: Views on Archaeal Distribution, Activity, and Biogeography
Creators: name: Reysenbach, A.-L.
name: Teske, A.
name: Amils, R.
name: Ramírez, G.A.
Publisher: name: Frontiers Media S.A.
Year: 2021

description: On the occasion of the 10-year anniversary of Frontiers in Microbiology, this Research Topic was launched to highlight the linkages between extreme and archaeal microbiology (Teske, 2020). Archaea adapt to the physical and chemical characteristics of their habitat—such as organic matter availability, electron donor redox status, salinity, temperature, and pH—in terms of metabolic activity, community composition, gene expression patterns, and evolutionary diversification (Baker et al., 2020). Here, cultivation- and genome-based studies highlight linkages between archaea and their habitats (Figure 1).
Band edge noise spectroscopy of a magnetic tunnel junction
Creators: name: Aliev, Farkhad G.
name: Cascales, Juan Pedro
name: Hallal, Ali
name: Chshiev, Mairbek
name: Andrieu, Stephane
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We propose a conceptually new way to gather information on the electron bands of buried metal(semiconductor)/insulator interfaces. The bias dependence of low frequency noise in Fe$_{1-x}$V$_{x}$/MgO/Fe (0 $
Microbial Communities Under Distinct Thermal and Geochemical Regimes in Axial and Off-Axis Sediments of Guaymas Basin
Creators: name: Saxton, M.A.
name: Ruff, S.E.
name: Teske, A.
name: Lizarralde, D.
name: Zhuang, G.
name: Joye, S.B.
name: de Beer, D.
name: MacGregor, B.
name: White, D.
name: Soule, S.A.
name: Hoer, D.
name: Chanton, J.P.
name: Wegener, G.
Publisher: name: Frontiers Media S.A.
Year: 2021

description: Cold seeps and hydrothermal vents are seafloor habitats fueled by subsurface energy sources. Both habitat types coexist in Guaymas Basin in the Gulf of California, providing an opportunity to compare microbial communities with distinct physiologies adapted to different thermal regimes. Hydrothermally active sites in the southern Guaymas Basin axial valley, and cold seep sites at Octopus Mound, a carbonate mound with abundant methanotrophic cold seep fauna at the Central Seep location on the northern off-axis flanking regions, show consistent geochemical and microbial differences between hot, temperate, cold seep, and background sites. The changing microbial actors include autotrophic and heterotrophic bacterial and archaeal lineages that catalyze sulfur, nitrogen, and methane cycling, organic matter degradation, and hydrocarbon oxidation. Thermal, biogeochemical, and microbiological characteristics of the sampling locations indicate that sediment thermal regime and seep-derived or hydrothermal energy sources structure the microbial communities at the sediment surface.
DeepSecure: Malicious JavaScript and NPM Package Scanner
Creators: name: Lim, Jun Wei Fabian
name: Chia, Wen Ming Micah
name: Ong, Jun Leng
name: Seow, Wee Fei
name: Wei Qiang Ong
name: Guo, Huaqun
Publisher: name: Singapore Institute of Technology
Year: 2023
Subjects: classificationCode: 460407
subject: System and network security
classificationCode: 460406
subject: Software and application security

description: Malicious JavaScript and NPM packages pose significant security and privacy challenges to web applications and software ecosystems. This paper presents DeepSecure, an integrated tool that combines YARA Scan, VirusTotal API, and an AI model to enhance the detection and analysis of such threats. By integrating static analysis, dynamic analysis, and AI-powered detection, our tool improves accuracy and efficiency in identifying and mitigating security risks.
Competitive allocation of resources on a network: an agent-based model of air companies competing for the best routes
Creators: name: Gurtner, Gérald
name: Valori, Luca
name: Lillo, Fabrizio
Publisher: name: arXiv
Year: 2014
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We present a stylized model of the allocation of resources on a network. By considering as a concrete example the network of sectors of the airspace, where each node is a sector characterized by a maximal number of simultaneously present aircraft, we consider the problem of air companies competing for the allocation of the airspace. Each company is characterized by a cost function, weighting differently punctuality and length of the flight. We consider the model in the presence of pure and mixed populations of types of airline companies and we study how the equilibria depends on the characteristics of the network.
description: 13 pages, 6 pages
Additional file 10 of A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Creators: name: Bond, Melissa
name: Khosravi, Hassan
name: De Laat, Maarten
name: Bergdahl, Nina
name: Negrea, Violeta
name: Oxley, Emily
name: Pham, Phuong
name: Chong, Sin Wang
name: Siemens, George
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 10: Appendix J. Digital evidence synthesis tools (DEST) used in AIHEd secondary research.
Uniform scaling limits for ergodic measures
Creators: name: Fraser, Jonathan M.
name: Pollicott, Mark
Publisher: name: arXiv
Year: 2015
Subjects: subject: Dynamical Systems (math.DS)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 37B10, 28A33, 37A99, 60F05

