Miracle-dz/UniFAR-FTUs huggingface dataset:
Selenized Polymer-Lipid Hybrid Nanoparticles for Oral Delivery of Tripterine with Ameliorative Oral Anti-Enteritis Activity and Bioavailability

The oral delivery of insoluble and enterotoxic drugs has been largely plagued by gastrointestinal irritation, side effects, and limited bioavailability. Tripterine (Tri) ranks as the hotspot of anti-inflammatory research other than inferior water-solubility and biocompatibility. This study was intended to develop selenized polymer-lipid hybrid nanoparticles loading Tri (Se@Tri-PLNs) for enteritis intervention by improving its cellular uptake and bioavailability. Se@Tri-PLNs were fabricated by a solvent diffusion-in situ reduction technique and characterized by particle size, ζ potential, morphology, and entrapment efficiency (EE). The cytotoxicity, cellular uptake, oral pharmacokinetics, and in vivo anti-inflammatory effect were evaluated. The resultant Se@Tri-PLNs were 123 nm around in particle size, with a PDI of 0.183, ζ potential of −29.70 mV, and EE of 98.95%. Se@Tri-PLNs exhibited retardant drug release and better stability in the digestive fluids compared with the unmodified counterpart (Tri-PLNs). Moreover, Se@Tri-PLNs manifested higher cellular uptake in Caco-2 cells as evidenced by flow cytometry and confocal microscopy. The oral bioavailability of Tri-PLNs and Se@Tri-PLNs was up to 280% and 397% relative to Tri suspensions, respectively. Furthermore, Se@Tri-PLNs demonstrated more potent in vivo anti-enteritis activity, which resulted in a marked resolution of ulcerative colitis. Polymer-lipid hybrid nanoparticles (PLNs) enabled drug supersaturation in the gut and the sustained release of Tri to facilitate absorption, while selenium surface engineering reinforced the formulation performance and in vivo anti-inflammatory efficacy. The present work provides a proof-of-concept for the combined therapy of inflammatory bowel disease (IBD) using phytomedicine and Se in an integrated nanosystem. Selenized PLNs loading anti-inflammatory phytomedicine may be valuable for the treatment of intractable inflammatory diseases.
Ranking and Unranking of Non-regular Trees

Abstract This paper is concerned with rooted, ordered and non-regular trees. A tree is said to be non-regular if every internal node of the tree may not have the same number of sons. A ranking function for mapping a set of non-regular trees to a set of positive integers is derived. As a result of this, a ranking and an unranking algorithms for non-regular trees can be readily constructed. The unranking algorithm, of course, can be used for generating random non-regular trees.
Pixelating Structural Color with Cholesteric Spherical Reflectors

While structural color is a powerful means of obtaining saturated and durable pigments that minimize absorption, scattering, and negative environmental impact, appearing naturally in animals and plants as well as in carefully designed artificial composites, it is fundamentally limited to spectral colors, leaving white and other mixed colors elusive. It also normally suffers from a strong viewing angle dependence, making color definition difficult. Herein, it is demonstrated that these challenges can be overcome by using cholesteric spherical reflectors (CSRs), spheres of polymerized cholesteric liquid crystal with radial alignment of the self‐assembled helical structure. Exhibiting omnidirectional selective retroreflectivity of well‐defined color, CSRs are discrete “packages” of structural color. This allows them to be used as pixels for generating nonspectral colors, following the principle of digital displays. A method of creating densely packed monolayers of CSRs with red (R), green (G), and blue (B) retroreflection is developed. Mixing them in equal proportions gives a white surface. By embedding the CSRs in an index matching transparent medium, nonselective specular reflections and scattering are avoided. The approach can be used to create arbitrary colors, including nonspectral ones, without any absorption or nonselective scattering, opening doors to decorating surfaces as desired while minimizing light loss.
Effect of Drying Technique on the Volatile Content of Ecuadorian Bulk and Fine-Flavor Cocoa

