cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Widespread Expansion of Salt Marsh Pools Observed on Maine Marshes Since 2009
Creators: name: DeWater, K.
name: Kochtitzky, W.
name: Ellis, R.
name: Merrill, P.
name: Pittsley, M.
name: Morgan, P.
name: Burns, C.
name: Campbell, Anthony D.
name: Adamowicz, S.
Publisher: name: WIley
Year: 2025
Subjects: subject: salt marsh pools
subject: marsh restoration
subject: Maine salt marshes
subject: mega-pools
subject: sea level rise

description: Salt marshes provide critical habitats, protect coastal infrastructure, and are increasingly exposed to sea level rise, with many having a history of agricultural use and ditching over the centuries. Pool area coverage can be considered an indicator of marsh health but is rarely quantified. In this study, we digitized marsh pools using aerial imagery to quantify changes in pool area and density on 12 salt marshes in Maine from 2009 to 2021 as a case study of marsh response to environmental changes. We categorized pools into three types: mega-pools, individual pools, and perimeter pools, based on morphology and examined whether pools remained singular, split, or combined. We found a 15.7% increase in pool area from 2009 to 2021 on all marshes, primarily driven by mega-pool expansion, whereas individual and perimeter pools remained relatively constant. The rate of pool expansion across all marshes was 49,000 m2 a?1 with mean mega-pool size 6,400 � 400 m2. There was an increase in pool count per km2 on all marshes except for the York River marsh, which still experienced area expansion. Pools primarily increase in cover through merging or being engulfed by mega-pools. Area cover change was not substantial when pools remained singular, split into many pools, or were only present in 2009 or 2021. Mega-pools were larger on lower marsh elevations and expanded at a greater rate when overlapping ditches, suggesting influence by sea level rise and historic agriculture. Marsh restoration projects that promote the drainage and re-vegetation of mega-pools may reverse this trend.
L'inerbimento nell'ecosistema vigneto: confronto di metodologie di misura del consumo idrico del prato e risposta allo sfalcio
Creators: name: Centinari, Michela <1977>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2008
Subjects: AGR/03 Arboricoltura generale e coltivazioni arboree

description: Water resources management will become increasingly important in agriculture as global
warming takes place. Cover crop is largely used in viticultural areas based on the many
positive agronomic and environmental benefits it provides. However, it is not clear what
effect the cover crop can have on water use in the vineyard. This study is designed to
develop a further understanding of the role cover crops play in total water use in the
vineyard and develop our understanding of the potential use of cover crops as a water
management tool.
Two techniques were used to measure cover crop water use, the mini-lysimeters and a
portable open chamber and data from both was compared to reference evapotranspiration
(ETo) (FAO guidelines). While the mini-lysimeters seemed to be limited in their ability
to accurately represent the water use of the surrounding soil, the open chamber method is
a reliable and suitable instrument to be used for the accurate measurement of evapotranspiration.
Further, the relationship between vineyard grass water use and the contributing
environmental factors thought to influence water use were analyzed. A strong
relationship between total available radiation and cover crop evapotranspiration was
found suggesting the possibility of an indirect method of evapotranspiration measurement
in a vineyard grass cover crop.
Mowing the cover crop was determined to significantly effect transpiration as shown by
both the mini-lysimeter and open chamber, however, the reduction was largely dependent
on the growth rate of the grass.
Statistical equilibrium of silicon in the atmospheres of metal-poor stars
Creators: name: Shi, J. R.
name: Gehren, T.
name: Mashonkina, L.
name: Zhao, G.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Aims. The statistical equilibrium of neutral and ionized silicon in the atmospheres of metal-poor stars is discussed. Non-local thermodynamic equilibrium effects are investigated and the silicon abundances in metal-poor stars determined. Methods. We have used high resolution, high signal to noise ratio spectra from the UVES spectragraph at the ESO VLT telescope. Line formation calculations of Si i and Si ii in the atmospheres of metal-poor stars are presented for atomic models of silicon including 174 terms and 1132 line transitions. Recent improved calculations of Si i and Si ii photoionization cross-sections are taken into account, and the influence of the free-free quasi-molecular absorption in the Ly alpha wing is investigated by comparing theoretical and observed fluxes of metal-poor stars. All abundance results are derived from LTE and NLTE statistical equilibrium calculations and spectrum synthesis methods. Results. It is found that the extreme ultraviolet radiation is very important for metal-poor stars, especially for the high temperature, very metal-poor stars. The radiative bound-free cross-sections also play a very important role for these stars. Conclusions. NLTE effects for Si are found to be important for metal-poor stars, in particular for warm metal-poor stars. It is found that these effects depend on the temperature. For warm metal-poor stars, the NLTE abundance correction reaches ~ 0.2 dex relative to standard LTE calculations. Our results indicate that Si is overabundant for metal-poor stars.
description: 9 pages, 9 figures, to be published on A&A
Extending Context-Sensitivity in Term Rewriting
Creators: name: Gramlich, Bernhard
name: Schernhammer, Felix
Publisher: name: arXiv
Year: 2010
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences
subject: F.3.1