description: We prove that ergodic measures on one-sided shift spaces are uniformly scaling in the sense of Gavish. That is, given a shift ergodic measure we prove that at almost every point the scenery distributions weakly converge to a common distribution on the space of measures. Moreover, we give an explicit description of the limiting distribution in terms of a `reverse Jacobian' function associated with the corresponding measure on the space of left infinite sequences.
description: 12 pages
Doping control of magnetism and emergent electromagnetic induction in high-temperature helimagnets
Creators: name: Kitaori, Aki
name: White, Jonathan S.
name: Kanazawa, Naoya
name: Ukleev, Victor
name: Singh, Deepak
name: Furukawa, Yuki
name: Arima, Taka-hisa
name: Nagaosa, Naoto
name: Tokura, Yoshinori
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Ac current-driven motions of spiral spin textures can give rise to emergent electric fields acting on conduction electrons. This in turn leads to the emergent electromagnetic induction effect which may realize quantum inductor elements of micrometer size. ${\rm YMn}_{6}{\rm Sn}_{6}$ is a helimagnet with a short helical period (2-3 nm) that shows this type of emergent inductance beyond room temperature. To identify the optimized materials conditions for ${\rm YMn}_{6}{\rm Sn}_{6}$-type room-temperature emergent inductors, we have investigated emergent electromagnetic inductance (EEMI) as the magnetism is modified through systematic partial substitution of Y by Tb. By small angle neutron scattering and inductance measurements, we have revealed that the pinning effect on the spin-helix translational mode by Tb doping selectively and largely suppresses the negative component of EEMI, while sustaining the positive inductance arising from the spin tilting mode. We also find that in addition to the spin helix, even the spin-collinear antiferromagnetic structure can host the positive EEMI due to thermally enhanced spin fluctuations. The present study highlights the facile control of both the magnitude and sign of EEMI beyond room temperature, and thus suggests a route to expand the range of emergent inductor candidate materials.
description: 20 pages, 13 figures
Statistical analysis and modeling of intermittent transport events in the tokamak SOL
Creators: name: Anderson, J.
name: Halpern, F.
name: Xanthopoulos, P.
name: Ricci, P.
name: Furno, I.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: The turbulence observed in the scrape-off-layer of a tokamak is often characterized by intermittent events of bursty nature, a feature which raises concerns about the prediction of heat loads on the physical boundaries of the device. It appears thus necessary to delve into the statistical properties of turbulent physical fields such as density, electrostatic potential and temperature, focusing on the mathematical expression of tails of the probability distribution functions. The method followed here is to generate statistical information from time-traces of the plasma density stemming from Braginskii-type fluid simulations, and check this against a first-principles theoretical model. The analysis of the numerical simulations indicates that the probability distribution function of the intermittent process contains strong exponential tails, as predicted by the analytical theory.
description: 16 pages, 8 figures
OptiTour: Tourist Transit Optimizer
Creators: name: Ling, Choon Keat
name: Kee, Han Xiang
name: Ong, Kevin Jia Ming
name: Rosley, Siti Halilah Binte
name: Ding, Zachary Fang Liang
name: Guo, Huaqun
Publisher: name: Singapore Institute of Technology
Year: 2023
Subjects: classificationCode: 469999
subject: Other information and computing sciences not elsewhere classified

