cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Study on the Distribution of HIV/AIDS Infections Among Age Groups Attending General Hospital Toto, Central Nigeria
Creators: name: Gyar, S.D
name: Reuben, C. R
name: Haruna, M. S
Publisher: name: figshare
Year: 2017
Subjects: Diseases

description: HIV/AIDS continues to remain a serious public health problem in the developing nations of the world especially in Nigeria, where about 2.9 million people are living with the infection. This study aimed at determining the seroprevalence of HIV with associated risk factors among various age groups attending General Hospital Toto, Central Nigeria. Two hundred blood samples were collected and screened for HIV using conventional methods. The observed cumulative seroprevalence of studied cases was 20.50%, with patients within the age groups 51- 60 and 31- 40 having a high seropositivity while the least seropositivity was recorded among 11- 20 and 0- 10 age groups. Various risk factors examined indicated that farmers, illiterates, singles and males had high seroprevalence of 39.13%, 32.55%, 26.47% and 23.37% respectively. There was no statistically significant relationship (P>0.05) between the various age groups and other predisposing risk factors examined. Efforts on the enlightenment campaign and orientation of the rural populace about HIV infection especially the reproductive age group are considered here as recommendation for averting or at least minimizing the scourge amongst populations of the study area.
Additional file 1 of The impact of introducing multidisciplinary care assessments on access to rheumatology care in British Columbia: an interrupted time series analysis
Creators: name: Duncan, Ross
name: Cheng, Lucy
name: Law, Michael R.
name: Shojania, Kam
name: De Vera, Mary A.
name: Harrison, Mark
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health

description: Additional file 1: Appendix A. ITS regression plots for secondary analyses. Appendix B. Rheumatologist Categorization Algorithm.
The VLT/NaCo large program to probe the occurrence of exoplanets and brown dwarfs at wide orbits. IV. Gravitational instability rarely forms wide, giant planets
Creators: name: Vigan, A.
name: Bonavita, M.
name: Biller, B.
name: Forgan, D.
name: Rice, K.
name: Chauvin, G.
name: Desidera, S.
name: Meunier, J. -C.
name: Delorme, P.
name: Schlieder, J. E.
name: Bonnefoy, M.
name: Carson, J.
name: Covino, E.
name: Hagelberg, J.
name: Henning, T.
name: Janson, M.
name: Lagrange, A. -M.
name: Quanz, S. P.
name: Zurlo, A.
name: Beuzit, J. -L.
name: Boccaletti, A.
name: Buenzli, E.
name: Feldt, M.
name: Girard, J. H. V.
name: Gratton, R.
name: Kasper, M.
name: Coroller, H. Le
name: Mesa, D.
name: Messina, S.
name: Meyer, M.
name: Montagnier, G.
name: Mordasini, C.
name: Mouillet, D.
name: Moutou, C.
name: Reggiani, M.
name: Segransan, D.
name: Thalmann, C.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Understanding the formation and evolution of giant planets ($\ge$1 $M_{Jup}$) at wide orbital separation ($\ge$5 AU) is one of the goals of direct imaging. Over the past 15 years, many surveys have placed strong constraints on the occurrence rate of wide-orbit giants, mostly based on non-detections, but very few have tried to make a direct link with planet formation theories. In the present work, we combine the results of our previously published VLT/NaCo large program with the results of 12 past imaging surveys to constitute a statistical sample of 199 FGK stars within 100 pc, including 3 stars with sub-stellar companions. Using Monte Carlo simulations and assuming linear flat distributions for the mass and semi-major axis of planets, we estimate the sub-stellar companion frequency to be within 0.75-5.7% at the 68% confidence level (CL) within 20-300 AU and 0.5-75 $M_{Jup}$, which is compatible with previously published results. We also compare our results with the predictions of state-of-the-art population synthesis models based on the gravitational instability (GI) formation scenario by Forgan & Rice (2013), with and without scattering. We estimate that in both the scattered and non-scattered populations, we would be able to detect more than 30% of companions in the 1-75 $M_{Jup}$ range (95% CL). With the 3 sub-stellar detections in our sample, we estimate the fraction of stars that host a planetary system formed by GI to be within 1.0-8.6% (95% CL). We also conclude that even though GI is not common, it predicts a mass distribution of wide-orbit massive companions that is much closer to what is observed than what the core accretion scenario predicts. Finally, we associate the present paper with the release of the Direct Imaging Virtual Archive (DIVA, http://cesam.lam.fr/diva/), a public database that aims at gathering the results of past, present, and future direct imaging surveys.
