Miracle-dz/UniFAR-FTUs huggingface dataset:
Abnormal Pre-mRNA Splicing in Exonic Fabry Disease-Causing GLA Mutations

Fabry disease (FD) is a rare X-linked disease due to a multiverse of disrupting mutations within the GLA gene encoding lysosomal α-galactosidase A (AGAL). Absent AGAL activity causes the accumulation of complex glycosphingolipids inside of lysosomes in a variety of cell types and results in a progressive multisystem disease. Known disease-associated point mutations in protein-coding gene regions usually cause translational perturbations and result in premature chain termination, punctual amino acid sequence alterations or overall altered sequence alterations downstream of the mutation site. However, nucleotide exchanges at the border between introns and exons can affect splicing behavior and lead to abnormal pre-mRNA processing. Prediction with the Human Splicing Finder (HSF) revealed an indication of a significant change in splicing-relevant information for some known FD-associated GLA mutations. To experimentally determine the extent of the change, we made use of a minigene reporter assay and verified alternative splicing events for the exonic mutations c.194G>T and c.358C>G, which led to the usage of alternative donor splice sites at exon 1 and exon 2, respectively. In addition, the mutations c.548G>T and c.638A>T led to significant exon 4 skipping. We conclude that splicing phenotype analysis should be employed in the in vitro analysis of exonic GLA gene mutations, since abnormal splicing may result in a reduction of enzyme activity and alter the amenability for treatment with pharmacological chaperone (PC).
Boundary element analysis of driven cavity flow for low and moderate Reynolds numbers

A boundary element method for steady two‐dimensional low‐to‐moderate‐Reynolds number flows of incompressible fluids, using primitive variables, is presented. The velocity gradients in the Navier–Stokes equations are evaluated using the alternatives of upwind and central finite difference approximations, and derivatives of finite element shape functions. A direct iterative scheme is used to cope with the non‐linear character of the integral equations. In order to achieve convergence, an underrelaxation technique is employed at relatively high Reynolds numbers. Driven cavity flow in a square domain is considered to validate the proposed method by comparison with other published data. Copyright © 2001 John Wiley & Sons, Ltd.
T4 Equal-Order Finite-Element Analysis for Laminar Flow and Forced-Convection Problems

This article describes a finite-element procedure for solving the primitive-variable form of the Navier-Stokes equations and energy equation in two dimensions. Solutions are obtained using the T4 equal-order element of unstructured grids in the spatial discretization and the operator-splitting scheme in the temporal advancement. With one extra node in the triangular element, the T4 element is more suitable to represent the realistic phenomena of flow and heat transfer by taking the central physical behavior of the triangle into consideration. The accuracy and robustness of the numerical model developed are validated by the applications of two test cases: forced convection in a sudden expansion and vortex shedding behind a square cylinder. The proposed model is then applied to investigate the effect of isolated cylinders on the heat transfer augmentation within a heated channel. Based on the numerical validations and experiments, the satisfactory performance of applying the developed model in T4 element and operator splitting scheme is verified.
Analytical Study on Forced Convection of Nanofluids With Viscous Dissipation in Microchannels

This article presents an analytical study on forced convection of laminar fully developed flow of incompressible, constant-property nanofluids in microchannels. Closed-form solutions for the temperature distributions in the radial direction with the incorporation of viscous dissipation are obtained under isoflux boundary condition. The effects of the governing parameters, including modified Brinkman number, thermal conductivity ratio, and nanoparticle volume fraction of the nanofluids, on the temperature distributions are investigated and analyzed for both heating and cooling processes. The heat transfer performance characterized by the Nusselt number is investigated based on the effects induced by these parameters. In the comparison between the models with and without viscous dissipation, it is found that the thermal performance of a microchannel is overrated when viscous dissipation is excluded in the analysis. It is concluded that these governing parameters are intimately interrelated in the flow and thermal analyses of nanofluids in microchannels. The interrelationship of the viscous dissipation effect and the nanoparticle volume fraction is examined in a contour deviation map of Nusselt numbers between the model with and without considering the viscous dissipation.
Long-time evolution and regions of existence of parametrically excited nonlinear cross-waves in a tank