description: The project aims to develop an optimized travel route system for a tourist travel bus service called "Tourist Transit Optimizer" or " OptiTour ". The OptiTour is designed to find the most cost-effective route for transporting tourists from Changi Airport Terminal 3 to their respective hotels in Singapore. The decision to develop this system was driven by the need to minimize operational costs and maximize efficiency in the highly competitive travel and tourism industry. The pre-existing knowledge base for this project includes understanding the local area, knowledge of the main hotels served, and basics of operations management and optimization algorithms.
Low 60Fe abundance in Semarkona and Sahara 99555
Creators: name: Tang, Haolan
name: Dauphas, Nicolas
Publisher: name: arXiv
Year: 2015
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Iron-60 (t1/2=2.62 Myr) is a short-lived nuclide that can help constrain the astrophysical context of solar system formation and date early solar system events. A high abundance of 60Fe (60Fe/56Fe= 4x10-7) was reported by in situ techniques in some chondrules from the LL3.00 Semarkona meteorite, which was taken as evidence that a supernova exploded in the vicinity of the birthplace of the Sun. However, our previous MC-ICPMS measurements of a wide range of meteoritic materials, including chondrules, showed that 60Fe was present in the early solar system at a much lower level (60Fe/56Fe=10-8). The reason for the discrepancy is unknown but only two Semarkona chondrules were measured by MC-ICPMS and these had Fe/Ni ratios below ~2x chondritic. Here, we show that the initial 60Fe/56Fe ratio in Semarkona chondrules with Fe/Ni ratios up to ~24x chondritic is 5.4x10-9. We also establish the initial 60Fe/56Fe ratio at the time of crystallization of the Sahara 99555 angrite, a chronological anchor, to be 1.97x10-9. These results demonstrate that the initial abundance of 60Fe at solar system birth was low, corresponding to an initial 60Fe/56Fe ratio of 1.01x10-8.
description: The Astrophysical Journal, in press. 28 pages, 2 tables, 3 figures
Interactions between temperature and energy supply drive microbial communities in hydrothermal sediment
Creators: name: Bernasconi, S.M.
name: Scholz, F.
name: Glombitza, C.
name: Hensen, C.
name: Geilert, S.
name: Deng, L.
name: Teske, A.
name: Doll, M.
name: Jørgensen, B.B.
name: Frandsen, S.
name: Li, J.
name: Lever, M.A.
name: MacGregor, B.J.
name: Schmidt, M.
name: Fiskal, A.
name: Lagostina, L.
Publisher: name: Nature Research
Year: 2021

description: Temperature and bioavailable energy control the distribution of life on Earth, and interact with each other due to the dependency of biological energy requirements on temperature. Here we analyze how temperature-energy interactions structure sediment microbial communities in two hydrothermally active areas of Guaymas Basin. Sites from one area experience advective input of thermogenically produced electron donors by seepage from deeper layers, whereas sites from the other area are diffusion-dominated and electron donor-depleted. In both locations, Archaea dominate at temperatures >45 °C and Bacteria at temperatures <10 °C. Yet, at the phylum level and below, there are clear differences. Hot seep sites have high proportions of typical hydrothermal vent and hot spring taxa. By contrast, high-temperature sites without seepage harbor mainly novel taxa belonging to phyla that are widespread in cold subseafloor sediment. Our results suggest that in hydrothermal sediments temperature determines domain-level dominance, whereas temperature-energy interactions structure microbial communities at the phylum-level and below.
Additional file 1 of Enhancing self-care education amongst medical students: a systematic scoping review
Creators: name: Wan, Darius Wei Jun
name: Goh, Laura Shih Hui
name: Teo, Mac Yu Kai
name: Loh, Celestine Jia Ling
name: Yak, Gerald Hng Kai
name: Lee, Joanna Jing Hui
name: Ravindran, Nila
name: Abdul Rahman, Nur Diana
name: Chiam, Min
name: Ong, Eng Koon
name: Somasundaram, Nagavalli
name: Lim, Ying Yin
name: Phua, Gillian Li Gek
name: Krishna, Lalit Kumar Radha
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Science Policy
Mental Health

description: Additional file 1.
EWF : simulating exact paths of the Wright--Fisher diffusion
Creators: name: Sant, Jaromir
name: Jenkins, Paul A.
name: Koskela, Jere
name: Spanò, Dario
Publisher: name: arXiv
Year: 2023
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Probability (math.PR)
subject: Quantitative Methods (q-bio.QM)
subject: Applications (stat.AP)
subject: Computation (stat.CO)
subject: FOS: Biological sciences
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 92D25, 60J70, 65C99, 60J60

