Miracle-dz/UniFAR-FTUs huggingface dataset:
Asset Management In Power Network Towards Optimization Performance Using Integrated, Intelligent And Automated (IIA) Scheme

: Asset management is a wide variety of interpretations throughout the industry and even electricity supply organizations. It has been as the core of the distribution business and responsible for the strategy of the power network. Also, data is an essential ingredient to effective asset management. Asset management process adds value by converting this data into decisions, which reduce the overall lifecycle cost of the network. In service, lifecycle costs can be broken down into three distinct areas as: Installation, operations & Maintenance and Decommissioning. Installation and decommissioning costs have been evaluated at the conceptual stage of the project. So, this paper shows the current status and the unused patterns for benchmarking and moving forward the asset management in power networks towards optimization execution.
A foresight-oriented service design approach to foster longer-term thinking and sustainable practices

: This paper explores how service design practitioners can incorporate foresight methods as a way to foster longer-term thinking and sustainable practices in design projects. Our findings highlight that service design agencies might not always be equipped to offer to their clients a structured integrated foresight and service design approach. This paper presents the preliminary results of a 15-month study, which was also articulated into a series of co-creation workshops aimed at exploring possible ways in which foresight can be integrated within service design practices.
Increased BMSi Association With Risk of Incident Osteoporotic Fractures

Adolfo Diez-Perez, Cristian Tebé Cordomí, Erik Fink Eriksen, and Julie A. Pasco Department of Medicine, Hospital del Mar Institute of Medical Investigation, Barcelona, Spain Department of Biostatistics, Unitat de Bioestadística, Hospital Germans Trias i Pujol, Barcelona, Spain Institut de Recerca Germans Trias i Pujol, Departament de Ciències Clíniques, Universitat de Barcelona, Barcelona, Spain Spesialistsenteret Pilestredet Park and Faculty of Odontology, University of Oslo, Oslo, Norway Epi-Centre for Healthy Ageing, Deakin University, IMPACT—Institute for Mental and Physical Health and Clinical Translation-Barwon Health, Geelong, Australia
ADEMU WORKING PAPER SERIES Differences in Euro-Area Household Finances and their Relevance for Monetary-Policy Transmission

This paper quantifies the extent of heterogeneity in consumption responses to changes in real interest rates and house prices in the four largest economies in the euro area: France, Germany, Italy, and Spain. We first calibrate a life-cycle incomplete-markets model with a liquid financial asset and illiquid housing to match the large heterogeneity of households asset portfolios, observed in the Household Finance and Consumption Survey (HFCS) for these countries. We then show that the heterogeneity in household finances implies that responses of consumption to changes in the real interest rate and in house prices differ substantially across the analyzed countries, and across age groups within these countries. The different consumption responses quantified in this paper point towards important heterogeneity in monetary-policy transmission within the euro area.
REPRESENTATION OF DEPTH‐CONTOUR MAPS OF ARBITRARILY CURVED REFLECTION HORIZONS, INCLUDING REFRACTION OF RAYS, THREE‐DIMENSIONAL CASE

A method of constructing depth contour maps of arbitrarily curved horizons obtained from seismic reflection surveys is discussed. This method takes into account three dimensional refraction, avoiding the construction of seismic cross sections of any kind. It requires little work even if refraction at several horizons is taken into account. The multiple layer problem is traced back to the single layer case. Discontinuities in velocity are also taken into account.
1 JOHDANTO

Two ideal models of strategy development are identified: one rational stepwise; the other emergent, ex-post, relying on experimentation, where strategy is used to legitimise what has already been accomplished. Key points Capabilities for both strategy development models may be acquired internally or externally, but with the emergent, ex-post model, core capabilities are acquired internally through experimentation. These outcomes lead to a richer resourcebased view of emergent strategy, and suggest a diverse range of strategic options. The findings suggest that firms might deliberately take an ambidextrous approach and seek a balance of planning and emergence in their strategy process.
The optimal short-term management of flexible nuclear plants in a competitive electricity market as a case of competition with reservoir

