Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting the travel time of arterial traffic using particle filter with speed matrix

Travel time prediction is an essential part of intelligent transportation system applications. However, the existing travel time prediction methods mainly focus on the freeway due to its simplicity and the high coverage of sensors and few researches have been conducted for the urban arterial road. Consequently, a travel time prediction algorithm based on particle filter is proposed in this paper to predict short-term travel time of the arterial traffic with historical floating car data and the concept of speed matrix is developed to illustrate the spatiotemporal properties of the arterial traffic. Unlike previous travel time prediction methods, the proposed algorithm uses particles with corresponding weights to model the traffic trend in the historical data instead of state-transition function and the weight for each particle are calculated with similarities between the speed matrix of the particle and the current traffic pattern. Moreover, a resampling process is developed to solve the degeneracy problem of the particles by replacing the low-weight particles with historical data. A real floating car dataset of 10357 taxis over a period of 3 months within Beijing is utilized to evaluate the performances of the algorithms. The proposed algorithm has the least errors by comparing with other three algorithms.
Helmholtz Natural Modes: the universal and discrete spatial fabric of electromagnetic wavefields

The interaction of electromagnetic waves with matter is at the foundation of the way we perceive and explore the world around us. In fact, when a field interacts with an object, signatures on the object's geometry and physical properties are recorded in the resulting scattered field and are transported away from the object, where they can eventually be detected and processed. An optical field can transport information through its spectral content, its polarization state, and its spatial distribution. Generally speaking, the field's spatial structure is typically subjected to changes under free-space propagation and any information therein encoded gets reshuffled by the propagation process. We must ascribe to this fundamental reason the fact that spectroscopy was known to the ancient civilizations already, and founded as modern science in the middle of seventeenth century, while to date we do not have an established scientific of field of 'spatial spectroscopy' yet. In this work we tackle this issue and we show how any field, whose evolution is dictated by Helmholtz equation, contains a universal and invariant spatial structure. When expressed in the framework of this spatial fabric, the spatial information content carried by any field reveals its invariant nature. This opens the way to novel paradigms in optical digital communications, inverse scattering, materials inspection, nanometrology and quantum optics.
Molecular, pathological and hematobiochemical detection of canine parvovirus in dogs

: C anine parvovirus (CPV) infection is considered a common cause of puppies mortality less than 6 months. Despite treatment with available therapies, many dogs still died from CPV related complications. This study aims to describe the clinical investigation, pathological findings, and molecular diagnosis of canine parvovirus infection in dogs. A total of thirty five samples, including blood and fecal samples were collected from dogs of different ages and breeds (German shepherd, Husky, Loloo, and Rottweiler puppies) to be used in this study. The study considered the dogs' history, clinical examination for vital parameters, alter-ation of haemogram, and fecal examination for detection of canine parvovirus antigen. 10 rectal swabs collected from dogs showing clinical signs of canine parvovirus enteritis were initially tested for CPV-2 using CPV Ag test kits rapid test. Results showed 9/10 of swabs were positive for CPV-2. For further in-vestigations, all swabs were carried out using molecular identification, through the extraction of Viral DNA and conventional PCR for the CPV-2, all samples gave positive results for CPV-2. Histopathological examination of the tongue, lung, kidney and intestine suggested the infection with CPV enteritis. leukopenia, neutropenia, lymphopenia, and thrombocytopenia with a significant increase in monocytic and eosinophilic count were recorded. A significant increase in serum total protein and serum globulin and a significant decrease in serum albumin were noticed. Serum ALT, AST, blood urea nitrogen (BUN), and serum creatinine were significantly increased. Samples that showed strong PCR products were sequenced and phylogenetic analyzed to detect the percentage of nucleotide sequence identity and divergence between CPV of this study and other reference strains. PCR and the sequence analysis confirmed canine parvovirus-2a as the etiology of the disease. Good management is advised to avoid secondary or severe dehydration and marked gastrointestinal fluid hypovolemia with loss of protein and bacterial sepsis.
Measurement of the Beta-Decay Lifetime of Magnetically Trapped Ultracold Neutrons.