description: The Wright--Fisher diffusion is important in population genetics in modelling the evolution of allele frequencies over time subject to the influence of biological phenomena such as selection, mutation, and genetic drift. Simulating paths of the process is challenging due to the form of the transition density. We present EWF, a robust and efficient sampler which returns exact draws for the diffusion and diffusion bridge processes, accounting for general models of selection including those with frequency-dependence. Given a configuration of selection, mutation, and endpoints, EWF returns draws at the requested sampling times from the law of the corresponding Wright--Fisher process. Output was validated by comparison to approximations of the transition density via the Kolmogorov--Smirnov test and QQ plots. All software is available at https://github.com/JaroSant/EWF
description: 34 pages, 12 figures
Digital Transformation in Maritime Supply Chains: A Systematic Review of DIS Platforms
Creators: name: Prathiba T S
Publisher: name: Zenodo
Year: 2024

description: Digital transformation plays a key role in improving information sharing and information processing in supply chains. Specifically, maritime supply chains require numerous data and document exchanges and can significantly benefit from digital information sharing (DIS). This notable potential has attracted attention and has resulted in a growing number of studies on blockchain platforms, cloud-based platforms, and other digital technology platforms. However, DIS adoption and execution is a complex process as it depends on various success factors and barriers and affects numerous capabilities and performance outcomes. Moreover, various information systems and management theories can be utilised to underpin these relationships. Our study aims to conduct a systematic literature review that uncovers dynamic capabilities, barriers, enablers and outcomes of DIS with blockchain and cloud-based platforms, illustrates the relationship between them, and discloses methods and theories applied in supply chains. We discuss different use cases of blockchain and cloud-based platforms for DIS in various business functions in supply chains. Particularly, we reveal six DIS-powered capabilities, five performance outcomes improved by the DIS, eight main barriers, and nine enablers of DIS implementation. The lack of theoretical underpinning and causal empirical studies is identified as an important gap in the literature. This study also presents precise future research directions that can help address these gaps
Achieving Universal Electricity Access in Ghana by 2030
Creators: name: Boafo, Reiss Niih
name: Azindow, Caleb
Publisher: name: Zenodo
Year: 2023
Subjects: Electricity access
Ghana
OnSSET
Renewable Energy
Generation capacity

description: This poster contains key findings and policy insights derived from the ONSSET modeling tool, focusing on two scenarios for achieving electricity access in Ghana by 2030. Scenario 1 highlights a decrease in total investments required and emphasizes the need to increase photovoltaic (PV) investments by 25% to enhance renewable energy utilization. Scenario 2 demonstrates a reduction in new connections but a substantial increase in total generation capacity, predominantly driven by other renewable energy sources. The policy insights derived from these scenarios include optimizing PV investments, prioritizing infrastructure development in underserved areas, integrating renewable energy sources into the grid, providing financial support, and investing in capacity building and awareness initiatives. Implementing these policy recommendations can significantly contribute to Ghana's electricity access targets, ensuring sustainable and reliable energy for its growing population while supporting global climate change mitigation efforts.
Superpoissonian shot noise in organic magnetic tunnel junctions
Creators: name: Cascales, Juan Pedro
name: Hong, Jhen-Yong
name: Martinez, Isidoro
name: Lin, Minn-Tsong
name: Szczepanski, Tomasz
name: Dugaev, Vitalii K.
name: Barnas, Jozef
name: Aliev, Farkad G.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Organic molecules have recently revolutionized ways to create new spintronic devices. Despite intense studies, the statistics of tunneling electrons through organic barriers remains unclear. Here we investigate conductance and shot noise in magnetic tunnel junctions with PTCDA barriers a few nm thick. For junctions in the electron tunneling regime, with magnetoresistance ratios between 10 and 40\%, we observe superpoissonian shot noise. The Fano factor exceeds in 1.5-2 times the maximum values reported for magnetic tunnel junctions with inorganic barriers, indicating spin dependent bunching in tunneling. We explain our main findings in terms of a model which includes tunneling through a two level (or multilevel) system, originated from interfacial bonds of the PTCDA molecules. Our results suggest that interfaces play an important role in the control of shot noise when electrons tunnel through organic barriers.
A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks
Creators: name: Zhu, Liwang
name: Zhang, Zhongzhi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Social and Information Networks (cs.SI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Concomitant with the tremendous prevalence of online social media platforms, the interactions among individuals are unprecedentedly enhanced. People are free to interact with acquaintances, express and exchange their own opinions through commenting, liking, retweeting on online social media, leading to resistance, controversy and other important phenomena over controversial social issues, which have been the subject of many recent works. In this paper, we study the problem of minimizing risk of conflict in social networks by modifying the initial opinions of a small number of nodes. We show that the objective function of the combinatorial optimization problem is monotone and supermodular. We then propose a na\"ıve greedy algorithm with a $(1-1/e)$ approximation ratio that solves the problem in cubic time. To overcome the computation challenge for large networks, we further integrate several effective approximation strategies to provide a nearly linear time algorithm with a $(1-1/e-ε)$ approximation ratio for any error parameter $ε>0$. Extensive experiments on various real-world datasets demonstrate both the efficiency and effectiveness of our algorithms. In particular, the fast one scales to large networks with more than two million nodes, and achieves up to $20\times$ speed-up over the state-of-the-art algorithm.
Binte Amran et al., 2021 Engagement in a remote Intervention: Feedback from a text-based intervention to enhance parent-child talk
Creators: name: Styles, Suzy J
name: Eshwaaree C Yogarrajah
name: Binte Amran, Shaza
name: Shamala Sundaray
name: Le, Tuan Anh
name: Woon, Fei Ting
Publisher: name: OSF
Year: 2023
Subjects: Bilingualism
Code mixing
Language Acquisition
Language Development
Language Planning
Language skills
Multilingualism
Singapore
Translanguaging

