cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Triphysa nervosa subsp. tuvinica Dubatolov, Korb et Yakovlev 2023, ssp. n.
Creators: name: Dubatolov, Vladimir V.
name: Korb, Stanislav K.
name: Yakovlev, Roman V.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Nymphalidae
Triphysa
Triphysa nervosa
Triphysa nervosa tuvinica dubatolov, korb et yakovlev

description: Triphysa nervosa tuvinica Dubatolov, Korb et Yakovlev, ssp. n.
https://zoobank.org/ urn:lsid:zoobank.org:act: 321169E2-7F52-4447-8487-066E4AF1CDD7
Figs. 3a–h, 6a, 12, 26.
 Description. Male. Forewing length 19–20 mm, wings are dark with light and bright wide border and fringes. On the hindwing upperside, the discal cell is highlighted on veins by thin light stripes. Forewing underside with cubital spots much larger than other postdiscal spots (very different size). Hindwing upperside has well pronounced spots of almost equal size. The light pattern on wings’ upperside is well developed. Female. Forewing length 20 mm, wings’ upperside light yellow, light pattern on the wings’ underside well developed, wings with “colourful” appearance.
 Diagnosis. This subspecies is much larger than ssp. glacialis O.B.-H. and other related subspecies. White edging on the wings’ upperside is rather wide. Discal cell on hindwing highlighted by thin light stripes. Apical bordering of the central cell in the wings often delineated by bright color. Cubital eyespots on the forewing underside are much larger than the others, all postdiscal spots are without white centers. Light bordering of veins is very clear. Upperside pattern is very mottled.
 Material examined. Holotype. Male, N. Tuva, near Kyzyl, Tuge Mt., 1-VI-2010, R. & A. Yakovlev (ISEA). Paratypes. 6 males, 5 females, Tuva, Kyzyl, B. Enisei river, Byi-Khem, 11-18-V-1998, leg. Vashenko (SCR); 3 males, N. Tuva, near Kyzyl, 9-V-2002, V. Ivonin (RYB); 28 males, 11 females, N. Tuva, near Kyzyl, Tuge Mt., 1-VI-2010, R. & A. Yakovlev (RYB); 14 males, 10 females, N. Tuva, near Shagonar, Khajyrakan Mt., 5-VI-2010, R. & A. Yakovlev (RYB); 3 males, 1 female, near Kyzyl, right bank of Enisei river, 20-V-1989, leg. V. Zinchenko (ISEAN); 2 males, near Kyzyl, mountain at Ulug-Khem river, 17-V-1990, leg. V. Dubatolov & V. Zinchenko (ISEAN); 1 male, 1 female, Tuva, Bii-Khem distr., Ust’ -Uyuk, 21- V-1989, leg. V. Zinchenko (ISEAN); 1 male, 1 female, Tuva, Ust’-Khem distr., 25 km SE Shagonar, Chaaty riv., 8-V-1990, leg. V. Zinchenko (ISEAN); 1 female, Tuva, Ust’-Khem distr., 15 km S Shagonar, Chilakty, 10-V-1990, leg. V. Zinchenko (ISEAN); 2 males, Khovu-Aksy, Elegest river, 5-VI-1990, leg. V. Zinchenko (ISEAN); 1 male, Tuva, 6 km S Targalyk, 9-V-1990, leg. V. Zinchenko (ISEAN).
 Distribution. Northern and Central Tuva (steppes and semi deserts).
description: Published as part of Dubatolov, Vladimir V., Korb, Stanislav K. & Yakovlev, Roman V., 2023, A review of the genus Triphysa Zeller, 1858 (Lepidoptera, Satyridae), pp. 88-123 in Ecologica Montenegrina 61 on page 106, DOI: 10.37828/em.2023.61.9, http://zenodo.org/record/13246732
Non-Stationary Difference Equation and Affine Laumon Space II: Quantum Knizhnik-Zamolodchikov Equation
Creators: name: Awata, Hidetoshi
name: Hasegawa, Koji
name: Kanno, Hiroaki
name: Ohkawa, Ryo
name: Shakirov, Shamil
name: Shiraishi, Jun'ichi
name: Yamada, Yasuhiko
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Algebra (math.QA)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We show that Shakirov's non-stationary difference equation, when it is truncated, implies the quantum Knizhnik-Zamolodchikov ($q$-KZ) equation for $U_{\mathsf v}\bigl(A_1^{(1)}\bigr)$ with generic spins. Namely, we can tune mass parameters so that the Hamiltonian acts on the space of finite Laurent polynomials. Then the representation matrix of the Hamiltonian agrees with the $R$-matrix, or the quantum $6j$ symbols. On the other hand, we prove that the $K$ theoretic Nekrasov partition function from the affine Laumon space is identified with the well-studied Jackson integral solution to the $q$-KZ equation. Combining these results, we establish that the affine Laumon partition function gives a solution to Shakirov's equation, which was a conjecture in our previous paper. We also work out the base-fiber duality and four-dimensional limit in relation with the $q$-KZ equation.
Poisson approximation for large permutation groups
Creators: name: Diaconis, Persi
name: Tung, Nathan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Probability (math.PR)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: Let $G_{k,n}$ be a group of permutations of $kn$ objects which permutes things independently in disjoint blocks of size $k$ and then permutes the blocks. We investigate the probabilistic and/or enumerative aspects of random elements of $G_{k,n}$. This includes novel limit theorems for fixed points, cycles of various lengths, number of cycles and inversions. The limits are compound Poisson distributions with interesting dependence structure.
description: 23 pages, no figures. Final published version
Computer Optimized Design for Transport Network Management
Creators: name: Ghosh, Arka
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Computer Optimized Design
subject: Transport Network Management
subject: Generation of Transport Policy
subject: Artificial intelligence
subject: Consensus Reaching Mechanisms
subject: Transport Simulation
subject: Transport Modelling