Cocoa (Theobroma cacao L.) is one of the most widely consumed edible seeds in the world affected by on-farm processing. This study investigated the effect of different drying techniques, namely oven drying (OD), sun drying (SD), and a modification of sun drying using black plastic sheeting (SBPD), on the volatile profile of fine-flavor and bulk cocoa varieties analyzed by HS-SPME-GC-MS. A total of sixty-four volatile compounds were identified in fresh and dried cocoa. As expected, the volatile profile was clearly modified after the drying step, showing strong differences among cocoa varieties, this factor and its interaction with the drying technique having greater influence according to the ANOVA simultaneous component analysis. A principal component analysis revealed a close relationship between the volatile content of bulk cocoa samples dried by the OD and SD techniques, whereas slight volatile modifications were perceived among fine-flavor samples dried using the three different techniques under study. Overall, the results provide the basis for the potential application of the simplest inexpensive SBPD technique in order to accelerate the drying process of sun drying and produce cocoa with similar (fine-flavor cocoa) or improved (bulk cocoa) aromatic quality to that formed using the traditional SD or the small-scale OD.
Nonparametric estimation of a surrogate density function in infinite-dimensional spaces

A density function is generally not well defined in functional data context, but we can define a surrogate of a probability density, also called pseudo-density, when the small ball probability can be approximated by the product of two independent functions, one depending only on the centre of the ball. The aim of this paper is to study two kernel methods for estimating a surrogate probability density for functional data. We present asymptotic properties of these estimators: the convergence in probability and their rates. Simulations are given, including a functional version of smoother bootstrap selection of the parameters of the estimate.
Relics of an Eruptive Starburst in NGC 1569

H-alpha, R, and I band CCD images of the posteruptive irregular galaxy NGC 1569 are presented. The discovery of two archlike structures of diffuse H-alpha emission located more than 1 kpc beyond the star-forming bar is reported. These features are used to estimate an age for the near-nuclear starburst that created them along with other filamentary and armlike structures previously seen in H-alpha photographs. The gravitational and kinematic energies associated with the H-alpha arcs are estimated to be orders of magnitude higher than can be provided by a single supernova explosion. Coherent outbursts involving thousands of supernovae each could explain the diffuse H-alpha features without exceeding the starbirth rate inferred from the total H-alpha luminosity of the galaxy. 46 refs.
The phenomenon of decision oscillation: A new consequence of pathology in game trees

Random minimaxing studies the consequences of using a random number for scoring the leaf nodes of a full width game tree and then computing the best move using the standard minimax procedure. Experiments in Chess showed that the strength of play increases as the depth of the lookahead is increased. Previous research by the authors provided a partial explanation of why random minimaxing can strengthen play by showing that, when one move dominates another move, then the dominating move is more likely to be chosen by minimax. This paper examines a special case of determining the move probability when domination does not occur. Specifically, we show that, under a uniform branching game tree model, whether the probability that one move is chosen rather than another depends not only on the branching factors of the moves involved, but also on whether the number of ply searched is odd or even. This is a new type of game tree pathology, where the minimax procedure will change its mind as to which move is best, independently of the true value of the game, and oscillate between moves as the depth of lookahead alternates between odd and even.
Search for massive neutrinos in the decay. pi -->. e. nu

The positron spectrum from the decay . pi. /sup +/. -->. e/sup +/. nu. /sub e/ has been examined for evidence of peaks arising from an admixture in the . nu. /sub e/ weak eigenstate of massive neutrinos. Limits on the intensity of such peaks, together with the measured . pi -->. e.nu. branching ratio, have been used to derive constraints on the neutrino mixing parameters over the range 4 MeV
Design and In Silico Validation of a Novel MZF-1-Based Multi-Epitope Vaccine to Combat Metastatic Triple Negative Breast Cancer