In many countries, the electricity systems are quitting the vertically integrated monopoly organization for an operation framed by competitive markets. It therefore questions how nuclear plants should be operated in an open market framework. We address the medium-term horizon of management to take into account the fluctuations of demand according to the seasons of year. A flexible nuclear set (like the French) could be operated to follow a part of the demand variations. Since nuclear plants have to stop periodically to reload their fuel (every 12 or 18 months), we can analyze the nuclear fuel as a stock behaving like a reservoir. The flexible operation of the reservoir permits to get different nuclear fuel allocations according to the different levels of the seasonal demand. We then analyze it within a general deterministic dynamic framework with two types of generation : nuclear and thermal non-nuclear. We study the optimal management of the production in a perfectly competitive market. In this paper, we focus on the optimal short-term (monthly) production behaviour before moving to a yearly or multi-annual optimization. This constitutes a prudent research strategy of a flexible nuclear set leaving the monopoly organization and exploring how to reach a market equilibrium in a competitive market. Then, we set up a simple numerical model (based on data from the French market) given that the nuclear production set is managed in a flexible manner in order to follow the variations in demand (like the French nuclear set actually does). The marginal cost of nuclear production being (significantly) lower than the one of non-nuclear induces a discontinuity of producer's short-term profit. The problem of discontinuity makes the resolution of the optimal short-term production problem extremely complicated and even leads to a lack of solutions. That is why it is necessary to study an approximate problem (continuous problem) that constitutes a "regularization" of our economical problem (discontinuous problem). The simulations show why future demand has to be anticipated to manage the current use of the nuclear fuel reservoir. Moreover, to ensure the equilibrium between supply and demand, the management of the nuclear set has to take into account the thermal non-nuclear generation capacity.
A mixed gamma ARMA(1, 1) Model for river flow time series

In this paper we consider a time series model which can easily be used for simulating stationary river flow sequences with high skewness and the long-term correlation structure of an ARMA(1, 1) model. The model is fitted to monthly streamflows taken from a river in Malaysia. The simulated data bear a close resemblance to the historical sequence in terms of the mean, variance, skewness, and autocorrelation coefficients.
Future (2015-2100) Antarctic-wide ice-shelf firn air depletion from a statistical firn emulator

Antarctic firn is critical for ice-shelf stability because it stores meltwater that would otherwise pond on the surface. Ponded meltwater increases the risk of hydrofracture, and subsequent potential ice-shelf collapse. Here, we use output from a firn model to build a computationally simpler emulator that uses a random forest to predict ice-shelf firn air content (FAC) based on climate conditions. We find that summer air temperature and precipitation are the most important climatic features for predicting FAC. By 2100, Larsen C Ice Shelf is most at risk of firn air depletion, while the larger Ross and Ronne-Filchner are likely to experience little FAC change. Variability in Earth System Model projections is the largest uncertainty source regarding future FAC predictions. In fact, the model uncertainty, described by the firn air depletion spread from CMIP6 models in the SSP3-7.0 and SSP5-8.5 emission scenarios, is larger than the firn air depletion range across the emission scenarios.
Impacts of Climate Change on Extreme Precipitation Events Over Flamingo Tropicana Watershed 1

Abstract: Climate change, particularly the projected changes to precipitation patterns, is likely to affect runoff both regionally and temporally. Extreme rainfall events are expected to become more intense in the future in arid urban areas and this will likely lead to higher streamflow. Through hydrological modeling, this article simulates an urban basin response to the most intense storm under anthropogenic climate change conditions. This study performs an event‐based simulation for shorter duration storms in the Flamingo Tropicana (FT) watershed in Las Vegas, Nevada. An extreme storm, defined as a 100‐year return period storm, is selected from historical records and perturbed to future climatic conditions with respect to multimodel multiscenario (A1B, A2, B1) bias corrected and spatially disaggregated data from the World Climate Research Programme's (WCRP's) database. The cumulative annual precipitation for each 30‐year period shows a continuous decrease from 2011 to 2099; however, the summer convective storms, which are considered as extreme storms for the study area, are expected to be more intense in future. Extreme storm events show larger changes in streamflow under different climate scenarios and time periods. The simulated peak streamflow and total runoff volume shows an increase from 40% to more than 150% (during 2041‐2099) for different climate scenarios. This type of analysis can help evaluate the vulnerability of existing flood control system and flood control policies.
Millimeter-wave stepped series array with LTCC

The series fed antenna arrays are widely used to minimize the feeding losses. A novel method to control the coupling/admittance between the series array elements is studied. In this work, two substrate integrated waveguide (SIW) fed aperture coupled 1×4 patch arrays are designed on the LTCC platform. The admittance of the array elements are controlled with the stepped SIW and the non-uniform aperture coupling technique. The simulated and measured −10-dB impedance bandwidth of the designed antenna is approx. 6-7%. At 75 GHz, the maximum boresight directivity and realized gain of the designed antennas are 12 dB and 9 dBi, respectively. Additionally, a microstrip line (MSL)-SIW vertical transition structure is designed to facilitate the multi-layered RF structure in LTCC.
Training Sparse Neural Networks with Knowledge Distillation