description: The presentation was delivered at an ECTRI Thematic Group webinar on Traffic Management & Modelling hosted an enlightening webinar featuring innovative research and solutions in the field of traffic management.
Dairying regions in Victoria: Risk profiles using historical data and @RISK®
Creators: name: Godfrey, Sosheel
name: Nordblom, Thomas
name: Ip, Ryan
name: Hutchings, Timothy
name: Godfrey, Sosheel
name: Nordblom, Thomas
name: Ip, Ryan
name: Hutchings, Timothy
Publisher: name: Unknown
Year: 2020
Subjects: subject: Farm Management
subject: Dairy
subject: Risk
subject: Farm financial planning

description: The paper asks, “What comparisons of farm financial risk characterise the key Victorian dairy regions over the past 13 years?” The dairy industry is the 3rd largest rural industry in Australia. The dairy farmers, though, are facing a continuous cost price squeeze amid a challenging global environment that suppresses milk prices and raises feed costs in the face of drier and hotter weather conditions. For this analysis, we focused on three key Victorian dairy regions, namely North (N), Gippsland (G) and South West (SW) which have a combined share of 67% in Australia's milk production. We analysed the financial risks of these regions based on a representative farm from each region. Balance sheet, profit and loss budget and cash flow were integrated to create a probabilistic model using Palisade’s @RISK version 7.6. The variability in historical inputs of dairy prices, quantities and costs for thirteen years from 2006-07 to 2018-19 in Victorian dairy regions was captured using a multivariate copula in @RISK. We, thus, generated decadal (10-year) distributions of profit and loss budgets, balance sheets and cash flows to simulate risks with one hundred thousand iterations under Monte Carlo method. The simulation showed that the net farm income was positive 55, 70 and 80 percent of decades respectively for farms in North, Gippsland and South West regions. Sensitivity analysis of the variable components of income, production and cost and their contributions to variance in net farm income showed that the price of milk was the largest source of variation in net farm income for all regions. Variations in feed costs were greatest in the North region compared to the other two. At the close of a decade (year 10), South West region outperformed on all accounts, including debt repayments, building/retaining equity, return of capital (ROC) and return on investment (ROE) and, thus, appeared the most viable for dairying. The business and financial risk for dairy farms based on variability in production, prices and costs was captured in this analysis by using historical data. We extended its usefulness through @RISK by illuminating their recent probabilistic risk profiles. The method allowed us to summarise the long-term portfolios of farm net profits, debt management and key performance indicators of ROC and ROE. There is a need to extend this analysis to capture the shortages and rising costs of water, particularly in the Northern region.
Evolution of the Dust Trail of Comet 17P/Holmes
Creators: name: Gritsevich, Maria
name: Nissinen, Markku
name: Oksanen, Arto
name: Suomela, Jari
name: Silber, Elizabeth A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The massive outburst of the comet 17P/Holmes in October 2007 is the largest known outburst by a comet thus far. We present a new comprehensive model describing the evolution of the dust trail produced in this phenomenon. The model comprises of multiparticle Monte Carlo approach including the solar radiation pressure effects, gravitational disturbance caused by Venus, Earth and Moon, Mars, Jupiter and Saturn, and gravitational interaction of the dust particles with the parent comet itself. Good accuracy of computations is achieved by its implementation in Orekit, which executes Dormad-Prince numerical integration methods with higher precision. We demonstrate performance of the model by simulating particle populations with sizes from 0.001 mm to 1 mm with corresponding spherically symmetric ejection speed distribution, and towards the Sun outburst modelling. The model is supplemented with and validated against the observations of the dust trail in common nodes for 0.5 and 1 revolutions. In all cases, the predicted trail position showed a good match to the observations. Additionally, the hourglass pattern of the trail was observed for the first time within this work. By using variations of the outburst model in our simulations, we determine that the assumption of the spherical symmetry of the ejected particles leads to the scenario compatible with the observed hourglass pattern. Using these data, we make predictions for the two-revolution dust trail behavior near the outburst point that should be detectable by using ground-based telescopes in 2022.
description: 70 pages, 29 main figures, open access in MNRAS
Mean-chiral displacement in coherently driven photonic lattices and its application to synthetic frequency dimensions
Creators: name: Villa, Greta
name: Carusotto, Iacopo
name: Ozawa, Tomoki
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Characterizing topologically nontrivial photonic lattices by measuring their topological invariants is crucial in topological photonics. In conservative one-dimensional systems, a widely used observable to extract the winding number is the mean-chiral displacement. In many realistic photonic systems, however, losses can hardly be avoided, and little is known on how one can extend the mean-chiral displacement to a driven-dissipative context. Here we theoretically propose an experimentally viable method to directly detect the topological winding number of one-dimensional chiral photonic lattices. The method we propose is a generalization of the mean-chiral displacement to a driven-dissipative context with coherent illumination. By integrating the mean-chiral displacement of the steady state over the pump light frequency, one can obtain the winding number with a correction of the order of the loss rate squared. We demonstrate that this method can be successfully applied to lattices along synthetic frequency dimensions.
description: 10 pages, 5 figures
Triphysa nervosa subsp. arturi Dubatolov, Korb & Yakovlev 2023, ssp. n.
Creators: name: Dubatolov, Vladimir V.
name: Korb, Stanislav K.
name: Yakovlev, Roman V.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Nymphalidae
Triphysa
Triphysa nervosa
Triphysa nervosa arturi dubatolov, korb & yakovlev

