Miracle-dz/UniFAR-FTUs huggingface dataset:
Proteome-Wide Screening of Potential Vaccine Targets against Brucella melitensis

The ongoing antibiotic-resistance crisis is becoming a global problem affecting public health. Urgent efforts are required to design novel therapeutics against pathogenic bacterial species. Brucella melitensis is an etiological agent of brucellosis, which mostly affects sheep and goats but several cases have also been reported in cattle, water buffalo, yaks and dogs. Infected animals also represent the major source of infection for humans. Development of safer and effective vaccines for brucellosis remains a priority to support disease control and eradication in animals and to prevent infection to humans. In this research study, we designed an in-silico multi-epitopes vaccine for B. melitensis using computational approaches. The pathogen core proteome was screened for good vaccine candidates using subtractive proteomics, reverse vaccinology and immunoinformatic tools. In total, 10 proteins: catalase; siderophore ABC transporter substrate-binding protein; pyridoxamine 5′-phosphate oxidase; superoxide dismutase; peptidylprolyl isomerase; superoxide dismutase family protein; septation protein A; hypothetical protein; binding-protein-dependent transport systems inner membrane component; and 4-hydroxy-2-oxoheptanedioate aldolase were selected for epitopes prediction. To induce cellular and antibody base immune responses, the vaccine must comprise both B and T-cells epitopes. The epitopes were next screened for antigenicity, allergic nature and water solubility and the probable antigenic, non-allergic, water-soluble and non-toxic nine epitopes were shortlisted for multi-epitopes vaccine construction. The designed vaccine construct comprises 274 amino acid long sequences having a molecular weight of 28.14 kDa and instability index of 27.62. The vaccine construct was further assessed for binding efficacy with immune cell receptors. Docking results revealed that the designed vaccine had good binding potency with selected immune cell receptors. Furthermore, vaccine-MHC-I, vaccine-MHC-II and vaccine-TLR-4 complexes were opted based on a least-binding energy score of −5.48 kcal/mol, 0.64 kcal/mol and −2.69 kcal/mol. Those selected were then energy refined and subjected to simulation studies to understand dynamic movements of the docked complexes. The docking results were further validated through MMPBSA and MMGBSA analyses. The MMPBSA calculated −235.18 kcal/mol, −206.79 kcal/mol, and −215.73 kcal/mol net binding free energy, while MMGBSA estimated −259.48 kcal/mol, −206.79 kcal/mol and −215.73 kcal/mol for TLR-4, MHC-I and MHC-II complexes, respectively. These findings were validated by water-swap and entropy calculations. Overall, the designed vaccine construct can evoke proper immune responses and the construct could be helpful for experimental researchers in formulation of a protective vaccine against the targeted pathogen for both animal and human use.
Pyramid maximum entropy images of IRAS survey data.

In this paper we present a new method for the construction of high-resolution images from the IRAS survey data base. The method, Pyramid Maximum Entropy (PME), is a special application of multi-channel maximum entropy image construction techniques, using pyramid images in which each of the (K+1) image channels covers the same map area, but contains 2 k ×2 k (k=0, 1,., K) pixels. The final result is a 2 K ×2 K -pixel image. PME is a two-dimensional application of the MEMSYS5 software package. As PME explicitly includes spatial correlations in the images, it is capable of reconstructing emission at virtually any relevant scale length
Estimation of groundwater recharge using various methods in Neishaboor Plain, Iran

