cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A modular bisimulation characterisation for fragments of hybrid logic
Creators: name: Badia, Guillermo
name: Gaina, Daniel
name: Knapp, Alex
name: Kowalski, Tomasz
name: Wirsing, Martin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics

description: There are known characterisations of several fragments of hybrid logic by means of invariance under bisimulations of some kind. The fragments include $\{\store, \jump\}$ with or without nominals (Areces, Blackburn, Marx), $\jump$ with or without nominals (ten Cate), and $\store$ without nominals (Hodkinson, Tahiri). Some pairs of these characterisations, however, are incompatible with one another. For other fragments of hybrid logic no such characterisations were known so far. We prove a generic bisimulation characterisation theorem for all standard fragments of hybrid logic, in particular for the case with $\store$ and nominals, left open by Hodkinson and Tahiri. Our characterisation is built on a common base and for each feature extension adds a specific condition, so it is modular in an engineering sense.
Impacts of Forest Fires on Drinking Water Quality in North America
Creators: name: Chiang, Amity
Publisher: name: The University of British Columbia
Year: 2011

description: The amount of area burned by wildfire has greatly increased due to human and industrial practices. Therefore, it is crucial to identify the hazards and take actions to prevent the frequent occurrence of wildfires. This research essay is focused on the effect of forest fires in North America on drinking water quality. Review of journal articles, government websites, and other electronic sources indicates that concentrations of nitrogen (especially on nitrate and ammonium), which can be toxic and harmful to human health, typically increase following wildfire. Post fire concentrations of nitrogen in streams depend on the amount of soil erosion and runoff. Other parameters that are affected include chemicals in fire retardant, water temperature, and water pH levels. This essay also examines several postfire options to serve as long term preventative measures.
Carbon neutrality: relevant tool or flawed concept?
Creators: name: Spence, Andrew M.
Publisher: name: The University of British Columbia
Year: 2016

description: Climate change has become the defining issue of the twenty-first century. Institutions and organisations are starting to take proactive steps to reduce greenhouse gas emissions in response to growing local concern and inaction at higher levels of government (Willson & Brown 2008). A concept that is gaining significant publicity is that of ‘carbon neutrality’, a process of calculating emissions (or ‘carbon footprint’), reducing those emissions and offsetting residual emissions so that net carbon emissions equal zero. The evolving concept of carbon offset trading has given rise to a whole new industry and associated infrastructure. Proponents of carbon neutrality champion the concept as a valid tool in the alleviation of climate change. Equally there are fierce critics of the concept who believe it to be fatally flawed. By drawing on a thorough review of relevant literature in this report I seek to: present a clear understanding of the concepts of ‘carbon footprint’ and ‘carbon neutrality’ and their purpose in mitigating climate change; describe the recommended process and best practice for achieving carbon neutrality; and consider the arguments for and against carbon neutrality as a valid tool in mitigating climate change.
Bicyclus safitza subsp. safitza
Creators: name: Sáfián, Szabolcs
name: Pyrcz, D Tomasz W.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Nymphalidae
Bicyclus
Bicyclus safitza
Bicyclus safitza safitza (westwood, 1850)

description: Bicyclus safitza safitza (Westwood, 1850)
A widespread, ubiquitous species, which prefers savannah and grassland areas, however, it also penetrates forests, usually during dry season.
Charaxes paphianus subpallida Joicey & Talbot, 1925 Three males were found in fruit-baited canopy traps in 2016.
description: Published as part of Sáfián, Szabolcs & Pyrcz, D Tomasz W., 2020, Further data on the butterfly fauna (Lepidoptera: Papilionoidea) of Mpanga Forest, Uganda, and the role of this forest in biodiversity conservation, pp. 7-14 in Metamorphosis 31 (1) on page 10, DOI: 10.4314/met.v31i1.3, http://zenodo.org/record/15041895
On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform
Creators: name: Fill, Hans-Georg
name: Karagiannis, Dimitris
Publisher: name: Gesellschaft für Informatik e.V. (The German Informatics Society)
Year: 2015

description: In this paper we analyse the conceptualisation of modelling methods. Thereby we understand, how the components of a specific implementation platform support the design of modelling methods. For this purpose we use the ADOxx meta modelling platform and investigate, how four selected functionalities of enterprise information systems for supporting user interaction, process-based optimisation, interfaces to other systems, and complex analyses are realised. We discuss these four functionalities by reverting to excerpts of the visual representation of modelling methods from the areas of requirements engineering, business process management, e-learning, and enterprise architecture management. This permits us to highlight the interdependencies between the modelling language, the modelling procedure, mechanisms and algorithms and the functionalities of the underlying technical platform that have to be taken into account during the conceptualisation.
description: Enterprise Modelling and Information Systems Architectures, Vol 8, No 1 (2013)
Contemporary understanding of zoophilia
Creators: name: Sendler, Damian
name: Lew-Starowicz, Michal
Publisher: name: F1000Research
Year: 2016