description: Triphysa nervosa arturi Dubatolov, Korb & Yakovlev, ssp. n.
https://zoobank.org/ urn:lsid:zoobank.org:act: A9A360D0-F138-4D02-A80C-FAA7D298BF4C
Figs. 3i–p, 6a, 13, 27.
 Description. Male. Forewing length 15–16 mm. Wings dark with white fringes and wide light border along the marginal and costal (fore wing) borders. Central cell with white veins. Underside with greatly reduced postdiscal spots. Female. Forewing length 15–16 mm. Upperside white. Underside with strongly reduced eyespots. Forewing underside in its angle with expressed lighting.
 Diagnosis. This new subspecies (as far as kobdoensis) is an intermediate taxon between the groups glacialis and biocellata. Specimen are very small, males with wide white bordering on the wing upperside (the bordering often extends to the costal area), in the central cell white veins are visible (as in the previous subspecies, which is larger and with larger postdiscal eyespots). Postdiscal eyespots on the underside are reduced, but the quite large cubital spots on the forewings can remain; they are always without white centers. Underside always with contrasting bright veins. Female has brightening on the forewing underside in the anal angle.
 Etymology. New subspecies named after Artur Yakovlev, son of the third author, who helped to collect a part of the type series.
 Material examined. Holotype. Male, S. Tuva, 15 km WSW Erzin, 24-V-1990, V. Dubatolov (ISEA). Paratypes. 1 male, 5 females, S. Tuva, 15 km WSW Erzin, 24-V-1990, V. Dubatolov (ISEA); 3 males, near Erzin, 20-V-2001. V. Ivonin (RYB); 13 males, 9 females, near Erzin, 4-VI-2010, R. & A. Yakovlev (RYB); 2 females, S. Tuva, Erzin distr., Mt. Onchalaan, 28-VI-1989, leg. V. Zinchenko (ISEAN); 1 female, same locality, 24-V-1990 (ISEAN); 1 male, 1 female, S. Tuva, 15 km W Erzin, 1-VI-1989, leg. V. Zinchenko (ISEAN); 2 males, 4 females, S. Tuva, Erzin distr., near Mts. Onchalaan and Sook-Toj, 24-VI-1990, leg. V. Zinchenko (ISEAN).
 Distribution: Russia, S. Tuva (Ubsunur Valley).
description: Published as part of Dubatolov, Vladimir V., Korb, Stanislav K. & Yakovlev, Roman V., 2023, A review of the genus Triphysa Zeller, 1858 (Lepidoptera, Satyridae), pp. 88-123 in Ecologica Montenegrina 61 on pages 106-113, DOI: 10.37828/em.2023.61.9, http://zenodo.org/record/13246732
Superconductivity with Tc 116K discovered in antimony polyhydrides
Creators: name: Lu, K.
name: He, X.
name: Zhang, C. L.
name: Li, Z. W.
name: Zhang, S. J.
name: Min, B. S.
name: Zhang, J.
name: Zhao, J. F.
name: Shi, L. C.
name: Peng, Y.
name: Feng, S. M.
name: Liu, Q. Q.
name: Song, J.
name: Yu, R. C.
name: Wang, X. C.
name: Wang, Y.
name: Bykov, M.
name: Jin, C. Q.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Superconductivity (SC) was experimentally observed for the first time in antimony polyhydride. The diamond anvil cell combined with laser heating system was used to synthesize the antimony polyhydride sample at high pressure and high temperature conditions. In-situ high pressure transport measurements as function of temperature with applied magnet are performed to study the SC properties. It was found that the antimony polyhydride samples show superconducting transition with critical temperature Tc 116 K at 184 GPa. The investigation of SC at magnetic field revealed that the superconducting coherent length ~40 angstroms based on Ginzburg Landau (GL) equation. Antimony polyhydride superconductor has the second highest Tc in addition to sulfur hydride among the polyhydrides of elements from main group IIIA to VIIA in periodic table.
Cosmological sudden singularities in $f(R,T)$ gravity
Creators: name: Gonçalves, Tiago B.
name: Rosa, João Luís
name: Lobo, Francisco S. N.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this work, we study the possibility of finite-time future cosmological singularities appearing in $f(R,T)$ gravity, where $R$ is the Ricci scalar and $T$ is the trace of the stress-energy tensor. We present the theory in both the geometrical and the dynamically equivalent scalar-tensor representation and obtain the respective equations of motion. In a background Friedmann-Lemaître-Robertson-Walker (FLRW) universe with an arbitrary curvature and for a generic $C^\infty$ function $f(R,T)$, we prove that the conservation of the stress-energy tensor prevents the appearance of sudden singularities in the cosmological context at any order in the time-derivatives of the scale factor. However, if this assumption is dropped, the theory allows for sudden singularities to appear at the level of the third time-derivative of the scale factor $a(t)$, which are compensated by divergences in either the first time-derivatives of the energy density $ρ(t)$ or the isotropic pressure $p(t)$. For these cases, we introduce a cosmological model featuring a sudden singularity that is consistent with the current measurements for the cosmological parameters, namely, the Hubble constant, deceleration parameter, and age of the universe, and provide predictions for the still unmeasured jerk and snap parameters. Finally, we analyse the constraints on a particular model of the function $f(R,T)$ that guarantees that the system evolves in a direction favorable to the energy conditions at the divergence time.
description: 14 pages, 4 figures; v2: Matches published version in EPJC
LUGʻAT TUZISH:  KONSEPTUAL MODEL, BOSQICHLAR, FUNKSIONALLASHTIRISH
Creators: name: Omonov, Muhammadaziz
Publisher: name: Zenodo
Year: 2024