Immunotherapy is emerging as a potential therapeutic strategy for triple negative breast cancer (TNBC) owing to the immunogenic landscape of its tumor microenvironment. Interestingly, peptide-based cancer vaccines have garnered a lot of attention as one of the most promising cancer immunotherapy regimens. Thus, the present study intended to design a novel, efficacious peptide-based vaccine against TNBC targeting myeloid zinc finger 1 (MZF1), a transcription factor that has been described as an oncogenic inducer of TNBC metastasis. Initially, the antigenic peptides from MZF1 were identified and evaluated based on their likelihood to induce immunological responses. The promiscuous epitopes were then combined using a suitable adjuvant (50S ribosomal L7/L12 protein) and linkers (AAY, GPGPG, KK, and EAAAK) to reduce junctional immunogenicity. Furthermore, docking and dynamics analyses against TLR-4 and TLR-9 were carried out to understand more about their structural stability and integrity. Finally, the constructed vaccine was subjected to in silico cloning and immune simulation studies. Overall, the findings imply that the designed chimeric vaccine could induce strong humoral and cellular immune responses in the desired organism. In light of these findings, the final multi-epitope vaccine could be used as an effective prophylactic treatment for TNBC and may pave the way for future research.
A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach

The offline signature verification system’s feature extraction stage is regarded as crucial and has a significant impact on how well these systems perform because the quantity and calibration of the features that are extracted determine how well these systems can distinguish between authentic and fake signatures. In this study, we introduced a hybrid method for extracting features from signature images, wherein a Convolutional Neural Network (CNN) and Histogram of Oriented Gradients (HOG) were used, followed by the feature selection algorithm (Decision Trees) to identify the key features. Finally, the CNN and HOG methods were combined. Three classifiers were employed to evaluate the efficacy of the hybrid method (long short-term memory, support vector machine, and K-nearest Neighbor). The experimental findings indicated that our suggested model executed satisfactorily in terms of efficiency and predictive ability, with accuracies of (95.4%, 95.2%, and 92.7%) the UTSig dataset, and (93.7%, 94.1%, and 91.3%, respectively) with the CEDAR dataset. This accuracy is deemed to be of high significance, particularly given that we checked skilled forged signatures that are more difficult to recognize than other forms of forged signatures like (simple or opposite).
Increasing reproductive health literacy among adolescent females in Islamic boarding schools through peer education

The importance of reproductive health education in Islamic boarding schools is often overlooked. Whereas the prevalence of reproductive health issues among teenage females in Islamic boarding schools remains high, including anemia, vaginal discharge, dysmenorrhea, premenstrual syndrome, and personal hygiene. These difficulties have an impact such as absenteeism at school, wasting and infertility. Peer education is seen to be capable of addressing these issues since adolescents in Islamic boarding schools engage with their peers more frequently than with their families, instructors, or health workers. The purpose of this activity is to increase participants' knowledge, attitudes, and skills on peer education and adolescent reproductive health. Adolescent reproductive health education, peer education training, and assistance in extracurricular activities that have the potential to help establish healthy madrasas are among the activities carried out. Thirty students who wanted to become peer educators took part in this activity. The results of the activities were evaluated using pre-test and post-test questionnaires, as well as the practice of health education and counseling. The result of this activity is an increase in participants' knowledge about adolescent reproductive health by 8.28 and peer education by 5.17 after participating in the activity. Participants are also able to recognize reproductive health issues that commonly arise in teens and how to prevent them.
A Metabolomic and Transcriptomic Study Revealed the Mechanisms of Lumefantrine Inhibition of Toxoplasma gondii