SCHELHAMMER, KARL WILLIAM. Measurement of the Beta-Decay Lifetime of Magnetically Trapped Ultracold Neutrons. (Under the direction of Paul Huffman.) In this dissertation, the progress towards the measurement of the lifetime of magnetically trapped ultracold neutrons is discussed. Neutrons are trapped in a conservative potential using a series of superconducting magnets arranged in an Ioffe-type field geometry. Neutron energy is dissipated inside the trapping region by undergoing superthermal inelastic downscattering in isotopically purified superfluid 4He that also acts as a scintillator for decay events. Light from the decays are detected using a pair of photomultiplier tubes (PMTs) and decay events are logged using high-speed digitizers. To remove the large amounts of background events present in the data set, a set of software cuts was developed that greatly reduces the background observed for a typical data series. In addition, background measurement runs are subtracted from the trapping data to further reduce background events that are common to both configurations. Preliminary results of the trap lifetime are reported, and the systematic uncertainty is estimated. © Copyright 2013 by Karl William Schelhammer
Wastewater-Based Epidemiology to Describe the Evolution of SARS-CoV-2 in the South-East of Spain, and Application of Phylogenetic Analysis and a Machine Learning Approach

The COVID-19 pandemic has posed a significant global threat, leading to several initiatives for its control and management. One such initiative involves wastewater-based epidemiology, which has gained attention for its potential to provide early warning of virus outbreaks and real-time information on its spread. In this study, wastewater samples from two wastewater treatment plants (WWTPs) located in the southeast of Spain (region of Murcia), namely Murcia, and Cartagena, were analyzed using RT-qPCR and high-throughput sequencing techniques to describe the evolution of SARS-CoV-2 in the South-East of Spain. Additionally, phylogenetic analysis and machine learning approaches were applied to develop a pre-screening tool for the identification of differences among the variant composition of different wastewater samples. The results confirmed that the levels of SARS-CoV-2 in these wastewater samples changed concerning the number of SARS-CoV-2 cases detected in the population, and variant occurrences were in line with clinical reported data. The sequence analyses helped to describe how the different SARS-CoV-2 variants have been replaced over time. Additionally, the phylogenetic analysis showed that samples obtained at close sampling times exhibited a higher similarity than those obtained more distantly in time. A second analysis using a machine learning approach based on the mutations found in the SARS-CoV-2 spike protein was also conducted. Hierarchical clustering (HC) was used as an efficient unsupervised approach for data analysis. Results indicated that samples obtained in October 2022 in Murcia and Cartagena were significantly different, which corresponded well with the different virus variants circulating in the two locations. The proposed methods in this study are adequate for comparing consensus sequence types of the SARS-CoV-2 sequences as a preliminary evaluation of potential changes in the variants that are circulating in a given population at a specific time point.
Ground-state and finite-temperature properties of correlated ultracold bosons on optical lattices

We investigate the ground-state and finite-temperature properties of the Bose-Hubbard model using the standard basis operator method applied to the equation of motion for Green's functions. We show that by introducing the self-consistent approach, the theory goes significantly beyond the mean-field approximation, allowing more-precise description of quantum and thermal fluctuations. For optical lattice systems with ultracold bosons, we find relevant quantitative agreement with numerical and experimental data. In particular, the presented method reveals the importance of thermal fluctuations in time-of-flight experiments. For the most reliable fitting of the visibility analytical curve to the experimental data, the value of temperature is determined and proximity to the quantum regime is discussed. The problem of identification of the superfluid--Mott-insulator phase boundary from time-of-flight experiments is also considered.
Functional differential equations of Peano-Baker type

