Miracle-dz/UniFAR-FTUs huggingface dataset:
SECOND ORDER MOMENTS OF SOLUTIONS OF PARABOLIC INITIAL BOUNDARY VALUE PROBLEMS WITH ε-CORRELATED RANDOM PARAMETERS

Due to the random character of input data of a great variety of technical and economical procedures it seems to be appropriate to model these procedures by stochastic initial boundary value problems (IBVP). This paper deals with IBVP for parabobc partial differential equations where a Neumann boundary condition is assumed to be a random field with a given probability distribution. We assume, that this random field possesses smooth paths and that it is homogeneous and short-range correlated with a small correlation length epsilon > 0. The main interest lies in the calculation of the moment functions of the solution of the considered problem, which depend on the chosen characteristics of the random influence. Based on the idea of an appropriate FEM discretisation we present several approximation procedures for the computation of the variance and correlation function of the discretised solution. Considering a numerical example the resulting variance functions of the introduced methods are compared with the results of a Monte Carlo simulation.
Geometrical constraint on shadowing in rough surfaces

By considering a one-dimensional cross-section through the rough surface, we derive a purely geometrical constraint on the statistical distribution of shadowed facet slopes that should be satisfied by any model of surface emissivity that includes the effect of self-shadowing. Our purpose is not to develop a single shadowing model, but to provide a condition that any valid shadowing model should satisfy. Although the emphasis of the presentation is theoretical, some practical ramifications also are discussed.
Cooperative networks in team invasion games: A systematic mapping review

Team invasion games are sports in which individual team members interact and exchange information to coordinate their behaviours and actions in pursuit of the common goal of winning matches. Researchers have used social network analysis to quantify the cooperative behaviours of sports teams (cooperative network analysis), yet this research exists across an array of disciplines and uses various methods. Therefore, accessibility for practitioners and researchers interested in using it to quantify team cooperation in team invasion games may be limited. This systematic mapping review aimed to identify, report and discuss research in this emerging research area. Articles were systematically searched in electronic databases and reference list scans resulting in 112 papers included. Football was the most studied sport (n = 91), and passing was the most observed interaction between players within a sports team (n = 107). This review further revealed a lack of consistency in reporting between the included studies with respect to nomenclature and network measures. A comprehensive map of the current literature on the use of cooperative network analysis in team invasion games is provided which can be used by practitioners and researchers tasked with or interested in analysing team performance.
Visual grouping under isoluminant condition: impact of mental fatigue

Instead of selecting arbitrary elements our visual perception prefers only certain grouping of information. There is ample evidence that the visual attention and perception is substantially impaired in the presence of mental fatigue. The question is how visual grouping, which can be considered a bottom-up controlled neuronal gain mechanism, is influenced. The main purpose of our study is to determine the influence of mental fatigue on visual grouping of definite information – color and configuration of stimuli in the psychophysical experiment. Individuals provided subjective data by filling in the questionnaire about their health and general feeling. The objective evidence was obtained in the specially designed visual search task were achromatic and chromatic isoluminant stimuli were used in order to avoid so called pop-out effect due to differences in light intensity. Each individual was instructed to define the symbols with aperture in the same direction in four tasks. The color component differed in the visual search tasks according to the goals of study. The results reveal that visual grouping is completed faster when visual stimuli have the same color and aperture direction. The shortest reaction time is in the evening. What is more, the results of reaction time suggest that the analysis of two grouping processes compete for selective attention in the visual system when similarity in color conflicts with similarity in configuration of stimuli. The described effect increases significantly in the presence of mental fatigue. But it does not have strong influence on the accuracy of task accomplishment.
Nonlinear plasmonic resonances in graphene nanostructures

Peculiar physical properties of graphene offer remarkable potential for advanced photonics, particularly in the area of nonlinear optics at deep-subwavelength scale. In this article, we use a theoretical and computational analysis to demonstrate an efficient mechanism for enhancing the third-harmonic generation in graphene diffraction gratings. By taking advantage of the relation between the resonance wavelength of localized surface-plasmon polaritons of graphene ribbons and disks their specific geometry, we can engineer the spectral response of graphene gratings so as strong plasmonic resonances exist at both the fundamental frequency and third-harmonic (TH). As a result of this dual resonance mechanism for optical near-field enhancement, the intensity of the TH can be increased greatly.
Co-annular Pipe Flow of Liquid and Gas in an Emulation of the Trachea