description: We propose a generalized version of context-sensitivity in term rewriting based on the notion of "forbidden patterns". The basic idea is that a rewrite step should be forbidden if the redex to be contracted has a certain shape and appears in a certain context. This shape and context is expressed through forbidden patterns. In particular we analyze the relationships among this novel approach and the commonly used notion of context-sensitivity in term rewriting, as well as the feasibility of rewriting with forbidden patterns from a computational point of view. The latter feasibility is characterized by demanding that restricting a rewrite relation yields an improved termination behaviour while still being powerful enough to compute meaningful results. Sufficient criteria for both kinds of properties in certain classes of rewrite systems with forbidden patterns are presented.
Additional file 1 of Linking the spatiotemporal distribution of static stress drops to source faults in a fluid-driven earthquake swarm, northeastern Noto Peninsula, central Japan
Creators: name: Fukuoka, Mitsuteru
name: Hiramatsu, Yoshihiro
name: Yamada, Takuji
Publisher: name: figshare
Year: 2024
Subjects: subject: Geophysics
subject: FOS: Earth and related environmental sciences

description: Additional File 1.
360° Optical Flow using Tangent Images
Creators: name: Yuan, Mingze
name: Richardt, Christian
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Omnidirectional 360° images have found many promising and exciting applications in computer vision, robotics and other fields, thanks to their increasing affordability, portability and their 360° field of view. The most common format for storing, processing and visualising 360° images is equirectangular projection (ERP). However, the distortion introduced by the nonlinear mapping from 360° image to ERP image is still a barrier that holds back ERP images from being used as easily as conventional perspective images. This is especially relevant when estimating 360° optical flow, as the distortions need to be mitigated appropriately. In this paper, we propose a 360° optical flow method based on tangent images. Our method leverages gnomonic projection to locally convert ERP images to perspective images, and uniformly samples the ERP image by projection to a cubemap and regular icosahedron vertices, to incrementally refine the estimated 360° flow fields even in the presence of large rotations. Our experiments demonstrate the benefits of our proposed method both quantitatively and qualitatively.
description: The 32nd British Machine Vision Conference (BMVC 2021)
Principal Typings in a Restricted Intersection Type System for Beta Normal Forms with De Bruijn Indices
Creators: name: Ventura, Daniel
name: Ayala-Rincón, Mauricio
name: Kamareddine, Fairouz
Publisher: name: arXiv
Year: 2010
Subjects: subject: Logic in Computer Science (cs.LO)
subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: The lambda-calculus with de Bruijn indices assembles each alpha-class of lambda-terms in a unique term, using indices instead of variable names. Intersection types provide finitary type polymorphism and can characterise normalisable lambda-terms through the property that a term is normalisable if and only if it is typeable. To be closer to computations and to simplify the formalisation of the atomic operations involved in beta-contractions, several calculi of explicit substitution were developed mostly with de Bruijn indices. Versions of explicit substitutions calculi without types and with simple type systems are well investigated in contrast to versions with more elaborate type systems such as intersection types. In previous work, we introduced a de Bruijn version of the lambda-calculus with an intersection type system and proved that it preserves subject reduction, a basic property of type systems. In this paper a version with de Bruijn indices of an intersection type system originally introduced to characterise principal typings for beta-normal forms is presented. We present the characterisation in this new system and the corresponding versions for the type inference and the reconstruction of normal forms from principal typings algorithms. We briefly discuss the failure of the subject reduction property and some possible solutions for it.
title: Securing the Future: Mitigating Cyber Threats in Personal Financial Planning: Planning firm owners must be proactive to secure their firm, protect their clients, and build trust
Creators: name: Casas, C. Augusto
Publisher: name: FPA
Year: 2025

description: Cybersecurity Importance: Financial planning firms must prioritize cybersecurity toprotect sensitive client data and maintain regulatory compliance in an era of escalatingcyber threats. The increasing sophistication of cyberattacks, such as ransomware andphishing, demands a proactive approach to security.? NIST Cybersecurity Framework (CSF): The NIST CSF provides a structured,comprehensive approach for financial planning firms to manage cybersecurity risks. Itencompasses five core functions: Identify, Protect, Detect, Respond, and Recover,ensuring that all aspects of cybersecurity are systematically addressed.? Governance Role: Effective governance is critical in aligning cybersecurity efforts withthe firm's business objectives. It involves setting policies, defining roles andresponsibilities, and establishing accountability. Regular audits, risk assessments, andcontinuous improvement initiatives are essential to adapt to the evolving threatlandscape.? Technological Solutions: Implementing advanced security measures like multi-factorauthentication (MFA), encryption, and continuous monitoring can significantly reducevulnerabilities. These technologies help protect against unauthorized access, securedata, and detect anomalies in real-time.? Human Factors: Cybersecurity training and awareness are crucial in minimizing risksassociated with human error. Regular training programs and phishing simulations helpbuild a culture of security within the firm.? Lessons from the Industry: By learning from past cybersecurity incidents in thefinancial services sector, firms can strengthen their defenses, improve incidentresponse, and build resilience against future threats.
title: Engaging K-12 Learners in Data Annotation for AI Climate Models
Creators: name: MacFerrin, Michael
name: Boyda, Edward
name: Young, Kimberly
name: Namayanja, Josephine
name: Subramanian, Aneesh
name: Mokbel, Mohamed F.
name: Chen, Lujie Karen
name: Janeja, Vandana
Publisher: name: ACM
Year: 2025
Subjects: subject: ai climate models
subject: UMBC Cybersecurity Institute
subject: poster
subject: UMBC Lab for Informatics for Human Flourishing
subject: k-12 learners