Recharge rate is the most important component in water balance computation and ground-water modeling. Also, it is the critical factor in optimal planning and management of groundwater resources in arid and semi arid regions such as the eastern part of Iran. There are different techniques to quantify the recharge amount. Each of these methods has been developed in separate hydro-geological conditions and they will estimate completely different recharge value in an identical region. In this study, based on available hydro-geological information, three of these methods were selected to estimate the groundwater recharge. All of these methods are based on the water balance principle (rainfall-groundwater level relationship), including WTF (Water Table Fluctuation), DHB (Distributed Hydrological Budget) and HB (Hydrological Budget). These methods were useful, easy to be utilized, cost effective, simple, requiring few non-deterministic data such as groundwater level measurements, rainfall, aquifer properties, and groundwater extraction datasets. These methods were used to provide the percentage of irrigation return flow and the precipitation contribution to natural groundwater recharge. In order to apply the first two methods (WTF and DHB that are distributed techniques), the study area was classified to polygons based on the existing observation wells. Then, the natural recharge rate was estimated for each Thiessen polygon on a monthly scale. Utilizing these three methods, the groundwater level was simulated and also an optimization technique was applied to minimize the Root Mean Square Error (RMSE) between the simulated and observed groundwater level. The results showed that the simulated groundwater level matched well with the observed amount. An annual average recharge rate for Neyshabour plain, using WTF, DHB and HB was estimated at 228, 269 and 354 MCM, respectively. Finally, the estimated groundwater recharge of each method was compared and the results showed that thr WTF and DHB methods provided more reliable groundwater recharge.
High‐Resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake Using 3D Finite Element Modeling

The 2019 Ridgecrest earthquake sequence manifested as one of the most complex fault surface ruptures observed in California in modern times. The M6.4 foreshock and M7.1 mainshock occurred on an intricate network of orthogonal and sub‐parallel faults resulting in observable surface displacement and surface rupture captured by geodetic data. Here we present the application of a high‐resolution 3D finite element model (FEM) approach to invert for the detailed fault slip of the entire sequence using complex rheology and fused coseismic Global Navigation Satellite System (GNSS) data with Sentinel‐1 differential interferometric synthetic aperture radar and pixel offset data. The heterogeneous FEM and the fused geodetic data set of pixel offsets, interferograms, and GNSS data results in our optimal inversion solution. This preferred solution is a complex, high‐resolution non‐planar slip model of both the M6.4 and M7.1 events that features three main regions of large slip (6.9+ m), with depths ranging from 2 to 10 km. The regions of slip are bounded by the mainshock hypocenter and the mainshock aftershocks and appear to be related to spatially varying rheological properties. We successfully reproduce a localized region of observed subsidence in the northern portion of the primary fault through the inclusion of a curved fault strand with a significant dip‐slip component. The curved fault strand is the site of our maximum slip of 7.4 m at a depth of 4.2 km. The results demonstrate a robust fit from a more complete, detailed model for the entire seismogenic zone with reasonable computational cost, providing new insights into the governing rheologic and structural processes.
Quantum algorithms for supervised and unsupervised machine learning

Machine-learning tasks frequently involve problems of manipulating and classifying large numbers of vectors in high-dimensional spaces. Classical algorithms for solving such problems typically take time polynomial in the number of vectors and the dimension of the space. Quantum computers are good at manipulating high-dimensional vectors in large tensor product spaces. This paper provides supervised and unsupervised quantum machine learning algorithms for cluster assignment and cluster finding. Quantum machine learning can take time logarithmic in both the number of vectors and their dimension, an exponential speed-up over classical algorithms.
Week-One Anaemia was Associated with Increased One-Year Mortality in Critically Ill Surgical Patients

Background Anaemia has a deleterious effect on surgical patients, but the long-term impact of anaemia in critically ill surgical patients remains unclear. Methods We enrolled consecutive patients who were admitted to surgical intensive care units (ICUs) at a tertiary referral centre in central Taiwan between 2015 and 2020. We used both Cox proportional hazards analysis and propensity score-based analyses, including propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and covariate balancing propensity score (CBPS) to determine hazard ratios (HRs) and 95% confidence intervals (CIs) for one-year mortality. Results A total of 7,623 critically ill surgical patients were enrolled, and 29.9% (2,280/7,623) of them had week-one anaemia (haemoglobin <10 g/dL). We found that anaemia was independently associated with an increased risk of one-year mortality after adjustment for relevant covariates (aHR, 1.170; 95% CI, 1.045–1.310). We further identified a consistent strength of association between anaemia and one-year mortality in propensity score-based analyses, with the adjusted HRs in the PSM, IPTW, and CBPS were 1.164 (95% CI 1.025–1.322), 1.179 (95% CI 1.030–1.348), and 1.181 (1.034–1.349), respectively. Conclusions We identified the impact on one-year mortality of anaemia in critically ill surgical patients, and more studies are needed to validate our findings.
The quarter-point quadratic isoparametric element as a singular element for crack problems