description: Ushbu maqolada lug‘at tuzish bosqichlari, lug‘at uchun ma’lumot manbalarini qayta ishlash; dastlabki faylni tayyorlash; lug‘at loyihasini tayyorlash (tuzuvchilar uchun ko‘rsatmalar); lug‘at yozish va tahrirlash; kitobni terish, joylash va nashr etish; keyingi nashrlar uchun qo‘shimchalar kiritish, xatolarni tuzatish kabi masalalar yoritilgan. Lug‘at ko‘p qirrali mustaqil tizim sifatida ko‘plab ichki havolalarga, mikro va makro darajalarga ega.
Simulating the Transverse Field Ising Model on the Kagome Lattice using a Programmable Quantum Annealer
Creators: name: Narasimhan, Pratyankara
name: Humeniuk, Stephan
name: Roy, Ananda
name: Drouin-Touchette, Victor
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The presence of competing interactions due to geometry leads to frustration in quantum spin models. As a consequence, the ground state of such systems often displays a large degeneracy that can be lifted due to thermal or quantum effects. One such example is the antiferromagnetic Ising model on the Kagome lattice. It was shown that while the same model on the triangular lattice is ordered at zero temperature for small transverse field due to an order by disorder mechanism, the Kagome lattice resists any such effects and exhibits only short range spin correlations and a trivial paramagnetic phase. We embed this model on the latest architecture of D-Wave's quantum annealer, the Advantage2 prototype, which uses the highly connected Zephyr graph. Using advanced embedding and calibration techniques, we are able to embed a Kagome lattice with mixed open and periodic boundary conditions of 231 sites on the full graph of the currently available prototype. Through forward annealing experiments, we show that under a finite longitudinal field the system exhibits a one-third magnetization plateau, consistent with a classical spin liquid state of reduced entropy. An anneal-pause-quench protocol is then used to extract an experimental ensemble of states resulting from the equilibration of the model at finite transverse and longitudinal field. This allows us to construct a partial phase diagram and confirm that the system exits the constrained Hilbert space of the classical spin liquid when subjected to a transverse field. We connect our results to previous theoretical results and quantum Monte Carlo simulation, which helps us confirm the validity of the quantum simulation realized here, thereby extracting insight into the performance of the D-Wave quantum annealer to simulate non-trivial quantum systems in equilibrium.
description: 12 + 6 pages, 7 + 8 figures, updated paper to be published in PRB
Are Evolutionary Algorithms Safe Optimizers?
Creators: name: Kim, Youngmin
name: Allmendinger, Richard
name: López-Ibáñez, Manuel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: I.2.8