description: SIGCSETS 2025: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, Pittsburgh PA USA, 26 February 2025- 1 March 2025
description: Due to the climate crisis, summers in Greenland have been rapidly getting warmer, causing increasing rates of ice melt on the Greenland ice sheet and speeding up sea-level rise. Evidence of this change can be measured by the number and location (elevation) of water pools and lakes that form on the surface of the ice sheet. In addition, crevasses can cause lakes to drain extremely rapidly causing the ice to flow faster, contributing to sea-level rise. However, the lack of annotated data makes it difficult to automatically detect and track these behavioral changes in the polar ice sheet lakes. This study describes how a team of polar and data scientists actively engaged middle and high school students in their classrooms in a data annotation process through an engaging curriculum unit to identify multiple ice sheet phenomena observed in satellite imagery. The findings describe the learning outcomes from both student and teacher perspectives. It also projects learners' understanding and sentiments about climate change and the role of artificial intelligence (AI) models coupled as an extension of citizen science in addressing climate change.
The Physical Properties of Four ~600K T Dwarfs
Creators: name: Leggett, S. K.
name: Cushing, M. C.
name: Saumon, D.
name: Marley, M. S.
name: Roellig, T. L.
name: Warren, S. J.
name: Burningham, B.
name: Jones, H. R. A.
name: Kirkpatrick, J. D.
name: Lodieu, N.
name: Lucas, P. W.
name: Mainzer, A. K.
name: Martin, E. L.
name: McCaughrean, M. J.
name: Pinfield, D. J.
name: Sloan, G. C.
name: Smart, R. L.
name: Tamura, M.
name: Van Cleve, J.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We present Spitzer 7.6-14.5um spectra of ULAS J003402.77-005206.7 and ULAS J133553.45+113005.2, two T9 dwarfs with the latest spectral types currently known. We fit synthetic spectra and photometry to the near- through mid-infrared energy distributions of these dwarfs and that of the T8 dwarf 2MASS J09393548-2448279. We also analyse near-infrared data for another T9, CFBD J005910.82-011401.3. We find that the ratio of the mid- to near-infrared fluxes is very sensitive to effective temperature at these low temperatures, and that the 2.2 and 4.5um fluxes are sensitive to metallicity and gravity; there is a degeneracy between these parameters. The 4.5 and 10um fluxes are also sensitive to vertical transport of gas through the atmosphere, which we find to be significant for these dwarfs. The full near- through mid-infrared spectral energy distribution allows us to constrain the effective temperature (K)/gravity (m/s2)/metallicity ([m/H] dex) of ULAS J0034-00 and ULAS J1335+11 to 550-600/ 100-300/ 0.0-0.3 and 500-550/ 100-300/ 0.0-0.3, respectively. These fits imply low masses and young ages for the dwarfs of 5-20 M(Jup) and 0.1-2 Gyr. The fits to 2MASS J0939-24 are in good agreement with the measured distance, the observational data, and the earlier T8 near-infrared spectral type if it is a slightly metal-poor 4-10 Gyr old system consisting of a 500 and 700K, ~25 and ~40 M(Jup), pair, although it is also possible that it is an identical pair of 600K, 30 M(Jup), dwarfs. As no mid-infrared data are available for CFBD J0059-01 its properties are less well constrained; nevertheless it appears to be a 550-600K dwarf with g= 300-2000 m/s2 and [m/H]= 0-0.3 dex. These properties correspond to mass and age ranges of 10-50 M(Jup) and 0.5-10 Gyr for this dwarf.
description: 26 pages, including 2 Tables and 9 Figures, accepted for publication in Astrophysical Journal
3-D Metamaterials: Trends on Applied Designs, Computational Methods and Fabrication Techniques
Creators: name: Alex-Amor, Antonio
name: Palomares-Caballero, Angel
name: Molero, Carlos
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Metamaterials are artificially engineered devices that go beyond the properties of conventional materials in nature. Metamaterials allow the creation of negative refractive indexes, light trapping with epsilon-near-zero compounds, bandgap selection, superconductivity phenomena, non-Hermitian responses and, more generally, to manipulate the propagation of electromagnetic and acoustic waves. In the past, low computational resources and the lack of proper manufacturing techniques have limited the attention to 1-D and 2-D metamaterials. However, the true potential of metamaterials will be ultimately reached in 3-D configurations, when the degrees of freedom associated to the propagating direction are finally exploited in design. This is expected to lead to a new era in metamaterial field, from which future high-speed and low-latency communication networks can benefit. Here, a comprehensive overview of the past, present and future trends related to 3-D metamaterial devices is presented, focusing on efficient computational methods, innovative designs and functional manufacturing techniques.
description: Published in Electronics (MDPI)
Large Amplitude Oscillations in Prominences
Creators: name: Tripathi, D.
name: Isobe, H.
name: Jain, R.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Since the first reports of oscillations in prominences in 1930s there have been major theoretical and observational advances to understand the nature of these oscillatory phenomena leading to a whole new field of so called "prominence seismology". There are two types of oscillatory phenomena observed in prominences; "small amplitude oscillations" (~2-3 km s$^{-1}$) which are quite common and "large amplitude oscillations" ($>$20 km s$^{-1}$) for which observations are scarce. Large amplitude oscillations have been found as "winking filament" in H$α$ as well as motion in the sky plane in H$α$, EUV, micro-wave and He 10830 observations. Historically, it was suggested that the large amplitude oscillations in prominences were triggered by disturbances such as fast-mode MHD waves (Moreton wave) produced by remote flares. Recent observations show, in addition, that near-by flares or jets can also create such large amplitude oscillations in prominences. Large amplitude oscillations, which are observed both in transverse as well as longitudinal direction, have a range of periods varying from tens of minutes to a couple of hours. Using the observed period of oscillation and simple theoretical models, the obtained magnetic field in prominences has shown quite a good agreement with directly measured one and therefore, justifies prominences seismology as a powerful diagnostic tool. On rare occasions, when the large amplitude oscillations have been observed before or during the eruption, the oscillations may be applied to diagnose the stability and the eruption mechanism. Here we review the recent developments and understanding in the observational properties of large amplitude oscillations and their trigger mechanisms and stability in the context of prominence seismology.
description: 17 pages, 6 figure, accepted in Space Sciences Reviews
title: Polyurethane Nanocapsules Incorporating Epigallocatechin Gallate, A Green Tea Extract
Creators: name: Ale, Temitope
name: Ghunney, Nhyira
name: Pandala, Narendra
name: Tucker, Budd
name: McFadden, Kassandra
name: Hutcheson, Jack
name: Lavik, Erin
Publisher: name: Wiley
Year: 2025
Subjects: subject: nanomaterials
subject: polymers
subject: brain injuries
subject: repairs
subject: regenerations
subject: traumas