The quadratic isoparametric elements which embody the inverse square root singularity are used for calculating the stress intensity factors at tips of cracks. The strain singularity at a point or an edge is obtained in a simple manner by placing the mid-side nodes at quarter points in the vicinity of the crack tip or an edge. These elements are implemented in NASTRAN as dummy elements. The method eliminates the use of special crack tip elements and in addition, these elements satisfy the constant strain and rigid body modes required for convergence.
ANALISIS FAKTOR YANG MEMPENGARUHI BEHAVIORAL INTENTION DAN USER BEHAVIOR PADA FINTECH SHOPEEPAY MENGGUNAKAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

ABSTRACT: This study aims to determine the factors that can influence the interest of the Denpasar City Community in using ShopeePay fintech with the Unified Theory Of Acceptance And Use Of Technology (UTAUT) model. The data used in this study is primary data, where data is obtained directly from parties related to distributing questionnaires using google form. This study uses 2 sampling techniques, namely purposive sampling and convenience sampling. Validity and reliability testing of the instrument was carried out with SPSS software which was used to ensure that the questionnaire was valid and reliable. The data that has been obtained were analyzed using the Partial Least Square (PLS) method using smartPLS software. The results of the tests carried out indicate that the performance expectancy and effort expectation variables on the behavioral intention variable, the facilitating condition variable and the behavioral intention on the user behavior variable. Then the rejected hypothesis is the social influence variable on the behavioral intention variable.Keywords: Fintech ShopeePay, Unified Theory Of Acceptance And Use Of Technology (UTAUT), behavioral intentions, user behavior, smartPLS. ABSTRAK: Penelitian ini bertujuan untuk mengetahui faktor faktor yang dapat mempengaruhi minat Masyarakat Kota Denpasar dalam penggunaan fintech ShopeePay dengan model Unified Theory Of Acceptance And Use Of Technology (UTAUT). Data yang digunakan dalam penelitian ini adalah data primer, dimana data diperoleh secara langsung dari pihak yang berkaitan dengan menyebarkan kuesioner menggunakan google form. Penelitian ini menggunakan 2 teknik sampling, yaitu Teknik purposive sampling dan convenience sampling Uji validitas dan uji reliabilitas instrumen dilakukan dengan software SPSS yang digunakan untuk memastikan kuesioner telah valid dan reliabel. Data yang telah didapatkan dianalisis dengan metode Partial Least Square (PLS) menggunakan software smartPLS. Hasil pengujian yang dilakukan mengindikasikan bahwa variabel performance expectancy dan effort expectation terhadap variabel behavioral intention, variabel facilitating condition dan behavioral intention terhadap user behavior. Kemudian hipotesis yang ditolak yaitu variabel social influence terhadap variabel behavioral intention.Kata kunci: Fintech ShopeePay, Unified Theory Of Acceptance And Use Of Technology (UTAUT), behavioral intention, user behavior, smartPLS.
Constitutive models for linear compressible viscoelastic flows of simple liquids at nanometer length scales