description: We consider a type of constrained optimization problem, where the violation of a constraint leads to an irrevocable loss, such as breakage of a valuable experimental resource/platform or loss of human life. Such problems are referred to as safe optimization problems (SafeOPs). While SafeOPs have received attention in the machine learning community in recent years, there was little interest in the evolutionary computation (EC) community despite some early attempts between 2009 and 2011. Moreover, there is a lack of acceptable guidelines on how to benchmark different algorithms for SafeOPs, an area where the EC community has significant experience in. Driven by the need for more efficient algorithms and benchmark guidelines for SafeOPs, the objective of this paper is to reignite the interest of this problem class in the EC community. To achieve this we (i) provide a formal definition of SafeOPs and contrast it to other types of optimization problems that the EC community is familiar with, (ii) investigate the impact of key SafeOP parameters on the performance of selected safe optimization algorithms, (iii) benchmark EC against state-of-the-art safe optimization algorithms from the machine learning community, and (iv) provide an open-source Python framework to replicate and extend our work.
description: To be published in proceedings of Genetic and Evolutionary Computation Conference (GECCO 22), July 9-13, 2022, Boston, MA, USA. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3512290.3528818
'Blockchain Smart Contracts: unlocking its power through standardisation for harmonised IT markets' Webinar Presentations
Creators: name: Meneses, Rita
name: Aristidou, Christiana
name: Arribas, Ismael
name: Christophe, Ozcan
name: Pons, Jérôme
Publisher: name: Zenodo
Year: 2025

description: A smart contract is a digital agreement on a blockchain network that is executed automatically upon fulfilling some terms and conditions. It is a self-executing program that automates the actions required in a blockchain transaction. In other words, it is a code written into a blockchain that executes the actions two parties agree to outside the chain, removing the need for an intermediary or trust between the parties, consequently eliminating the risk of manipulation by third parties.  Once completed, the transactions are trackable and irreversible. 

This feature naturally means that smart contracts, nested within the framework of blockchain technology, have proven to be dynamic tools with versatile applications across various industries, from financial services, to real estate, healthcare, supply chain management, amongst others. They are paving the way for a decentralized future characterized by transparency, efficiency and innovation. With this, they bring to the game new forms of organisations, namely the Decentralised Autonomous Organisation (DAOs), an organisation managed in whole or in part by decentralized computer programs, with voting and finances handled through blockchain.

Nevertheless, the lack of standardized practices in smart contracts can lead to inconsistencies, lack of security and potential vulnerabilities & risks, with interoperability challenges, hindering their seamless integration with existing systems and platforms. 

The sector needs guidelines, best practices, and specifications to enhance the robustness and reliability of Smart Contracts deployed on blockchain networks. This lack of standardized security measures poses a significant barrier to the broader adoption of Smart Contracts and impedes the realization of their full potential in revolutionizing digital transactions. Users, policymakers and other stakeholders will benefit from a shared and unified understanding of smart contracts, their common elements, and essential features, which in turn will facilitate adoption enhancing the digital economy, society, and environment. 

This webinar will focus on how SEEBLOCKS.eu experts are supporting blockchain smart contract standardisation, namely related to Smart Contract taxonomy, classification and security, as well as the registration of DAOs, that will support the implementation of the Digital Decade Strategy and Digital Single Market in Europe.
Food safety verification by block chain; a consumer-focused solution to the global food fraud crisis
Creators: name: Agetu, Richard
name: Agetu, Richard
Publisher: name: Unknown
Year: 2020
Subjects: subject: Food Consumption/Nutrition/Food Safety
subject: Food safety
subject: Technology adoption