description: 20 pages, 11 figures. Accepted for publication in A&A
Investigating protein kinase CK2 inhibition in BRAF colon cancer
Creators: name: Brown, Benjamin
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Within colon cancer, the BRAF mutation is a biomarker of poor prognosis, with patients experiencing a median survival of 10 months once the disease has metastasized. These patients are unresponsive to single-agent BRAF inhibition, despite its efficacy in a range ofother BRAF cancer types. Recently, phosphosubstrates of protein kinase CK2 were shown to be up-regulated in response to BRAF inhibition in BRAF thyroid cancer. We investigated the efficacy of combined BRAF/protein kinase CK2 inhibition in various BRAF colon cancer cell lines. Dual administration of CX-4945 (CK2i) with Dabrafenib (BRAFi) was effective inreducing cell viability, although not as impressively as previously reported in melanoma and thyroid cancer. Using a label-free phosphoproteomics workflow, a total of 29 phosphopeptides were up-regulated in response to BRAF inhibition. Kinase enrichment analysis of these phosphopeptides revealed that there was no enrichment of protein kinaseCK2 substrates. Rather, 58% of the enriched kinases functioned downstream of EGFR. This finding points to the clear need to control EGFR signaling in BRAF colon cancer. Kinase enrichment analysis also revealed that SRC kinase activity was enriched 7.67-fold in responseto GDC0941 (PI3Ki), providing rationale for the evaluation of dual PI3K/SRC kinase inhibitionin BRAF colon cancer cells.
title: ADCO, Cart. 186 (11 H 71), f. 0022r
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la Côte-d'Or, C
art. 186 (11 H 71). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, t. II (XVe siècle), tome II, Archives départementales de la
 Côte-d'Or, Cart. 186 (11 H 71), f. 0022r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-
project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction
Creators: name: Barajas, Carlos A.
name: Gobbert, Matthias
name: Wang, Jianwu
Publisher: name: IEEE
Year: 2020
Subjects: UMBC Big Data Analytics Lab

description: 2019 IEEE International Conference on Big Data 9-12 Dec. 2019
description: Predicting violent storms and dangerous weather conditions with current models can take a long time due to the immense complexity associated with weather simulation. Machine learning has the potential to classify tornadic weather patterns much more rapidly, thus allowing for more timely alerts to the public. To deal with class imbalance challenges in machine learning, different data augmentation approaches have been proposed. In this work, we examine the wall time difference between live data augmentation methods versus the use of preaugmented data when they are used in a convolutional neural network based training for tornado prediction. We also compare CPU and GPU based training over varying sizes of augmented data sets. Additionally we examine what impact varying the number of GPUs used for training will produce given a convolutional neural network.
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome III, Cart. 187 (11 H 72), f. 005
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome III, Archives départementales de la Côte-d'Or, Cart. 187 (11 H 72), f. 005, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome III, Archives départementales de la Côte-d'Or, Cart. 187 (11 H 72), f. 005, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Bose-Einstein condensation of erbium atoms in a quasielectrostatic optical dipole trap
Creators: name: Ulitzsch, Jens
name: Babik, Daniel
name: Roell, Roberto
name: Weitz, Martin
Publisher: name: arXiv
Year: 2017
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: Quantum gases of rare-earth elements are of interest due to the large magnetic moment of many of those elements, leading to strong dipole-dipole interactions, as well as an often nonvanishing orbital angular momentum in the electronic ground state, with prospects for long coherence time Raman manipulation, and state-dependent lattice potentials. We report on the realization of a Bose-Einstein condensate of erbium atoms in a quasielectrostatic optical dipole trap generated by a tightly focused midinfrared optical beam derived from a $\textrm{CO}_2$ laser near 10.6$μ$m in wavelength. The quasistatic dipole trap is loaded from a magneto-optic trap operating on a narrow-line erbium laser cooling transition near 583nm in wavelength. Evaporative cooling within the dipole trap takes place in the presence of a magnetic field gradient to enhance the evaporative speed, and we produce spin-polarized erbium Bose-Einstein condensates with $3\times10^4$ atoms.
description: 5 pages, 5 figures
A similarity reduction of the generalized Grad-Shafranov equation
Creators: name: Kuiroukidis, A. I.
name: Kaltsas, D. A.
name: Throumoulopoulos, G. N.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We extend previous work [Y. E. Litvinenko, Phys. Plasmas 17, 074502 (2010)] on a direct method for finding similarity reductions of partial differential equations such as the Grad-Shafranov equation, to the case of the generalized Grad-Shafranov equation (GGSE) with arbitrary incompressible flow. Several families of analytic solutions are constructed, the generalized Solovév solution being a particular case, which contain both the classical and non-classical group-invariant solutions to the GGSE. Those solutions can describe a variety of equilibrium configurations pertinent to toroidal magnetically confined plasmas and planetary magnetospheres.