description: Many different sexual behaviors occur online, both weird and illicit. The landscape of sexuality is changing in the digital age, including for paraphilias. This study explores online space of paraphilic minorities – zoophiles. Are there communities of zoophiles on the internet? If so, what are the common discussion threads and what motivates sexual interests and behaviors involving animals?
Development of new EEG monitoring head set for neurological emergency
Creators: name: Okudera, Hiroshi
name: Sakamoto Mie
name: Wakasugi, Masahiro
name: Takahashi, Megumi
Publisher: name: F1000Research
Year: 2016

description: BACKGROUND

In Japan, the first step of neurocritical care in hospital is mainly provided by resuscitation team consisting of emergency physicians, neurologists and neurosurgeons. Japan Resuscitation Council (JRC) described an independent chapter termed "neuroressuscitation"(NR) in the first and original ressuscitation guideline 2010. NR referes to cerebrovascular diseases, acute encephalopathies, Infection of the central nervous system, acute neuromuscular diseases, neuroleptic malignant syndrome, heat emergencies, persistent consciousness disturbance and brain death. Among of them, non convulsive status epilepticus(NCSE) is difficult to identify in ER. Thus the treatment for NCSE tends to be late. To minimize the secondary brain injury, Emergency physicians should diagnose NCSE in early stage. To identify the patient of NCSE, simple and easy monitoring with electroencephalography (EEG) in ER should be required.

CONCLUSION

We developed a new digital EEG monitoring system with portable and wireless head set. The new EEG head set consists of eight electrodes with newly developed attachment electrode.
Sensitivity Analysis of UBCDFLOW and Debris Flow Travel Distance in Mountainous Forested Terrain around the Kootenay, British Columbia Region
Creators: name: Kurylo, John Bohdan
Publisher: name: The University of British Columbia
Year: 2010

description: Two current approaches for the analysis of debris flows exist; semiempirical and empirical approaches. Fannin and Wise (2001) have proposed and developed an empirical–statistical model for predicting debris flow travel distance. This empiricalstatistical model is known as UBCDFLOW. Application of the UBCDFLOW model was completed for five sites within British Columbia. Forensically informed UBCDFLOW simulations, where the governing mode of flow in a reach was know beforehand, were compared against path informed simulations, where the benefits of knowing the mode of flow were not realized. It was observed that, due to the variances in entrainment and deposition widths, minor fluctuations in cumulative volume resulted. However, no significant variance in travel distance was observed. It was found that UBCDFLOW cumulative flow and travel distance was insensitive to variations in initial volume. Further, it was confirmed that the flow volumes generated by UBCDFLOW are moderately sensitive to a change in the event width while the predicted travel distance appears insensitive.
ViriCan's Directives and Procedures for Good Practices in Science
Creators: name: De Oliveira, Deilson Elgui
Publisher: name: OSF
Year: 2022

description: This project embodies ViriCan's commitment to fostering scientific transparency and rigorous research practices. It comprises this Open Science Framework (OSF) repository, a dedicated knowledge base designated "IEC" (https://iec.virican.net), and a collaborative wiki platform (https://wiki.virican.net) designed to facilitate the dissemination of guidelines and protocols pertinent to the group's research endeavors.
Axiocerses harpax subsp. ugandana Clench 1963
Creators: name: Sáfián, Szabolcs
name: Pyrcz, D Tomasz W.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Lycaenidae
Axiocerses
Axiocerses harpax
Axiocerses harpax ugandana clench, 1963

description: Axiocerses harpax ugandana Clench, 1963
A. harpax is an inhabitant of open areas, including wetter types of savannah but also disturbed habitat and farmland in rainforest areas (Larsen, 1991, 2005). The eastern population ssp. ugandana is distributed from the Central African Republic to Western Kenya (Kakamega Forest) (www.abdb-africa.org), its presence along the forest edges in Mpanga is therefore not surprising. A few specimens were recorded during the most recent visit.
description: Published as part of Sáfián, Szabolcs & Pyrcz, D Tomasz W., 2020, Further data on the butterfly fauna (Lepidoptera: Papilionoidea) of Mpanga Forest, Uganda, and the role of this forest in biodiversity conservation, pp. 7-14 in Metamorphosis 31 (1) on page 11, DOI: 10.4314/met.v31i1.3, http://zenodo.org/record/15041895
Modeling C. elegans Neural Systems via the Universal Model Framework (UMF)
Creators: name: Gericke, Marco
Publisher: name: Zenodo
Year: 2025
Subjects: Universal Model Framework
UMF
Caenorhabditis elegans
Fractal neuroscience
Prime numbers in biology
Neural connectome
Emergent dynamics
FPGA neural emulation
Symmetry-regularized learning
Quantum neural modeling
Computational neurobiology
c302 simulation
SI-Elegans
Bio-inspired AI
Fractal dimension analysis
Prime-modulated systems

description: We explore how the Universal Model Framework (UMF) can enrich our understanding of the 302-neuron connectome in Caenorhabditis elegans. Through fractal architectures, symmetry-regularizedlearning, and prime-modulated dynamics, we propose that neural information processing may be governed by self-similar, prime-based constraints. Using fractal dimension analysis, symmetry constraints,and quantum spin transitions, we illustrate how core features of the worm’s nervous system—especiallylocomotion and sensory responses—could be captured by emergent fractal principles. We highlight howan FPGA-based neural emulator (SI-Elegans) and conductance simulations (c302) can be integratedwith UMF-inspired fractal and prime-dynamic models, potentially leading to new ways of understanding—and engineering—biological intelligence.