description: Food fraud is an age long challenge motivated by economic reasons. It is defined as the intentional substitution, addition, tampering and misrepresentation of food, food ingredients or food packaging for economic gain . Research has shown that food fraud costs at least $65 billion globally . Food experts tagged 2018 as the year of food fraud and fraud prevention strategies due to the shocking amounts and forms witnessed. Some of these included fake cherries, counterfeit honey, fake (plastic) rice, counterfeit wine, fake fish, etc. To combat counterfeiting, various certification programmes have been launched. However, counterfeit labelling which is the act of claiming certifications which have not been obtained by food producers on product packaging have ensued and become popular in developing countries. This new challenge has increased the need for a food safety verification system that enables prospective consumers to verify the authenticity of food products as quickly and as convenient as possible. In 2008, blockchain technology made its public debut and in just over a decade, it has shown potential for usefulness in every sector, including agriculture. It gained public trust and wide acceptance because they are distributed, utilizes cryptography, is open and has timestamps on every data recorded. Due to the combination of these features, it is considered unique and the most secure data framework for big data. Given the features of the blockchain system listed above, it is considered a more effective tool for food authenticity verification. The combination of serialization and blockchain will certainly proffer a fast and effective solution to counterfeit labelling issues in the global food industry, but this is also dependent on its level of adoption. A review of literature and industry articles revealed that a lot of attempts are being made in the use of blockchain for value chain traceability, farmer positioning, logistics, entering new markets and transaction costs. Most of these tools are utilized by most actors in the value chain but the consumer. Very little has been done in creating consumer centered verification tools using blockchain and this is a huge gap. This poster presentation intends to highlight the features and possible ways blockchain can equip consumers in developing countries with tools to verify the safety of food reliably and timely.
Electron liquid state in the spin-1/2 anisotropic Kondo lattice
Creators: name: Karnaukhov, Igor N.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: In the framework of the mean field approach, we provide analytical and numerical solution of the spin-1/2 anisotropic Kondo lattice for arbitrary dimension at half filling. Nontrivial solution for the amplitude of the field opens a gap in the fermion spectrum of an electron liquid in which local moments on the lattice sites are realized. The ground state in the insulator state is determined by a static Z_2 field of local moments, which forms the lattice with a double cell, conduction electrons move in this field. Due to hybridization between electron states a large Fermi surface is formed in the Kondo lattice. A gap in the quasi-particle spectrum is calculated depending on the magnitudes of exchange integrals for the simple lattices with different dimension. The proposed approach is also valid for describing the Kondo lattice with weak anisotropy of the exchange interaction, which makes it possible to study the behavior of the spin-1/2 Kondo lattice with an isotropic exchange interaction.
description: 7 pages, 4 figures
An analysis on improvement of x-ray diffractometer results by controlling and calibration of parameters
Creators: name: Moradi, Hamidreza
name: Mehradnia, Fatemeh
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: The X-ray diffractometer in the laboratory is a crucial instrument for analyzing materials in science. It can be used on almost any crystal material, and if the machine parameters are appropriately controlled, it can offer a lot of information about the samples characteristics. Nevertheless, the data obtained from these machines are complicated by an aberration function that can be resolved through calibration. In this study, a powder comprising of Barium Sulfate (BaSO4), Zinc Oxide (ZnO) and Aluminum (Al) was used as the first sample and a single crystal sample comprised of Gallium Nitride (GaN) and Aluminum Oxide (Al2O3). The required calibration parameters of the X-ray diffractometer namely: Straight Beam Alignment, Beam Cut Alignment and Sample Tilt Alignment for two samples were analyzed and carried out. Using the results of the X-ray spectrum, important parameters such as corresponding planes for peak positions, d-spacing of planes, intensities, smallest crystallite sizes and lattice parameters, and a comparison with the reference data were all carried out. As another result, the out-of-plane alignment and Full-Width at Half-Maximum (FWHM) value for GaN could be determined using the rocking curve.
How Expectations, Information, and Subsidies Influence Farmers’ Use of Alternate Wetting and Drying in Vietnam’s River Deltas
Creators: name: McKinley, Justin
name: Sander, Bjoern
name: Vuduong, Quynh
name: Mai, Trinh
name: LaFrance, Jeffrey
name: McKinley, Justin
name: Sander, Bjoern
name: Vuduong, Quynh
name: Mai, Trinh
name: LaFrance, Jeffrey
Publisher: name: Unknown
Year: 2020
Subjects: subject: Farm Management
subject: GHG emissions
subject: Technology adoption
subject: Farming practices