Deep Neural Networks (DNN) are powerful machine learning models for a large number of applications. However, they may have an enormous number of parameters and require large amounts of memory and computational resources and thus incur a high energy consumption, which makes their use for edge computing difficult. Several approaches have been proposed to alleviate this problem [5-7], e.g. pruning, quantisation or architectural optimisations such as Neural Architecture Search. Although more and more efficient solutions exist also on the practical side (TensorFlow Lite, PyTorch quantization, NVIDIA Tensor RT etc.), more fundamental research is still required to reduce the complexity of these models and reduce the inherent redundancy in the parameters. On a more general level, a major concern in reducing the energy consumption related to AI in the cloud as well as on the edge is to make these models more efficient and more accessible to a larger public.
Channel Networks: A Geomorphological Perspective

The study of channel networks has been dominated since 1966 by the random model. However, recent work has shown (1) that although the topological properties of small networks conform to the random model more closely than those of large ones, even small networks exhibit systematic deviations from topological randomness and (2) that the topological and length properties of channel networks are controlled to a large degree by the spatial requirements of subbasins and the need for these subbasins to fit together in space, by the size, sinuosity, and migration rate of valley bends, and by the length and steepness of valley sides. The factors that control the density properties of channel networks vary with the scale of the investigation and the geomorphic processes governing channel initiation. Although progress has been made toward a satisfactory stream junction angle model, further work is needed. The evolution of channel networks has been investigated by a variety of methods, including the development of conceptual and simulation models, the monitoring of small-scale badland and experimental drainage basins, and the substitution of space for time. The morphology of most channel networks is largely inherited from the past or strongly influenced by inherited forms. Inasmuch as there is no way of ever knowing the origin or complex history of such networks, the use of stochastic models in their study seems unavoidable.
A parameterization of aerosol activation: 2. Multiple aerosol types

A parameterization of the activation of a lognormal size distribution of aerosols to form cloud droplets is extended to the case of multiple externally mixed lognormal modes, each composed of a uniform internal mixture of soluble and insoluble material. The Kohler theory is used to relate the aerosol size distribution and composition to the number activated as a function of maximum supersaturation. The supersaturation balance is used to determine the maximum supersaturation, accounting for particle growth both before and after the particles are activated. Comparison of the parameterized activation of two competing aerosol modes with detailed numerical simulations of the activation process yields agreement to within 10% under a wide variety of conditions, including diverse size distributions, number concentrations, compositions, and updraft velocities. The parametization error exceeds 10% only when the mode radius of the two size distributions differs by an order of magnitude. Errors for the mass fraction activated are always much less than errors for the number fraction activated.
Geochronology, geochemistry, and petrogenesis of the Maçka subvolcanic intrusions: implications for the Late Cretaceous magmatic and geodynamic evolution of the eastern part of the Sakarya Zone, northeastern Turkey

The Maçka subvolcanic intrusions (MSIs) in the eastern part of the Sakarya zone, northeastern Turkey, play a critical role in understanding the petrogenetic and geodynamic processes that took place during the growth of Late Cretaceous arc crust of this region. U–Pb zircon (79.97 ± 0.97 Ma) and two 40Ar–39Ar amphibole ages (average 81.37 ± 0.5 Ma) indicate that the MSIs were emplaced in Late Cretaceous (Campanian) time into the coeval volcanic rocks. A slightly younger zircon fission track (FT) age (73 ± 9 Ma) points to a rapid exhumation and cooling after crystallization. The intrusions are observed in areas less than 1 km2 in the field and contain abundant mafic microgranular enclaves (MMEs). The host rocks (HRs) are entirely composed of tonalite (SiO2 = 63–65 wt.%, Mg# = 43–52), and the MMEs are gabbro-diorite in composition (SiO2 = 53–57 wt.%, Mg# = 45–48). Both the HRs and the MMEs are I-type, high-K calc-alkaline in composition and display a metaluminous character. They are characterized by geochemical features typical for magmas of subduction-related environments. Chondrite-normalized REE patterns are moderately fractionated [(La/Yb)N = 6–11] and display slightly negative Eu anomalies (Eu/Eu* = 0.7–0.9), with weak concave-upward REE patterns, suggesting that amphibole fractionation played a role during their evolution. The MMEs have slightly different ISr (0.7081–0.7085) and εNd (−5.0 to −5.4) values compared with those of their HRs (ISr = 0.7084–0.7087 and εNd = −5.7 to −6.9), indicating that variable amounts of crustal and mantle components were involved in the generation of parental magma to these rocks. All of these data, combined with those of previous regional studies, suggest that the MSIs are hybrid in origin, produced by the mixing of enriched lithospheric mantle- and lower crust-derived melts in an extensional arc setting that was caused by slab rollback.
The potential of digital filtering of generic topographic data for geomorphological research

