Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of integral data assimilation and differential measurements as a contribution to improve 235U and 238U cross sections evaluations in the fast and epithermal energy range

Critical mass calculations of various HEU-fueled fast reactors result in large discrepancies in C/E values, depending on the nuclear data library used and the configuration modeled. Thus, it seems relevant to use integral experiments to try to reassess cross sections that might be responsible for such a dispersion in critical mass results. This work makes use of the Generalized Least Square method to solve Bayes equation, as implemented in the CONRAD code. Experimental database used includes ICSBEP Uranium based critical experiments and benefits from recent re-analyses of MASURCA and FCA-IX criticality experiments (with Monte-Carlo calculations) and of PROFIL irradiation experiments. These last ones provide very specific information on 235 U and 238 U capture cross sections. Due to high experimental uncertainties associated to fission spectra, we chose to consider either fitting these data or set them to JEFF-3.1. 1 evaluations. The work focused on JEFF-3.1. 1 235 U and 238 U evaluations and results presented in this paper for 235 U capture and 238 U capture, and inelastic cross sections are compared to recent differential experiment or recent evaluations. Our integral experiment assimilation work notably suggests a 30% decrease for 235 U capture around 1–2.25 keV, a 10% increase in the unresolved resonance range when using JEFF-3.1. 1 as “a priori” data. These results are in agreement with recent microscopic measurements from Danon et al. [Nucl. Sci. Eng. 187 , 291 (2017)] and Jandel et al. [Phys. Rev. Lett. 109 , 202506 (2012)]. For 238 U cross sections, results are highly dependent on fission spectra.
The Use of Response Surface Methodology to Optimize Assisted Extraction of Bioactive Compounds from Cucurbita maxima Fruit By-Products

This work aimed to optimize the extraction conditions of bioactive compounds obtained from three squash by-products (e.g., peel, endocarp, and seeds) using the response surface methodology (RSM). The selected independent variables were ethanol concentration, extraction time, and extraction temperature. Squash by-products’ bioactive molecules were extracted according to the matrix proposed by the experimental plan. Significant variability in total phenolic compound content (TPC) and antioxidant activity, depending on the extraction time, the solvent concentration, and the extraction temperature, was recorded for the tested by-products. The experimental results adequately fitted with second-order polynomial models and showed significant linear, quadratic, and interaction effects of the independent variables. Data analysis suggested that the optimal extraction conditions were 12.2% ethanol for 11.2 min at 55 °C for peels; 28.5% ethanol for 10.5 min at 37 °C for endocarp; and 20% ethanol for 10.5 min at 60 °C for seeds. The results obtained showed that the experimental and predicted values of TPC and antioxidant activities as an indicator of a successful extraction fit with each other, thus indicating the optimal extraction conditions. Under these conditions, the obtained extracts exhibited high, although variable, TPC with epicatechin and epigallocatechin as major compounds, as well significant antimicrobial potency, which reached 100% and 80% inhibition of the tested bacteria and fungi.
Electroweak Phase Transition in Minimal Extension of Scale Invariant Standard Model

In an extension to the scale invariant standard model by two real singlet scalars $s$ and $s'$ in addition to the Higgs field, we investigate the strong first-order electroweak phase transition as a requirement for the baryogenesis. This is the minimal extension to the scale invariant standard model with two extra degrees of freedom that possesses the physical Higgs mass of $125$ GeV. The scalar $s'$ being stable because of the $\mathbb Z_2$ discrete symmetry is taken as the dark matter candidate. We then show that the electroweak phase transition is strongly first-order, the dark matter relic density takes the desired value $\Omega_{\text{DM}}h^2 \sim 0.11$ and the constraints from direct detection experiments are respected only if $m_{s'}\equiv m_{\text{DM}} \gtrsim 4.5$ TeV. The model puts also a lower bound on the scalon mass, $m_s \gtrsim 200$ GeV.
Influence of Quercetin-Ferrum Complex on the Biochemical Profile of Berry Crops In Vitro

