Miracle-dz/UniFAR-FTUs huggingface dataset:
Adapted SETAR model for lithuanian HCPI time series

We present adapted SETAR (self-exciting threshold autoregressive) model, which enables simultaneous estimation of nonlinearity and unobserved time series components. This model was tested on real Lithuanian harmonised consumer price index (HCPI) time series, covering the period from January 1996 to December 2009. The results show that adapted SETAR model is able to capture features of the real time series with complex nature. ARIMA model has also been used for the same time series for the comparison. Evaluated models and results of the comparison are presented in this work.
Nonadiabaticity in Quantum Pumping Phenomena under Relaxation

The ability to control quanta shown by quantum pumping has been intensively studied, aiming to further develop nano fabrication. In accordance with the fast progress of the experimental techniques, the focus on quantum pumping extends to include the quicker transport. For this purpose, it is necessary to remove the “adiabatic” or “slow” condition, which has been the central concept of quantum pumping since its first proposal for a closed system. In this article, we review the studies which go beyond the conventional adiabatic approximation for open quantum systems to transfer energy quanta and electron spins with using the full counting statistics. We also discuss the recent developments of the nonadiabatic treatments of quantum pumping.
Virial clouds explaining the observed rotational asymmetry in the galactic halos

Rotation of galactic objects has been seen in the CMB that could be ascribed to molecular hydrogen clouds with, or without, dust contamination and contamination from other sources. We model the clouds using the canonical ensemble for pure molecular hydrogen, a mixture of hydrogen helium and or dust, in order to constrain the physical parameters of these clouds. Since, the clouds are cold, we justify the use of the canonical ensemble by explicitly calculating the interaction between the hydrogen molecules and the CMB photons and determining the time required for thermal equilibrium to be reached, and show that there is enough time for the equilibrium to be attained.
New thick Silicon Carbide detectors: response to 14 MeV neutrons and comparison 1 with single-crystal diamonds

28 In this work we present the response of a new large volume 4H Silicon Carbide (SiC) detector to 14 29 MeV neutrons. The device has an active thickness of 100 μm (obtained by epitaxial growing) and an 30 active area of 25 mm 2 . Tests were conducted at the ENEA-Frascati Neutron Generator facility by 31 using 14.1 MeV neutrons. The SiC detector performance was compared to that of Single-Crystal 32 Diamond (SCD) detectors. The SiC response function was successfully measured and revealed a very 33 complex structure due to the presence in the detector of both Silicon and Carbon atoms. the SiC manufacturing the new achievements in terms of relatively large areas (up 1x1 cm 2 ) and a wide range of thicknesses them an interesting alternative to diamond detectors in limited space and high neutron fluxes are neutron cameras in-vessel tokamak measurements for the new generation fusion machines such as ITER. absence of instabilities during neutron irradiation and the capability to withstand high neutron fluences and to
Compact dual‐band implantable planar inverted‐F antenna with bandwidth enhancement

In this paper, a miniaturized planar inverted‐F antenna (PIFA) with a volume of 49.5 mm3 is proposed for biomedical implantable devices, operating in Medical Implant Communications Service (MICS, 402‐405 MHz) band and Industrial, Scientific, and Medical (ISM, 2.40‐2.48 GHz) band. It has a wide operating bandwidth in MICS band. The initial PIFA is designed with dual‐band performance, where the lower band is formed by quarter‐guided‐wavelength resonance and the higher band is formed by two‐guided‐wavelength resonance. Furthermore, by etching open‐slots between short and feed on the ground, a new resonance is introduced and moved towards the fundamental one, expanding the bandwidth in MICS band. Also, the introduction of slots lowers the initial resonant frequency in higher band, meeting the frequency demands of ISM band. Finally, the proposed antenna is measured in pork as well as skin‐mimicking gels, showing a bandwidth of 50.7% and 38% in MICS band, and 13.9% and 6.9% in ISM band.
Incremental Capacity Analysis-Based Impact Study of Diverse Usage Patterns on Lithium-Ion Battery Aging in Electrified Vehicles