 

This project was developed by Marco Gericke, with structured assistance from a large language model. All scientific concepts and conclusions were generated, verified, and interpreted by the author.

Dedicated to Peter Plichta, who envisioned the code before it could be computed.
THE IMPACT OF STUDY ABROAD PROGRAMS ON LANGUAGE ACQUISITION
Creators: name: Abdullaeva, Gulnora
name: Sadullaeva, Muhabbat
Publisher: name: Zenodo
Year: 2024

description: This article examines the have an effect on of study overseas programs on language acquisition, highlighting how immersive experiences in a foreign united states can appreciably decorate linguistic proficiency, cultural understanding, motivation, and cognitive development. Through a comprehensive evaluation of present literature and lookup findings, the article underscores the transformative practicable of find out about overseas applications for language learners. The dialogue emphasizes the significance of these packages in fostering advantageous and significant language acquisition.
Transverse parabolic structures and transverse BGG sequences
Creators: name: Cren, Clément
Publisher: name: arXiv
Year: 2023
Subjects: subject: Analysis of PDEs (math.AP)
subject: Differential Geometry (math.DG)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 58H05, 58A10 (Primary) 58A14, 58A30, 58J22 (Secondary)

description: Manifolds endowed with a parabolic geometry in the sense of Cartan come with natural sequences of differential operators and their analysis provide the so called (curved) BGG sequence of {\v C}ap, Slov{á}k and Sou{\v c}ek. The sequences involved do not form an elliptic complex in the sense of Atiyah but enjoy similar properties. The proper framework to study these operators is the filtered calculus associated to the natural filtration of the tangent bundle induced by the parabolic geometry. Such analysis was carried over by Dave and Haller in a very general setting. In this article we use their methods associated with the transversal index theory for filtered manifolds developped by the author in a previous paper to derive curved BGG sequences for foliated manifolds with transverse parabolic geometry.
description: Updated version closer to the published one. Among some corrections, I added new sections with some details on groupoids, the holonomy groupoid of a foliation and operators in the filtered calculus. To appear in Journal of Lie Theory
title: Quantifying the Role of Karst Groundwater on Mountain River Discharge
Creators: name: Hill, Devon
Publisher: name: Utah State University
Year: 2024