Results of an experimental and numerical study of parametrically excited nonlinear cross-waves in the vicinity of the cut-off frequency, are reported. Experiments are performed at three cross-wave modes and in the whole range of existence of cross-waves. Numerical studies are based on the solution of the nonlinear Schrödinger equation with a boundary condition at the wavemaker which corresponds to parametric excitation. The validity of the scaling procedure adopted in the model is verified experimentally. Dissipation is incorporated in the model equation and in the wavemaker boundary condition. The influence of the wave breaking on the range of existence of cross-waves is discussed and the relation between the maximum possible steepness of cross-waves and the limits of their existence is obtained.
HINODE OBSERVATION OF THE MAGNETIC FIELDS IN A SUNSPOT LIGHT BRIDGE ACCOMPANIED BY LONG-LASTING CHROMOSPHERIC PLASMA EJECTIONS

We present high-resolution magnetic field measurements of a sunspot light bridge (LB) that produced chromospheric plasma ejections intermittently and recurrently for more than 1 day. The observations were carried out with the Hinode Solar Optical Telescope on 2007 April 29 and 30. The spectro-polarimeter reveals obliquely oriented magnetic fields with vertical electric current density higher than 100 mA m−2 along the LB. The observations suggest that current-carrying highly twisted magnetic flux tubes are trapped below a cusp-shaped magnetic structure along the LB. The presence of trapped current-carrying flux tubes is essential for causing long-lasting chromospheric plasma ejections at the interface with pre-existing vertically oriented umbral fields. A bidirectional jet was clearly detected, suggesting magnetic reconnections occurring at very low altitudes, slightly above the height where the vector magnetic fields are measured. Moreover, we found another strong vertical electric current on the interface between the current-carrying flux tube and pre-existing umbral field, which might be a direct detection of the currents flowing in the current sheet formed at the magnetic reconnection sites.
A Preliminary Assessment of Using Spatiotemporal Lightning Patterns for a Binary Classification of Thunderstorm Mode

AbstractThis study provides a preliminary, regional assessment of the viability of using spatiotemporal lightning patterns to classify storms into single- versus multi- and supercell storm modes. Total lightning flashes (intracloud and cloud-to-ground flashes) occurring during the afternoon and evening of the period May–August 2012 within an area of the central Appalachian Mountains region were grouped based on their spatial and temporal characteristics using single-linkage clustering. The resulting discrete thunderstorm clusters were characterized in terms of duration, motion, areal extent, and shape. These values were used to formulate four individual attribute scores representing the similarity to the expected values for a typical single-cell thunderstorm. The four scores were then combined into a storm index (SI) using relative weights determined through the analytic hierarchy process (AHP) performed on input from operational forecasters. Of the study days, 89 (72.4%) possessed appreciable lightning, .
Feature Selection by ModifiedBoostARoota and Classification by CatBoost Model on High Dimensional Heart Disease Datasets

—As heart disease is the leading cause of mortality worldwide, early detection and prevention of the disease would reduce the mortality rate. Various Machine Learning Algorithms are employed in the classification and prediction of diseases. For accurate prediction, Feature Selection algorithms are employed to choose features that have a significant association with the disease or target variable. This would reduce computing time and improve the prediction performance. In this paper, ModifiedBoostARoota (MBAR) algorithm was used for Feature Selection, and classifiers CatBoost, XGBoost, Decision Tree, Extra Trees Classifier, Support Vector Classifier, Logistic Regression, K Nearest Neighbors, Naive Bayes, and Random Forest were applied on UCI Arrhythmia dataset and UCI Z-Alizadeh Sani dataset. Synthetic Minority Over Sampling Technique (SMOTE) was used to balance the dataset. A comparison of the performance of the models on the imbalanced and balanced datasets shows that MBAR with CatBoost classifier gives better accuracy of 92.76% on the balanced Z-Alizadeh Sani dataset and 86.33% on the balanced Arrhythmia dataset.
Classification of a Ferry Network Activity Based on ES Sensors and Convolutional Neural Networks