We investigate the continuous flow of a thin film of viscous Newtonian liquid along the inner walls of a cylindrical pipe in order to examine the behavior of mucus in the trachea. We use silicon oil to emulate mucus and controlled air flow in one direction to simulate breathing. First we examine the situation where the liquid flows downward along the walls under the force of gravity and seek a lubrication model for the fluid behavior using the Navier-Stokes equations. Next we examine the situation where gas is pumped upward through the pipe and liquid is injected annularly at its base; the oil travels up the pipe through the transfer of momentum from the air flow. We seek a simplified model of this system, again using the Navier-Stokes equations, by assuming flow is parallel to the pipe axis. In each case, we compare experimentally measured layer thicknesses to those predicted by our models. The model for the downward liquid flow predicts layer thicknesses to within ten percent accuracy, while the model for two-fluid upward flow predicts thicknesses significantly higher than those observed with percent errors exceeding sixty percent. The latter result suggests that our assumptions about the primary means of momentum transfer are incorrect, and we then in turn examine observed wave motion as a more likely mode of liquid transfer.
Analisis Dan Verifikasi Protokol Kriptografi Aplikasi Manajemen Kunci Menggunakan Scyther: Studi Kasus Aplikasi XYZ

Abstrak Abstrak— Semakin meningkatnya ancaman dan serangan yang mengakibatkan kebocoran data di Indonesia sejalan dengan pesatnya perkembangan teknologi dan informasi. Menjawab tantangan tersebut instansi ABC mengembangkan aplikasi XYZ sebagai salah satu solusi dalam pengamanan data dan informasi. Oleh karena itu, untuk memastikan kemampuan aplikasi tersebut dalam memberikan jaminan keamanan kepada pengguna, pada penelitian ini dilakukan analisis dan verifikasi keamanan protokol kriptografi aplikasi XYZ. Analisis dan verifikasi dilakukan melalui pendekatan verifikasi formal menggunakan alat bantu Scyther dengan focus pada protokol verifikasi pengguna, pembangkitan kunci, dan permintaan kunci untuk proses enkripsi-dekripsi. Hasil analisis menunjukan bahwa protokol-protokol tersebut telah menenuhi kriteria secrecy untuk informasi rahasia yang ditransmisikan namun memiliki kelemahan pada aspek autentikasi. Penerapan sharedsecret dan rangkaian cryptographic nonce terbukti mampu mengatasi kelemahan pada protokol verifikasi pengguna aplikasi XYZ.
A novel MUSK mutation in a patient with CMS9

Congenital myasthenic syndromes (CMS) are a relatively rare cause of fatigable muscle weakness often with significant ocular, bulbar and respiratory impairment1. Mutations in the gene encoding muscle specific tyrosine kinase (MuSK) can lead to abnormal endplate and acetylcholine receptor functioning and cause an autosomal recessive post-synaptic CMS (CMS9). Only 23 patients with CMS9 have been characterized in the literature since the initial description in 20042. Here, we report a newly diagnosed case of CMS9 in a 23-year-old female who harbored a novel c.296G>T (Cys99Phe) mutation in the MUSK gene, thereby expanding the phenotypic/genotypic characterization of this rare disorder.
Fast multiplane functional imaging combining acousto-optic switching and remote focusing

Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods, such as laser scanning two-photon microscopy, usually provide only fast two-dimensional imaging. Rapid volumetric imaging would however be preferable for imaging neurons. To get a more complete picture of the dynamics of the neuron-to-neuron interactions, we have developed a pseudo-parallelised multi-plane two-photon excitation imaging system through the incorporation of an acousto-optic switching and a remote focusing technique into a resonant scanning microscope. This permits the recording of millisecond scale fluorescence transients of calcium indicators from large populations of neurons upon neural firing events at multiple chosen axial planes in very short time frame. While the remote focusing system offers aberration-free axial scanning over a few hundreds of micrometres of depth, the acousto-optic deflector provides high speed optical switching between different laser beam paths in sub-microsecond timescale which in turn, controls the axial focal plane to be targeted. Here, we report on the development of the high temporal resolution multi-plane targeted microscope and its potential application.
Some case studies of random walks in dynamic random environments

This thesis is dedicated to the study of random walks in dynamic random environments. These are models for the motion of a tracer particle in a disordered medium, which is called a static random environment if it stays constant in time, or dynamic otherwise. The evolution of the random walk is defined by assigning to it random jump rates which depend locally on the random environment. Such models belong to the greater area of \emph{disordered systems}, and have been studied extensively since the early seventies in the physics and mathematics literature. The goal is to understand the scaling properties, as time goes to infinity, of the path of the random walk. Several results are available in the literature for dynamic random environments which are uniformly elliptic and have uniform and fast enough mixing in space-time. However, very little is known when either of these conditions fail. In this thesis, we study examples of such situations, namely, non-elliptic cases in Chapter 2, a dynamic random environment with fast but non-uniform mixing in Chapter 4, and a dynamic random environment with both slow and non-uniform mixing in Chapters 3 and 5.
Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review