description: A primary objective of hydrological research is to anticipate the shifts in water supply due to climate change. These shifts are difficult to predict in karst areas like Logan Canyon because much of the water moves through large fractures and cave networks that transport groundwater quickly, but there are some groundwater fractions which move very slowly. Many studies in karst regions use spring dynamics to assess aquifer condition, but overlook other influences such as exchanges between a river and the underlying aquifer. In this study, we calculated the quantity and chemical makeup of these groundwater and surface water exchanges by measuring the flow and chemistry of all surface inputs (tributaries and springs) and losses (diversions) from the river. Based on this sampling and calculations that track all the ins and outs that occur over small river segments, groundwater exchanges were found to vary significantly throughout the river system. In some cases, groundwater inflows occurred in one segment and adjacent segments showed significant losses to the aquifer. Using the calculated chemistry of groundwater inflows to the river, we determined they are mostly comparable to springs sourced from fast-transporting karst networks. These findings suggest water supply in karst regions may be less resilient to extended periods of drought and multiple years of low snowpack relative to other groundwater aquifers because river discharge is mainly sourced from fracture and cave networks which drain quickly.
Correlated spectro-polarimetric study along the Z track in XTE J1701-462 puts constraints on its coronal geometry
Creators: name: Yu, Wei
name: Bu, Qingcui
name: Doroshenko, Victor
name: Ducci, Lorenzo
name: Ji, Long
name: Zhang, Wenda
name: Santangelo, Andrea
name: Zhang, Shuangnan
name: Waghmare, Anand
name: Ge, Mingyu
name: Huang, Yue
name: Liu, Hexin
name: Tao, Lian
name: Yang, Zixu
name: Zhang, Liang
name: Qu, Jinlu
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Context. In September 2022, the transient neutron star low-mass X-ray binary XTE J1701-462 went into a new outburst. Aims. The objective of this work is to examine the evolution of the accretion geometry of XTE J1701-462 by studying the spectro-polarimetric properties along the Z track of this source. The simultaneous observations archived by the Insight-Hard X-ray Modulation Telescope (HXMT) and the Imaging X-ray Polarimetry Explorer (IXPE) give us the opportunity. Methods. We present a comprehensive X-ray spectro-polarimetric analysis of XTE J1701-462, using simultaneous observations from IXPE, Insight-HXMT and NuSTAR. For IXPE observations, two methods are employed to measure the polarization: a model-independent measurement with PCUBE and a model-dependent polarization-spectral analysis with XSPEC. The corresponding spectra from Insight-HXMT and NuSTAR are studied with two configurations that correspond to a slab-like corona and a spherical shell-like corona, respectively. Results. Significant polarization characteristics are detected in XTE J1701-462. The polarization degree shows a decreasing trend along the Z track, reducing from (4.84 $\pm$ 0.37)% to (3.76 $\pm$ 0.43)% on the horizontal branch and jumping to less than 1% on the normal branch. The simultaneous spectral analysis from Insight-HXMT and NuSTAR suggests that the evolution of the PD is closely linked to changes in the flux of the Comptonized component and its covering factor along the Z track, supporting a shrinking corona.
Mid-infrared evidence for iron-rich dust in the multi-ringed inner disk of HD 144432
Creators: name: Varga, J.
name: Waters, L. B. F. M.
name: Hogerheijde, M.
name: van Boekel, R.
name: Matter, A.
name: Lopez, B.
name: Perraut, K.
name: Chen, L.
name: Nadella, D.
name: Wolf, S.
name: Dominik, C.
name: Kóspál, Á.
name: Ábrahám, P.
name: Augereau, J. -C.
name: Boley, P.
name: Bourdarot, G.
name: Garatti, A. Caratti o
name: de Miera, F. Cruz-Sáenz
name: Danchi, W. C.
name: Rosas, V. Gámez
name: Henning, Th.
name: Hofmann, K. -H.
name: Houllé, M.
name: Isbell, J. W.
name: Jaffe, W.
name: Juhász, T.
name: Kecskeméthy, V.
name: Kobus, J.
name: Kokoulina, E.
name: Labadie, L.
name: Lykou, F.
name: Millour, F.
name: Moór, A.
name: Morujão, N.
name: Pantin, E.
name: Schertl, D.
name: Scheuck, M.
name: van Haastere, L.
name: Weigelt, G.
name: Woillez, J.
name: Woitke, P.
name: MATISSE
name: Collaborations, GRAVITY
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Context. Rocky planets form by the concentration of solid particles in the inner few au regions of planet-forming disks. Their chemical composition reflects the materials in the disk available in the solid phase at the time the planets were forming. Aims. We aim to constrain the structure and dust composition of the inner disk of the young star HD 144432, using an extensive set of infrared interferometric data taken by the Very Large Telescope Interferometer (VLTI), combining PIONIER, GRAVITY, and MATISSE observations. Methods. We introduced a new physical disk model, TGMdust, to image the interferometric data, and to fit the disk structure and dust composition. We also performed equilibrium condensation calculations with GGchem. Results. Our best-fit model has three disk zones with ring-like structures at 0.15, 1.3, and 4.1 au. Assuming that the dark regions in the disk at ~0.9 au and at ~3 au are gaps opened by planets, we estimate the masses of the putative gap-opening planets to be around a Jupiter mass. We find evidence for an optically thin emission ($τ<0.4$) from the inner two disk zones ($r<4$ au) at $λ>3\ μ$m. Our silicate compositional fits confirm radial mineralogy gradients. To identify the dust component responsible for the infrared continuum emission, we explore two cases for the dust composition, one with a silicate+iron mixture and the other with a silicate+carbon one. We find that the iron-rich model provides a better fit to the spectral energy distribution. Conclusions. We propose that in the warm inner regions ($r<5$ au) of typical planet-forming disks, most if not all carbon is in the gas phase, while iron and iron sulfide grains are major constituents of the solid mixture along with forsterite and enstatite. Our analysis demonstrates the need for detailed studies of the dust in inner disks with new mid-infrared instruments such as MATISSE and JWST/MIRI.
description: 29 pages, 24 figures. Equation 4 has been corrected, as there was a sign error in the original version
Effects of stimulus category and task difficulty on the temporal window of crowding
Creators: name: Nilsu Atilgan
name: He, Sheng
Publisher: name: F1000Research
Year: 2016