Biomimetic Stimulating Array for Single Localized Stimulation in Visual Prosthesis
Creators: name: Villarreal DL
name: Schroeder D
name: Krautschneider WH
Publisher: name: figshare
Year: 2017
Subjects: Health Care

description: Visual prostheses electrically stimulate nearby neurons to generate artificial vision in patients blinded by retinal degenerative diseases. Current prosthetic devices offer limited spatial resolution that results in unselective stimulation of ganglion cells and the generation of percepts with shapes other than a small spot of light. In this study, we introduce a theoretical approach to treat the biomimetic retinal electrode array. This array produces electrodes that are self-determined to adjust their spatial parameters for single localized stimulation. Electrode stimulation of the biomimetic electrode array was simulated in a 3D reconstruction of the retina and ganglionic layer at locations in the retina with high area cell density. We also simulated ganglion cell stimulation in the far periphery as the array could be relocated on the retina due to the natural movements of the eye. Single localized stimulation was achieved throughout the retinal regions near the fovea, which is required in humans for activities where visual detail is of primary importance and thus relevant for high resolution vision. Single-cell stimulation responses leveled off until 30° of eccentricity in average using the biomimetic array with large array area. That is, the biomimetic array can produce a stable stimulation of single cells and a broad field of view for a wide region of the retina. Lastly, we provide considerations for the biomimetic electrode array for practical applications. Together of being useful to improve single cell activation, the applicability of the biomimetic electrode array can yield strategies to increase the area of the array and produce a wide-ranging field of view.
New Methods to Characterize the Substructure in the Abell 2146 Cluster of Galaxies
Creators: name: Panda, Prajwal
Publisher: name: Maryland Shared Open Access Repository
Year: 2023
Subjects: Abell 2146
Astrophysics
clustering
galaxies
Machine Learning
Unsupervised learning

description: Unraveling the complexities of galaxy clusters is a pivotal endeavor in astro-physics. In this thesis, we employ state-of-the-art unsupervised learning techniques, specifically Gaussian Mixture Model (GMM) and K-means clustering, to explore the intricate structures of the Abell 2146 galaxy cluster. Using the spatial coordinates of Right Ascension (RA) and Declination (Dec), and velocity as the third dimension, we endeavor to determine the optimal number of sub-structures within this celestial cluster. Strikingly, our analysis reveals that K-means, among the two clustering techniques, offers superior performance in unraveling the cluster’s inherent structures.We use two powerful methods, the silhouette and elbow methods, to effectively optimize the number of sub structures. With the optimal number of clusters now ascertained, we extend our investigation to apply the spherical infall model. This phase focuses on the kinematics of the sub-structures found within the cluster, and their relationship to the density of the cluster. We test out findings with two of the most common density models, ?m = 0.3 and ?m = 0.04 , where ?m = ? ?c , accommodating both dark and luminous matter contributions. Through our investigation, we constrain the mass density dynamics of the Abell 2146 galaxy cluster. This interdisciplinary approach harmonizes cutting-edge machine learning with as- trophysical modeling, shedding new light on the nature of galaxy clusters. By com- bining these methodologies, our research not only advances our understanding of cosmic structures but also elucidates the complex interactions that define the struc- ture formation in the Universe
AI-Driven Financial Risk Assessment In Microfinance Institutions
Creators: name: Researchscholar
Publisher: name: Zenodo
Year: 2025

description: Microfinance institutions (MFIs) play a vital role in promoting financial inclusion by offering credit andother financial services to underserved communities. However, assessing financial risk in this sector remains acomplex challenge due to the absence of formal credit histories, irregular income patterns, and informaleconomic activity among borrowers. Traditional risk evaluation models are often inadequate in these contexts.Artificial Intelligence (AI) provides a transformative solution through data-driven, adaptive, and scalable riskassessment mechanisms. This paper explores the foundations of AI in financial risk analysis within microfinance,focusing on machine learning algorithms, natural language processing, and the use of alternative data. Key usecases such as credit scoring, default prediction, and fraud detection are examined in detail. Real-world casestudies from countries like India, Kenya, and Mexico demonstrate how AI is improving decision-making,expanding financial access, and reducing loan default rates. Ethical and regulatory considerations, includingfairness, transparency, and data privacy, are discussed in the context of vulnerable populations. The paper alsoaddresses challenges such as data availability, algorithmic bias, and infrastructure limitations. Emerginginnovations—such as explainable AI, federated learning, and AI-driven personalization—are explored as futurepathways for enhancing responsible and inclusive microfinance. AI-driven risk assessment stands at the forefrontof modernizing microfinance while supporting global goals for equitable economic development.