Continuing progress in machine learning (ML) has led to significant advancements in agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit images, deep learning (DL) is widely used in fruit detection and automatic harvesting. Convolutional neural networks (CNN) in particular have demonstrated the ability to attain accuracy and speed levels comparable to those of humans in some fruit detection and automatic harvesting fields. This paper presents a comprehensive overview and review of fruit detection and recognition based on DL for automatic harvesting from 2018 up to now. We focus on the current challenges affecting fruit detection performance for automatic harvesting: the scarcity of high-quality fruit datasets, fruit detection of small targets, fruit detection in occluded and dense scenarios, fruit detection of multiple scales and multiple species, and lightweight fruit detection models. In response to these challenges, we propose feasible solutions and prospective future development trends. Future research should prioritize addressing these current challenges and improving the accuracy, speed, robustness, and generalization of fruit vision detection systems, while reducing the overall complexity and cost. This paper hopes to provide a reference for follow-up research in the field of fruit detection and recognition based on DL for automatic harvesting.
PHYSICS OF ELECTROSTATIC RESONANCE WITH NEGATIVE PERMITTIVITY AND IMAGINARY INDEX OF REFRACTION FOR ILLUMINATED PLASMOID IN THE EXPERIMENTAL SET UP FOR MICROWAVE NEAR FIELD APPLICATOR

In this paper electrodynamics of plasmoid lighting is explained, which we are generating via creation of localized hot spot by application of microwave energy. The microwave radiation is applied via co-axial applicator, the monopole antenna; and the ‘near field’ of the radiation causes local hot spots and thereby thermal runaway causing ejection of small particles from the base substrate. These particles interact with the Electromagnetic field, and due to electrostatic resonances occurring from negative dielectric permittivity (thereby imaginary refractive index) of these small particles, giant electromagnetic energy fields are locally accumulated; making local discharge thus giving illuminated plasmoid ball. This paper explains the formation of giant electric field at electrostatic resonance, which is primary cause of localized discharge thus plasmoid illumination, is observed in microwave drilling experiments.
Resources Management and Economics Development in South Sudan, Case Study of Ivory Bank, South Sudan, Juba

This study is focusing on how bank financial resources can be increased by Ivory Bank in provision of financial services through of its branches. The research was conducted to demonstrate Resource Management in the bank. It involved explanation of historical development of banking and development system since the establishment of the Bank up to today. Also, it considered the development of Resource Management according to early thinker about management during Industrial Revolution. This is revealed by the study that the goal of resource management is to use the best combination of banking activities to satisfy bank customers. Therefore study considered the research analysis shown sectors benefiting more indicate, all customers mentioned above has the higher percentage. While in attention of bank authority for staff training, short courses Inside the Country follow, and reasons for choosing Ivory Bank, Bank nearer to Customers residence or market obtained more reasonable half percentage study analysis. Moreover reasons why customers got attracted to deal with bank, the question was about quick and reliable, accuracy, confidence, flexibility, the only bank in the area and all above the result has shown all mentioned above has the higher percentage of more than three quarter of sample size. All this indicate the result of study has demonstrate that, bank maintain more clients and is able to make resource management efficient and in turn increases chances for bank economic growth. This can increase the improvement of population standard of living although high running inflations affect these efforts. However there some challenges facing bank as shown study analysis, which could solve through staff motivation by bank management.
On a generalized Ablowitz–Kaup–Newell–Segur hierarchy in inhomogeneities of media: soliton solutions and wave propagation influenced from coefficient functions and scattering data

Abstract In this paper, a generalized Ablowitz–Kaup–Newell–Segur (AKNS) hierarchy in inhomogeneities of media described by variable coefficients is investigated, which includes some important nonlinear evolution equations as special cases, for example, the celebrated Korteweg–de Vries equation modeling waves on shallow water surfaces. To be specific, the known AKNS spectral problem and its time evolution equation are first generalized by embedding a finite number of differentiable and time-dependent functions. Starting from the generalized AKNS spectral problem and its generalized time evolution equation, a generalized AKNS hierarchy with variable coefficients is then derived. Furthermore, based on a systematic analysis on the time dependence of related scattering data of the generalized AKNS spectral problem, exact solutions of the generalized AKNS hierarchy are formulated through the inverse scattering transform method. In the case of reflectionless potentials, the obtained exact solutions are reduced to n-soliton solutions. It is graphically shown that the dynamical evolutions of such soliton solutions are influenced by not only the time-dependent coefficients but also the related scattering data in the process of propagations.
Sportief bewegen en gezondheidsaspecten, een verkennende studie naar kosten en baten

