Miracle-dz/UniFAR-FTUs huggingface dataset:
Diphoton and diboson excesses in a left-right symmetric theory of dark matter

We explore the possibility that the recently reported diphoton excess at ATLAS and CMS can be accommodated within a minimal extension of a left-right symmetric model. Our setup is able to simultaneously explain the Run 2 diphoton and Run 1 diboson excesses, while providing a standard thermal freeze-out of weak-scale dark matter. In this scenario, the 750 GeV neutral right-handed Higgs triplet is responsible for the diphoton excess. Interactions of this state with the neutral and charged components of dark matter multiplets provide the dominant mechanisms for production and decay. A striking signature of this model is the additional presence of missing energy in the diphoton channel.
Drivers of unemployment intensity in sub-Saharan Africa: do government intervention and natural resources matter?

PurposeAfrican countries are endowed with both human and natural resources. These resources constitute integral components for any economic development due to the long-lasting relationship with all sectors in an economy, yet there is an obvious disagreement between growing economy and employment generation in Africa. Though there has been a growing pattern of economic size, particularly the gross domestic product (GDP) among African countries, most of these economies are low in human development. The disagreement between economic growth and employment generation in Africa despite abundant natural resources located on the continent calls for public discourse among scholars. Therefore, the purpose of the study is to examine the peculiar drivers of unemployment intensity in a region characterized by endowed resources.Design/methodology/approachThe paper adopts two approaches; the authors employed the pooled mean group (PMG) estimator and utilised stochastic frontier analysis (SFA) to generate a government efficiency index between the period 1991 and 2017 among sub-Saharan Africa (SSA) countries.FindingsThe empirical results through the single output-multiple inputs framework indicate that on average, there is a low level of government efficiency towards increasing the objective of human development in Africa. However, in the long run, natural resource endowment has a positive and significant relationship with employment generation for SSA. Hence, the study established that a low level of government efficiency has a long-lasting effect on low human development experienced in Africa.Social implicationsThe need to improve the level of government efficiency towards economic development by making both human and physical capital more effective will spur the exploration of natural resources.Originality/valueThe paper provides an empirical study of the effectiveness and efficiency of government through PMG and SFA in establishing the relationship between government approaches and employment level in selected SSA countries.
Theoretical and observational constraints on the H i intensity power spectrum

Mapping of the neutral hydrogen (HI) 21-cm intensity fluctuations across redshifts promises a novel and powerful probe of cosmology. The neutral hydrogen gas mass density, $\Omega_{\rm HI}$ and bias parameter, $b_{\rm HI}$ are key astrophysical inputs to the HI intensity fluctuation power spectrum. We compile the latest theoretical and observational constraints on $\Omega_{\rm HI}$ and $b_{\rm HI}$ at various redshifts in the post-reionization universe. Constraints are incorporated from galaxy surveys, HI intensity mapping experiments, damped Lyman-$\alpha$ system observations, theoretical prescriptions for assigning HI to dark matter halos, and the results of numerical simulations. Using a minimum variance interpolation scheme, we obtain the predicted uncertainties on the HI intensity fluctuation power spectrum across redshifts 0-3.5 for three different confidence scenarios. We provide a convenient tabular form for the interpolated values of $\Omega_{\rm HI}$, $b_{\rm HI}$ and the HI power spectrum amplitude and their uncertainties. We discuss the consequences for the measurement of the power spectrum by current and future intensity mapping experiments.
Heliocentric Zoning of the Asteroid Belt by Aluminum-26 Heating

The dependence of asteroid spectral class (and inferred composition and thermal history) on heliocentric radius has been held to be the result of heating by a solar energy source, most likely electrical induction, during the formation of the planetary system. Such variations in thermal history can be more simply explained by the presence of different amounts of the radionuclide aluminum-26, whose decay products are observed in meteorites, in planetesimals. These differences occurred naturally as a function of the increasing amount of time required to aecrete objects farther from the sun, during which aluminum-26 decayed from its initial concentration in the solar nebula. Both theory and isotopic evidence suggest that increases in aecretion time across the asteroid belt are of order several half-lives of aluminum-26, which is sufficient to produce the inferred differences in thermal history.
Evaluating Optimism, Hope, Resilience, Coping Flexibility, Secure Attachment, and PERMA as a Well-Being Model for College Life Adjustment of Student Veterans: A Hierarchical Regression Analysis

