Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of Bilayer Nanofibrous-Hydrogel Scaffold from Bacterial Cellulose, PVA, and Gelatin as Advanced Dressing for Wound Healing and Soft Tissue Engineering

Tissue engineering is currently one of the fastest-growing areas of engineering, requiring the fabrication of advanced and multifunctional materials that can be used as scaffolds or dressings for tissue regeneration. In this work, we report a bilayer material prepared by electrospinning a hybrid material of poly(vinyl alcohol) (PVA) and bacterial cellulose (BC NFs) (top layer) over a highly interconnected porous 3D gelatin-PVA hydrogel obtained by a freeze-drying process (bottom layer). The techniques were combined to produce an advanced material with synergistic effects on the physical and biological properties of the two materials. The bilayer material was characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and a water contact measurement system (WCMS). Studies on swelling, degradability, porosity, drug release, cellular and antibacterial activities were performed using standardized procedures and assays. FTIR confirmed cross-linking of both the top and bottom layers, and SEM showed porous structure for the bottom layer, random deposition of NFs on the surface, and aligned NFs in the cross section. The water contact angle (WCA) showed a hydrophilic surface for the bilayer material. Swelling analysis showed high swelling, and degradation analysis showed good stability. The bilayer material released Ag-sulfadiazine in a sustained and controlled manner and showed good antibacterial activities against severe disease-causing gram + ive and −ive (Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa) bacterial strains. In vitro biological studies were performed on fibroblasts (3T3) and human embryonic kidneys (HEK-293), which showed desirable cell viability, proliferation, and adhesion to the bilayer. Thus, the synergistic effect of NFs and the hydrogel resulted in a potential wound dressing material for wound healing and soft tissue engineering.
Viper Venom Phospholipase A2 Database: The Structural and Functional Anatomy of a Primary Toxin in Envenomation

Viper venom phospholipase A2 enzymes (vvPLA2s) and phospholipase A2-like (PLA2-like) proteins are two of the principal toxins in viper venom that are responsible for the severe myotoxic and neurotoxic effects caused by snakebite envenoming, among other pathologies. As snakebite envenoming is the deadliest neglected tropical disease, a complete understanding of these proteins’ properties and their mechanisms of action is urgently needed. Therefore, we created a database comprising information on the holo-form, cofactor-bound 3D structure of 217 vvPLA2 and PLA2-like proteins in their physiologic environment, as well as 79 membrane-bound viper species from 24 genera, which we have made available to the scientific community to accelerate the development of new anti-snakebite drugs. In addition, the analysis of the sequenced, 3D structure of the database proteins reveals essential aspects of the anatomy of the proteins, their toxicity mechanisms, and the conserved binding site areas that may anchor universal interspecific inhibitors. Moreover, it pinpoints hypotheses for the molecular origin of the myotoxicity of the PLA2-like proteins. Altogether, this study provides an understanding of the diversity of these toxins and how they are conserved, and it indicates how to develop broad, interspecies, efficient small-molecule inhibitors to target the toxin’s many mechanisms of action.
Controlled propulsion of wheel-shape flaky microswimmers under rotating magnetic fields

Effective propulsion of untethered micro-/nanorobots at low Reynolds numbers can offer possibilities for promising biomedical applications. Diverse locomotion modes have been proposed for propulsion at a small scale, and rolling is an alternative method which is significantly effective. Here, we demonstrate mass produced magnetic wheel-shape flaky microswimmers fabricated via a simple and cost-effective method. Locomotion behaviors under vertical rotating magnetic fields were studied, and the propulsion mechanisms were analyzed. They exhibited two modes to swim forward as tumbling and rolling, which relied on the actuating field and the fluid. The rolling microswimmers could be propelled and steered precisely and a high velocity can be easily reached. Forward velocity and transition frequency within diverse fields and fluids were analyzed, and side slip effects when rolling at a camber angle were also observed. Such microswimmers synthesized in bulk with alternative locomotion modes and excellent swimming performances may have potential in low Reynolds number fluids.Effective propulsion of untethered micro-/nanorobots at low Reynolds numbers can offer possibilities for promising biomedical applications. Diverse locomotion modes have been proposed for propulsion at a small scale, and rolling is an alternative method which is significantly effective. Here, we demonstrate mass produced magnetic wheel-shape flaky microswimmers fabricated via a simple and cost-effective method. Locomotion behaviors under vertical rotating magnetic fields were studied, and the propulsion mechanisms were analyzed. They exhibited two modes to swim forward as tumbling and rolling, which relied on the actuating field and the fluid. The rolling microswimmers could be propelled and steered precisely and a high velocity can be easily reached. Forward velocity and transition frequency within diverse fields and fluids were analyzed, and side slip effects when rolling at a camber angle were also observed. Such microswimmers synthesized in bulk with alternative locomotion modes and excellent swimming.
User Action-based Financial Fraud Detection Method by SVDD