Mercury's magnetic field in the MESSENGER era
Creators: name: Wicht, Johannes
name: Heyner, Daniel
Publisher: name: arXiv
Year: 2017
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: MESSENGER magnetometer data show that Mercury's magnetic field is not only exceptionally weak but also has a unique geometry. The internal field resembles an axial dipole that is offset to the North by 20% of the planetary radius. This implies that the axial quadrupol is particularly strong while the dipole tilt is likely below 0.8 degree. The close proximity to the sun in combination with the weak internal field results in a very small and highly dynamic Hermean magnetosphere. We review the current understanding of Mercury's internal and external magnetic field and discuss possible explanations. Classical convection driven core dynamos have a hard time to reproduce the observations. Strong quadrupol contributions can be promoted by different measures, but they always go along with a large dipole tilt and generally rather small scale fields. A stably stratified outer core region seems required to explain not only the particular geometry but also the weakness of the Hermean magnetic field. New interior models suggest that Mercury's core likely hosts an iron snow zone underneath the core-mantle boundary. The positive radial sulfur gradient likely to develop in such a zone would indeed promote stable stratification. However, even dynamo models that include the stable layer show Mercury-like magnetic fields only for a fraction of the total simulation time. Large scale variations in the core-mantle boundary heat flux promise to yield more persistent results but are not compatible with the current understanding of Mercury's lower mantle.
description: 40 pages, 14 figures
The Superscaling Variable and Neutrino Energy Reconstruction, From Theoretical Predictions to Experimental Limitations
Creators: name: Douqa, Dana
name: Bordoni, Stefania
name: Giannessi, Lorenzo
name: Nikolakopoulos, Alexis
name: Sánchez, Federico
name: Schloesser, Caspar
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We introduce the novel approach of using the superscaling variable as an observable and an analysis tool in the context of charged current neutrino-nucleus interactions. We study the relation between the superscaling variable and the removal energy, in addition to other fundamental parameters of the neutrino-nucleus interaction models. In the second half of the paper, we discuss the experimental viability of this measurement following a study of neutrino energy and missing momentum reconstruction. We show that the superscaling variable is measurable in neutrino interaction experiments provided that the proton is detected in the final state. We discuss the resolution of this measurement, and the limitation imposed by the proton's detection threshold.
Closing the window for compressed Dark Sectors with disappearing charged tracks
Creators: name: Mahbubani, Rakhi
name: Schwaller, Pedro
name: Zurita, Jose
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate the sensitivity at current and future hadron colliders to a heavy electrically-charged particle with a proper decay length below a centimetre, whose decay products are invisible due to below-threshold energies and/or small couplings to the Standard Model. A cosmologically-motivated example of a framework that contains such a particle is the Minimal Supersymmetric Standard Model in the limit of pure Higgsinos. The current hadron-collider search strategy has no sensitivity to the upper range of pure Higgsino masses that are consistent with the thermal relic density, even at a future collider with 100 TeV centre-of-mass energy. We show that performing a disappearing track search within the inner 10 cm of detector volume would improve the reach in lifetime by a factor of 3 at the 14 TeV LHC and a further factor of 5 at a 100 TeV collider, resulting in around 10 events for 1.1 TeV thermal Higgsinos. In order to include the particles with the largest boost in the analysis, we furthermore propose a purely track-based search in both the central and forward regions, each of which would increase the number of events by another factor of 5, improving our reach at small lifetimes. This would allow us to definitively discover or exclude the experimentally-elusive pure-Higgsino thermal relic at a 100 TeV collider.
description: 20 pages, 11 figures
Top shelf bottom feeders: food provisioning in stingrays
Creators: name: Pini-Fitzsimmons, Joni
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Recreational anglers often discard fish waste back into waterways, yet the effects of incidental provisioning as a result of this activity have not yet been assessed, and are not considered in management. At the Woollamia boat ramp in Jervis Bay, Australia, anglers have provisioned short-tail stingrays since 1985. In Chapter 1, we compared stingray visitation with provisioning activity, which indicated their movements are strongly linked to provisioning. Observations also suggest the area may have reproductive significance to this species. Short-tail stingrays may be capable of complex social behaviours, yet no assessment of their sociality exists. Aggregation at the provisioning site provided an opportunity to study their social behaviour. In Chapter 2, we assessed dyadic agonistic interactions and observed a dominance hierarchy and social network that was reflective of a despotic society, indicating this species is capable of highly complex social behaviour. These stingrays may be at risk of experiencing further negative impacts from provisioning, such as dependency, resulting in reduced fitness. The results of these studies highlight that management of recreational fisheries, with respect to appropriately handling waste and its potential impacts on wildlife, needs to be revised. Our data provide a baseline of effects on which monitoring and management programs can be built.