Aging assessment is critical for lithium-ion batteries (LIBs) as the technology of choice for energy storage in electrified vehicles (EVs). Existing research is mainly focused on either increasing modeling precision or improving algorithm efficiency, while the significance of data applied for aging assessment has been largely overlooked. Moreover, reported studies are mostly confined to a specific condition without considering the impacts of diverse usage patterns on battery aging, which is practically challenging and can greatly affect battery degradation. This paper addresses these issues through incremental capacity (IC) analysis, which can both utilize data directly available from on-board sensors and interpret degradations from a physics-based perspective. Through IC analysis, the optimal health feature (HF) and the state of charge (SOC)-based optimal data profile for battery aging assessment have been identified. Four stress factors, i.e., depth-of-discharge (DOD), charging C-rate, operating mode, and temperature, have been selected to jointly characterize diverse usage patterns. Impact analysis of different stress factors through the optimal HF with the SOC-based optimal data profile from aging campaign experiments have generated practical guidance on usage patterns to improve battery health monitoring and lifetime control strategies.
Risk and the regulation of communication in relation to service users and providers experiences of forensic mental health care

This thesis presents a qualitative study of service users’ and providers’ experiences of one UK inner city medium secure forensic mental health service. The study focused on the processes through which service users and providers attempted to manage their risk status. Aims The study had three main aims: 1. To develop a greater understanding of the complex formal and informal risk assessment and management processes operating in medium secure forensic mental health services. 2. To investigate the processes through which providers and users of medium secure services attempt to manage risk by balancing safety with the promotion of service user autonomy. 3. To generate recommendations derived from the study findings for the development of forensic mental health services. Methodology and methods A qualitative grounded theory methodology was used to explore forensic mental health care from the perspectives of service users and providers. Data were collected through lightly structured interviews and participant observation. Participant observation occurred over a period of eighteen month. Activities that took place within the service were observed and spontaneous informal conversations between the researcher and participants recorded. A theoretical sampling approach was adopted. Design, data collection and analysis were done in cycles so that the direction of inquiry could be grounded in participants’ concerns. Eventually, data collection and analysis were organised around the core category of the regulation of communication. Findings The regulation of communication was analysed in relation to three other important categories: the management of own risk status; the dynamics of self-forming groups; and external role expectations. It is hypothesized that the regulation of communication provided a means of attempting to meet competing role expectations and thus manage risk status. Conclusions The study provides an insight into how service users and providers situated within a complex and conflicted system may attempt to manage their risk status through regulating their communication. This strategy enables service users and providers to attempt to achieve the highly problematic mission of the forensic mental health service; to provide mental health care and public protection. However, organisational learning and risk management may be hampered by the regulation of communication as information regarding clinical and organisational risks may be silenced within official organisational systems. Furthermore underlying problems may remain unresolved for users and providers who feel unable to express dissent.
Probing into the evolution of a polymorphic semiconductor at nanoscale / Alireza Yaghoubi Taemeh

Graphene is considered to be the most likely candidate for the post-silicon era however the problem with its zero band gap is challenging to overcome. A close relative of silicon, silicon carbide is expected to have a stable 2D polymorph which happens to be a wide-gap semiconductor. Unfortunately, the so-called silagraphene has proven to be elusive. To date, neither theoretical, nor experimental studies have been conclusive. In this thesis, we employ computational methods to determine the stable arrangements of silagraphene, and establish their accurate band structure. We also experimentally validate our models by preparing and characterizing a number of graphitic features. Silagraphene exhibits a wide spectrum of optoelectronic properties (360-690 nm) as well as an unusual band structure with highly anisotropic transport properties, which originates from its non-dispersive band near its K-point. This feature makes direct-indirect gap crossover extremely sensitive to ambient conditions, making silagraphene suitable for a range of sensors. We also demonstrate that a particular arrangement of atoms that represent 9R-SiC occurs when the metastable AA’ silagraphene is relaxed. This structure has a very similar microscopic and crystallographic signature to that of 3C-SiC and 15R-SiC, respectively, which might explain why it has evaded detection until now. Its vibrational footprint on the other hand is quite distinct thanks to its fewer active phonon modes. Surprisingly, the indirect band gap of this polytype is slightly wider than that of 2H-SiC, despite its lower hexagonality, and is equivalent to that of GaN. Due to its unique conduction band structure, 9R-SiC may also exhibit improved electron transport properties as compared to other SiC polytypes; and therefore could be suitable for high-frequency and high-voltage applications.
Neuro-Fuzzy-Based Adaptive Dynamic Surface Control for Fractional-Order Nonlinear Strict-Feedback Systems With Input Constraint

This article investigates the issue of neuro-fuzzy-based adaptive dynamic surface control (DSC) for uncertain fractional-order (FO) nonlinear systems in strict-feedback form where input constraint is considered in the systems. In the recursive steps, the neuro-fuzzy network systems are employed to deal with the unknown nonlinear terms existing in systems. Furthermore, based on a DSC scheme, a modified FO filter is constructed to overcome the problem of explosion of complexity caused by the traditional backstepping design. Moreover, according to the FO Lyapunov stability theory, a neuro-fuzzy-based adaptive controller is designed to guarantee all the signals of FO closed-loop systems tend to be bounded. Finally, the three examples are provided to verify the validity and superiority of the presented control scheme.
Flow over natural or engineered surfaces: an adjoint homogenization perspective