description: Explosions cause 79% of combat-related injuries, often leading to traumatic brain injury (TBI) and hemorrhage. Epigallocatechin gallate (EGCG), a green tea polyphenol, aids neuroprotection and wound healing. In this work, we sought to investigate the fabrication and characterization of polyurethane nanocapsules encapsulating EGCG, demonstrating controlled, on-demand release, and highlighting their potential for targeted therapeutic delivery in trauma care.
Additional file 4 of Treatment burden in multimorbidity: an integrative review
Creators: name: Lee, Ji Eun
name: Lee, Jihyang
name: Shin, Rooheui
name: Oh, Oonjee
name: Lee, Kyoung Suk
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Cancer
Science Policy

description: Supplementary file 4.
Force-induced misfolding in RNA
Creators: name: Manosas, M.
name: Junier, I.
name: Ritort, F.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: RNA folding is a kinetic process governed by the competition of a large number of structures stabilized by the transient formation of base pairs that may induce complex folding pathways and the formation of misfolded structures. Despite of its importance in modern biophysics, the current understanding of RNA folding kinetics is limited by the complex interplay between the weak base-pair interactions that stabilize the native structure and the disordering effect of thermal forces. The possibility of mechanically pulling individual molecules offers a new perspective to understand the folding of nucleic acids. Here we investigate the folding and misfolding mechanism in RNA secondary structures pulled by mechanical forces. We introduce a model based on the identification of the minimal set of structures that reproduce the patterns of force-extension curves obtained in single molecule experiments. The model requires only two fitting parameters: the attempt frequency at the level of individual base pairs and a parameter associated to a free energy correction that accounts for the configurational entropy of an exponentially large number of neglected secondary structures. We apply the model to interpret results recently obtained in pulling experiments in the three-helix junction S15 RNA molecule (RNAS15). We show that RNAS15 undergoes force-induced misfolding where force favors the formation of a stable non-native hairpin. The model reproduces the pattern of unfolding and refolding force-extension curves, the distribution of breakage forces and the misfolding probability obtained in the experiments.
description: 28 pages, 11 figures
title: Predicting Students' Interest from Small Group Conversational Characteristics: Insights from an AI Literacy Education with High School Students
Creators: name: Zha, Shenghua
name: Chen, Lujie Karen
name: Hung, Woei
name: Gong, Na
name: Moore, Pamela
name: Klemetsrud, Bethany
Publisher: name: ACM
Year: 2025
Subjects: subject: interest
subject: ai education
subject: UMBC Lab for Informatics for Human Flourishing
subject: high school students