description: A peripheral target is more difficult to identify when it is surrounded by flankers. This effect of crowding has been extensively investigated in spatial and temporal domains, with the majority of studies focused on the spatial properties of targets and flankers and their spatial relationships. The current study aims to uncover the effect of task difficulty and stimulus category on the temporal interactions between the target and flankers. Specifically, we examined whether orientation identification of Gabor patches and letters among flankers had different temporal windows. Targets were either Gabor patches (two orientations in easy condition and four orientations in difficult condition) or letters (letter-T in easy condition and letter-G in difficult condition), and they were presented in the right or left peripheral area with the target centered at 8˚ from fixation surrounded by four flankers.  The flankers were presented at 7 different SOAs relative to the target presentation (-150, -100, -50, 0, 50, 100, 150 ms). Results from five subjects show that, consistent with the literature, crowding effect was the strongest when the target and flankers were presented simultaneously (SOA=0), and there was an asymmetry between flankers presented before (SOA < 0) and after (SOA > 0) the target. When the target was followed by flankers the performance was worse than when the flankers were followed by the target. However, our current data do not show a category nor a task difficulty level dependence, in that the temporal windows of target-flanker interaction are similar for the four types of stimuli used in this study. Our next step is to examine the temporal window of target-flanker interaction using more complex stimuli such as objects or faces.
Supplementary document for Augmented light field tomography through parallel spectral encoding - 6122942.pdf
Creators: name: Wang, Zhaoqiang
name: Hsiai, Tzung
name: Gao, Liang
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Photonics, Optoelectronics and Optical Communications
Biomedical Instrumentation
Engineering Instrumentation

description: Supplementary documents
The Classification and Analysis of 300 Cycling Crashes that Resulted in Visits to Hospital Emergency Departments in Toronto and Vancouver
Creators: name: Frendo, Theresa
Publisher: name: The University of British Columbia
Year: 2010

description: Although many benefits of cycling exist, the injuries often deter people from this sustainable mode of transportation. As part of the Bicyclists’ Injuries and Cycling Environment study, interviews were conducted with 300 injured cyclists who visited the emergency department of one of 5 hospitals in Toronto or Vancouver. This paper classifies the crashes based on their circumstances and analyzes selected characteristics with a particular interest in city and demographic comparisons. Crashes were broadly classified as collisions (72%) or falls (28%) and as involving motor-vehicles (48.3%) or not. Injured cyclists in Toronto more frequently collided with streetcar tracks (Odds Ratio: 21.0) or vehicle doors (OR: 3.96), and less frequently collided with pedestrians or animals (OR: 0.29) than those in Vancouver. In a multiple logistic regression model comparing the odds of a crash being a collision versus a fall, collisions were more common in Toronto (OR: 3.50) than Vancouver, on trips to work or school (OR: 4.66) than trips for other purposes, and for injured females (OR: 1.69) than injured males. In a second model, motor-vehicle involvement was found to be more common among injured cyclists less than 30 years old (OR: 2.00) than those who were older, and on trips to work or school (OR: 2.89) than for other purposes. The use of drugs or alcohol was not significantly related to the crash circumstances. Variations in crash circumstances between cities suggest that modification of infrastructure could improve safety and increase the number of cyclists.
Chinese Otaku Culture: Between Fandom, Market, and the State
Creators: name: Liao, Chengxi
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 470202
subject: Asian cultural studies

description: Otaku culture entails an obsession with Japanese cultural products such as anime, manga, and video games. The arrival of otaku culture in China has led to the emergence of a distinct, national and cultural fan community. While Japanese in origin, otaku fandom – in its Chinese manifestation – has become embedded in intricate social contexts and shaped in distinctive ways by domestic actors including the Chinese government, national media and cultural industries, as well as by the Japanese otaku industry. Currently, scholars who study Chinese otaku fandom tend to focus on topics like fans’ cultural and aesthetic preferences, their consumption behaviour, and the relation between the fandom and China’s digital economy. The power struggles behind everyday fandom practices, which involve negotiation and conflict between fans and different political and commercial forces inside and outside Chinese society, have not been fully explored.

To address this gap, this thesis uses qualitative research with the fan community and with fan-produced and commercial media texts to examine the complexities of Chinese otaku culture. In particular, I interrogate the interrelationships between Chinese otaku fandom, state, and industry actors. Through online interviews and participant diary entries, I engage with otaku fans in China who are familiar both with otaku cultural products and Chinese otaku fan communities. These fans’ thoughts, expressions and behaviour are combined with case studies of key media texts (such as popular Japanese animation series, short videos, and live streaming events) to provide an in-depth understanding of the ecosystem of Chinese otaku fandom and its interplay with intricate Chinese social contexts.

Examining the complex power dynamics that shape the landscape of this local fan culture, the thesis explores the specificities of media fandom in non-Western societies while contributing to larger debates in global fan studies. I argue that Chinese otaku
fandom is significantly affected by dominant political and commercial powers. Commercial and state influence over Chinese otaku culture and its fandom has not only radically changed the face of otaku cultural products in China, but has also contributed to divisions and imbalanced power distribution between different fan groups. In this way, the thesis responds to the call in contemporary fan studies to pay more attention to the diverse fandoms that lie beyond the traditional Anglo-European perspectives in fan studies.
Evaluating and selecting strategic alliance suppliers in reverse logistics using the ANP-TOPSIS hybrid method in a rough uncertainty environment
Creators: name: Hesami, Farshid
Publisher: name: Zenodo
Year: 2024

description: In recent years, the evolving domain of reverse logistics (RL) has garnered substantial attention for its role in facilitating companies to recognize potential resources while addressing the operational and strategic challenges associated with return processes. This research foregrounds the criticality of environmental sustainability and the optimization of these return processes within the supply chain, highlighting the significance of effective RL practices. It introduces an innovative methodology for evaluating and selecting strategic alliance suppliers in the RL domain, employing the ANP-TOPSIS hybrid method within a rough uncertainty environment. This approach is instrumental in navigating the complexities and inherent uncertainties of supplier selection, thus enhancing the efficiency and sustainability of RL operations.