The application of the moment method to a class of Fredholm integral equations leads to the study of both an infinite system of ordinary differential equations and a functional differential equation. Sufficient conditions are given that the solution to a truncated system of differential equations approximates the solutions to the original problem. A numerical algorithm for constructing approximate solutions is discussed.
Experimental characterization of NTD resist shrinkage

Simulation of negative tone development (NTD) resist has become a challenge for physical resist modeling. Traditionally, resist modeling was mainly limited to reaction-diffusion models for post exposure bake (PEB) and standard development rate models for simulating the pattern formation during the final development step. With some minor extensions, this simulation approach sufficiently predicted resist CDs and resist profile shapes that were in agreement with experimental data.3 For the latest NTD resists, this situation has changed. In contrast to positive tone development (PTD) resists, resist shrinkage is strongly impacting resist profile shapes. Furthermore, NTD resists induce strong proximity effects that require consideration of additional chemical resist properties in modeling and model calibration. In this paper we experimentally characterize and model the main properties of NTD photo-resists.
A robust SEM auto-focus algorithm using multiple band-pass filters

An auto-focus algorithm using multiple band-pass filters for a scanning electron microscope (SEM) is proposed. To acquire sharp images of various kinds of defects by SEM defect observation in semiconductor manufacturing, the auto-focus process must be robust. A method for designing a band-pass filter for calculating the ‘focus measure’ (a key parameter of the auto-focus process) is proposed. To achieve an optimal specific frequency response for various images, multiple band-pass filters are introduced. As for the proposed method, two series of focus measures are calculated by using multiple band-pass filters independently, and it is selected according to reliability of the series of focus measures. The signal-to-noise ratio of an image for acceptable auto-focus precision is determined by simulation using pseudo images. In an experiment using the proposed method with real images, the success rate of auto focus is improved from 79.4% to 95.6%.
An investigation into reducing the uncertainties associated with the leading order hadronic contributions to the anomalous magnetic moment of the muon

Comparison between theoretical calculations of the anomalous magnetic dipole moment of the muon and its experimentally measured value provide one of the most accurate tests of the standard model and possibly the only current indication of beyond the standard model physics. The disagreement between theory and experiment at the time of writing is 3.4 standard deviations. The errors in the theoretical calculation of the anomalous magnetic moment are dominated by those arising from the hadronic sector. Due to asymptotic freedom, perturbative QCD is inapplicable at low energies, meaning that calculations at these energies must utilise experimental cross sections. This requires processing and synthesising data from many different experiments and using this data to predict a low energy, hadronic contribution to the anomalous magnetic moment of the muon. In order to investigate this discrepancy further, one must examine and attempt to reduce the uncertainties in the data. Many of these uncertainties are unavoidable experimental or statistical errors, but a large proportion of the errors arise as a result of the combination of different data sets from different experiments, in particular how the different experiments accounted for radiative corrections. In this project an investigation is undertaken into how the various experiments dealt with the radiative corrections and how one might decrease the uncertainty in the anomalous magnetic moment measurement by formulating a procedure to categorise which data sets should be included and which not.
Interfacial modification to optimize stainless steel photoanode design for flexible dye sensitized solar cells: an experimental and numerical modeling approach

In the present research, we report fabrication, experimental characterization and theoretical analysis of semi and full flexible dye sensitized solar cells (DSSCs) manufactured on the basis of bare and roughened stainless steel type 304 (SS304) substrates. The morphological, optical and electrical characterizations confirm the advantage of roughened SS304 over bare and even common transparent conducting oxides (TCOs). A significant enhancement of about 51% in power conversion efficiency is obtained for flexible device (5.51%) based on roughened SS304 substrate compared to the bare SS304. The effect of roughening the SS304 substrates on electrical transport characteristics is also investigated by means of numerical modeling with regard to metal–semiconductor and interfacial resistance arising from the metallic substrate and nanocrystalline semiconductor contact. The numerical modeling results provide a reliable theoretical backbone to be combined with experimental implications. It highlights the stronger effect of series resistance compared to schottky barrier in lowering the fill factor of the SS304-based DSSCs. The findings of the present study nominate roughened SS304 as a promising replacement for conventional DSSCs substrates as well as introducing a highly accurate modeling framework to design and diagnose treated metallic or non-metallic based DSSCs.
KETJU: Post-Newtonian-Accurate Supermassive Black Hole Dynamics in GADGET-3