The purpose of the research was to study the effect of the quercetin-Ferrum complex on the synthesis of plastid pigments and secondary metabolites in berry crops. In the research, biotechnological, physiological, biochemical and statistical methods were used. The ability of quercetin, which is one of the most common flavonol aglycons, to create a chelated complex with Fe 2+ and regulate physiological processes associated with oxidation-reduction reactions, synthesis of pigments and metal enzymes when being a supplement of nutrient medium is shown. With the addition of quercetin-Ferrum complex with a fraction of Fe 2+ in a concentration equivalent to the base nutrient media composition optimized for the cultivation of berry crops in vitro , regenerated plants showed a sufficiently high regeneration capacity. Based on the indicators of the content of chlorophylls and carotenoids in leaves, the physiological availability of Ferrum in the quercetin-Ferrum complex was established. The concentration of chlo - rophylls a and b in raspberry and strawberry leaves increased by 20−25%, and the content of carotenoids increased by 30−40%. On the contrary, in black currant, the content of chlorophyll a in leaves decreased by 18−20% and chlorophyll b by almost 75%. It was found that quercetin is a biologically active phenolic chelating agent capable of chemically binding Fe 2+ ions and participating in the regulation of growth processes, in particular in the induc - tion of callusogenesis. Metal-flavonol complex is advisable to use in micro clonal reproduction of plants sensitive to oxidative stress in conditions of Fe 2+ ions deficiency under the condition of individual selection of the compo - nents of the chelate complex and adjusting its concentration in the nutrient medium.
Sparse Identification of Epidemiological Models from Empirical Data

Current modelling practices in mathematical epidemiology are predicated on mechanisms stemming from theoretical assumptions, such as mass action incidence. Deterministic disease models can describe many patterns observed in empirical incidence data but challenges remain in creating accurate, parsimonious models that offer predictive value. Recent advances in data-driven techniques give rise to new model discovery methods that forego theoretical assumptions and attempt to create sparse, dynamic models directly from real-world data. Our goal is to apply these techniques to empirical case notification data of epidemiological systems, to either confirm current practices or give new insight not accessible by human intuition. We adapt a recently developed technique called Sparse Identification of Nonlinear Dynamics (SINDy), which has demonstrated ability to recover governing equations of complex dynamical systems. To lend insight into this process, the SINDy algorithm was first applied to simulated data from various forms of the SIR model, a standard compartmental model of epidemics. Several conversion processes were then utilized to recover both the susceptible and infectious classes from raw incidence data. Finally, the SINDy algorithm was applied to empirical data from measles, varicella, and rubella datasets, three diseases that offer contrasting dynamic behaviour, and the resulting time-series and model coefficients were analysed. The resulting models closely mimic the dynamics of the empirical data, most notably the frequency of epidemics, for all three diseases considered. The coefficients discovered exhibit sparsity, though not to the extent that current compartmental models do. Similarities between the discovered model equations and fitted SIR models can be noted, including a strong dependence on the cross-term corresponding with the mass action incidence mechanism. These encouraging results indicate this data-driven technique may be of use in verifying and improving current theoretical models in mathematical epidemiology.
Adaptive neural fault‐tolerant optimal control for nonlinear uncertain systems with dynamic state constraints

This article investigates the issue of adaptive neural optimal fault‐tolerant control for a class of nonlinear uncertain systems subject to dynamic state constraints and external disturbances. To handle more general dynamic constraints, a unified tangent‐type nonlinear mapping is first proposed to transform the state‐constrained system into one free of constraints. To solve the problem of actuator faults and external disturbances, a single network adaptive dynamic program method is designed, which consists of a feed‐forward fault‐tolerant control scheme and a feedback differential game control strategy. Neural networks are employed to approximate the uncertainties and cost function, respectively. To handle the issue of “explosion of complexity,” a finite‐time convergent differentiator is established to estimate the derivative of virtual control signals in the backstepping design. Via Lyapunov stability analysis, asymptotic stability of the original and transformed nonlinear system is theoretically guaranteed. Two comparative simulation examples are provided to evaluate the efficacy of the proposed control approach.
Nanopartículas metálicas: una alternativa para combatir la resistencia de especies causantes de la candidiasis