High resolution terrain models generated from widely available Interferometric Synthetic Aperture Radar (IfSAR) and digital photogrammetry are an exciting resource for geomorphological research. However, these data contain error, necessitating pre‐processing to improve their quality. We evaluate the ability of digital filters to improve topographic representation, using: (1) a Gaussian noise removal filter; (2) the proprietary filters commonly applied to these datasets; and (3) a terrain sensitive filter, similar to those applied to laser altimetry data. Topographic representation is assessed in terms of both absolute accuracy measured with reference to independent check data and derived geomorphological variables (slope, upslope contributing area, topographic index and landslide failure probability) from a steepland catchment in northern England. Results suggest that proprietary filters often degrade or fail to improve precision. A combination of terrain sensitive and Gaussian filters performs best for both IfSAR and digital photogrammetry datasets, improving the precision of photogrammetry digital elevation models (DEMs) by more than 50 per cent relative to the unfiltered data. High‐frequency noise and high‐magnitude gross errors corrupt geomorphological variables derived from unfiltered photogrammetry DEMs. However, a terrain sensitive filter effectively removes gross errors and noise is minimized using a Gaussian filter. These improvements propagate through derived variables in a landslide prediction model, to reduce the area of predicted instability by up to 29 per cent of the study area. Interferometric Synthetic Aperture Radar is susceptible to removal of topographic detail by oversmoothing and its errors are less sensitive to filtering (maximum improvement in precision of 5 per cent relative to the raw data). Copyright © 2008 John Wiley and Sons, Ltd.
Barzilai–Borwein-like rules in proximal gradient schemes for ℓ
 1
 -regularized problems

We propose a novel steplength selection rule in proximal gradient methods for minimizing the sum of a diﬀerentiable function plus an (cid:96) 1 -norm penalty term. The proposed rule modiﬁes one of the classical Barzilai-Borwein steplength, extending analogous results obtained in the context of gradient projection methods for constrained optimization. We analyze the spectral properties of the Barzilai-Borwein-like steplength when the diﬀerentiable part is quadratic, showing that its reciprocal lies in the spectrum of the submatrix of the Hessian matrix that depends on both the nonzero and the nonoptimal zero components of the current iterate, allowing for acceleration eﬀects when the optimal zero components start to be identiﬁed. Furthermore, we insert the modiﬁed rule into a proximal gradient method with a nonmonotone linesearch, for which we prove global convergence towards a stationary point. Numerical experiments show the ability of the proposed rule to sweep the spectrum of the reduced Hessian on a series of quadratic (cid:96) 1 -regularized problems, as well as its eﬀectiveness in recovering the ground truth in a least squares regularized problem arising in image restoration.
Interpolating diffracted multiples with prediction-error lters

Diffracted multiples are a persistent problem, especially in the cross-line direction. Methods to remove these multiples typically require dense and complete sampling. I use nonstationary prediction-error lters to interpolate extra shots in the in-line direction and extra receivers in the cross-line direction. The dimensionality of the interpolation does not make a big difference in the in-line direction, but makes a large difference in the cross-line direction. This is shown with several tests on a synthetic dataset.
The Hot Water Supply of the Hot Springs, Arkansas

An investigation of the geology of the hot springs in the Hot Springs National Park was recently undertaken for the purpose of determining whether the supply of hot water can be increased. Some new facts were obtained, earlier work critically examined, and recommendations made. The problem is intimately related to the ultimate origin of the water. Thus an investigation begun solely for economic reasons led to a consideration of one of the most
Guessing on Dominant Paths: Understanding the Limitation of Wireless Authentication Using Channel State Information

—The channel state information (CSI) has been extensively studied in the literature to facilitate authentication in wireless networks. The less focused is a systematic attack model to evaluate CSI-based authentication. Existing studies generally adopt either a random attack model that existing designs are resilient to or a specific-knowledge model that assumes certain inside knowledge for the attacker. This paper proposes a new, realistic attack model against CSI-based authentication. In this model, an attacker Eve tries to actively guess a user Alice’s CSI, and precode her signals to impersonate Alice to the verifier Bob who uses CSI to authenticate users. To make the CSI guessing effective and low-cost, we use theoretical analysis and CSI dataset validation to show that there is no need to guess CSI values in all signal propagation paths. Specifically, Eve can adopt a Dominant Path Construction (DomPathCon) strategy that only focuses on guessing the CSI values on the first few paths with the highest channel response amplitude (called dominant paths). Comprehensive experimental results show that DomPathCon is effective and achieves up to 61% attack success rates under different wireless network settings, which exposes new limitations of CSI-based authentication. We also propose designs to mitigate the adverse impact of DomPathCon.