description: SIGCSETS 2025: Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, Pittsburgh PA USA, 26 February 2025- 1 March 2025
description: Recent years have seen developments in AI instructional practices for K-12 students. In literature, students' interest in AI is shown to correlate with gaining AI knowledge; however, little is known about how AI interest manifests in classroom discourses during AI literacy lessons. This study examined students' participation in an integrated AI curriculum delivered to a cognitive science class in a high school in the southern US. Students worked in small groups and built a supervised machine learning model to recognize kids' drawings at different stages of artistic development. Our analysis showed that semantic features extracted from students' small group conversations significantly predicted their interest in learning AI. However, we found no significant relationship between students' social construction of knowledge and their interests. This study sheds light on the relationship between the learning process and interest; when further developed, this analysis may be developed into a classroom activity analytics tool that may provide real-time feedback to teachers engaged in AI literacy education to enhance teaching effectiveness in this nascent content area.
Off-shell Supersymmetric Continuous Spin Gauge Theory
Creators: name: Najafizadeh, Mojtaba
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We construct, for the first time, an off-shell supersymmetric continuous spin gauge theory in 4-dimensional Minkowski spacetime, in both constrained and unconstrained Lagrangian formulations. As an extension to the on-shell description [1], we employ an auxiliary field to close the algebra of supersymmetry transformations off-shell. The 4d $\mathcal{N}=1$ massless continuous spin supermultiplet is then denoted by $(\mathrmΦ, \mathrm{H} \,; \mathrmΨ)$, comprised of a dynamical and a non-dynamical complex scalar continuous spin gauge fields $\mathrmΦ$ and $\mathrm{H}$, as well as a Dirac continuous spin gauge field $\mathrmΨ$. In particular, we demonstrate that the off-shell continuous spin supermultiplet, in a limit, reproduces off-shell supersymmetry transformations of the known scalar supermultiplet $(\,{\scriptstyle 0}\,,\, {\scriptstyle 1/2}\,)$, all integer-spin supermultiplets $(\,s\,,\, s\, {\scriptstyle +\, 1/2}\,),\, s\geqslant1$, and all half-integer spin supermultiplets $(\, s\, {\scriptstyle -\, 1/2}\,,\, s \,\,),\, s\geqslant1$.
description: 32 pages, 3 figures, 1 table; v2: two references added, accepted version in JHEP
Escodamè. Il ventennio futurista di Michele Leskovic
Creators: name: Miretti, Lorenza <1966>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2010
Subjects: L-FIL-LET/10 Letteratura italiana

description: La  ricerca verte sull’udinese Michele Leskovic (1905-1979), noto con lo pseudonimo di Escodamè, attivo in campo futurista dal 1920 fino alla fine degli anni Trenta. 
Il lavoro ricostruisce il periodo futurista di Leskovic utilizzando sia documentazione edita sia inedita rintracciata presso numerose Biblioteche ed Archivi pubblici e privati italiani e presso la Beinecke Rare Book and Manuscript Library dell’Università di Yale. 
Tra gli inediti utilizzati, numerosi quelli provenienti dall’archivio privato di Michele Leskovic conservato presso «Casa Lyda Borelli per Operatori ed Artisti dello Spettacolo» di Bologna dove Leskovic visse dal 1970 alla morte insieme alla moglie, l’attrice Camilla Orlandini (1896-1975).
Sono qui analizzate tutte le attività svolte dal futurista udinese sia in maniera estemporanea sia continuativa ed approfondita. Particolare attenzione è rivolta alle ricerche condotte in tre campi specifici: la poetica, la poesia ed il teatro, nei quali Leskovic ha raggiunto risultati di indubbio interesse ed originalità.  
I testi pubblicati da Leskovic da un lato sono stati collazionati con sue stesse carte inedite (spesso abbozzi preparatori) e dall’altro arricchiti nel confronto con le opere di altri membri del movimento futurista e soprattutto con Marinetti, del quale Leskovic risulta essere stato attivo collaboratore.
title: A Decentralized, Secure, and Reliable Vehicle Platoon Formation With Privacy Protection for Autonomous Vehicles
Creators: name: Khan, Rabia
name: Mehmood, Amjad
name: Song, Houbing
name: Maple, Carsten
Publisher: name: IEEE
Year: 2025
Subjects: subject: impersonation
subject: Electronic mail
subject: Blockchains
subject: Aggregates
subject: Cyberattack
subject: Vehicle dynamics
subject: CAVs
subject: Security
subject: UMBC Security and Optimization for Networked Globe Laboratory (SONG Lab)
subject: Reliability
subject: Authentication
subject: Privacy
subject: Vehicle platoon
subject: DDoS
subject: permissioned blockchain
subject: zk-SNARK
subject: Autonomous vehicles