The purpose of this study is to examine (a) to what extent demographic covariates, foundational and emerging positive psychology traits (FEPPTs), and PERMA uniquely predict college life adjustment, health-related quality of life (HRQOL), and life satisfaction of student military veterans; (b) PERMA as a happiness and well-being model for college life adjustment, HRQOL, and life satisfaction among student veterans; and (c) FEPPTs as predictors of PERMA (positive emotion, engagement, relationships, meaning, and accomplishment). In addition, we tested whether total PERMA scores mediate the relationship between service-connected disability and college adjustment. A total of 205 student veterans responded to an online survey. Results revealed that demographic covariates (e.g., service-connected disability), FEPPTs (e.g., optimism), and PERMA (e.g., positive emotion) significantly accounted for college life adjustment, HRQOL, and life satisfaction of student veterans. In addition, a mediation analysis revealed that PERMA partially mediated the relationship between service-connected disability and college life adjustment of student veterans. The results of this study provide empirical supports for the use of PERMA as a comprehensive well-being model of college life adjustment for student veterans.
Acute Distal Vertebral Artery Occlusion in Patients with Asymmetrical Vertebral Artery Geometry: Role of Black-Blood-Enhanced MR Imaging

Background: The purpose of this study was to evaluate the diagnostic value of contrast enhancement in a unilateral distal vertebral artery (VA) using black blood (BB)-enhanced magnetic resonance (MR) imaging in patients with acute neurological symptoms and asymmetrical VA geometry. Methods: From January 2020 to August 2021, we retrospectively analyzed BB-contrast-enhanced MR imaging and MR angiography (MRA) findings in stroke patients visiting the emergency room for an evaluation of acute neurological symptoms. We classified four patterns according to asymmetrical VA geometry using MRA and contrast enhancement using BB-enhanced MR imaging: type 1 = enhanced VA + no visualization of VA, type 2 = enhanced VA + hypoplastic VA, type 3 = non-enhanced VA + hypoplastic VA, or type 4 = non-enhanced VA + no visualization of VA. Results: In total, 288 patients (type 1 = 65, type 2 = 17, type 3 = 130, type 4 = 76) were enrolled in this study. Of these patients, 82 (28.5%) showed contrast enhancement of a unilateral distal VA on BB-enhanced MR imaging, and 51 (17.8%) had positive findings on diffusion-weighted imaging (DWI) in the ipsilateral medulla, pons, or posterior inferior cerebellar artery (PICA) territory. The contrast enhancement of a unilateral distal VA using BB-enhanced MR imaging demonstrated a significantly higher prevalence in patients with acute infarction on DWI (50.0% vs. 4.9%, p < 0.001). Conclusions: The contrast enhancement of a unilateral distal VA on BB-enhanced MR imaging is associated with acute infarction of the medulla, pons, or PICA territory and suggests acute occlusion of a distal VA.
The build-up of the cD halo of M 87: evidence for accretion in the last Gyr

