Miracle-dz/UniFAR-FTUs huggingface dataset:
PHISHING MAIL DETECTION USING MACHINE LEARNING

: Phishing attacks continue to be a significant cyber-security concern, targeting individuals and organizations worldwide. As phishing techniques become increasingly sophisticated, conventional rule-based methods struggle to keep pace with the evolving threat landscape. To address this challenge, Machine Learning (ML) has emerged as a promising approach for detecting phishing emails effectively. In this work, we propose a phishing email detection system that leverages Machine Learning algorithms to automatically analyze and identify malicious emails from legitimate ones. This research involves building a comprehensive dataset consisting of labeled examples of both phishing and legitimate emails and extracting relevant features from email content and metadata. We use supervised learning techniques such as Support Vector Machines (SVM), Decision tree and Random Forest to train and fine-tune our detection models.
Multiderivative Combined Dissipative Compact Scheme Satisfying Geometric Conservation Law II: Applications on Complex Curvilinear Meshes

The multiderivative combined dissipative compact scheme (MDCS) is extended to implement applications on complex curvilinear meshes. According to our previous evaluation on the scheme, a fifth-order MDCS, which has coexistent superior resolution power and relatively high efficiency, is chosen to present the performance of the MDCS. The capability of the fifth-order MDCS is evaluated by increasingly complex meshes in three typical tests: acoustic scattering from two cylinders, flow over a rod-airfoil configuration and flow over a landing gear model. On the curvilinear meshes, high resolution power possessed by the representative fifth-order MDCS is demonstrated for resolving acoustic wave. Moreover, the MDCS presents promising capability in simulating multiple scales in turbulent flow. AMS subject classifications: 76Fxx, 76Gxx
Group Processes and Communal Land Management 1 Running head: GROUP PROCESSES AND COMMUNAL LAND MANAGEMENT Protecting the commons: Predictors of willingness to mitigate communal land degradation among Maasai pastoralists

Extensive land degradation is a global problem that presents a critical threat to pastoralists’ welfare in East Africa and beyond. Although the reasons for this environmental problem are complex, it is likely to be exacerbated by communal land management practices that have become suboptimal due to changes in land access and population growth. In the present paper we make initial steps towards addressing the problem by exploring socio-psychological predictors of willingness to protect communal land from degradation among Maasai pastoralists in Northern Tanzania. Based on the social identity approach and existing evidence for the role of group processes in pro-environmental action, we have developed and tested a path model predicting willingness to protect communal land. The results demonstrate that community identification is linked to willingness to act via perceived development of action-consistent group and personal norms. In addition, multiple groups analysis demonstrated a number of gender differences within the model. The results are broadly consistent with the existing social identity models of proenvironmental action, extending them into a novel context, and offering practical implications for addressing the issue of pastoralist land degradation.
Numerical Computation of Time Independent and Dependent Dirac Equation Using Atomically Balanced operator and B-spline Basis

This thesis is devoted to the numerical computation of the time-independent Dirac equation (TIDE) and the time-dependent Dirac equation (TDDE) in the prolate spheroidal coordinates. Analytical and numerical techniques including Galerkin methods, Min-max principle, and Rayleigh-Ritz methods combined with atomically balanced basis are presented to solve the Dirac equation without spectral pollution. These numerical methods are used to compute the discrete spectrum of the Dirac operator in two-center Coulomb problems for molecules H2 and Th 179+ 2 . High order B-spline basis functions are used to obtain accurate results. As excepted, the numerical results do not show any spurious state.
Metodología de análisis de facies hidroquímica aplicada al estudio de la intrusión marina en acuíferos detríticos costeros: aplicación a la plana de Oropesa (Castellón).

Se expone una metologia de Analisis de Facies Hidroquimica (AFH) cuya aplicacion permite diferenciar las etapas de avances del frente marino de aquellas de retroceso del frente y, por tanto, profundizar en el estudio de los procesos de salinizacion por intrusion marina. Dicha metodologia se basa en la determinacion de una sucesion de facies caracteristica para cada uno de las dos etapas mencionadas y permite definir el estado real del acuifero frente al proceso de salinizacion, superando la caracterizacion tradicional basada en datos de salinidad. La metodologia ha sido aplicada al acuifero detritico de la Plana de Oropesa, donde se ha determinado que la variacion de la posicion del frente de intrusion, regulada por la alternancia de periodos secos y humedos, da lugar a variaciones en el tipo de facies hidroquimica.
Calibration and performance of the NIKA2 camera at the IRAM 30-m Telescope