description: Vehicle platooning enables vehicles to drive cooperatively on highways and motorways. This is to weigh numerous benefits such as lesser fuel consumption, safe drive and better road utilization. The main research focus of vehicle platoons is secure and dynamic platoon formation and ensuring privacy of vehicular data. Platoons are not safe from cyber-attacks and key is to safeguard the platoons from different known/unknown cyber threats. This paper introduces a dynamic and secure platoon formation technique targeting three different vehicle conditions on road. While the private credentials of CAVs is protected using zk-SNARK encryption protocol through permissioned Blockchain. The proposed system has been evaluated for its performance against DDoS and impersonation attack. Platoon formation time has been compared with other benchmarks and shows better results. While the performance against DDoS and impersonation attacks in comparison to the benchmarks is also improved. Since the limitation of zk-SNARK is it takes time to generate a proof and this has been also the focus of this study. The protocol has been fine tuned to adjust its parameters so that it could generate proof in less possible time.
Transforming to Lorentz Gauge on de Sitter
Creators: name: Miao, S. P.
name: Tsamis, N. C.
name: Woodard, R. P.
Publisher: name: arXiv
Year: 2009
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We demonstrate that certain gauge fixing functionals cannot be added to the action on backgrounds such as de Sitter in which a linearization instability is present. We also construct the field dependent gauge transformation which carries the electromagnetic vector potential from a convenient, non-de Sitter invariant gauge to the de Sitter invariant, Lorentz gauge. The transformed propagator agrees with the de Sitter invariant result previously found by solving the propagator equation in Lorentz gauge. This shows that the gauge transformation technique will eliminate unphysical breaking of de Sitter invariance introduced by a gauge condition. It is suggested that the same technique can be used to finally resolve the issue of whether or not free gravitons are de Sitter invariant.
description: 45 pages
Mass-transport deposits on Mediterranean continental margins
Creators: name: Minisini, Daniel <1978>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2007
Subjects: GEO/02 Geologia stratigrafica e sedimentologica

description: Extensive mass transport deposits and multiple slide scars testify widespread and recurrent submarine sediment failures occurring during the late Quaternary on the SW-Adriatic and SE-Sicilian margins. These mass movements and their consequences contributed to shape the continental slopes and fill the basins with characteristic signatures. Geomorphological, seismo-stratigraphic, sedimentological and
biostratigraphic data provide clues to: 1) define distinct failure mechanisms investigating on factors that determine dissimilar organization of coeval displaced masses, 2) reconstruct successive phases of failure stressing on the same location where slide scars crosscut and mass-transport deposits overlap, 3) analyze regional setting and indicate the most suitable place where to calculate mass wasting
frequency. Discussions on the role of fluid flow, currents activity and tectonic deformation determine a wider view on the construction of the studied continental margins.
Analytic continuation in QCD-like theories at finite density and finite isospin
Creators: name: Cea, P.
name: Cosmai, L.
name: D'Elia, M.
name: Papa, A.
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: The method of analytic continuation is one of the most powerful tools to circumvent the sign problem in lattice QCD. The present study is part of a larger project which, based on the investigation of QCD-like theories which are free of the sign problem, is aimed at testing the validity of the method of analytic continuation and at improving its predictivity, in view of its application to real QCD. We have shown that a considerable improvement can be achieved if suitable functions are used to interpolate data with imaginary chemical potential. We present results obtained in a theory free of the sign problem such as two-color QCD at finite chemical potential.
description: 8 pages, 6 figures, Contribution to The XXVII International Symposium on Lattice Field Theory, Beijing, July 25-31, 2009
Gender equality and human development in Macedonia during transition (1991-2006)
Creators: name: Stojanoska, Dominika <1976>
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2008
Subjects: M-STO/03 Storia dell'Europa orientale

description: The present thesis treats the issue of gender equality in Macedonia during the period of transition
from the socialist system to the one of parliamentary democracy. The main aim is to mainstream the
gender perspective in the analysis of the transitional policies through the examination of the basic
citizenship rights to which citizens are entitled and by the means of the evaluation of their
capabilities to exercise these rights. Gender equality, as one of the main strongholds of the concept
of human development is measured through the application of nine gender relevant capabilities in a
Case study conducted within selected municipalities in the country. Through the analysis of the
Macedonian constitutional and legal framework and the assessment of gender based inequalities,
the research questions the need for the enactment of a process of engendering of citizenship, which
would integrate gender based differences, contemplate the private sphere of citizens lives and
pledge participation in the political life of the country. The thesis, finally, analyses the gender
equality strategy of the Macedonian government with the purpose to evaluate whether it is context
based, i.e. it tackles the main fields where inequalities emerge and in this context whether it
envisages a process of engendering of citizenship.
title: Gender Dynamics in Software Engineering: Insights from Research on Concurrency Bug Reproduction
Creators: name: Zaman, Tarannum Shaila
name: Kishan, Macharla Hemanth
name: Lota, Lutfun Nahar
Publisher: name: Maryland Shared Open Access Repository
Year: 2025
Subjects: subject: Computer Science
subject: Gender Dynamics
subject: Software Engineering

description: Reproducing concurrency bugs is a complex task due to their unpredictable behavior. Researchers, regardless of gender, are contributing to automating this complex task to aid software developers. While some studies have investigated gender roles in the broader software industry, limited research exists on gender representation specifically among researchers working in concurrent bug reproduction. To address this gap, in this paper, we present a literature review to assess the gender ratio in this field. We also explore potential variations in technique selection and bug-type focus across genders. Our findings indicate that female researchers are underrepresented compared to their male counterparts in this area, with a current male-to-female author ratio of 29:6. Through this study, we emphasize the importance of fostering gender equity in software engineering research, ensuring a diversity of perspectives in the development of automated bug reproduction tools.
Phishing Detection Using Machine Learning Overview and Significance
Creators: name: K, Jaisreeharini
name: Priya S, Vishnu
Publisher: name: Zenodo
Year: 2025