QCD analysis of the $P$-wave charmonium electromagnetic Dalitz decays $h_{c}\rightarrowη^{(\prime)}\ell^{+}\ell^{-}$
Creators: name: Fan, Chao-Jie
name: He, Jun-Kang
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The $P$-wave charmonium electromagnetic Dalitz decays $h_{c}\rightarrowη^{(\prime)}\ell^{+}\ell^{-}$ $(\ell=e, μ)$ with large recoil momentum are investigated in the framework of perturbative QCD, and the contributions from the small recoil momentum region are described by the overlap of soft wave functions. The transition form factors $f_{h_{c}η^{(\prime)}}(q^{2})$ and the normalized transition form factors $F_{h_{c} η^{(\prime)}}(q^{2})$ in full kinematic region are derived for the first time. It is noticed that there are no IR divergences at one-loop level, and the transition form factors with the relativistic corrections from the internal momentum of $h_{c}$ are insensitive to both the shapes of $η^{(\prime)}$ distribution amplitudes and the invariant mass of the lepton pair in the large recoil momentum region. Intriguingly, unlike the situation in the $S$-wave charmonium decays $J/ψ\rightarrowη^{(\prime)}\ell^{+}\ell^{-}$, we find the contributions from the small recoil momentum region are comparable with those from the large recoil momentum region in the $P$-wave charmonium decays $h_{c}\rightarrowη^{(\prime)}\ell^{+}\ell^{-}$. By employing the obtained $F_{h_{c} η^{(\prime)}}(q^{2})$, we give the predictions of the branching ratios $\mathcal{B}(h_{c}\rightarrowη^{(\prime)}\ell^{+}\ell^{-})$, which may come within the range of measurement of present or near-future experiments.
description: 33 pages, 6 figures and 1 table
Optimising primordial non-Gaussianity measurements from galaxy surveys
Creators: name: Mueller, Eva-Maria
name: Percival, Will J.
name: Ruggeri, Rossana
Publisher: name: arXiv
Year: 2017
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Galaxy clustering data from current and upcoming large scale structure surveys can provide strong constraints on primordial non-Gaussianity through the scale-dependent halo bias. To fully exploit the information from galaxy surveys, optimal analysis methods need to be developed and applied to the data. Since the halo bias is sensitive to local non-Gaussianity predominately at large scales, the volume of a given survey is crucial. Consequently, for such analyses we do not want to split into redshift bins, which would lead to information loss due to edge effects, but instead analyse the full sample. We present an optimal technique to directly constrain local non-Gaussianity parametrised by $f_\mathrm{NL}^\mathrm{loc}$, from galaxy clustering by applying redshift weights to the galaxies. We derive a set of weights to optimally measure the amplitude of local non-Gaussianity, $f_\mathrm{NL}^\mathrm{loc}$, discuss the redshift weighted power spectrum estimators, outline the implementation procedure and test our weighting scheme against Lognormal catalogs for two different surveys: the quasar sample of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS) and the emission line galaxy sample of the Dark Energy Spectroscopic Instrument (DESI) survey. We find an improvement of 30 percent for eBOSS and 6 percent for DESI compared to the standard Feldman, Kaiser $\&$ Peacock weights, although these predictions are sensitive to the bias model assumed.
description: 8 pages, 4 Figures
Quantum Carnot thermal machines re-examined: Definition of efficiency and the effects of strong coupling
Creators: name: Liu, Junjie
name: Jung, Kenneth A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Whether the strong coupling to thermal baths can improve the performance of quantum thermal machines remains an open issue under active debate. Here, we revisit quantum thermal machines operating with the quasi-static Carnot cycle and aim to unveil the role of strong coupling in maximum efficiency. Our analysis builds upon definitions of excess work and heat derived from an exact formulation of the first law of thermodynamics for the working substance, which captures the non-Gibbsian thermal equilibrium state that emerges at strong couplings during quasi-static isothermal processes. These excess definitions differ from conventional ones by an energetic cost for maintaining the non-Gibbsian characteristics. With this distinction, we point out that one can introduce two different yet thermodynamically allowed definitions for efficiency of both the heat engine and refrigerator modes. We dub them excess and hybrid definitions which differ in the way of defining the gain for the thermal machines at strong couplings by either just analyzing the energetics of the working substance or instead evaluating the performance from an external system upon which the thermal machine acts, respectively. We analytically demonstrate that the excess definition predicts that the Carnot limit remains the upper bound for both operation modes at strong couplings, whereas the hybrid one reveals that strong coupling can suppress the maximum efficiency rendering the Carnot limit unattainable. These seemingly incompatible predictions thus indicate that it is imperative to first gauge the definition for efficiency before elucidating the exact role of strong coupling, thereby shedding light on the on-going investigation on strong-coupling quantum thermal machines.
description: 9 pages, 1 figure. Comments are highly welcome!