Natural and engineered surfaces are never smooth, but irregular, rough at different scales, compliant, possibly porous, liquid impregnated or superhydrophobic. The correct numerical modelling of fluid flowing through and around them is important but poses problems. For media characterized by a periodic or quasi-periodic microstructure of characteristic dimensions smaller than the relevant scales of the flow, multiscale homogenization can be used to study the effect of the surface, avoiding the numerical resolution of small details. Here, we revisit the homogenization strategy using adjoint variables to model the interaction between a fluid in motion and regularly micro-textured, permeable or impermeable walls. The approach described allows for the easy derivation of auxiliary/adjoint systems of equations which, after averaging, yield macroscopic tensorial properties, such as permeability, elasticity, slip, transpiration, etc. When the fluid in the neighbourhood of the microstructure is in the Stokes regime, classical results are recovered. Adjoint homogenization, however, permits simple extension of the analysis to the case in which the flow displays nonlinear effects. Then, the properties extracted from the auxiliary systems take the name of effective properties and do not depend only on the geometrical details of the medium, but also on the microscopic characteristics of the fluid motion. Examples are shown to demonstrate the usefulness of adjoint homogenization to extract effective tensor properties without the need for ad hoc parameters. In particular, notable results reported herein include:(i) an original formulation to describe filtration in porous media in the presence of inertial effects;(ii) the microscopic and macroscopic equations needed to characterize flows through poroelastic media;(iii) an extended Navier’s condition to be employed at the boundary between a fluid and an impermeable rough wall, with roughness elements which can be either rigid or linearly elastic;(iv) the microscopic problems needed to define the relevant parameters for a Saffman-like condition at the interface between a fluid and a porous substrate; and(v) the macroscopic equations which hold at the dividing surface between a free-fluid region and a fluid-saturated poroelastic domain.
A Study to Further Understand the Link Between Immersion and Flow

Flow and immersion are states of extreme concentration on an activity. For serious games, that is games, which focus on achieving learning effects in players, high flow and immersion during gameplay can help to improve these learning effects. Both flow and immersion are currently only measured using questionnaires, which is both delayed and subjective. This work introduces a study, which aims to further the understanding of how flow and immersion are linked and to ease future work towards a new measurement method using physiological data.
Studies on Fractionalization and Topology in Strongly Correlated Systems from Zero to Two Dimensions

STUDIES ON FRACTIONALIZATION AND TOPOLOGY IN STRONGLY CORRELATED SYSTEMS FROM ZERO TO TWO DIMENSIONS Yichen Hu Charles L. Kane The interplay among symmetry, topology and condensed matter systems has deepened our understandings of matter and lead to tremendous recent progresses in finding new topological phases of matter such as topological insulators, superconductors and semi-metals. Most examples of the aforementioned topological materials are free fermion systems, in this thesis, however, we focus on their strongly correlated counterparts where electron-electron interactions play a major role. With interactions, exotic topological phases and quantum critical points with fractionalized quantum degrees of freedom emerge. In the first part of this thesis, we study the problem of resonant tunneling through a quantum dot in a spinful Luttinger liquid. It provides the simplest example of a (0+1)d system with symmetry-protected phase transitions. We show that the problem is equivalent to a two channel SU(3) Kondo problem and can be mapped to a quantum Brownian motion model on a Kagome lattice. Utilizing boundary conformal field theory, we find the universal peak conductance and compute the scaling behavior of the resonance line-shape. For the second part, we present a model of interacting Majorana fermions that describes a superconducting phase with a topological order characterized by the Fi-
Approximate Solutions of the Time-Fractional Kadomtsev-Petviashvili Equation with Conformable Derivative

In this study, residual power series method, namely RPSM, is applied to solve time-fractional Kadomtsev-Petviashvili (K-P) differential equation. In the solution procedure, the fractional derivatives are explained in the conformable sense. The model is solved approximately and the obtained results are compared with exact solutions obtained by the sub-equation method. The results reveal that the present method is accurate, dependable, simple to apply and a good alternative for seeking solutions of nonlinear fractional partial differential equations.
Functional connectivity of fractal and oscillatory cortical activity is distinct