description: Phishing attacks have become a major cybersecurity threat, exploiting human vulnerabilities to steal sensitive information. Traditional detection methods often rely on rule-based systems and blacklists, which struggle to keep up with evolving phishing techniques. To address this, our project leverages deep learning models—Recurrent Neural Networks (RNNs) and Transformers—to develop a robust phishing detection system capable of identifying legitimate and malicious URLs with high accuracy. Our approach analyzes both static URL features (such as domain structure and character patterns) and dynamic contextual information extracted from website content. By combining sequential learning capabilities of RNNs with the attention mechanisms of Transformers, we aim to improve phishing detection beyond conventional techniques. The proposed system can assist cybersecurity frameworks in preventing phishing attacks and can be extended to detect phishing attempts in emails, text messages, and other online platforms.
ОБОЛОЧКИ ГОЛОВНОГО МОЗГА МЕНИНГИТ
Creators: name: Нурбоева Гулибону Собиржон кизи студент Ташкентский государственный стоматологический  институт (ТГСИ) Министерство здравоохранения Республики Узбекистан г.Ташкент
name: Научный руководитель:Хайдарова Барно Исраилжановна Старший преподаватель кафедры анатомии Ташкентский государственный стоматологический институт (ТГСИ) Министерство здравоохранения республики Узбекистан г.Ташкент
Publisher: name: Zenodo
Year: 2023

description: Топография и характеристика оболочек головного мозга Защитную функцию для структур центральной нервной системы (ЦНС) выполняют оболочки мозга и спинномозговая жидкость.

К оболочкам мозга относят прочную твердую мозговую оболочку, или пахименинкс (греч. pachymeninx—толстая обо-лочка),и лептоменинкс (греч. leptomeninges—тонкие оболочки), представленный паутинной мозговой оболочкой и мягкой мозговой оболочкой. Между паутинной и мягкой оболочками мозга расположено субарахноидальное (подпаутинное) пространство, заполненное спинномозговой жидкостью. а) Твердая мозговая оболочка. В различных источниках можно встретить разное описание твердой мозговой оболочки. Твердая мозговая оболочка представляет собой толстый слой фиброзной ткани.
Experimental Studies of Antenna Miniaturization Using Magneto-Dielectric and Dielectric Materials
Creators: name: Karilainen, Antti O.
name: Ikonen, Pekka M. T.
name: Simovski, Constantin R.
name: Tretyakov, Sergei A.
name: Lagarkov, Andrey N.
name: Maklakov, Sergei A.
name: Rozanov, Konstantin N.
name: Starostenko, Sergey N.
Publisher: name: arXiv
Year: 2009
Subjects: subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: Measurement results for a meandered planar inverted-F antenna (PIFA) loaded with magneto-dielectric and dielectric materials are presented. Figures of merit and ways to compare antennas with different fillings materials are discussed. The used magneto-dielectric material is described, the radiation mechanism of the meandered PIFA is studied, and the proper position for dielectric and magneto-dielectric filling is discussed and identified. Identical-size antennas with dielectric and magneto-dielectric fillings are compared at the same resonance frequency using the radiation quality factor as the figure of merit. It is seen, that the benefit from the magneto-dielectric filling material is moderate and strongly dependent on the positioning of the filling.
description: 21 pages, 11 figures
Additional file 1 of Whole genome sequencing and characterization of Corynebacterium isolated from the healthy and dry eye ocular surface
Creators: name: Naqvi, Maria
name: Utheim, Tor P.
name: Charnock, Colin
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1. Whole genome sequencing and characterization of Corynebacterium isolated from the ocular surface of dry eye disease sufferers.
title: LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem Solving
Creators: name: Hossain, Md Sifat
name: Tabassum, Anika
name: Arefin, Md Fahim
name: Zaman, Tarannum Shaila
Publisher: name: Maryland Shared Open Access Repository
Year: 2025
Subjects: subject: ICPC
subject: Chain-of-Thought Reasoning
subject: Artificial Intelligence
subject: Competitive Programming
subject: Computer Science
subject: Computation and Language
subject: Large Language Models
subject: Performance Evaluation