La candidiasis es provocada por diferentes especies del género Candida, siendo C. albicans la más común en los aislados clínicos a nivel mundial. Esta enfermedad es un problema para el sector salud, debido a la multirresistencia que algunas especies de Candida presentan a los antifúngicos tradicionalmente utilizados para controlar la enfermedad. Tal es el caso de C. glabrata y recientemente C. auris, las cuales son resistentes a los azoles, las equinocandinas y a los polienos; por lo cual, la búsqueda de nuevos antifúngicos es una prioridad. La nanotecnología ofrece nuevas alternativas, como el uso de las nanopartículas (NPs) metálicas, en particular, las de plata y cobre han mostrado ser eficientes para la inhibición de C. albicans. En este trabajo se presentan los estudios más relevantes que han evaluado el efecto de las NPs metálicas en especies del género Candida, así como los resultados más prometedores.
Oral Manifestations of Malignant Immunoglobinopathy Hidden in Plain Sight - A Rare Case Report

Rationale: Radiolucent lesions over the angle–body region of the mandible are frequently difficult to diagnose but crucial to provide patient-centred care. Patient Concerns: An elderly female presented with a painless slow-growing swelling over her left lower face for one year, radiographically appearing as a well-defined unilocular radiolucency over the left body of the mandible. Diagnosis: Aspiration was negative, and biopsy was inconclusive. Further imaging, bone marrow biopsy, immune profile and serum electrophoresis confirmed the diagnosis of multiple myeloma. Treatment: She was referred to Medical Oncology for chemotherapy of lenalidomide, bortezomib and dexamethasone regimen cycle that was repeated every 21 days. Outcomes: There was no increase in swelling, and radiographically 'punched-out' lesions were reduced significantly. Take-Away Lessons: Maxillofacial clinicians should be attentive to the oral manifestations of underlying disease, have a high index of suspicion and start the treatment promptly to increase chances of a favourable outcome.
Applications of Computability Theory to Partial and Linear Orders

One of the notions central to the study of computable linear orders is that of computable categoricity. Remmel showed that a computable linear ordering L is computably categorical if and only if the (classical) order type of L has only a finite number of successor pairs. In this proof, Remmel assumes that L has infinitely many successor pairs and then constructs another computable linear order R, which is not computably isomorphic to L, and a ∆2-isomorphism f such that f : L → R is an isomorphism. This shows that L is not computably categorical. The first aim of this dissertation is to investigate under what conditions we can construct f below certain types of ∆2 degrees. The isomorphism relation on countable posets preserves all structural information but there are 2א0 many isomorphism classes of countable posets and the isomorphism relation is Σ1-complete. The second aim of this dissertation is to examine two coarser classifications of partially ordered sets, namely Tukey equivalence and cofinal equivalence. Although these relations preserve less structural information than the isomorphism relation, they still describe some of the essential components of partially ordered sets. However, both Tukey and cofinal equivalence result in just countably Marie Nicholson, University of Connecticut, 2017 many equivalence classes of countable posets. We examine the complexity of Tukey types and cofinal types of countable posets. In addition, there are various classically equivalent definitions for the notion of Tukey reducibility and we examine how difficult it is to prove their equivalence.
Where are low-carbon places made? Conceptualising and studying infrastructure junctions and the power geometries of low-carbon place-making

ABSTRACT The making of low-carbon places is crucial for achieving decarbonisation, but where are such places made? In extending and combining existing research and ideas, the authors take electricity networks as their starting point to study what they term three ‘infrastructure junctions’, which are places where various practices and processes, with material, spatial, and temporal features, collide and combine in ways that shape the power geometries of low-carbon place-making. The authors find that the junctions reveal the conflictual and consensual dimensions of low-carbon transitions and how these features shape and are shaped by the ordering and management of networked hardware. Some features are shared, such as an overarching faith in large-scale provision and unabated demand, whereas others are more unique and rooted in specific contextual realities. Such insights support attempts to assess, steer, and accelerate low-carbon place-making as a relational process that is manifest and mediated through infrastructure. The authors conclude that infrastructure junctions offer ripe grounds to examine where, how, when, and for whom low-carbon places are in the making.
Licensing and Differential Object Marking: The View from Neo‐Aramaic