Toxoplasma gondii is an obligate protozoon that can infect all warm-blooded animals including humans. T. gondii afflicts one-third of the human population and is a detriment to the health of livestock and wildlife. Thus far, traditional drugs such as pyrimethamine and sulfadiazine used to treat T. gondii infection are inadequate as therapeutics due to relapse, long treatment period, and low efficacy in parasite clearance. Novel, efficacious drugs have not been available. Lumefantrine, as an antimalarial, is effective in killing T. gondii but has no known mechanism of action. We combined metabolomics with transcriptomics to investigate how lumefantrine inhibits T. gondii growth. We identified significant alternations in transcripts and metabolites and their associated functional pathways that are attributed to lumefantrine treatment. RH tachyzoites were used to infect Vero cells for three hours and subsequently treated with 900 ng/mL lumefantrine. Twenty-four hours post-drug treatment, we observed significant changes in transcripts associated with five DNA replication and repair pathways. Metabolomic data acquired through liquid chromatography-tandem mass spectrometry (LC-MS) showed that lumefantrine mainly affected sugar and amino acid metabolism, especially galactose and arginine. To investigate whether lumefantrine damages T. gondii DNA, we conducted a terminal transferase assay (TUNEL). TUNEL results showed that lumefantrine significantly induced apoptosis in a dose-dependent manner. Taken together, lumefantrine effectively inhibited T. gondii growth by damaging DNA, interfering with DNA replication and repair, and altering energy and amino acid metabolisms.
FBXO43 increases CCND1 stability to promote hepatocellular carcinoma cell proliferation and migration

Background and Aims Abnormal expression of E3 ubiquitin ligase plays an important role in the development and progression of hepatocellular carcinoma (HCC), although the mechanism has remained elusive. This study aimed to investigate the biological function and potential mechanism of FBXO43 in HCC. Methods FBXO43 expression in tissues and cells were detected by quantitative real-time PCR (qRT−PCR), Western blot, and immunohistochemistry (IHC). The Kaplan-Meier method and Cox regression analysis were used to explore the correlation between the expression level of FBXO43 and the clinical survival. MTT assay, EdU incorporation, colony formation, Transwell, and wound healing assays were performed to evaluate the function of FBXO43 in cell proliferation and migration in vitro. The interaction between FBXO43 and cyclin D1 (CCND1) was assessed by co-immunoprecipitation (Co-IP) assay and in vivo ubiquitination assay. Results We found that FBXO43 was upregulated in HCC patient tissues and positively associated with poor clinicopathological features. Meanwhile, HCC patients with high expression of FBXO43 had shorter overall survival (OS) and disease-free survival (DFS). Furthermore, knockdown of FBXO43 inhibited HCC cell proliferation, migration and epithelial-mesenchymal transition (EMT) in HCC cells. Mechanistically, FBXO43 interacted with CCND1 and promoted its stability by polyubiquitination, leading to HCC cell proliferation, migration and EMT. Functional rescue experiments demonstrated that knockdown of CCND1 blocks FBXO43-mediated cell proliferation and metastasis. Conclusions FBXO43, as an independent prognostic biomarker, promotes HCC cell proliferation, metastasis and EMT by stability of CCND1, which provides a new potential strategy for HCC treatment by targeting FBXO43-CCND1 axis.
Validation of the Spanish Version of the Trauma and Loss Spectrum Self-Report (TALS-SR): A Study on Healthcare Workers Facing the COVID-19 Pandemic

Background The present study aimed at reporting about the validity and reliability of the Spanish version of the Trauma and Loss Spectrum-Self Report (TALS-SR), an instrument based on a multidimensional approach to Post-Traumatic Stress Disorder (PTSD) and Prolonged Grief Disorder (PGD), including a range of threatening or traumatic experiences and significant losses, besides the spectrum of peri-traumatic stress reactions and post-traumatic stress symptoms that may occur. Methods A sample of 87 Health Care Workers (HCWs) employed in the COVID-19 Emergency Department at the Virgen de la Arrixaca and Reina Sofia Hospitals (Murcia, Spain) during the pandemic, was consecutively recruited and fulfilled the TALS-SR. Assessments also included the Impact of Event Scale-Revised (IES-R), to examine post-traumatic stress symptoms and probable PTSD. Nineteen HCWs fulfilled the TALS-SR again after three weeks from baseline for test–retest reliability. Results This study provides evidence of good internal consistency and test–retest reliability of the Spanish version of the TALS-SR. Strong support for the internal validity structure was obtained, with positive and significant correlations between the five symptomatologic domains and the symptomatologic total score. Significant and good correlations between the TALS-SR symptomatologic domains and the IES-R total and single domains’ scores were found. The Questionnaire also demonstrated to discriminate between subjects with and without PTSD, with subjects with PTSD showing significantly higher mean scores in each domain of the TALS-SR. Conclusion This study validates the Spanish version of TALS-SR, providing a useful instrument for a spectrum approach to PTSD and confirms the potential utility of this psychometric tool in both clinical practice and research settings.
Robust adaptive array beamforming with random error in cycle frequency