In this article, a convolutional neural network (CNN) is proposed to classify the activity of a marine vessel network based on real-time data from passive electronic support (ES) sensor. The data are measured by a passive ES sensor based on the daily activity of the network for 24 h. The data are stored as formats of pulse descriptor words (PDWs). The pulse parameters of pulse amplitude (PA), pulsewidth (PW), pulse frequency (PF), and angle of arrival (AoA) are extracted from each PDW and combined into arrays with multiple denominations. The hybrid strategy based on oversampling and undersampling approaches is proposed to handle the imbalanced problem in the PDW datasets. The CNN model is trained and tested in two different cases. The first case involves the measurement of the accuracy and the training time of the model using different array combinations of PA, PW, PF, and AoA, whereas the approach of hybrid data sampling is applied for the second case. An exhaustive analysis is conducted to investigate the number of activity classes that can be achieved from the PDWs data while maintaining the high accuracy of the classification model. Experimental results show that the proposed system can achieve higher accuracy by utilizing more pulse parameters. In addition, the proposed system performs better than the existing system in terms of accuracy in different classes. More importantly, the results also show that the proposed system can get a high number of classes of 24 that cover the entire activities of the ferry network with the highest overall accuracy of 0.9877.
Sign Controllability of a Nonnegative Matrix and a Positive Vector

An n-by-n matrix A and a vector b are controllable if and only if the matrix $[ b,Ab,A^2 b, \ldots ,A^{n - 1} b ]$ has rank n. An array with each entry equal to +, –, or 0 is a sign pattern. If ${\bf A}$ and ${\bf B}$ are sign patterns of orders n-by-n and n-by-1, respectively, then the pair $( {\bf A},{\bf B} )$ is called sign controllable if $( A,b )$ is controllable for all $A \in {\bf A}$ and for all $b \in {\bf B}$ . Sign controllability of a nonnegative sign pattern ${\bf A}$ and a positive sign pattern ${\bf B}$ are characterized, and sufficient conditions for other cases of the sign controllability problem are given.
An exact solution of the ephemeris-curve problem

We new method is presented for the determination of apsidal motion parameters from observed times of minima of eccentric eclipsing binary stars. Previous methods have relied on approximations which, in the most accurate case, include terms up to the fifth power of the eccentricity. The new method is exact − no approximations are used. Instead, iterative numerical methods are used to solve the transcendental equations to arbitrarily high precision. A Levenberg-Marquardt method is used to obtain simultaneously the optimum values of all fitting parameters and their mean errors. As an example, the method is used to analyze the apsidal motion of V523 Sgr
Anodal-TDCS over Left-DLPFC Modulates Motor Cortex Excitability in Chronic Lower Back Pain

Chronic pain is associated with abnormal cortical excitability and increased pain intensity. Research investigating the potential for transcranial direct current stimulation (tDCS) to modulate motor cortex excitability and reduce pain in individuals with chronic lower back pain (CLBP) yield mixed results. The present randomised, placebo-controlled study examined the impact of anodal-tDCS over left-dorsolateral prefrontal cortex (left-DLPFC) on motor cortex excitability and pain in those with CLBP. Nineteen participants with CLBP (Mage = 53.16 years, SDage = 14.80 years) received 20-min of sham or anodal tDCS, twice weekly, for 4 weeks. Short interval intracortical inhibition (SICI) and intracortical facilitation (ICF) were assessed using paired-pulse Transcranial Magnetic Stimulation prior to and immediately following the tDCS intervention. Linear Mixed Models revealed no significant effect of tDCS group or time, on SICI or ICF. The interactions between tDCS group and time on SICI and ICF only approached significance. Bayesian analyses revealed the anodal-tDCS group demonstrated higher ICF and SICI following the intervention compared to the sham-tDCS group. The anodal-tDCS group also demonstrated a reduction in pain intensity and self-reported disability compared to the sham-tDCS group. These findings provide preliminary support for anodal-tDCS over left-DLPFC to modulate cortical excitability and reduce pain in CLBP.
Inside out Porphyridium cruentum: Beyond the Conventional Biorefinery Concept