I propose a novel analysis of differential object marking (DOM) that revolves around nominal licensing and, unlike most previous accounts, does not appeal to object visibility (e.g., Danon 2006, Lyutikova & Pereltsvaig 2015), object raising (e.g., Bhatt & Anagnostopoulou 1996, Baker & Vinokurova 2010), or object differentiation or identi ﬁ cation (e.g., Aissen 2003, De Hoop & Malchukov 2008). I argue (i) that not all nominals need abstract licensing (following Massam 2001, Danon 2006, Ormazabal & Romero 2013), but also that all nominals have the potential to be licensed, that is, all nominals are visible to case and agreement processes; (ii) that the set of objects that are overtly marked (e.g., by case or agreement) can reveal the set of nominals that require licensing in a language, and (iii) that clauses typically have one obligatory nominal licenser, with secondary licensers merging only when needed for convergence (following Levin & Massam 1985; Bobaljik 1993; Laka 1993, 2000; Rezac 2011). Taken together, I show that variation in the types of nominals that need licensing and the location/identity of obligatory and secondary licensers can derive crosslinguistic differences in case, agreement, and DOM patterns. This uni ﬁ ed account simpli ﬁ es our understanding of nominal licensing within and across languages, as it does not require objects to have special properties as compared to subjects, nor does it fundamentally differentiate DOM languages from non-DOM languages. The motivating data come largely from the Neo-Aramaic language Senaya, which clearly illustrates that certain nominals can occupy a position where abstract licensing is unavailable.
Existence and asymptotic behaviour for the time‐fractional Keller–Segel model for chemotaxis

One of the most important systems for understanding chemotactic aggregation is the Keller–Segel system. We consider the time‐fractional Keller–Segel system of order α∈(0,1) . We prove an existence result with small initial data in a class of Besov–Morrey spaces. Self‐similar solutions are obtained and we also show an asymptotic behaviour result.
Contribution to the study of quantum spin chains with random or aperiodic perturbation

In the present thesis, the critical and off-critical behaviors of quantum spin chains in presence of a random or an aperiodic perturbation of the couplings is studied. The critical behavior of the Ising and Potts random quantum chains is known to be governed by the same Infinite-Disorder Fixed Point. We have implemented a numerical version of the Strong-Disorder Renormalization Group (SDRG) to test this prediction. We then studied the quantum random Ashkin-Teller chain by Density Matrix Renormalization Group. The phase diagram, previously obtained by SDRG, is confirmed by estimating the location of the peaks of the integrated autocorrelation times of both the spin-spin and polarization-polarization autocorrelation functions and of the disorder fluctuations of magnetization and polarization. Finally, the existence of a double-Griffiths phase is shown by a detailed study of the decay of the off-critical autocorrelation functions. As expected, a divergence of the dynamical exponent is observed along the two transition lines. In the aperiodic case, we studied both the Ising and Potts quantum chains. Using numerical SDRG, we confirmed the known analytical results for the Ising chains and proposed a new estimate of the magnetic scaling dimension.For the quantum q-state Potts chain, we estimated the magnetic scaling dimension for various aperiodic sequences and showed that it is independent of q for all sequences with a vanishing wandering exponent. However, we observed that the dynamical exponent is finite and increases with the number of states q. In contrast, for the Rudin-Shapiro sequence, the results are compatible with an Infinite-Disorder Fixed Point with a diverging dynamical exponent, equipe de renormalization
Di Bawah Spirit Liberal-Institusionalisme: Kajian Komparatif Gagasan Dynamic Equilibrium dan ASEAN Outlook on the Indo-Pacific