Context.NIKA2 is a dual-band millimetre continuum camera of 2 900 kinetic inductance detectors, operating at 150 and 260 GHz, installed at the IRAM 30-m telescope in Spain. Open to the scientific community since October 2017, NIKA2 will provide key observations for the next decade to address a wide range of open questions in astrophysics and cosmology.Aims. Our aim is to present the calibration method and the performance assessment of NIKA2 after one year of observation.Methods. We used a large data set acquired between January 2017 and February 2018 including observations of primary and secondary calibrators and faint sources that span the whole range of observing elevations and atmospheric conditions encountered by the IRAM 30-m telescope. This allowed us to test the stability of the performance parameters against time evolution and observing conditions. We describe a standard calibration method, referred to as the “Baseline” method, to translate raw data into flux density measurements. This includes the determination of the detector positions in the sky, the selection of the detectors, the measurement of the beam pattern, the estimation of the atmospheric opacity, the calibration of absolute flux density scale, the flat fielding, and the photometry. We assessed the robustness of the performance results using the Baseline method against systematic effects by comparing results using alternative methods.Results. We report an instantaneous field of view of 6.5′ in diameter, filled with an average fraction of 84%, and 90% of valid detectors at 150 and 260 GHz, respectively. The beam pattern is characterised by a FWHM of 17.6″ ± 0.1″ and 11.1″ ± 0.2″, and a main-beam efficiency of 47%±3%, and 64%±3% at 150 and 260 GHz, respectively. The point-source rms calibration uncertainties are about 3% at 150 GHz and 6% at 260 GHz. This demonstrates the accuracy of the methods that we deployed to correct for atmospheric attenuation. The absolute calibration uncertainties are of 5%, and the systematic calibration uncertainties evaluated at the IRAM 30-m reference Winter observing conditions are below 1% in both channels. The noise equivalent flux density at 150 and 260 GHz are of 9 ± 1 mJy s1/2and 30 ± 3 mJy s1/2. This state-of-the-art performance confers NIKA2 with mapping speeds of 1388 ± 174 and 111 ± 11 arcmin2mJy−2h−1at 150 and 260 GHz.Conclusions. With these unique capabilities of fast dual-band mapping at high (better that 18″) angular resolution, NIKA2 is providing an unprecedented view of the millimetre Universe.
A study on a spatio-temporal data structure for managing video data from monitoring cameras

In case of emergency, we need to grasp the situation and make correct assessment quickly. The video data taken from the monitoring camera is important information in the emergent situation. In our research, we attempt to build a support system for identifying the video data of the monitoring camera by dealing with video data as spatio-temporal data. We proposed a method, which displays those video data on one virtual large wall. For this presentation, the search key in our system is the location and the size of this large screen and from which direction to look. First we developed a general algorithm to index spatio-temporal data to get an idea for developing the algorithm for this search key.
M/M/1 Model With Unreliable Service and a Working Vacation

We derive an explicit closed form of the stationary distribution of an M/M/1 queue with unreliable service and a working vacation. We also show that the work in (Patterson & Korzeniowski, 2018) can be obtained as a special case of this model. Future work remains to be done; specifically, it may be possible to use the explicit stationary distribution given here to decompose the queue length into the sum of independent random variables. Consequently, it may then be possible to utilize Little’s Law (Little, 1961) to decompose the customer waiting time as well.
Pre-K in Texas: A Critical Component for Academic Success

Recommended Citation Robert Sanborn, Katie McConnell, Mandi Kimball, Andy Canales, Jesus Davila, Shay Everitt, Kellie O'Quinn, Claire Treacy, and Carlos Villegas (2016) "Pre-K in Texas: A Critical Component for Academic Success," Journal of Applied Research on Children: Informing Policy for Children at Risk: Vol. 7 : Iss. 2 , Article 7. Available at: https://digitalcommons.library. tmc.edu/childrenatrisk/vol7/iss2/7
Morphometry Analysis Spectrum Disorders: Tract-Based Matter Pathways in Children with Autism Sharp Curvature of Frontal Lobe White

BACKGROUND AND PURPOSE: Because we had previously observed geometric changes of frontal lobe association pathways in children with ASD, in the present study we analyzed the curvature of these white matter pathways by using an objective TBM analysis. MATERIALS AND METHODS: Diffusion tensor imaging was performed in 32 children with ASD and 14 children with typical development. Curvature, FA, AD, and RD of bilateral AF, UF, and gCC were investigated by using the TBM group analysis assessed by P FDR for multiple comparisons. RESULTS: Significantly higher curvatures were found in children with ASD, especially at the parieto-temporal junction for AF (left, P FDR (cid:1) . 001; right, P FDR (cid:1) . 01), at the frontotemporal junction for UF (left, P FDR (cid:1) . 005; right, P FDR (cid:1) . 03), and at the midline of the gCC (P FDR (cid:1) . 0001). RD was significantly higher in children with ASD at the same bending regions of AF (left, P FDR (cid:1) . 03, right, P FDR (cid:1) . 02), UF (left, P FDR (cid:1) . 04), and gCC (P FDR (cid:1) . 01). CONCLUSIONS: Higher curvature and curvature-dependent RD changes in children with ASD may be the result of higher attenuation of thinner axons in these frontal lobe tracts. ABBREVIATIONS:
Temporal and Spatial Coexistence of Archaeal and Bacterial amoA Genes and Gene Transcripts in Lake Lucerne