Here, an unprecedented biorefinery approach has been designed to recover high-added value bioproducts starting from the culture ofPorphyridium cruentum. This unicellular marine red alga can secrete and accumulate high-value compounds that can find applications in a wide variety of industrial fields. 300 ± 67 mg/L of exopolysaccharides were obtained from cell culture medium; phycoerythrin was efficiently extracted (40% of total extract) and isolated by single chromatography, with a purity grade that allowed the crystal structure determination at 1.60 Å; a twofold increase in β-carotene yield was obtained from the residual biomass; the final residual biomass was found to be enriched in saturated fatty acids. Thus, for the first time, a complete exploitation ofP. cruentumculture was set up.
Determination of Hydraulic Roughness Coefficients of Some Vegetated Species in Awka, Nigeria

In this study, selected types of grasses were studied to determine their hydraulic roughness coefficient and to select the most suitable grass for erosion control. The experiments were performed in twelve trapezoidal open channels measuring 5 m x 0.12 m x 0.03 m at different flow depths (0.001m, 0.002m, 0.003m, 0.004m and 0.005m) and at varying bed slope (0.2%, 0.3%, and 0.4%). Overall, Bahama grass showed the highest Manning’s n-value due to its deep root system and creeping nature. For each slope, the degree of submergence, Reynolds number, and flow depth increases as Manning’s n decreases. As the flow depth increases, the Reynolds number increased while the drag coefficient, Cd decreases.
SENTIMENT ANALYSIS IN SERVICE QUALITY OF EUGENE’S VILLA OF BALER BASED ON AIRBNB REVIEWS

New events that affect consumer behaviour after visiting rental properties emerge as technology develops. The exchange of travel-related information and reviews of holiday experiences on online booking and feedback sites is an aspect of these events. The goal of this study is to determine how satisfied customers are with hotel and accommodation. To further enhance the quality of their services, the researchers used the hotel's Airbnb reviews to gain a deeper understanding of the management techniques and resources used by the Villa. This study looked at customer reviews using sentiment analysis and multiclass classification. Between 2018 and 2022, Airbnb gathered customer opinions and reviews. The acquired data were looked at using sentiment analysis. According to the sentiment analysis's findings, Eugene's Place Villa offers good customer service, with 70% favourable and only 30% of negative sentiments. Additionally, all reviews were multiclass classified into five SERVQUAL qualities. The overview of the most talked-about subjects by consumers in their evaluations was discovered by interpreting the results. This study provides information that businesses, especially those in the tourism sector, can use to better understand their clients and raise the bar on the quality of their services.
Structure of the magnetopause for low Mach number and strongly northward interplanetary magnetic field

We use ISEE magnetic field and plasma data to examine dayside magnetopause crossings under conditions of low Mach number and strongly northward interplanetary magnetic field (IMF). When the solar wind Mach number is low, the IMF strength and magnetosheath field strength are large, and we expect the effects of magnetic reconnection to be the strongest. When the IMF is strongly northward, we find that the location of the magnetopause boundary layer is very stationary in the space, and we observe many features that are common for both typical and low Mach numbers. However, under low Mach number conditions, we have observed some features that would be expected for cusp reconnection. The boundary layer near the subsolar region contains heated magnetosheath plasma with little hot magnetospheric component that has clearly entered the magnetosphere elsewhere. At least some of the structures present in the boundary layer are impulsive. Inside the boundary layer there is also clear evidence of accelerated flow from the cusp region for strongly northward IMF at low Mach number. Reconnection beyond the cusp can explain the observed field, plasma, and flow signatures. Therefore at low Mach number, reconnection is important in the formation of the boundary layer for northward IMF.
Unsupervised Domain Adaptive 3-D Detection With Data Adaption From LiDAR Point Cloud