Dit onderzoek betreft een econometrische analyse op de CBS-Gezondheidsenquete van 1990. Deze enquete verschaft naast achtergrondkenmerken zoals leeftijd, geslacht, opleiding, gezinssituatie en werksituatie, informatie over sportieve activiteit, aandoeningen (inclusief sportletsels), en beslag op medische diensten. Op basis van deze gegevens is een econometrisch model geschat, dat gebruikt is voor de simulatie van de kosten-batenbalans onder verschillende scenario's. Hierbij blijkt dat de kosten en baten van sportief bewegen op gezondheid vrijwel in evenwicht zijn. Verder stimuleren van sportief bewegen leidt per saldo tot een besparing van medische kosten voor de Nederlandse maatschappij.
Spectrally Uniform Frames And Spectrally Optimal Dual Frames

Frames have been useful in signal transmission due to the built in redundancy. In recent years, the erasure problem in data transmission has been the focus of considerable research in the case the error estimate is measured by operator (or matrix) norm. Sample results include the characterization of one-erasure optimal Parseval frames, the connection between two-erasure optimal Parseval frames and equiangular frames, and some characterization of optimal dual frames. If iterations are allowed in the reconstruction process of the signal vector, then spectral radius measurement for the error operators is more appropriate then the operator norm measurement. We obtain a complete characterization of spectrally one-uniform frames (i.e., one-erasure optimal frames with respect to the spectral radius measurement) in terms of the redundancy distribution of the frame. Our characterization relies on the connection between spectrally optimal frames and the linear connectivity property of the frame. We prove that the linear connectivity property is equivalent to the intersection dependence property, and is also closely related to the well-known concept of k-independent set. For spectrally two-uniform frames, it is necessary that the frame must be linearly connected. We conjecture that it is also necessary that a two-uniform frame must be n-independent. We confirmed this conjecture for the case when N = n+1, n+2, where N is the number of vectors in a frame for an n-dimensional Hilbert space. Additionally we also establish several necessary and sufficient conditions for the existence of an alternate dual frame to make the iii iterated reconstruction to work.
Domain Incremental Object Detection Based on Feature Space Topology Preserving Strategy

Object detection with the capacity to incrementally adapt to new domains is a crucial yet relatively under-explored research topic. The catastrophic forgetting problem presents a significant challenge to achieve this goal, where the model’s performance improves quickly in new conditions but deteriorates sharply in old ones after several incremental learning sessions. Drawing on recent discoveries in visual memories of the human brain, we introduce the Topology-Preserving Domain Incremental Object Detection (TP-DIOD) approach, which aims to address the catastrophic forgetting problem by extracting the topological structure of the feature space learned by the Convolutional Neural Network (CNN) model and preserving this topology during the subsequent incremental learning sessions. Specifically, we model the feature space topology using the self-organizing map (SOM) and construct an anchor image set based on the centroid vectors of the SOM nodes to memorize the feature space topology. We then develop the anchor loss function to penalize the topological changes of the feature space during the subsequent incremental learning sessions. Experimental evaluations on two sets of datasets demonstrate the effectiveness of the proposed TP-DIOD method in mitigating the catastrophic forgetting problem and achieving high accuracy on both old and new domain datasets.
EFFICACY OF OVULATION SYNCHRONIZATION REGIMENS ON PREGNANCY RATE TO TIMED ARTIFICIAL INSEMINATION IN ACYCLIC POST-PARTUM NILI-RAVI BUFFALOES

The present study compared the two ovulation synchronization treatments combined with a progesterone release device in buffaloes. Ninety acyclic buffaloes were divided into three experimental The blood samples were collected before the start of the trial to determine the reproductive status (anestrous and sub-estrous). In G I and G II, CIDR was inserted for seven days and treated with on the 6th day of protocol. In the protocol, the first estradiol benzoate (EB) and doses were given on day 0 and 2nd EB and doses on day 8 to G I and G II groups, respectively. Whereas, G III served as a control group. The G I and G II groups were observed for heat signs, but fixed time twice AI was done at 48 or 60 hours of CIDR removal, whereas G III was inseminated at detected estrus. The blood samples were also collected prior to the execution of the trial from experimental buffaloes for observing the cyclicity status through serum progesterone level. The results of cyclicity showed 78% anestrous and 22% sub-estrous status in included buffaloes. The effects of synchronization protocols revealed that estrus response was significantly greater in G I and G II groups than in the G III group. The ovulation occurrence, ovulatory follicle szie and pregnancy outcomes were also significantly higher in G I and G II compared to G III. Conclusively, including EB or at the CIDR insertion and removal times effectively enhances estrus, ovulation and pregnancy in sub-estrous and anestrous buffaloes.