 

By synthesizing the Analytic Network Process (ANP) to ascertain the relative importance of selection criteria, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for ranking the suppliers—integrated within a rough set theory framework—the methodology adeptly addresses the multifaceted and interconnected criteria essential for strategic alliance supplier selection in RL. This includes considering both quantitative and qualitative data under uncertain conditions, thereby enabling the management of returned goods as a crucial segment in supply chain management.

 

The application of this method in the context of electronic waste recycling companies illustrates its dynamic capabilities in making informed decisions for supplier selection, demonstrating robustness and the potential to guide RL practitioners in developing sustainable, efficient, and resilient supply chain strategies. Moreover, establishing strategic alliances can streamline the return process, bring specialized expertise, ensure flexibility in dynamic markets, and contribute to cost savings, enhanced sustainability, improved risk management, and higher customer satisfaction levels.

This study not only enriches the reverse logistics literature by providing a structured and systematic approach to supplier selection, accommodating uncertainty, and complex interdependencies among criteria but also offers practical insights for industry professionals. It advances the academic understanding of RL supplier selection and underscores the multifaceted nature of RL and its potential to drive efficiency, sustainability, and cost-effectiveness across various industrial sectors.
title: The Gambia's Training Manual on Multi-Grade Teaching
Creators: name: (:Unkn) Unknown
Publisher: name: University of Massachusetts Amherst
Year: 2008
Subjects: subject: International and Comparative Education

description: The development of this manual was supported through a contract from the World Bank-administered Bank-Netherlands Partnership Program (BNPP). World Bank Contract # 7145279. This manual is the result of a collaborative ongoing effort between Gambian educators and the Learning Initiatives for Rural Education (LIRE) team both in The Gambia and at the Center for International Education (CIE), University of Massachusetts, Amherst (UMass). LIRE was funded by An accolade of gratitude goes out to the following writers/members of the technical committee and persons who made useful contributions to this manual who helped bring it to a final stage.
description: This training guide—and its companion; The Gambia’s Handbook on Multi-Grade Teaching—went through a process of development that was uniquely participatory and highly interactive. It was developed under the leadership of project LIRE and the Technical Working Group in The Gambia (TWG). This manual was further enriched with inputs and contributions from education officials and teachers involved in the LIRE multi-grade program. TWG members were drawn from key stakeholders from within and outside the Ministry of Education. Members are seasoned curriculum developers and planners with years of experience in curriculum and materials development.
The urban heat island : causes and effects
Creators: name: Cancino, Karen
Publisher: name: The University of British Columbia
Year: 2016

description: The Urban Heat Island Effect has become one of the world’s leading urban environmental issues of this century. Urbanization has increased concerns about the UHIE, especially in terms of human health and a healthy functioning urban environment. The UHIE results in significant and sometimes dramatic increase in air temperature change between the urban environment and its surrounding areas. The most dramatic change to be seen is the alteration of the landscape, causing multiple interactions with people, different surface materials, atmospheric anomalies and the urban ecology. Mostly important is the heat island structure which extends from the ground to certain levels above ground, and the atmospheric interactions which in turn causes different thermal projections throughout the city. Thus the heat island effect is a contributing factor to a larger list of health problems which will only increase with the explosive growth of the population and the increasing impact of climate change. The only viable solution to this alteration of our environment is to implement better urban planning and for the ultimate expansion of green spaces that are made possible through new materials, technology and urban forestry. Urban forestry has come from being valued for its aesthetic quality, to being valued as an essential urban ecosystem. There is much more to our natural green spaces than imagined: they ameliorate our environment by giving us many resources that we need in any city. Maintaining urban forests and addressing changes to urban planning will become valuable steps in mitigating the UHIE problems for future generations; making natural environments a valuable component of any urban city should be a priority for the sustainability and future developments in an urban environment.
Can Artificial Neural Networks help to understand X-ray spectra?
Creators: name: Manduchi, Laura
Publisher: name: Zenodo
Year: 2022
Subjects: deep learning
x-ray spectra