A probabilistic approach to spectral analysis of growth-fragmentation equations
Creators: name: Bertoin, Jean
name: Watson, Alexander
Publisher: name: arXiv
Year: 2017
Subjects: subject: Probability (math.PR)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics

description: The growth-fragmentation equation describes a system of growing and dividing particles, and arises in models of cell division, protein polymerisation and even telecommunications protocols. Several important questions about the equation concern the asymptotic behaviour of solutions at large times: at what rate do they converge to zero or infinity, and what does the asymp-totic profile of the solutions look like? Does the rescaled solution converge to its asymptotic profile at an exponential speed? These questions have traditionally been studied using analytic techniques such as entropy methods or splitting of operators. In this work, we present a probabilistic approach to the study of this asymptotic behaviour. We use a Feynman--Kac formula to relate the solution of the growth-fragmentation equation to the semigroup of a Markov process, and characterise the rate of decay or growth in terms of this process. We then identify the spectral radius and the asymptotic profile in terms of a related Markov process, and give a spectral interpretation in terms of the growth-fragmentation operator and its dual. In special cases, we obtain exponential convergence.
AI-Powered Water Resource Management in Smart Agricultural Systems
Creators: name: Researchscholar
Publisher: name: Zenodo
Year: 2025

description: Agriculture accounts for over 70% of global freshwater withdrawals, placing immense stress on waterresources, particularly in arid and semi-arid regions. With climate change, population growth, and environmentaldegradation intensifying pressure on freshwater availability, smart agricultural systems offer a sustainable pathforward. Artificial Intelligence (AI) has emerged as a transformative tool for enhancing water resourcemanagement in agriculture, enabling real-time decision-making, optimizing irrigation, and improving crop yieldwhile conserving water. This paper explores the foundational AI technologies employed in smart agriculture,including machine learning, computer vision, and Internet of Things (IoT) integration. It presents various usecases where AI contributes to efficient water utilization, such as precision irrigation, soil moisture prediction,and weather-informed irrigation scheduling. Real-world case studies from regions like Israel, India, and theUnited States highlight the measurable benefits of AI adoption in agriculture. The paper also addresses ethicaland regulatory concerns, including data privacy, technological accessibility, and algorithmic transparency.Finally, it discusses challenges such as infrastructure limitations and data inconsistency, and concludes with aforward-looking discussion on innovations like edge AI, digital twins, and blockchain integration. Through acomprehensive review, this paper underscores the potential of AI to drive sustainable water use in agricultureand build climate-resilient farming ecosystems.
Early Detection of Diabetes using Thermography and Artificial Neural Networks
Creators: name: Abdulshahed AM
name: Alabyad FM
name: Goohe HA
name: Saed MA
Publisher: name: figshare
Year: 2017
Subjects: Health Care

description: The aim of this work is to demonstrate the usefulness of the artificial intelligence tools for early detection of diseases. From the historic and simple assessment of temperature by the clinical thermometer, thermal imaging camera has opened up new perspectives, and that a whole image field-of-view can be characterized in a single measurement. Thermographic assessment of temperature distribution within the examined skin enables a quick, non-contact, non-invasive relative measurement of their temperature. No literature has been found until date detection of diabetes using thermography and artificial neural networks. An attempt in this regard could help doctors make a safer decision. This work shows that the output predicted using the artificial neural network based on thermography, can be used for early detection of diabetes.