description: LLM4Code 2025: The Second International Workshop on Large Language Models for Code
description: The rapid advancement of large language models has opened new avenues for automating complex problem-solving tasks such as algorithmic coding and competitive programming. This paper introduces a novel evaluation technique, LLM-ProS, to assess the performance of state-of-the-art LLMs on International Collegiate Programming Contest (ICPC) problems. Using a curated dataset of 166 World Finals problems from 2011 to 2024, we benchmark the models' reasoning, accuracy, and efficiency. We evaluate the five models-GPT-4o, Mistral Large, Llama-3.1-405B, and the o1 family, consisting of o1-mini and o1-preview, across critical metrics like correctness, resource utilization, and response calibration. Our results reveal significant differences in the models' abilities to generalize, adapt, and solve novel problems. We also investigated the impact of training methodologies, dataset contamination, and chain-of-thought reasoning on model performance. The findings provide new insights into optimizing LLMs for algorithmic tasks, highlighting both strengths and limitations of current models.
Implications of the conformal Higgs model
Creators: name: Nesbet, R. K.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The postulate of universal local Weyl scaling (conformal) symmetry modifies both general relativity and the Higgs scalar field model. The conformal Higgs model (CHM) acquires a cosmological effect that fits observed accelerating Hubble expansion for redshifts $z\leq 1$ (7.33 Gyr) accurately with only one free constant parameter. Conformal gravity (CG) has recently been fitted to anomalous rotation data for 138 galaxies. Conformal theory explains dark energy and does not require dark matter, providing a viable alternative to the $Λ$CDM standard paradigm. The theory precludes a massive Higgs particle but validates a composite gauge field $W_2$ with mass 125GeV.
description: 6pages Published online MDPI Particles Vol 5, p 12 (2022)
title: Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
Creators: name: Kaur, Khushdeep
name: Kim, Dongchan
name: Jamshidi, Ainaz
name: Zhang, Lei
Publisher: name: Maryland Shared Open Access Repository
Year: 2025
Subjects: subject: Computer Science - Software Engineering
subject: UMBC Emerging Software Technologies Lab
subject: Computer Science - Machine Learning

description: Testing and debugging quantum software pose significant challenges due to the inherent complexities of quantum mechanics, such as superposition and entanglement. One challenge is indeterminacy, a fundamental characteristic of quantum systems, which increases the likelihood of flaky tests in quantum programs. To the best of our knowledge, there is a lack of comprehensive studies on quantum flakiness in the existing literature. In this paper, we present a novel machine learning platform that leverages multiple machine learning models to automatically detect flaky tests in quantum programs. Our evaluation shows that the extreme gradient boosting and decision tree-based models outperform other models (i.e., random forest, k-nearest neighbors, and support vector machine), achieving the highest F1 score and Matthews Correlation Coefficient in a balanced dataset and an imbalanced dataset, respectively. Furthermore, we expand the currently limited dataset for researchers interested in quantum flaky tests. In the future, we plan to explore the development of unsupervised learning techniques to detect and classify quantum flaky tests more effectively. These advancements aim to improve the reliability and robustness of quantum software testing.
title: Advancing climate model interpretability: Feature attribution for Arctic melt anomalies
Creators: name: Ale, Tolulope
name: Schlegel, Nicole-Jeanne
name: Janeja, Vandana
Publisher: name: Maryland Shared Open Access Repository
Year: 2025
Subjects: subject: UMBC Cybersecurity Institute
subject: Computer Science - Machine Learning

description: The focus of our work is improving the interpretability of anomalies in climate models and advancing our understanding of Arctic melt dynamics. The Arctic and Antarctic ice sheets are experiencing rapid surface melting and increased freshwater runoff, contributing significantly to global sea level rise. Understanding the mechanisms driving snowmelt in these regions is crucial. ERA5, a widely used reanalysis dataset in polar climate studies, offers extensive climate variables and global data assimilation. However, its snowmelt model employs an energy imbalance approach that may oversimplify the complexity of surface melt. In contrast, the Glacier Energy and Mass Balance (GEMB) model incorporates additional physical processes, such as snow accumulation, firn densification, and meltwater percolation/refreezing, providing a more detailed representation of surface melt dynamics. In this research, we focus on analyzing surface snowmelt dynamics of the Greenland Ice Sheet using feature attribution for anomalous melt events in ERA5 and GEMB models. We present a novel unsupervised attribution method leveraging counterfactual explanation method to analyze detected anomalies in ERA5 and GEMB. Our anomaly detection results are validated using MEaSUREs ground-truth data, and the attributions are evaluated against established feature ranking methods, including XGBoost, Shapley values, and Random Forest. Our attribution framework identifies the physics behind each model and the climate features driving melt anomalies. These findings demonstrate the utility of our attribution method in enhancing the interpretability of anomalies in climate models and advancing our understanding of Arctic melt dynamics.
title: Decoding the Privacy Policies of Assistive Technologies
Creators: name: Crawford, Kirk
name: Khoo, Yi Xuan
name: Kumar, Asha
name: Mentis, Helena
name: Hamidi, Foad
Publisher: name: ACM
Year: 2024
Subjects: subject: UMBC Human-Centered Computing Program
subject: UMBC Cybersecurity Institute
subject: UMBC Behavior and Information in Medicine Lab

description: W4A '24: Proceedings of the 21st International Web for All Conference, Singapore, May 13 - 14, 2024
description: As assistive technologies (ATs) have evolved, they have become increasingly connected. However, these increasing connections pose significant privacy challenges, especially when user privacy is described using complex privacy policies. Our study decodes the privacy policies of 18 ATs to understand how data collection and processing are communicated with users. We find that (1) AT privacy policies are structured to offer legal protections to their companies and not always to protect user privacy, (2) AT privacy policies are absent protections for individuals with disabilities, (3) AT policies are inconsistent when describing data storage, handling, and security methods, (4) AT policies often do not differentiate between essential and non-essential data collection, and (5) there is often a lack of transparency in AT policies around third-party data sharing. These findings reveal that AT privacy policies overlook and underestimate a user?s acceptable privacy risks. We conclude our study by discussing AT design implications.