description: X-ray spectra are usually analyzed by fitting the data to a known physical emission model. This is usually done manually with the help of spectral-fitting programs such as XSPEC, which aim to find the global minimum of a known function in a multi-dimensional parameter space using the method of grid-search. Such methods turn inefficient for an increasing number of spectra. On the other hand, machine learning models have recently achieved tremendous success with remarkable predictive capabilities. They may present an alternative solution to analyze X-ray spectra that could overcome the limits of the existing techniques. In this work, we propose Deep Spectra, a neural network composed of a Fully Convolutional Autoencoder, to denoise and disentangle the X-ray source to different components, and Convolutional Neural Networks to predict the parameters of each spectra component. We train the network using a dataset of simulated spectra from the Active Galactive Nuclei using XSPEC. The proposed approach shows a neat increase in performance on simulated data compared to standard spectra fitting routines. We aim to extend the proposed approach to real-world data from the XMM-Newton Catalogue. However, several challenges need to be addressed and they represent interesting future research directions.
Towards resolving the Galactic center GeV excess with millisecond-pulsar-like sources using machine learning
Creators: name: Malyshev, Dmitry V.
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Excess of gamma rays around the Galactic center (GC) observed in the Fermi Large Area Telescope (LAT) data is one of the most intriguing features in the gamma-ray sky. The spherical morphology and the spectral energy distribution with a peak around a few GeV are consistent with emission from annihilation of dark matter particles. Other possible explanations include a distribution of millisecond pulsars (MSPs). One of the caveats of the MSP hypothesis is the relatively small number of associated MSPs near the GC. In this paper, we perform a multiclass classification of Fermi-LAT sources using machine learning and determine the contribution from unassociated MSP-like sources near the GC. The spectral energy distribution, spatial morphology, and the source count distribution are consistent with expectations for a population of MSPs that can explain the gamma-ray excess. Possible caveats of the contribution from the unassociated MSP-like sources are discussed.
description: 14 pages, 13 figures, 4 tables, v2: references and discussions added, v3: published version, probabilistic classification of sources is available online at https://zenodo.org/doi/10.5281/zenodo.10458463
Delineation of Groundwater Capture Zone for the Grum Pit, Faro Mine Complex, Yukon Territory
Creators: name: Yungyoo, Thiyapa
Publisher: name: The University of British Columbia
Year: 2010

description: The groundwater flow system of the Grum waste rock dump was modeled using Visual MODFLOW. By modeling groundwater flow and conducting particle tracking of in the vicinity of the pit area, the Grum pit’s capture zone was delineated. Through desktop studies of previous technical reports conducted on the study area, boundary conditions and parameters were established and incorporated into the numerical model. The model was then calibrated through a number of simulated cases of different hydraulic conductivity distribution conditions. Sensitivity analyses were conducted to investigate the governing factors that may influence the capture zone geometry. The analyses conducted showed that the capture zone encompasses an area of approximately 14 km2, and extends throughout the depth of the pit, where no deep regional flows were observed to bypass the pit. No flows from the opposite side of the Vangorda creek, where the Vangorda pit was located, crossed over to the Grum pit area. Analyses also showed that the capture zone geometry of the pit was largely governed by the hydraulic conductivity distributions and annual recharge rate.
Moving Beyond Traditional KPIs: Data-Driven Performance Monitoring in Operations
Creators: name: Behara, Natalie
Publisher: name: Zenodo
Year: 2022

description: There exists a fundamental link between data quality, system performance and environmental conditions. An end-to-end monitoring approach allows for better system understanding and opens the door for more efficient root cause investigations when anomalies occur. To prepare for future operations, Paranal established a dedicated data & system analysis framework, investigating different operational scenarios, testing new techniques and technologies. With industry partners we are exploring the best data infrastructure suited for multi-site, multi-instrument operations to achieve reliable and robust data access for operations. By increasing system understanding we are paving the way to fully integrated operations.
ESA Virtual Assistant in ESASky: enabling archival data exploration via natural language processing
Creators: name: López-Caniego, Marcos
name: Doctor, Miguel Angel
Publisher: name: Zenodo
Year: 2022

description: ESASky (sky.esa.int) is a powerful visualisation tool developed by the Data Science and Archives Division at ESAC that can be used to discover multi-mission, multi-wavelength and multi-messenger astronomical data anywhere on the sky in a very intuitive way. Since its inception ESASky has been at the forefront of archival data exploration and an increasing number of astronomers are using ESASky to do their science. In parallel, a wide variety of AI technologies have become available in recent years that will enable new ways to interact with astronomical data centres. In this context, we would like to show how the ESA Virtual Assistant (EVA) has been integrated in ESASky and how it allows users to explore its data contents using natural language processing. In practice what this means is that users can interact with EVA using simple sentences that trigger the commanding of ESASky via its API. At the moment the virtual assistant has been programmed with a sufficient number of interactions to carry out most of the tasks that a typical user would do in the ESASky web interface with the mouse. However, exposing the virtual assistant to a larger audience will allow us to train the neural network running behind the virtual assistant to understand more complex sentences and commands, opening new avenues for more advanced exploration of ESASky.
The Kamloops Residential School: Indigenous Perspectives and Revising Canada's History
Creators: name: Foster, Jenna
Publisher: name: The University of British Columbia
Year: 2010