Aims. We present kinematic and photometric evidence for an accretion event in the halo of the cD galaxy M 87 in the last Gyr. Methods. Using velocities for ∼300 planetary nebulas (PNs) in the M 87 halo, we identify a chevron-like substructure in the PN phasespace. We implement a probabilistic Gaussian mixture model to identify PNs that belong to the chevron. From analysis of deep V-band images of M 87, we find that the region with the highest density of chevron PNs is a crown-shaped substructure in the light. Results. We assign a total of NPN,sub = 54 to the substructure, which extends over ∼50 kpc along the major axis where we also observe radial variations of the ellipticity profile and a colour gradient. The substructure has highest surface brightness in a 20 kpc × 60 kpc region around 70 kpc in radius. In this region, the substructure causes an increase in surface brightness by 60%. The accretion event is consistent with a progenitor galaxy with a V-band luminosity of L = 2.8 ± 1.0 × 10 9 L� ,V , a colour of (B − V) = 0.76 ± 0.05, and a stellar mass of M = 6.4 ± 2.3 × 10 9 M� . Conclusions. The accretion of this progenitor galaxy has caused an important modification of the outer halo of M 87 in the last Gyr. This result provides strong evidence that the galaxy’s cD halo is growing through the accretion of smaller galaxies as predicted by hierarchical galaxy evolution models.
Influence of mineral and bio-N fertilization on productivity and fruit quality of Washington navel orange trees

This study was carried out during the 2019 & 2020 seasons on 15-year-old Washington navel orange trees budded on sour orange rootstock grown at 5 x 5 meters a part in loamy sand soil under surface irrigation on the private farm at Kom Hamada, El-Behera Governorate, Egypt. The main goal of this investigation was directed towards improving productivity and fruit quality of Washington navel orange trees associated with lower production cost through investigating the minimizing of chemical N fertilizers by Bio-N. Anyhow, the eight treatments involved in this study were summarized as follows: T1- Chemical N (adopted N fertilization in the farm) at 3.5kg/tree from (NH4) 2 SO 4 , T2- Urea, T3- Ammonium sulphate (NH4) 2 SO 4 , T4- Ammonium nitrate (NH 4 ) 2 NO 3 , T5- Nitroben (bio-N), T6- Urea + Nitroben (bio-N), T7- Ammonium sulphate + Nitroben (bio-N) and T8- Ammonium nitrate + Nitroben (bio-N). Data obtained revealed that all investigated treatments positively responded to fruit (set % and retention %), and yield/tree and fruit quality were also improved. However, T8-Ammonium nitrate+ Nitroben (bio-N) was statistically superior in this concern. Moreover, T7 - Ammonium sulphate + Nitroben (bio-N) ranked statistically second in this concern. Consequently, it can be recommended that minimizing 50 % chemical N fertilizers by Nitroben at the rate of 500cm 3 per tree + 50% chemical-N (Ammonium nitrate 2.5 Kg per tress) enhanced productivity and fruit quality of Washington navel orange trees under the same conditions.
Brain MR Images Classification for Alzheimer’s Disease

Alzheimer’s Disease (AD) is the most prevailing type of dementia. The prevalence of AD is estimated to be around 5% after 65 years old and is staggering 30% for more than 85 years old in developed countries. AD destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. The findings of this study are likely to aid specialists in their decision-making process by using patients’ Magnetic Resonance Imaging (MRI) to distinguish patients with AD from Normal Control (NC). Performance evolution was applied to 346 Magnetic Resonance images from the Alzheimer's Neuroimaging Initiative (ADNI) collection. The Deep Belief Network (DBN) classifier was used to fulfill classification function. Weights were used to test the proposed method's recognition capacity, and the network was trained with a sample training set. As a result, this study offeres a new method for identifying Alzheimer's disease utilizing automated categorization. In tests, it performed admirably With 98.46% accuracy achieved for AD and NC studied classes when combining Gray Level Co-occurrence Matrix (GLCM) features with a DBN.
Unbiased pseudo-Cl power spectrum estimation with mode projection