Despite their crucial role in the nitrogen cycle, freshwater ecosystems are relatively rarely studied for active ammonia oxidizers (AO). This study of Lake Lucerne determined the abundance of both amoA genes and gene transcripts of ammonia-oxidizing archaea (AOA) and bacteria (AOB) over a period of 16 months, shedding more light on the role of both AO in a deep, alpine lake environment. At the surface, at 42 m water depth, and in the water layer immediately above the sediment, AOA generally outnumbered AOB. However, in the surface water during summer stratification, when both AO were low in abundance, AOB were more numerous than AOA. Temporal distribution patterns of AOA and AOB were comparable. Higher abundances of amoA gene transcripts were observed at the onset and end of summer stratification. In summer, archaeal amoA genes and transcripts correlated negatively with temperature and conductivity. Concentrations of ammonium and oxygen did not vary enough to explain the amoA gene and transcript dynamics. The observed herbivorous zooplankton may have caused a hidden flux of mineralized ammonium and a change in abundance of genes and transcripts. At the surface, AO might have been repressed during summer stratification due to nutrient limitation caused by active phytoplankton.
Fatigue after aneurysmal subarachnoid hemorrhage evaluated by pituitary function and 3 D -

Fatigue after aneurysmal subarachnoid hemorrhage evaluated by pituitary function and 3D-CBF. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
At Which Age is Education the Great Equalizer? A Causal Mediation Analysis of the (In)Direct Effects of Social Origin over the Life Course

The mechanisms linking parental resources to their children’s opportunities are of fundamental interest to sociologists. This study is the ﬁrst to provide a dynamic life course assessment of the origin–education–destination triangle using causal mediation analysis. While the age-as-equalizer hypothesis suggests that for the highly educated, direct effects of social origin are high at young ages and decrease over the life course, the age-as-stratiﬁer hypothesis suggests that for individuals with low educational attainment, direct effects of social origin are low at young ages and increase over the life course. Findings using panel data from the German Socio-Economic Panel Study are largely consistent with these hypotheses for various measures of social origin and social destination. Overall, this study demonstrates how causal mediation analysis provides precise effect deﬁnitions that allow scholars to assess mechanisms when status transmission processes depend on educational attainment
Articles Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status

In this article we propose a strategy for the summarization of scientific articles that concentrates on the rhetorical status of statements in an article: Material for summaries is selected in such a way that summaries can highlight the new contribution of the source article and situate it with respect to earlier work. We provide a gold standard for summaries of this kind consisting of a substantial corpus of conference articles in computational linguistics annotated with human judgments of the rhetorical status and relevance of each sentence in the articles. We present several experiments measuring our judges' agreement on these annotations. We also present an algorithm that, on the basis of the annotated training material, selects content from unseen articles and classifies it into a fixed set of seven rhetorical categories. The output of this extraction and classification system can be viewed as a single-document summary in its own right; alternatively, it provides starting material for the generation of task-oriented and user-tailored summaries designed to give users an overview of a scientific field.
Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)

Abstract This paper presents a novel evolutionary optimization strategy based on the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). This new approach is intended to reduce the number of generations required for convergence to the optimum. Reducing the number of generations, i.e., the time complexity of the algorithm, is important if a large population size is desired: (1) to reduce the effect of noise; (2) to improve global search properties; and (3) to implement the algorithm on (highly) parallel machines. Our method results in a highly parallel algorithm which scales favorably with large numbers of processors. This is accomplished by efficiently incorporating the available information from a large population, thus significantly reducing the number of generations needed to adapt the covariance matrix. The original version of the CMA-ES was designed to reliably adapt the covariance matrix in small populations but it cannot exploit large populations efficiently. Our modifications scale up the efficiency to population sizes of up to 10n, where n is the problem dimension. This method has been applied to a large number of test problems, demonstrating that in many cases the CMA-ES can be advanced from quadratic to linear time complexity.
Hub-and-Spoke Network Design under Congestion: A Learning based 1 Metaheuristic 2

12 This paper models a single allocation multi-commodity hub-and-spoke network problem through a bi-13 objective mathematical model, considering the congestion in both hubs and connection links. A novel 14 aggregation model is developed based on a general GI/G/c queuing system to evaluate the congestion of the flow 15 of the multiple products in the hubs. The proposed model is then solved using a novel learning-based 16 metaheuristic based on NSGA-II, k -Means clustering method, and an Iterated Local Search (ILS) algorithm. The 17 proposed model and solution algorithm are validated through a set of experiments against optimal solutions, and 18 benchmarked against four existing well-known algorithms.
Meta-analysis to integrate effect sizes within a paper: possible misuse and Type-1 error inflation