Electrophysiological signals of cortical population activity contain oscillatory and fractal (1/frequency) components. However, the relationship between these components is unclear. To address this, we investigated human resting-state MEG recordings. We applied combined source-analysis, signal orthogonalization and irregular-resampling autospectral analysis (IRASA) to separate oscillatory and fractal components of the MEG signals at the cortical source-level. We then compared the spatial correlation structure of fractal and oscillatory components across the human cortex. We found that these correlation structures differed, which suggests different mechanisms underlying fractal and oscillatory population signal components.
Performance enhancement techniques for low-voltage bulk-driven circuits

In recent years, the use of battery operated electronic devices such as cell phones, medical devices, gaming consoles, music players and laptops has been increasing. Low-power design is important for battery-operated devices. Such devices employs system-on-chip (SoC) for improved performance, lower cost and smaller size and it generally consists of analog, digital and mixed-signal circuits. The speed of integrated circuits has been increased as a result of scaling down in feature-size of CMOS devices. Also, the maximum allowable supply voltage of thin-oxide CMOS devices is reduced to ensure the reliability of circuit. However, the threshold voltage of advanced CMOS devices is not scaled down at the same rate as that of the supply voltage, in order to limit their leakage current. The smaller channel length CMOS devices and low-supply voltage benefits the digital circuits in terms of higher speed, better integration and power efficiency. On other hand, short channel effects and second-order effects degrades the analog circuits performance. While this evolution in CMOS technology is very beneficial for digital, and is not so for analog circuits. The sizing of analog circuits to meet the desired performance is challenging since the short-channel effects and layout-dependent effects becomes a critical issue in sub-nanometer CMOS process. These issues demand a development of a systematic design procedure for circuit design by considering some major effects of sub-nanometer nodes to meet the desire specifications. Operational transconductance amplifier (OTA) is a basic building block in analog and mixed-signal systems. The performance of OTA influences the functioning of analog and mixed-signal circuits such as active filters, ADC/DAC, low-dropout regulators and buffer amplifiers. The OTA performance parameters such as gain, gainbandwidth, slew rate, linearity and noise undergo degradation under low-voltage environment. Therefore, topological modifications to the conventional techniques are necessary to enhance the performance of OTA when they are operating under low-voltage environment. The reliability becomes a major concern in sub-nanometer technology nodes. The performance parameters undergo large deviations when circuits are subjected to unavoidable process-voltage-temperature (PVT) variations. These demand for development of analog circuits which are PVT insensitive. The conventional techniques based on gate-driven circuits are not suitable for low-voltage environment. Therefore, this research work is to develop low-voltage and low-power OTAs using bulk-driven MOSFET with improved performance in sub-nanometer CMOS technology.
Metallic Slit-Plate Dampers: Damage Evaluation with Metal Magnetic Memory Technique and Application to Structures with Rocking Columns

Inelastic deformation of metallic materials is one of the most effective mechanisms for the dissipation of energy input to a structure by an earthquake. Metallic dampers are special devices that resort to this source of energy dissipation, proving to be a cost-efficient solution for the seismic protection of structures. Two important issues arise when implementing metallic dampers in real structures: (1) Inelastic deformations cause damage that must be quantified after an earthquake to decide upon their eventual replacement; (2) dampers must possess an energy dissipation capacity large enough to endure severe earthquakes. This paper focuses on a particular type of metallic damper consisting of slit-plates made of stainless steel, applied to reinforced concrete frames with rocking columns at the first story. In particular, a new damage index based on the metallic magnetic memory (MMM) method is proposed and validated experimentally to quantify the damage of slit plate dampers subjected to cyclic loadings. Further, the seismic response of a frame with rocking columns that incorporate the damper is obtained to demonstrate that it can endure severe earthquakes without failing, and to emphasize the relevance of the proposed MMM damage index that would make its replacement after a severe earthquake unnecessary.
Joint Shuffled Scheduling Decoding Algorithm for DP-LDPC Codes-Based JSCC Systems

In this letter, a joint shuffled scheduling decoding algorithm for double-protograph low-density parity-check (DP-LDPC) codes-based joint source-channel coding (JSCC) schemes is presented. The proposed algorithm adopts the shuffled scheduling method to both source decoder and channel decoder, and can improve convergence speed and reduce the decoding complexity. In addition, a unique phenomenon named unequal convergence rates is revealed at the same time. The proposed algorithm can terminate this phenomenon with faster decoding. The results show that this algorithm has faster convergence speed and better error performance, compared with the traditional joint belief propagation (BP) decoding algorithm.