This article aims to compare two Indonesia’s foreign policy ideas, namely, dynamic equilibrium and the ASEAN Outlook on the Indo-Pacific (AOIP). It treats both ideas as an analytical tool instead of propositions to be tested against empirical evidence. Using liberal-institutionalism approach, this article argues that despite both ideas applies in the Indo-Pacific region, both have different characteristics. While dynamic equilibrium can be regarded as a foreign policy doctrine which only proposes the basic principles of interstate relations, AOIP is a cooperative framework which becomes policy guidance for countries in the region. However, both ideas conforms liberal-institutionalism premises that international regimes matter because it provides set of rules for cooperation rather than rivalry, recover ASEAN’s role as a key actor in the region, promote dialogue in dispute settlement, and gain economic development.
Translating Violence from Texts onto Screen: Violation of Human Rights

The paper aims to explore the translation of violence from textual sources to the screen and its implications for human rights violations. The art forms we create are a product of our collective memories of experiences. Whereas many other forms of expression produce still images that need to be viewed, read or heard to get an impact and reaction. Cinema as a moving visual art brings together likeminded people to create visuals that immediately attract all segments of our society. The reactions are often generated instantly and spreads through various social media platforms, generating much debate and heat. The social imbalances between man and woman have been subjects of many novels and stories. The different power equations between different castes have also been focused at times. Despite making much progress – both in terms of social movements and legal provisions, domestic violence still persists in India. It is rather on the rise in India posing a great concern for the human rights activists. Whereas the verbal texts have had limited effects in raising our consciousness, once transferred into life-like visuals, women become visibly matters of objectification. Most stop at raising the gender issues as their critiques. The research utilizes a multimodal approach, considering both the visual and verbal elements of film texts. By understanding the significance of film as a medium and its impact on viewers, this study provides insights into the intersection of cinema, society, and human rights.
Impact of fiber loss on two-soliton states: Substantial changes in eigenvalue spectrum

The impact of power loss on fiber-optic solitons and soliton compounds has regained interest recently, as coding schemes employing inverse scattering eigenvalues are being discussed. Loss lifts the integrability of the underlying nonlinear Schrödinger equation and has usually been treated by perturbation analysis. Our approach uses localized loss of arbitrary strength. We investigate two-soliton compounds including the N = 2 soliton and show that loss causes severe qualitative modifications of the eigenvalue spectrum. Peculiar features include power redistribution between solitons so that one of them is actually enhanced by loss and conversion of solitons at rest into a pair with outward velocities. Earlier reports of such features are put into context. We argue that frequency splitting of soliton pairs requires a mechanism that renders the spectrum double-lobed (or multiply lobed) and that the bifurcation is defined by a balance between dispersive and nonlinear forces. Implications for eigenvalue-based communication formats are pointed out.
Spectral properties of the binary Hadamard matrices

ABSTRACT A binary Hadamard matrix (also called an S-matrix) is an -matrix formed by taking an Hadamard matrix in which the entries in the first row and column are , changing 's to 0's and 's to 's, and deleting the first row and column. In this paper, some spectral properties of the binary Hadamard matrices are derived. All singular values and eigenvalues' modulus of an arbitrary S-matrix are obtained. Two special types of binary Hadamard matrices, namely the symmetric and the skew-type ones, are analysed in more detail. In particular, we prove that an S-matrix (regardless of its order n) is of skew type if, and only if, all its eigenvalues different from the largest one (in modulus) are imaginary and have real part 1/2. Finally, the symmetric and skew-symmetric parts of an S-matrix are analysed.
Alocação Dinâmica de Canais em Sistemas de Comunicações Móveis Utilizando Algoritmos Genéticos

comunicações móveis utilizando algoritmos genéticos é investigada neste artigo. O desempenho de algoritmos genéticos utilizados para a alocação dinâmica de canais (DCA-dynamic channel assignment) foi investigado em um sistema de comunicação móvel com 49 células, onde foram consideradas distribuições de tráfego uniforme e não-uniforme. O algoritmo proposto apresentou menores taxas de bloqueio de canais quando comparado com os métodos de alocação fixa de canais (FCAfixed channel assignment) e alocação dinâmica baseada em aprendizagem-Q.