Simple bulk liquids such as water are commonly assumed to be Newtonian. While this assumption holds widely, the fluid-structure interaction of mechanical devices at nanometer scales can probe the intrinsic molecular relaxation processes in a surrounding liquid. This was recently demonstrated through measurement of the high frequency (20 GHz) linear mechanical vibrations of bipyramidal nanoparticles in simple liquids [Pelton et al., “Viscoelastic flows in simple liquids generated by vibrating nanostructures,” Phys. Rev. Lett. 111, 244502 (2013)]. In this article, we review and critically assess the available constitutive equations for compressible viscoelastic flows in their linear limits—such models are required for analysis of the above-mentioned measurements. We show that previous models, with the exception of a very recent proposal, do not reproduce the required response at high frequency. We explain the physical origin of this recent model and show that it recovers all required features of a linear viscoelastic flow. This constitutive equation thus provides a rigorous foundation for the analysis of vibrating nanostructures in simple liquids. The utility of this model is demonstrated by solving the fluid-structure interaction of two common problems: (1) a sphere executing radial oscillations in liquid, which depends strongly on the liquid compressibility and (2) the extensional mode vibration of bipyramidal nanoparticles in liquid, where the effects of liquid compressibility are negligible. This highlights the importance of shear and compressional relaxation processes, as a function of flow geometry, and the impact of the shear and bulk viscosities on nanometer scale flows.
Electoral strategies in multilevel systems: the effect of national politics on regional elections

ABSTRACT Elections are at the heart of representative democracies. Whereas the study of national elections is a prominent field in comparative politics, we still know little about subnational political actors’ behaviour. We seek to close this gap by applying a dictionary coding approach to analyse parties’ issue-based content of 743 subnational manifestos in Austria and Germany. We show that subnational parties emphasize regional topics less if regional elections happen close to national elections but focus more on both regional and mixed topics if their national party organization is in government. This has important implications for electoral competition in multilevel systems.
The bee fauna associated with Pacific Northwest (USA) native plants for gardens

Growing public awareness of pollinator declines has led to an increase in gardening for pollinators, particularly bees. In most regions of the United States a better understanding of the plants that support abundant and species rich bee communities will help urban pollinator conservation programs. To address this, we compared the relative attractiveness of 23 native Pacific Northwest plant species to bees. We performed timed bee counts and vacuum‐sampled bee communities, weekly, when plots were in peak bloom. Across three field seasons, we found that Douglas' aster (Symphyotrichum subspicatum), California poppy (Eschscholzia californica), varileaf phacelia (Phacelia heterophylla), Canada goldenrod (Solidago canadensis), farewell‐to‐spring (Clarkia amoena), globe gilia (Gilia capitata), and Oregon sunshine (Eriophyllum lanatum) consistently harbored high bee abundance and species richness, and show great potential for garden pollinator plantings. These findings can be applied to residential and community gardens, municipal parks and other plantings, as well as by restoration professionals and policy makers interested in creating and supporting pollinator habitat.
Cellular Uptake of Epigallocatechin Gallate in Comparison to Its Major Oxidation Products and Their Antioxidant Capacity In Vitro

Depletion of reactive oxygen species and reduction of oxidative stress have been identified as key parameters in the prevention of cellular aging. In previous in vitro studies, the tea catechin epigallocatechin gallate (EGCG) was found to have both pro- and antioxidant properties, disregarding the low stability under cell culture conditions. Besides hydrogen peroxide, theasinensin dimers amongst other oxidation products are formed. Exact quantities, cellular uptake and antioxidant capacities of these dimeric oxidation products remain unknown. Via high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometry (MS/MS), formation kinetics and cellular uptake of EGCG and its major oxidation products are quantified. The antioxidant capacity is determined on a cellular level using a modified dichlorofluorescein (DCF) approach. As a first result, oxidation product quantities of up to 21 µM each are measured after incubation of 50 µM EGCG. While EGCG is taken up equimolarly, its major oxidation products are accumulated in hepatocarcinoma HepG2 cells at millimolar concentrations, especially theasinensin A (TSA). Lastly, the oxidation products show higher antioxidant properties than the monomer EGCG. In correlation with cellular uptake, TSA displays the highest capacity of all tested analytes. The findings reveal the strong influence of EGCG oxidation products on its bioactivity in vitro.
Spatiotemporal Changes and Location Choice of Foreign Direct Investment in China