With the steadily improving sensitivity afforded by current and future galaxy surveys, a robust extraction of two-point correlation function measurements may become increasingly hampered by the presence of astrophysical foregrounds or observational systematics. The concept of mode projection has been introduced as a means to remove contaminants for which it is possible to construct a spatial map, reflecting the expected signal contribution. Owing to its computational efficiency compared to minimum-variance methods, the sub-optimal pseudo-Cl (PCL) power spectrum estimator is a popular tool for the analysis of high-resolution data sets. Here, we integrate mode projection into the framework of PCL power spectrum estimation. In contrast to results obtained with optimal estimators, we show that the uncorrected projection of template maps leads to biased power spectra. Based on analytical calculations, we find exact closed-form expressions for the expectation value of the bias and demonstrate that they can be recast in a form which allows a numerically efficient evaluation, preserving the favourable O(l 3 max ) O(lmax3) time complexity of PCL estimator algorithms. Using simulated data sets, we assess the scaling of the bias with various analysis parameters and demonstrate that it can be reliably removed. We conclude that in combination with mode projection, PCL estimators allow for a fast and robust computation of power spectra in the presence of systematic effects – properties in high demand for the analysis of ongoing and future large-scale structure surveys.
Wireless Power Transfer—A Review

This paper presents the current state of knowledge in the field of wireless power transfer. The concept of such a transfer and the basic methods of its implementation are described, together with block diagrams of the necessary devices. The technologies of electrical power transfer over short and long distances are characterized. The most popular electrical power transfer technology based on the phenomenon of electromagnetic induction is discussed in great detail. The analysis of the influences of such factors as the coupling factor, the shape of the coils, the type of ferromagnetic material from which the core of the coils is made, and the mutual position of the transmitting and receiving coils are analyzed on the properties of the wireless power transfer system. The advantages and disadvantages of the used technologies are shown. Furthermore, a wireless power transfer system is presented for charging the batteries of electric vehicles. The standards of wireless power transfer are also presented, and development trends are outlined.
Localization of compactness of Hankel operators on pseudoconvex domains

We prove the following localization for compactness of Hankel operators on Bergman spaces. Assume that D is a bounded pseudoconvex domain in C^n, p is a boundary point of D and B(p,r) is a ball centered at p with radius r so that U=D\cap B(p,r) is connected. We show that if the Hankel operator H^D_f is compact on A^2(D) (the symbols f is C^1 on the closure of D) then H^U_f is compact on A^2(U) where A^2(D) and A^2(U) denote the Bergman spaces on D and U, respectively.
All the Right Moves: A VLSI Architecture for Chess

Computer chess programs traditionally have been subject to a tradeoff between search speed and chess knowledge. "All the Right Moves "presents a parallel architecture that makes this tradeoff irrelevant: using the VLSI architecture described in this book, the Hitech chess program is able to search both quickly and knowledgeably. Hitech recently won the ACM computer chess championship, and now owns a USCF rating of 2532, placing it in the top one percent of all rated U.S. chess players.The book describes a VLSI implementation for both move generation and position evaluation. The VLSI move generator searches about 200,000 moves per second and includes all the ancillary circuitry required for it to interface cleanly with the rest of the system. The speed of the move generator is independent of the number of legal moves in a position, and the speed of the evaluation depends only logarithmically on the amount of knowledge encoded in the evaluation. In practice, this means that the amount of analysis performed by the evaluation does not slow the speed of the search.Beyond the VLSI architecture, Ebeling also describes the other Hitech hardware and software, and presents a performance analysis of Hitech as a whole.Hitech already has had a revolutionary effect on computer chess, the impact of which is discussed in the book's final chapter.Contents: Introduction. Background and Related Work. The Move Generator Architecture. Position Evaluation. The Hitech System. Performance Results. Conclusion.Carl Ebeling is an Assistant Professor in the Department of Computer Science at the University of Washington, Seattle. "All the Right Moves "is a 1986 ACM Distinguished Dissertation.
Entropic corrections to Einstein equations

Considering the general quantum corrections to the area law of black hole entropy and adopting the viewpoint that gravity interprets as an entropic force, we derive the modified forms of MOND theory of gravitation and Einstein field equations. As two special cases we study the logarithmic and power-law corrections to entropy and find the explicit form of the obtained modified equations.
Introduction to Quantum Gate Set Tomography