description: This study aims to better understand factors that may influence a farmers’ decision to use the irrigation practice known as alternate wetting and drying (AWD). This study is novel because it is the first of its kind to use expectations of AWD use to estimate whether or not farmers use the practice of AWD. Perceptions have not been previously used as predictors in the use of new agricultural technologies / practices and certainly not for AWD specifically. Furthermore, this study investigates whether or not those expectations match reality by looking at the production data of farmers using AWD as compared to farmers not using AWD. At the Paris Climate Agreement in 2015, Vietnam committed to an eight percent reduction in greenhouse gas (GHG) emissions by 2030. These reductions will come in part from the agricultural sector and specifically rice production. One promising GHG mitigating technology used in rice production is AWD, which can reduce GHG emission by as much as 48% (Sander, Wassmann, & Siopongco, 2015). This study uses primary data collected in Vietnam’s Mekong River Delta and Red River Delta to compare yield, cost, and returns of farmers who currently use AWD to farmers who use the conventional production method of continuously flooded (CF) rice. Furthermore, this study employs McFadden’s conditional logit model to model factors that may influence the farmers’ decision to use AWD or not. This study looks specifically at expectations of farm inputs (e.g. will water use increase or decrease with AWD use?) and yield for AWD use, sources of agricultural information, and irrigation subsidy perceptions. This is the first study of its kind to use expectations as an explanatory variable for the outcome, namely, expectations of AWD as a determinant of AWD use. Results indicate that the respondents’ expectations of AWD use, where respondents receive agricultural information, and whether or not they perceive that they receive a subsidy for irrigation are all significant factors in whether or not they use AWD. Furthermore, farmers have rational expectations of AWD as their expectations largely match the reality with respect to certain costs and production. The Vietnamese government can use AWD to abate GHG emissions and move closer to achieving their GHG abatement commitments without burdening themselves or Vietnamese farmers with additional costs to production. AWD use can be increased by changing expectations of AWD through proper channels of agricultural information in Vietnam.
Symbolic music generation conditioned on continuous-valued emotions
Creators: name: Sulun, Serkan
name: Davies, Matthew E. P.
name: Viana, Paula
Publisher: name: arXiv
Year: 2022
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Artificial Intelligence (cs.AI)
subject: Multimedia (cs.MM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In this paper we present a new approach for the generation of multi-instrument symbolic music driven by musical emotion. The principal novelty of our approach centres on conditioning a state-of-the-art transformer based on continuous-valued valence and arousal labels. In addition, we provide a new large-scale dataset of symbolic music paired with emotion labels in terms of valence and arousal. We evaluate our approach in a quantitative manner in two ways, first by measuring its note prediction accuracy, and second via a regression task in the valence-arousal plane. Our results demonstrate that our proposed approaches outperform conditioning using control tokens which is representative of the current state of the art.
description: Published in IEEE Access
Origin of intense electron heating in relativistic blast waves
Creators: name: Vanthieghem, Arno
name: Lemoine, Martin
name: Gremillet, Laurent
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: The modeling of gamma-ray burst afterglow emission bears witness to strong electron heating in the precursor of Weibel-mediated, relativistic collisionless shock waves propagating in unmagnetized electron-ion plasmas. In this Letter, we propose a theoretical model, which describes electron heating via a Joule-like process caused by pitch-angle scattering in the decelerating, self-induced microturbulence and the coherent charge-separation field induced by the difference in inertia between electrons and ions. The emergence of this electric field across the precursor of electron-ion shocks is confirmed by large-scale particle-in-cell (PIC) simulations. Integrating the model using a Monte Carlo-Poisson method, we compare the main observables to the PIC simulations to conclude that the above mechanism can indeed account for the bulk of electron heating.
description: 9 pages, 8 figures; to be published in Astrophysical Journal Letters
Effects of smoking on agricultural productivity
Creators: name: Haque, Samiul
name: Abedin, Naveen
name: Fakir, Adnan
name: Haque, Samiul
name: Abedin, Naveen
name: Fakir, Adnan
Publisher: name: Unknown
Year: 2020
Subjects: subject: Health Economics and Policy
subject: Smoking
subject: Agricultural productivity
subject: Effective labor

description: We examine the effects of smoking on productivity among agricultural workers in riverine islands (locally known as chars) of northern Bangladesh, where prevalence of tobacco consumption is around 80% compared to 35.3% nationally. There is a high correlation between physically-demanding occupations and smoking, wherein farmers and day laborers are among those most likely to smoke. This means the opportunity cost of smoking is potentially very high for people employed in the labor-intensive agriculture sector. We use primary data from the Bangladesh Chars Tobacco Assessment Project 2018 survey for our empirical analyses. The effects of smoking on agricultural productivity is modelled using a standard Cobb-Douglas production function, with an additional parameter to capture the effect of the primary farmer’s smoking status on productivity. We estimate the effects using a two-stage non-linear least squares (NL2S) model through its impact on effective family labor. Our results show that smoking by the primary farmer reduces productivity of effective family labor input by 60-62%. Public policy objectives to improve labor productivity in the riverine islands of Bangladesh should actively target smoking behavior of agricultural households.
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Creators: name: Yuan, Bo
name: Zhao, Danpei
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Continual learning, also known as incremental learning or life-long learning, stands at the forefront of deep learning and AI systems. It breaks through the obstacle of one-way training on close sets and enables continuous adaptive learning on open-set conditions. In the recent decade, continual learning has been explored and applied in multiple fields especially in computer vision covering classification, detection and segmentation tasks. Continual semantic segmentation (CSS), of which the dense prediction peculiarity makes it a challenging, intricate and burgeoning task. In this paper, we present a review of CSS, committing to building a comprehensive survey on problem formulations, primary challenges, universal datasets, neoteric theories and multifarious applications. Concretely, we begin by elucidating the problem definitions and primary challenges. Based on an in-depth investigation of relevant approaches, we sort out and categorize current CSS models into two main branches including data-replay and data-free sets. In each branch, the corresponding approaches are similarity-based clustered and thoroughly analyzed, following qualitative comparison and quantitative reproductions on relevant datasets. Besides, we also introduce four CSS specialities with diverse application scenarios and development tendencies. Furthermore, we develop a benchmark for CSS encompassing representative references, evaluation results and reproductions, which is available at~\url{https://github.com/YBIO/SurveyCSS}. We hope this survey can serve as a reference-worthy and stimulating contribution to the advancement of the life-long learning field, while also providing valuable perspectives for related fields.
description: 20 pages, 11 figures
The European debate about structural separation: Possible implications for Australia
Creators: name: Morgan, Kevin
Publisher: name: Swinburne
Year: 2024