The effect of neuro emotional technique on chronic low back pain
Creators: name: Bablis, Peter
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Introduction: Recent evidence suggests that chronic low back pain (CLBP) is a complex, multi-factorial phenomenon with physical and biopsychosocial components. The biopsychosocial model of pain acknowledges the biological, psychological and social dimensions of the pain experience. Chiropractors, doctors and other clinicians have begun to embrace the concept of "mind-body" treatments and attempt to integrate the function of the mind in caring for their patients. Despite this development, very few mind-body treatments have been investigated under controlled conditions for their efficacy. Objective: The aim of this research was to explore the value if any, of the Neuro Emotional Technique (NET) approach to the management of CLBP, and to investigate if NET therapy can alter the status of low back pain (LBP) in a group of CLBP patients using a randomised controlled trial design. Methods: An NET protocol for low back pain treatment was standardised for the purpose of this research. Following the conduct of a feasibility study, 112 LBP participants with a pain duration of a minimum three months were randomised into either a treatment (n=58) or control (n=54) group. Participants were allocated to groups by a research assistant and were blinded to their assigned group. The treatment group underwent a course of NET, whilst the control group underwent a sham protocol of NET. Both groups were prescribed intervention at a frequency of two sessions per week for one month. Subjective and objective outcome measures including a numerical pain rating scale (VAS), the Oswestry disability questionnaire (ODQ), General health questionnaires (SF-36) and blood markers were all obtained at baseline, 1 month, 3 months and 6 months. Results: A significant statistical difference between the NET and sham groups was detected in paper based and blood measures assessed in this RCT. The Oswestry, the QVAS and the SF-36 all attained statistical and clinical significance. Two blood inflammatory markers also showed positive changes: C-reactive protein decreased and TNFα decreased. These two measures had participants move from blood concentrations which would be considered abnormal into the normal range. Other blood inflammatory markers- Interleukin-1, Interleukin-6, Interleukin-10 all commenced within normal physiological range for both control and treatment groups. As such even though a positive statistical difference was attained for those markers, the changes are deemed to be of little clinical value. In each of the measures noted above, the changes were most marked in the short term, that is, after one month of intervention. Typically, participants in the experimental cohort retained the changes obtained following the one month intervention period. Conclusion: The findings of this RCT study suggest that NET therapy may be effective in the short term (one month) and medium-long term (six months) for reducing CLBP.
A qualitative analysis of trauma narratives among people in treatment for PTSD and substance use disorders
Creators: name: Berg, Samantha Karen
Publisher: name: Maryland Shared Open Access Repository
Year: 2023
Subjects: clinical sample
PTSD
qualitative
substance use
thematic analysis
trauma

description: Posttraumatic Stress Disorder (PTSD) and Substance Use Disorder (SUD) are highly comorbid yet PTSD treatment is seldom offered in residential SUD treatment facilities. Written Exposure Therapy (WET) was introduced as a brief PTSD intervention to a clinical sample of participants with comorbid PTSD-SUD. As part of this treatment, patients wrote accounts about the traumatic events that they experienced and the impact of the trauma on their lives. This master's thesis presents a qualitative analysis of trauma narratives among individuals (N = 38) undergoing treatment for PTSD and SUD. There is limited qualitative data on traumatic experiences and reactions of people with comorbid PTSD-SUD. Through thematic analysis, the researcher investigated the intricate connections between trauma, emotional expression, physiological expression, and substance use, aiming to gain insights into the unique challenges and coping mechanisms of this sample. Participants' accounts explore the significant impact of trauma on emotional well-being, relationships, and perspective shift, providing potential implications for trauma-informed interventions in dual-diagnosis treatment settings. The findings shed light on the complex interplay between traumatic experiences, PTSD symptomatology, and patterns of substance use. Four themes emerged from Session 1 accounts: (1) My Heart Dropped, (2) The Pain was Unbearable, (3) All My Fault, and (4) I Started Using. Two themes emerged from Session 5 accounts: (1) My Life has Been Changed and (2) The Future Holds Promise. This study further contributes to the existing literature on trauma and substance use, providing a deeper understanding of the subjective experiences of individuals in residential SUD care with co-occurring PTSD.
A Treatise of the Physical Aspects of Phosphenes and Single-Cell Selectivity in Retinal Stimulation
Creators: name: Villarreal DL
name: Schroeder D
name: Krautschneider WH
Publisher: name: figshare
Year: 2017
Subjects: Health Care

description: Objective: Artificial vision is currently in an early-stage of maturity. This can be understood as a falling short of visual prosthesis to generate a complete visual scene with detail perception. Similarly, the physical aspects of phosphenes or spots of light demand a better understanding. Approach: This study introduces the strategy of the activation area and pinpoints its usefulness to estimate the amount of cells activated and identify the size and shape of the phosphenes. A simulation framework was built by integrating the relevant retinal interface elements and the dynamics of the ionic channels in the ganglion cells. Shape perceptions reported by Keserü in clinical trials were directly compared with our simulation framework. Similarly, the strategy of the activation area is used on a proposed electrode array to activate single cells and to produce a small spot of light required for highresolution vision. Main Results: The wide range of shape responses formerly described by patients is highly correlated with our simulationbased findings. Single-cell selectivity was reached throughout the regions near the fovea, which is necessary in humans for activities where visual detail is of primary importance and thus relevant for high resolution vision. For realistic applications, we provided the dimensions of the electrode carrier for single localized stimulation. Significance: Together of being useful to identify the physical aspects of phosphenes generated by electrical stimulation, the applicability of the activation area can yield valuable strategies to attain single-cell selectivity.