Quantum gate set tomography (GST) has emerged as a promising method for the full characterization of quantum logic gates. In contrast to quantum process tomography (QPT), GST self-consistently and correctly accounts for state preparation and measurement (SPAM) errors. It therefore provides significantly more accurate estimates than QPT as gate fidelities increase into the fault-tolerant regime. We give a detailed review of GST and provide a self-contained guide to its implementation. The method is presented in a step-by-step fashion and relevant mathematical background material is included. Our goal is to demonstrate the utility of GST as both an accurate characterization technique and a simple and effective diagnostic tool. As an illustration, we compare the output of GST and QPT using simulated example data for a single qubit. In agreement with the original literature, we find that coherent errors are poorly estimated by QPT near quantum error correction thresholds, while GST is accurate in this regime.
Matrix Model and Refined Wall-Crossing Formula

In this paper, we show how to get matrix models corresponding to the refined BPS states partition functions of $\mathbb{C}^3$, resolved conifold and $\mathbb{C}^3/\mathbb{Z}_2$ by inserting the identity operator at a proper position in the fermionic expression of the refined BPS states partition functions.
A COHERENT METHOD FOR THE DETECTION AND PARAMETER ESTIMATION OF CONTINUOUS GRAVITATIONAL WAVE SIGNALS USING A PULSAR TIMING ARRAY

The use of a high precision pulsar timing array is a promising approach to detecting gravitational waves in the very low frequency regime (10−6–10−9 Hz) that is complementary to ground-based efforts (e.g., LIGO, Virgo) at high frequencies (∼10–103 Hz) and space-based ones (e.g., LISA) at low frequencies (10−4–10−1 Hz). One of the target sources for pulsar timing arrays is individual supermassive black hole binaries which are expected to form in galactic mergers. In this paper, a likelihood-based method for detection and parameter estimation is presented for a monochromatic continuous gravitational wave signal emitted by such a source. The so-called pulsar terms in the signal that arise due to the breakdown of the long-wavelength approximation are explicitly taken into account in this method. In addition, the method accounts for equality and inequality constraints involved in the semi-analytical maximization of the likelihood over a subset of the parameters. The remaining parameters are maximized over numerically using Particle Swarm Optimization. Thus, the method presented here solves the monochromatic continuous wave detection and parameter estimation problem without invoking some of the approximations that have been used in earlier studies.
The Constructional APPROACH

English Verbs in Directed Motion Sentences ; Goldberg's Constructional Approach ; The English Caused Motion Construction ; Range and Meaning ; Non Derivable Meaning ; The Various Senses of the Caused Motion Construction ; Semantic Constraints ; The Intransitive Motion Construction ; The Way Construction ; Non Derivable Meaning ; Means and Manner Interpretation ; Semantic Constraints
Leveraging the CSF proteome toward minimally-invasive diagnostics surveillance of brain malignancies

Abstract Background Diagnosis and prognostication of intra-axial brain tumors hinges on invasive brain sampling, which carries risk of morbidity. Minimally-invasive sampling of proximal fluids, also known as liquid biopsy, can mitigate this risk. Our objective was to identify diagnostic and prognostic cerebrospinal fluid (CSF) proteomic signatures in glioblastoma (GBM), brain metastases (BM), and primary central nervous system lymphoma (CNSL). Methods CSF samples were retrospectively retrieved from the Penn State Neuroscience Biorepository and profiled using shotgun proteomics. Proteomic signatures were identified using machine learning classifiers and survival analyses. Results Using 30 µL CSF volumes, we recovered 755 unique proteins across 73 samples. Proteomic-based classifiers identified malignancy with area under the receiver operating characteristic (AUROC) of 0.94 and distinguished between tumor entities with AUROC ≥0.95. More clinically relevant triplex classifiers, comprised of just three proteins, distinguished between tumor entities with AUROC of 0.75–0.89. Novel biomarkers were identified, including GAP43, TFF3 and CACNA2D2, and characterized using single cell RNA sequencing. Survival analyses validated previously implicated prognostic signatures, including blood–brain barrier disruption. Conclusions Reliable classification of intra-axial malignancies using low CSF volumes is feasible, allowing for longitudinal tumor surveillance.