In recent years an increasing number of papers have employed meta-analysis to integrate effect sizes of researchers’ own series of studies within a single paper (“internal meta-analysis”). Although this approach has the obvious advantage of obtaining narrower confidence intervals, we show that it could inadvertently inflate false-positive rates if researchers are motivated to use internal meta-analysis in order to obtain a significant overall effect. Specifically, if one decides whether to stop or continue a further replication experiment depending on the significance of the results in an internal meta-analysis, false-positive rates would increase beyond the nominal level. We conducted a set of Monte-Carlo simulations to demonstrate our argument, and provided a literature review to gauge awareness and prevalence of this issue. Furthermore, we made several recommendations when using internal meta-analysis to make a judgment on statistical significance.
EIC BEAM DYNAMICS CHALLENGES

The Electron Ion Collider (EIC) under construction at Brookhaven National Laboratory aims to produce luminosities of up to 10 34 cm −2 s −1 . The machine will operate over a broad range of collision energies with highly polarized beams. The coexistence of highly radiative electrons and nonradiative ions produces a host of unique effects. In order to maximize the luminosity, the beam-beam collision parameters are pushed to limits achieved only in collisions with equal species. Moreover, collisions occur with a 25 mrad crossing angle; the resulting luminosity reduction is compensated to lowest order by crabbing both beams by means of transverse RF oscillators. Keeping the beams stable under these conditions is challenging. The average polarization of electron and light ion beams must be 70% . Beams therefore must be injected fully polarized and polarization must be well preserved during beam acceleration and collision. Electron beam currents are up to 2.5 A, which is associated with a number of collective effects that need to be controlled. Hadron beam currents of 1 A are effected by the electron cloud effect, which will be suppressed by low secondary electron-emission yield (SEY) vacuum chamber coating. Strong hadron cooling will reduce and stabilize the hadron beam emittance and will boost the luminosity by a factor of three. These are some of the accelerator science challenges and the corresponding cures and resolutions that are described in this report.
Towards Vehicle-level Optimisation of Compound Rotorcraft Aerodynamics

This paper presents high-ﬁdelity, as well as, simpliﬁed CFD modelling approaches within an optimisation framework for compound rotorcraft conﬁgurations with rotor/propeller aerodynamic interactions. Simulations of a axial-ﬂight ducted propeller and a rotor/wing test case are ﬁrst presented to validate the in-house HMB3 solver and to assess the actuator disk/line models for the simpliﬁed main rotor modelling. The actuator disk/line models are then used to represent the main rotor for simulations of a generalised rotor/propeller combination. The propeller performance is analysed in detail, and large variations are observed in the single blade loading due to the main rotor wake. A simpliﬁed model for the rotor/propeller interaction simulation is also put forward, and an inﬂow distortion metric is proposed to quantify the aerodynamic interactions. With the help of a Kriging surrogate model and the inﬂow distortion metric, aerodynamic interferences through the propeller disk are quantitatively visualised with variations in the propeller position, propeller thrust, and main rotor advance ratio. Optimisation of the propeller position under the main rotor for minimised interference with rolling/pitching moment constraints are also attempted using both gradient-based (adjoint) and gradient-free (eﬃcient global optimisation) approaches. The optimisation results are veriﬁed using blade resolved simulations, and ﬂuctuations of the propeller single blade loading were eﬀectively reduced due to the optimisation. The work is a ﬁrst step towards high-ﬁdelity methods for vehicle and conﬁguration optimisation.
Covalent binding of rofecoxib, but not other COX-2 inhibitors, to allysine aldehyde in elastin of human aorta

In rats, it has been reported that rofecoxib, a cyclooxygenase-2 (COX-2) inhibitor, reacts with the aldehyde group of allysine in elastin to give a condensation covalent adduct, thereby preventing the formation of cross-linkages in the elastin and causing degradation of the elastic fibers in aortas in vivo . Acid-, organic solvent-and proteolytic enzyme-treatments of human aortic homogenate after incubation with [ 14 C]rofecoxib demonstrated that most of the radioactivity is covalently bound to elastin. The in vitro covalent binding was inhibited in the presence of β -aminopropionitrile, D-penicillamine and hydralazine, which suggested that the aldehyde group of allysine in human elastin was relevant to the covalent binding. The in vitro covalent binding of [ 14 C]rofecoxib was significantly decreased by the addition of only non-radiolabeled rofecoxib, but not the other COX-2 inhibitors, celecoxib,