description: The goal of this thesis project is to reveal a part of Canadian history that is not widely known to the general Canadian public, the history Canada‟s residential schools. The study examines the Kamloops Indian Residential School (KIRS). This thesis examines a variety of government, Oblate, testimonial records, and newspaper articles which each give a glimpse of the Canadian government‟s assimilative objective for residential schools and the effects it had on KIRS students. Both the Canadian government and Oblate school instructors believed that Indigenous cultures and languages were inferior to those of Euro-Canadians. Through a carefully designed school curriculum KIRS instructors aimed to modernize and assimilate Indigenous students by teaching manual skills and agriculture to male students, and by teaching female students home economic skills. Although the students gained skills to adapt to Euro-Canadian society at the KIRS, the process had negative effects on their languages, traditions, and communities. Only recently have scholars and government officials begun to address these acknowledged detrimental effects of residential schools.
AI for proposal handling and Selection
Creators: name: , Wolfgang
Publisher: name: Zenodo
Year: 2022

description: Many aspects of modern peer review have not changed from its inception in the 18th century despite drastic changes in the scientific community. Specifically, contrarily to the early days of peer review, it has become a significant challenge to identify experts that can effectively review the more and more specialized fields of science. The problem is exacerbated by the ever-rising number of researchers (having grown by 15% between 2014 and 2018 according to a UNESCO report) also seen through the staggering increase of publications and proposals (doubling every 14 years in astronomy). Some say that peer review has not adequately innovated as technology has advanced and the dissemination of publications has surged, creating a space for stagnant and biased reviews. We have developed and deployed a novel form of peer review in which the proposers become reviewers themselves known as distributed peer review. We enhanced this process using natural language processing and AI technologies to find an optimal match between the pool of proposals and the reviewers. In this talk, I will present this potential solution that was trialed at ESO and is about to go into full use. I will discuss potential other applications of AI in the field of peer review. I will close with an outlook of current and future experiments in peer review.
BEVSeg2GTA: Joint vehicle segmentation and graph neural networks for ego vehicle trajectory prediction in bird’s-eye-view
Creators: name: Sharma, Sushil
name: Das, Arindam
name: Sistu, Ganesh
name: Halton, Mark
name: Eising, Ciarán
Publisher: name: University of Limerick
Year: 2024
Subjects: classificationCode: 40
subject: Engineering

description: Predicting the trajectory of the ego vehicle is a critical task for autonomous vehicles. Even though traffic regulations have defined boundaries, various behaviors of the agents in real-life situations introduce complexities that are hard to capture comprehensively. This has led to a rising curiosity in ego vehicle trajectory prediction based on learning techniques. In this paper, we introduce BEVSeg2GTA ( B ird’s- E ye- V iew Joint Vehicle Seg mentation and G raph Neural Network T r a jectory Prediction), a novel approach that aims to forecast trajectories by treating perception and trajectory prediction as interconnected elements of a single system. By integrating these tasks, we demonstrate the possibility of improving perception accuracy and trajectory prediction error. Initially, an encoder-decoder transformer-based deep network is employed to convert the multi-view camera images to a Bird’s-Eye-View representation followed by semantic segmentation of crucial agents, including the ego vehicle, other vehicles, and pedestrians within the scene. Integrating state-of-the-art backbone (such as EfficientNet) facilitates the extraction of strong features, which are used to construct a graph wherein a node represents each object within the scene. Subsequently, the connections of these nodes are established by a k-Nearest Neighbors algorithm based on the distance metric. Further, the node and image features are fed into a Graph Neural Network to learn the complex relationships between agents in a spatial context. Finally, the Graph Neural Network learned features are passed to a Spatio-Temporal Probabilistic Network to predict the ego vehicle’s future trajectory accurately. The proposed framework, BEVSeg2GTA, has been extensively evaluated on nuScenes datasets. The results demonstrate that the proposed method improves the state-of-the-art performance.
title: Bridging Islamic Finance and Blockchain: Tokenizing Green Sukuk on Ethereum for Sustainable and Inclusive DeFi
title: Research Proposal
titleType: AlternativeTitle
Creators: name: Shaiban, Mohammed
Publisher: name: Zenodo
Year: 2025

description: This project aims to formulate recommendations for enhancing the adoption, fairness, and resilience of the Ethereum ecosystem through a qualitative analysis of Malaysia's economic development.
Cost-optimal adaptive FEM with linearization and algebraic solver for semilinear elliptic PDEs
Creators: name: Brunner, Maximilian
name: Praetorius, Dirk
name: Streitberger, Julian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We consider scalar semilinear elliptic PDEs, where the nonlinearity is strongly monotone, but only locally Lipschitz continuous. To linearize the arising discrete nonlinear problem, we employ a damped Zarantonello iteration, which leads to a linear Poisson-type equation that is symmetric and positive definite. The resulting system is solved by a contractive algebraic solver such as a multigrid method with local smoothing. We formulate a fully adaptive algorithm that equibalances the various error components coming from mesh refinement, iterative linearization, and algebraic solver. We prove that the proposed adaptive iteratively linearized finite element method (AILFEM) guarantees convergence with optimal complexity, where the rates are understood with respect to the overall computational cost (i.e., the computational time). Numerical experiments investigate the involved adaptivity parameters.