Existing unsupervised domain adaptive (UDA) 3-D detection methods only address the domain gap caused by the prior size of 3-D bounding boxes between different datasets, which ignore the difference in the distribution of point clouds. To address this challenge, we propose an unsupervised domain adaptive 3-D detection by data adaption, which trains the model by transferring the source domain instances into the target domain scenes by adaptive point distribution. First, an instance transferring method is proposed for selecting and transferring suitable instances from the source domain into the target domain scene; Second, we propose an adaptive downsampling method to adjust the point cloud distribution of the transferred instances to approximate the points’ distribution of the target domain. Finally, our method trains the randomly initialized detector with the pseudoinstances in the target domain. To the best of our knowledge, we first address the UDA problem of the 3-D detectors from the perspective of data. Extensive experiments on several popular datasets show that the proposed method outperforms the existing state-of-the-art (SOTA) methods by a large margin. Further experiments also show our approach is detector-agnostic and achieves consistent and significant gains on all types of 3-D detectors.
Evaluation of Bioactive Secondary Metabolites from Ponyfish Associated Bacteria (Photobacterium leiognathi)

The marine environment continues to surprise us by producing novel bioactive substances with a wide range of benefits for humans. Materials and Methods: Marine bioluminescent bacteria Photobacterium leiognathi was isolated from pony fish, Secutorruconius which was confirmed with microscopic and molecular characterization. The secondary metabolite of the isolated bacteria was extracted with dichloromethane. The chemical fingerprinting of the isolated metabolite was analyzed through TLC, FT-IR, and HPLC. The nature of the compound present in the metabolite was identified in the gas chromatography-mass spectrometry analysis (GC - MS). The isolated extract was investigated for its antibacterial property against 10 human pathogenic bacteria and also its antioxidant activity using different assays such as 1, 1-Diphenyl-2-picrylhydrazyl, Phosphomolybdenum, Metal chelating, Hydroxyl radical scavenging and hydrogen peroxide scavenging activity. Results: The Presence of functional groups including phenols, sugars, and amino acids in the extracts were identified by TLC. Totally, nine peaks were obtained for the crude extract through the FTIR spectrum range of 400 to 4000 cm-1 for the active sample. The DCM extract showed a broad spectrum of antibacterial activity against the six human bacterial pathogens. Secondary metabolites from the bioluminescent bacteria, P. leiognathi, have strong antioxidant properties. These results will be instrumental in developing novel products with biosensors and bio-imaging applications using P. leiognathi.
Actualizing the Business English Course by Using an E-Commerce Platform

The rapid development of digital technology has become a trigger for educators to create and demonstrate up-to-date yet flexible learning methods. Educators are challenged to integrate lessons with the medium of available technology. In this study, the researcher encourages students to engage in real business (buying and selling) activities by utilizing electronic commerce (e-commerce) platform to actualize the purpose of the Business English course. The descriptive qualitative method used employs questionnaires for data collection. The objectives of this study are: to find out the role of e-commerce platforms in Business English learning and the student’s course achievement. Since this learning integration is experiential to the students, the researchers adopt the concept of experiential learning by Wolfe & Byrne with several adjusted phases, grouping, designing, conducting, transaction, final report, evaluation, and feedback. Thus, the results showed that the students gave positive feedback towards the e-commerce project and the students gained a lot of course achievements such as real business experience, the ability to operate e-commerce platforms, selling, promotion, marketing knowledge, and teamwork management since the e-commerce platform was employed in the Business English course. This research might be advantageous for enhancing and evaluating the running and the upcoming Business English course. Meanwhile, this project would be a fostering supplement for the students to grow their entrepreneurial spirit in the future.