description: In the lead up to the review of telecommunications regulation in mid 2006, the European Union's Commissioner for Information Society and Media, Ms Viviane Reding, reignited the debate about the use of structural separation as a remedy for anti-competitive behaviour by incumbents.Despite the Commissioner's initial enthusiasm for structural separation, following a detailed inquiry the Commission bowed to the weight of industry opinion and opted for the lesser remedy of functional separation in its subsequent October 2007 policy statement. The decision did not recommend that functional separation be mandatory, but that it should be implemented by national regulators at their discretion. Notwithstanding the rejection of structural separation by one of the industry's most influential policy/regulatory bodies, it remains on the Australian agenda and is at the core of the debate about competition and the planned national fibre to the node network (FTTN). If any group other than Telstra wins the present tender for FTTN, structural separation will be needed to roll out the network within the government's $4.7 billion budget. Should Telstra win the tender and accept the subsidy offered it may have to engage in structural separation to accommodate the public private partnership (PPP) for the network which is the government's favoured vehicle to deliver the new network. The article considers the recent debate about structural separation in Europe and considers its utility to the planned deployment of a national fibre to the node network.
Holographic Phonon-Photon Topological Processor (M4CH1N4 LUM1N4™) and Quantum Computational Framework (UT0P14™): A Novel Paradigm for Non-Classical Computation
Creators: name: NIGHTINGALE, ALANNAH
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Quantum computers
subject: Theoretical physics
subject: Computational science
subject: Computational topology
subject: Artificial intelligence
subject: Artificial Intelligence

description: This patent document presents the Holographic Phonon-Photon Topological Processor (M4CH1N4 LUM1N4™) and the Quantum Computational Framework (UT0P14™), a revolutionary approach to quantum computation. This work introduces a novel method for non-classical information processing, leveraging phonon-photon interactions, topological stability, and quantum neural architectures to surpass conventional quantum computation limitations. The theoretical underpinnings, experimental validation strategy, and applications in AI, quantum cryptography, and fundamental physics are detailed.

Patent Status: PUBLIC DISCLOSURE for immediate legal protection. This work is subject to further formal filings.
Quantum phase transitions and cat states in cavity-coupled quantum dots
Creators: name: Kozin, Valerii K.
name: Miserev, Dmitry
name: Loss, Daniel
name: Klinovaja, Jelena
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study double quantum dots coupled to a quasistatic cavity mode with high mode-volume compression allowing for strong light-matter coupling. Besides the cavity-mediated interaction, electrons in different double quantum dots interact with each other via dipole-dipole (Coulomb) interaction. For attractive dipolar interaction, a cavity-induced ferroelectric quantum phase transition emerges leading to ordered dipole moments. Surprisingly, we find that the phase transition can be either continuous or discontinuous, depending on the ratio between the strengths of cavity-mediated and Coulomb interactions. We show that, in the strong coupling regime, both the ground and the first excited states of an array of double quantum dots are squeezed Schrödinger cat states. Such states are actively discussed as high-fidelity qubits for quantum computing, and thus our proposal provides a platform for semiconductor implementation of such qubits. We also calculate gauge-invariant observables such as the net dipole moment, the optical conductivity, and the absorption spectrum beyond the semiclassical approximation.
description: published in PRR with Editor's suggestion
From Limits to Growth to Planetary Boundaries: The Evolution of Economic Views on Natural Resource Scarcity
Creators: name: Barbier, Edward B.
name: Barbier, Edward B.
Publisher: name: Unknown
Year: 2020
Subjects: subject: Environmental Economics and Policy
subject: Limits to Growth
subject: Natural Resource
subject: Scarcity

description: Since the 1950s, as economics has responded to new environmental challenges, views on natural resource scarcity have also evolved. Three distinct phases are discernible in this evolution. From the 1950s through the 1970s, the “Resource Depletion Era”, the concern was mainly with the environment as a source of key natural resources and a sink for waste, and thus the focus was on whether there were physical “limits” on the availability of resources as economies expand and populations grow. From the 1970s to the end of the 20th century, the “Environmental Public Goods Era”, attention shifted to the state of environment and processes of environmental degradation, such as climate change, deforestation, watershed degradation, desertification and acid rain, that resulted in loss of global and local environmental public goods and their important non-market values. Since 2000, the “Ecological Scarcity Era” has seen a growing concern with the state of the world’s ecosystems and Earth system processes, and shifted focus back to possible “limits” to economic and population expansion, but now with the emphasis on potential “planetary boundary” constraints on human activity.
First-principles density limit scaling in tokamaks based on edge turbulent transport and implications for ITER
Creators: name: Giacomin, M.
name: Pau, A.
name: Ricci, P.
name: Sauter, O.
name: Eich, T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: A first-principles scaling law, based on turbulent transport considerations, and a multi-machine database of density limit discharges from the ASDEX Upgrade, JET and TCV tokamaks, show that the increase of the boundary turbulent transport with the plasma collisionality sets the maximum density achievable in tokamaks. This scaling law shows a strong dependence on the heating power, therefore predicting for ITER a significantly larger safety margin than the Greenwald empirical scaling (Greenwald et al, Nucl. Fusion, 28(12), 1988) in case of unintentional H-L transition.