Foreign direct investment (FDI) has been pouring into China for decades. This article analyzes the spatial distribution and mechanism of FDI inflows to Chinese city-regions, combining location theories with the Chinese context. It provides a fresh perspective for understanding spatial FDI inflows in China. The spatial pattern of significant clustering features in FDI inflows remains, but it has shown a weakening trend over the past two decades. The Yangtze River Delta has grown as the largest agglomeration region of FDI in China. The great regional development in midwest China has brought large amounts of FDI to inland cities as well. These are atypical cases, though, as spatial dependence of FDI inflows based on geographic proximity is insignificant on a national scale. Local economic factors like energy supply, market consumption, and labor wages play roles in the spatial FDI inflows. This work can enrich the research practice and deepen the knowledge of spatial inequalities of FDI in the Chinese context.
Model Predictive Direct Torque With Fault Tolerance Control for a Permanent Magnet Synchronous Generator Based on Vienna Rectifier

This paper presents the fault tolerance of model predictive direct torque control for a permanent magnet synchronous generator under a faulty Vienna rectifier. The fault applied includes open-switch and short-switch fault in a particular active switching device of the Vienna rectifier. The measured input current is used in the proposed fault diagnosis approach to detect the switch fault’s position without any additional hardware being implemented. Whenever a switching fault occurs at any phase of the Vienna rectifier, the available switching vectors for prediction control are reduced from five to four. The feasibility and effectiveness of the proposed fault tolerance model predictive direct torque control under a faulty Vienna rectifier are demonstrated and investigated through MATLAB/Simulink. The results show that it is feasible for the proposed method to be operated under a short-switch fault with slightly higher total harmonics distortion of the input current but out of control under an open-switch fault.
Landslide Inventory Mapping on VHR Images via Adaptive Region Shape Similarity

Landslide inventory mapping (LIM) is an important application in remote sensing for assisting in the relief of landslide geohazards. However, while conducting LIM tasks performing change detection analysis using bitemporal very high-resolution (VHR) remote sensing images, due to landslide usually occurred in a mountain area, the phenological difference and outcrop rock may bring pseudochanges to LIM results. In this article, a novel change detection approach based on adaptive region shape similarity (ARSS) is proposed for LIM with VHR remote sensing images to improve detection performance. First, an adaptive region around each pixel is extended to explore the contextual information. Then, direction lines within an adaptive region are defined to describe the shape of the adaptive region. Finally, the pixels located on each direction line are taken into account to build the corresponding histogram. The shape similarity between the pairwise histogram curves is measured by using the discrete Frchet distance (DFD). Once the bitemporal images are processed by using the abovementioned steps, a change magnitude image (CMI) is generated, while a threshold is then used to obtain a final binary change map. The proposed approach is applied to three pairs of landslide site images acquired with aerial plane and one land use change dataset acquired by Quick Bird Satellite. Compared with ten state-of-the-art methods, the proposed approach achieved LIMs and detection results with higher accuracies and better performance.
Recoilless Resonant Capture of Antineutrinos

Resonant capture of antineutrinos can be accomplished by exploiting the monoenergetic antineutrinos emitted in bound state beta-decay. Extending this idea, I explore conditions for recoilless resonant capture in the system 3H - 3He. Observation of such transitions can set the stage for placing stringent limits on the neutrino parameter theta-13 on an ultra-short baseline of ~9 m and for observing the gravitational red shift of neutrinos
Stable black holes: in vacuum and beyond

Black holes are important objects in our understanding of the universe, as they represent the extreme nature of General Relativity. The mathematics behind them has surprising geometric properties, and their dynamics is governed by hyperbolic partial differential equations. A basic question one may ask is whether these solutions to the Einstein equation are stable under small perturbations, which is a typical requirement to be physically meaningful. We illustrate the main conjectures regarding the stability problem of known black hole solutions and present some recent theorems regarding the fully nonlinear evolution of black holes in the case of vacuum and their interaction with matter fields.