description: Conference paper presented at SRCD April 7-9 2021 Virtual Biennial Meeting
Control of charge migration in molecules by ultrashort laser pulses
Creators: name: Golubev, Nikolay V.
name: Kuleff, Alexander I.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Due to electronic many-body effects, the ionization of a molecule can trigger ultrafast electron dynamics appearing as a migration of the created hole charge throughout the system. Here we propose a scheme for control of the charge migration dynamics with a single ultrashort laser pulse. We demonstrate by fully ab initio calculations on a molecule containing a chromophore and an amine moieties that simple pulses can be used for stopping the charge-migration oscillations and localizing the charge on the desired site of the system. We argue that this control may be used to predetermine the follow-up nuclear rearrangement and thus the molecular reactivity.
Additional file 2 of Enhancing self-care education amongst medical students: a systematic scoping review
Creators: name: Wan, Darius Wei Jun
name: Goh, Laura Shih Hui
name: Teo, Mac Yu Kai
name: Loh, Celestine Jia Ling
name: Yak, Gerald Hng Kai
name: Lee, Joanna Jing Hui
name: Ravindran, Nila
name: Abdul Rahman, Nur Diana
name: Chiam, Min
name: Ong, Eng Koon
name: Somasundaram, Nagavalli
name: Lim, Ying Yin
name: Phua, Gillian Li Gek
name: Krishna, Lalit Kumar Radha
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Science Policy
Mental Health

description: Additional file 2.
Environmental factors shaping bacterial, archaeal and fungal community structure in hydrothermal sediments of Guaymas Basin, Gulf of California
Creators: name: Wegener, G.
name: Chambers, C.R.
name: Teske, A.P.
name: Joye, S.B.
name: Mara, P.
name: Burgaud, G.
name: Peterson, R.N.
name: Sehein, T.
name: Ramírez, G.A.
name: Edgcomb, V.P.
name: Philippe, A.
Publisher: name: Public Library of Science
Year: 2021