Abstract We present KETJU, a new regularized tree code based on algorithmic chain regularization and implemented into Gadget-3. This new code is able to follow simultaneously galactic-scale dynamical and astrophysical processes and the small-scale supermassive black hole binary dynamics. We present here the general idea of this new code and show a test simulation of black hole binary dynamics in a galaxy merger of two massive elliptical galaxies. The separation of the black holes at the time of the merger is several orders of magnitude smaller in KETJU than when compared to ordinary Gadget-3 simulations. The merger timescale is also longer by 100 − 200 Myr.
LETHE: A Saturation-Based Tool for Non-Classical Reasoning

We present the saturation-based reasoning system Lethe. Lethe is a tool that can be used for uniform interpolation, forgetting, TBox abduction and logical di(cid:27)erence. To solve these problems, Lethe uses saturation-based reasoning to eliminate certain symbols from an ontology, such that entailments in the remaining vocabulary are preserved. This is known as forgetting or uniform interpolation. Lethe is an implementation of our forgetting methods for various expressive description logics, and can be used as a Java library and as a standalone tool for the mentioned reasoning tasks. We give a high level description of the calculi used by Lethe , describe the reasoning algorithm implemented in Lethe , and give an evaluation of the system on realistic ontologies.
Quantum thermalization of a single mode radiation field by atom reservoir

This study concerns with the thermalization process of a single mode radiation field by an atomic reservoir. In particular, the temporal evolution of quantum thermalization of a single mode radiation field weakly coupled to an atomic reservoir analysed in the framework of a quantum micromaser model both analytically and numerically. The findings show that the system thermalizes by both multi-atom and multi-level atom reservoir. It’s shown that different reservoirs constitute different scaling laws with respect to their typical parameters on thermalization time. Moreover, a quantum reservoir parameter dependent thermalization time which can be used for faster heating or cooling a single radiation mode field derived analytically and verified numerically. We believe that obtained results will contribute convenient parameter selection options for expanding or reducing the open system thermalization time on demand. These results are of importance for boosting the efficiency of quantum photonic heat engines using radiation fields as working substances operating at finite time.
WAYS OF STUDYING IN E-LEARNING: THE ICT-SPACE-TIME CONTINUUM

There are many research related to learning styles in education. Among others, these approaches are based on experiential learning, VARK modalities, personal abilities, attitudes, and skills. Some of these theories have been used in online learning, which uses numerous ICT and devices, allowing each student to learn with different tools, to contact or not with other co-mates, to do personal tasks, to read content in public places, and many other possibilities. In this way, this paper proposes a psychometric scale related to the frequency of performing learning tasks by online students, and taking into account many of these current common situations related to personal and adaptative uses of ICT, spaces, and times. Using survey data for 930 online students at the Open University of Catalonia and exploratory and confirmatory analysis, a psychometric scale is proposed with six latent variables (p=0.000; CFI=0.961; TLI=0.952; RMSEA=0.071; SRMR=0.068), according to learning based on: 1) pedagogical tools for ICT-supported pedagogical practices: wikis, OER, multimedia, games, and mixed reality (5 ítems); 2) social connectivity with other students (3 ítems); 3) polychronic-multitasking learning (chronotopos) by mixing learning, personal, and work tasks (3 ítems); 4) seamless learning (chronochora) by combininig many devices and mobile learning (3 ítems); 5) awareness study-life learning (kairochora) by balancing family and habits (3 ítems); and 6) monochronic traditional learning (kairotopos) by doing only one planned taks in a personal place at home (3 ítems). Results allow us to know a validated instrument for assessing the way of studying by online learners when they add many ICT tools in their own personal learning contexts and environments. The results help to understand the ICT-space-time continuum in online education. Thus, this scale is very useful for lifelong e-learning institutions, which can use it for improving their quality standards.
MHD Stokes flow and heat transfer in a lid‐driven square cavity under horizontal magnetic field