The Reliability of Accretion Disk Inclination Derived from X-ray Spectroscopy of Active Galaxies
Creators: name: Du, Rong
name: Ding, Yuanze
name: Ho, Luis C.
name: Li, Ruancun
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The inclination angle of substructures in active galaxies gives insights into physical components from scales of the vicinity of the central black hole to the entire host galaxy. We use the self-consistent reflection spectral model \textsc{RELXILL} to measure the inclination of the inner region of accretion disks with broadband ($0.3-78\,\rm keV$) X-ray observations, systematically studying the reliability of this methodology. To test the capability of the model to return statistically consistent results, we analyze multi-epoch, joint XMM-Newton and NuSTAR data of the narrow-line Seyfert~1 galaxy I\,Zwicky\,1 and the broad-line radio galaxy 3C\,382, which exhibit different degrees of spectral complexity and reflection features. As expected, we find that adding more data for analysis narrows the confidence interval and that multi-epoch, joint observations return optimal measurements; however, even single-epoch data can be well-fitted if the reflection component is sufficiently dominant. Mock spectra are used to test the capability of \textsc{RELXILL} to recover input parameters from typical single-epoch, joint observations. We find that inclination is well-recovered at 90\% confidence, with improved constraints at higher reflection fraction and higher inclination. Higher iron abundance and corona temperature tighten the constraints as well, but the effect is not as significant as a higher reflection fraction. The spin, however, have little effect in reflection-based inclination measurements. We conclude that broadband reflection spectroscopy can reliably measure inner accretion disk inclination.
description: 27 pages, 11 figures, 11 tables; accepted by the Astrophysical Journal
title: KLIMONAS-Ch24-A09 - Estimation des 13 indices taphonomiques pour les principaux assemblages fauniques des bâtiments B07, B10, B17, B26 et B27 du secteur B, et pour le bâtiment B800 (St 800) du secteur F de Klimonas
title: KLIMONAS-Ch24-A09 - Estimation of the 13 taphonomic indices for the main faunal assemblages of the buildings B07, B10, B17, B26 and B27 of the B Sector, and for the building B800 (St 800) of the F Sector of Klimonas
Creators: name: VIGNE, Jean-Denis
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2023

description: Appendix of: Vigne J.-D., Briois F., Guilaine J. (eds.), « Klimonas, an Early Pre-Pottery Neolithic village in Cyprus », Gallia Préhistoire & Paléorient, International Supplement 1, CNRS Éditions, Paris, 2023.
description: Annexe de : Vigne J.-D., Briois F., Guilaine J. (dir.), « Klimonas, un village néolithique pré-céramique ancien à Chypre », Gallia Préhistoire & Paléorient, Supplément international 1,CNRS Éditions, Paris, 2023.
Spontaneous Charge Breaking in the NMSSM - Dangerous or not?
Creators: name: Krauss, Manuel E.
name: Opferkuch, Toby
name: Staub, Florian
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate the impact of charge-breaking minima on the vacuum stability of the NMSSM. We find that, in contrast to Two-Higgs-Doublet Models like the MSSM, at both tree- and loop-level there exists global charge-breaking minima. Consequently, many regions of parameter space are rendered metastable, which otherwise would have been considered stable if these charge-breaking minima were neglected. However, the inclusion of these new scalar field directions has little impact on otherwise metastable vacuum configurations.
description: 7 pages, 4 figures
Quantum Monte Carlo simulations for financial risk analytics: scenario generation for equity, rate, and credit risk factors
Creators: name: Matsakos, Titos
name: Nield, Stuart
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Risk Management (q-fin.RM)
subject: FOS: Physical sciences
subject: FOS: Economics and business

description: Monte Carlo (MC) simulations are widely used in financial risk management, from estimating value-at-risk (VaR) to pricing over-the-counter derivatives. However, they come at a significant computational cost due to the number of scenarios required for convergence. If a probability distribution is available, Quantum Amplitude Estimation (QAE) algorithms can provide a quadratic speed-up in measuring its properties as compared to their classical counterparts. Recent studies have explored the calculation of common risk measures and the optimisation of QAE algorithms by initialising the input quantum states with pre-computed probability distributions. If such distributions are not available in closed form, however, they need to be generated numerically, and the associated computational cost may limit the quantum advantage. In this paper, we bypass this challenge by incorporating scenario generation -- i.e. simulation of the risk factor evolution over time to generate probability distributions -- into the quantum computation; we refer to this process as Quantum MC (QMC) simulations. Specifically, we assemble quantum circuits that implement stochastic models for equity (geometric Brownian motion), interest rate (mean-reversion models), and credit (structural, reduced-form, and rating migration credit models) risk factors. We then integrate these models with QAE to provide end-to-end examples for both market and credit risk use cases.
description: Accepted for publication in Quantum. 35 pages