description: The flanking regions of Guaymas Basin, a young marginal rift basin located in the Gulf of California, are covered with thick sediment layers that are hydrothermally altered due to magmatic intrusions. To explore environmental controls on microbial community structure in this complex environment, we analyzed site- and depth-related patterns of microbial community composition (bacteria, archaea, and fungi) in hydrothermally influenced sediments with different thermal conditions, geochemical regimes, and extent of microbial mats. We compared communities in hot hydrothermal sediments (75-100 °C at ~40 cm depth) covered by orange-pigmented Beggiatoaceae mats in the Cathedral Hill area, temperate sediments (25-30°C at ~40 cm depth) covered by yellow sulfur precipitates and filamentous sulfur oxidizers at the Aceto Balsamico location, hot sediments (>115 °C at ~40 cm depth) with orange-pigmented mats surrounded by yellow and white mats at the Marker 14 location, and background, non-hydrothermal sediments (3.8 °C at ~45 cm depth) overlain with ambient seawater. Whereas bacterial and archaeal communities are clearly structured by site-specific in-situ thermal gradients and geochemical conditions, fungal communities are generally structured by sediment depth. Unexpectedly, chytrid sequence biosignatures are ubiquitous in surficial sediments whereas deeper sediments contain diverse yeasts and filamentous fungi. In correlation analyses across different sites and sediment depths, fungal phylotypes correlate to each other to a much greater degree than Bacteria and Archaea do to each other or to fungi, further substantiating that site-specific in-situ thermal gradients and geochemical conditions that control bacteria and archaea do not extend to fungi.
Structuring ontologies in a context of collaborative system modelling
Creators: name: Chaib, Romy Lynn
name: Thomopoulos, Rallou
name: Macombe, Catherine
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Prospective studies require discussing and collaborating with the stakeholders to create scenarios of the possible evolution of the studied value-chain. However, stakeholders don't always use the same words when referring to one idea. Constructing an ontology and homogenizing vocabularies is thus crucial to identify key variables which serve in the construction of the needed scenarios. Nevertheless, it is a very complex and timeconsuming task. In this paper we present the method we used to manually build ontologies adapted to the needs of two complementary system-analysis models (namely the "Godet" and the "MyChoice" models), starting from interviews of the agri-food system's stakeholders.
Yogarrajah et al., 2021. Language plans in mulitlingual Singapore
Creators: name: Eshwaaree C Yogarrajah
name: Salleh, Nur Sakinah Mohd
name: Styles, Suzy J
name: Woon, Fei Ting
name: Shamala Sundaray
Publisher: name: OSF
Year: 2023
Subjects: Bilingualism
Code mixing
Language Acquisition
Language Development
Language Planning
Language skills
Multilingualism
Singapore
Translanguaging

description: Conference paper presented at SRCD April 7-9 2021 Virtual Biennial Meeting
Assessing Climate, land, energy and water interlinkages for policy planning: Case study of Togo
Creators: name: Esso-Wazam Honoré TCHANDAO
Publisher: name: Zenodo
Year: 2023
Subjects: CLEW

description: In this presentation, the Climate, Land, Energy and Water (CLEWs) systems are addressed to investigate the policy perspectives if Togo aims for net zero by 2050. Four scenarios were explored: Business as Usual, Net zero by 2050, Limited land for solar PV and Limited electricity imports. We used the Open Source Energy Modeling System (OSeMOSYS) to study the interlinkages between climate, land, energy and water, focusing on emissions limit, land limit and electricity imports limit. The results show that it may be cost efficient to rely on electricity imports from neighboring countries in the short term. However, it is also important to consider other solutions, particularly from the perspective of energy security. In addition, the "net zero" objective for agriculture in Togo means phasing out diesel-powered mechanization. Decision-makers may need to promote efficient solar pumping for irrigation from now on.
Instability of counter-rotating stellar disks
Creators: name: Hohlfeld, Robert G.
name: Lovelace, Richard V. E.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We use an N-body simulation, constructed using GADGET-2, to investigate an accretion flow onto an astrophysical disk that is in the opposite sense to the disk's rotation. In order to separate dynamics intrinsic to the counter-rotating flow from the impact of the flow onto the disk, we consider an initial condition in which the counter-rotating flow is in an annular region immediately exterior the main portion of the astrophysical disk. Such counter-rotating flows are seen in systems such as NGC 4826 (known as the "Evil Eye Galaxy"). Interaction between the rotating and counter-rotating components is due to two-stream instability in the boundary region. A multi-armed spiral density wave is excited in the astrophysical disk and a density distribution with high azimuthal mode number is excited in the counter-rotating flow. Density fluctuations in the counter-rotating flow aggregate into larger clumps and some of the material in the counter-rotating flow is scattered to large radii. Accretion flow processes such as this are increasingly seen to be of importance in the evolution of multi-component galactic disks.
description: 6 pages, 3 figures