By exploiting the cyclostationary properties, the SCORE algorithms presented by Agee et al. (1990) have been shown to be effective in performing adaptive beamforming without requiring the direction vector of the desired signal. However, these algorithms suffer from severe performance degradation in the presence of a random error in cycle frequency. The authors first establish a statistical model of the cyclic correlation matrix when the random error exists. According to this statistical model, two robust methods based on the SCORE algorithms are developed to achieve robust adaptive beamforming against random error. Analytical formulas are then derived for evaluating the performance of the proposed methods. Several simulation examples are also presented for confirming the theoretical analysis and showing the effectiveness of the proposed methods.
Bibliometric analysis of augmented reality in education and social science

Augmented reality (AR) overlays virtual elements on real-time images. Because to its ubiquitous use on desktop computers and handheld devices, it has become a major study topic. AR provides benefits like engagement, motivation, and learning result, but drawbacks like the technology tool and application and pedagogical challenges. After 2015, global Google searches for AR increased. This study analyzed “AR” literature released after 2015. Exclusion and inclusion criteria are studies were divided into social sciences and education and published in English. Research should be published during 2015-2022. 3,823 studies were analyzed. AR publications will increase after 2020. Annual citations averaged 2.49. Computer & Education leads the top ten journals in citations. National Taiwan Normal University and Beijing Normal University have the most publications when ordered by writers’ institutions. China leads global publications, whereas the US leads overall publications. China led in citations, followed by the US. Macedonia led the average number of article citations, followed by Israel. The strategic map shows the center and density of key issues. “Student learning,” “AR applications,” and “AR technology” are linked and vital terms. Based on the results of the bibliometric study, researchers who wish to work on AR may emphasize theme-based learning studies and AR. Researchers that are considering conducting bibliometric analysis on AR are urged to conduct research utilizing many databases.
Radar imaging with compressed sensing

A novel technique for radar‐imaging inversions is proposed which leverages ideas from the emerging field of compressed sensing. This new method takes advantage of the transform sparsity inherent in natural images. Theoretical recovery results are promising and are borne out by simulations in which this technique outperforms Capon's method and the Maximum Entropy method. Preliminary results using data collected at the Jicamarca Radio Observatory are also presented.
An On-Line Version of the Encyclopedia of Integer Sequences

A Handbook of Integer Sequences was published by Academic Press in 1973, and contained an annotated list of 2372 sequences arranged in lexicographic order. Since then a great deal of new material has been added, and many improvements have been made to the original entries. The purpose of this note is to announce that the new version of the collection, The On-Line Encyclopedia of Integer Sequences can now be accessed by electronic mail.
Dynamic reconstruction of 3D structure and 3D motion

This paper presents a computational scheme for reconstructing 3D structure, 3D motion and complete surfaces from instantaneous image motion based on multiple frames. The scheme is motivated by psychophysical observations and designed to achieve efficient, robust and flexible behavior. The scheme consists of multiple interacting stages. At the structure-from-motion stage, relative depths and 3D velocities are estimated by minimizing the error in fit to the instantaneous 2D motion measurements and the overall deviation from rigidity. This nonlinear optimization is achieved by an efficient two-stage iterative algorithm. The temporal integration stage based on Kalman filtering effectively improves the 3D structure over multiple frames. The global motion of the observer or each constituent object can be computed at a later stage by using the estimated 3D velocities. The surface reconstruction stage reconstructs complete 3D surfaces, which can further stabilize the 3D structure recovery. The scheme can account for a number of psychophysical findings that include the perceptual demonstrations explored by Ramachandran et al. (Husain et al. 1989, Lappin et al. 1980) regarding interactions between two superimposed cylinders, and the experimental results using displays of moving points with short lifetimes (28, 55). <<ETX>>