This study considers the steady flow of a viscous, incompressible and electrically conducting fluid in a lid‐driven square cavity under the effect of a uniform horizontally applied magnetic field. The governing equations are obtained from the Navier‐Stokes equations including buoyancy and Lorentz force terms and the energy equation including Joule heating and viscous dissipation terms. These equations are solved iteratively in terms of velocity components, stream function, vorticity, temperature, and pressure by using radial basis function approximation. Particular solution, which is approximated by radial basis functions to satisfy both differential equation and boundary conditions, becomes the solution of the differential equation itself. Vorticity boundary conditions are obtained from stream function equation using finite difference scheme. Normal derivative of pressure is taken as zero on the boundary. The numerical results are obtained for several values of Hartmann number and Grashof number for the Stokes approximation (Re << 1). The results show that when the viscous dissipation is present, the flow and isolines concentrate through the cold wall forming boundary layers as Grashof number increases. An increase in the magnetic field intensity retards the effect of buoyancy force in the square cavity, whereas the movement of the upper lid causes buoyancy force to be dominant. The solution is obtained in a considerably low computational expense through the use of radial basis function approximations for the MHD equations. Copyright © 2017 John Wiley & Sons, Ltd.
IMPLEMENTASI METODE SIMPLE MULTI ATTRIBUTE RANKING TECHNIQUE DI DALAM MENENTUKAN LAHAN PENANAMAN TUMBUHAN SAGU

Tanaman sagu merupakan tumbuhan yang dapat dijadikan makanan pokok sumber karbohidrat pengganti beras. Tumbuhan ini banyak tumbuh di daerah timur Indonesia seperti Maluku dan Papua. Tumbuhan sagu tidak dapat tumbuh disembarang tempat. Terdapat beberapa lahan yang harus sesuai kriteria sehingga mampu ditanami sagu. Budidaya tanaman sagu dapat terjadi kegagalan apabila tidak di tanam di tempat yang semestinya sesuai habitat dan kondisi lingkungan. Agar penanaman sagu dapat berhasil kami melakukan penelitian penerapan pengambilan keputusan kecocokan lahan yang menjadi alternatif penanaman tumbuhan sagu. Penelitian ini memfokuskan implementasi metode SMART yang digunakan sebagai metode ilmiah pengambilan keputusan. Penerapan metode ini mampu menghasilkan hasil akhir keputusan yang sesuai dengan masukan nilai yang diberikan ke dalam kriteria wilayah lahan. Beberapa sampel wilayah telah kami lakukan komputasi dan memberikan hasil yang sesuai dengan perhitungan.
Limb Movement in Dynamic Situations Based on Generalized Cognitive Maps

The fundamental bases of how our brain solves different tasks of object manipulation remain largely unknown. Here we consider the problem of the limb movement in dynamic situations on an abstract cognitive level and propose a novel approach relying on: i) transformation of the problem from the limb workspace to the so-called hand-space, and ii) construction of a generalized cognitive map (GCM) in the hand-space. The GCM provides a trajectory that can be followed by the limb, which ensures an efficient collision-free movement and target catching in the workspace. Our numerical simulations confirm the approach feasibility but also reveal the problem complexity. We then validate the GCM-based solutions in real-life scenarios. We show that a GCM-equipped humanoid robot can catch a fly ball in a similar way as a human subject does. The static nature of the GCMs enables learning and automation of sophisticated cognitive behaviors exhibited by humans.