This thesis proposes a method to detect sophisticated electronic financial frauds using SVDD. The financial industry detects electronic financial frauds using FDS, but its false positive rate is high enough to require additional authentications. It causes customers inconveniences and does not detect those sophisticated financial frauds. In order to resolve the aforementioned issues, this study proposes a method to detect such potential frauds by profiling and vectorizing user activities and device information by SVDD.
An Engineered M13 Filamentous Nanoparticle as an Antigen Carrier for a Malignant Melanoma Immunotherapeutic Strategy

Bacteriophages, prokaryotic viruses, hold great potential in genetic engineering to open up new avenues for vaccine development. Our study aimed to establish engineered M13 bacteriophages expressing MAGE-A1 tumor peptides as a vaccine for melanoma treatment. Through in vivo experiments, we sought to assess their ability to induce robust immune responses. Using phage display technology, we engineered two M13 bacteriophages expressing MAGE-A1 peptides as fusion proteins with either pVIII or pIIII coat proteins. Mice were intraperitoneally vaccinated three times, two weeks apart, using two different engineered bacteriophages; control groups received a wild-type bacteriophage. Serum samples taken seven days after each vaccination were analyzed by ELISA assay, while splenocytes harvested seven days following the second boost were evaluated by ex vivo cytotoxicity assay. Fusion proteins were confirmed by Western blot and nano-LC-MS/MS. The application of bacteriophages was safe, with no adverse effects on mice. Engineered bacteriophages effectively triggered immune responses, leading to increased levels of anti-MAGE-A1 antibodies in proportion to the administered bacteriophage dosage. Anti-MAGE-A1 antibodies also exhibited a binding capability to B16F10 tumor cells in vitro, as opposed to control samples. Splenocytes demonstrated enhanced CTL cytotoxicity against B16F10 cells. We have demonstrated the immunogenic capabilities of engineered M13 bacteriophages, emphasizing their potential for melanoma immunotherapy.
Investigating the molecular mechanism of traditional Chinese medicine for the treatment of placental syndromes by influencing inflammatory cytokines using the Mendelian randomization and molecular docking technology

Introduction Placental syndromes, which include pregnancy loss, preterm birth, gestational diabetes mellitus (GDM), and hypertensive disorders in pregnancy (HDP), have a strong association with disorder inflammatory reactions. Nonetheless, the exact causal relationship has not been established. This study aims to investigate the causal relationship between placental syndromes and inflammatory cytokines utilizing Mendelian randomization (MR). Additionally, we examined the interaction between small molecular compounds derived from traditional Chinese medicine and inflammatory cytokines using molecular docking method. Methods After obtaining the data of inflammatory cytokines and placental syndromes, as well as establishing single nucleotide polymorphisms (SNPs), we employed the inverse variance weighted (IVW) method to assess the causal relationship. We also accessed the heterogeneity and the horizontal pleiotropy of these data. The “ClusterProfiler” R package was utilized for Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) term analyses. The protein-protein interaction (PPI) network was constructed using STRING database. AutoDock Vina software was used for molecular docking, and Discovery Studio 2019 was used for visualization purposes. Results We found that the growth regulated oncogene A (GROA) and interleukin-9 (IL-9) were associated with the development of pregnancy hypertension, whereas interleukin-10 (IL-10) and hepatocyte growth factor (HGF) were linked to the occurrence of preeclampsia. Moreover, there were correlations observed between interleukin-18 (IL-18), IL-10, macrophage colony-stimulating factor (MCSF), and platelet-derived growth factor BB (PDGFbb) in cases of chronic hypertension combined with pregnancy (CHP). Additionally, macrophage migration inhibitory factor (MIF) exhibited a connection with GDM, and TNF related apoptosis inducing ligand (TRAIL) demonstrated a causal relationship with preterm birth. It is plausible to suggest that interleukin-1β (IL-1β) might contribute to the promotion of pregnancy loss. All of the binding free energy values of small molecular compounds with inflammatory cytokines were below −5.0 kcal/mol. Furthermore, all of the RMSD values were less than 2. Conclusions GROA, IL-1β, IL-9, IL-10, IL-18, MIF, MCSF, HGF, PDGFbb and TRAIL were found to be causally associated with placental syndromes. Molecular docking analysis revealed that small molecular compounds, such as puerarin, magnolol, atractylenolide I, paeoniflorin, tumulosic acid and wogonin, are closely bound to these inflammatory cytokines.
The Implementation of Roy's Safety-First Criterion in Stock Portfolio Selection

Statistical data shows that the Indonesian capital market has experienced significant growth. This growth is attributed to public awareness of the benefits of stock investments. However, with an increasing number of new investors entering the stock market, attention to investment risks deepens. Many investors prefer stocks that are easily predictable and have low risk, as higher volatility increases the level of uncertainty in obtaining returns. The relatively high risk level in investing requires investors to minimize risks, one of which is by diversifying funds into various investment assets, commonly known as optimal portfolio selection. An optimal portfolio can be formed using various methods and approaches. One method for portfolio selection is the application of the Safety First Criterion, a method dependent on downside risk, referring to risks that result in losses. This article conducts a simulation of the implementation of Roy's Safety First Criterion using stock data from the largest companies in eleven sectors over the past year. These sectors include basic materials, communication services, consumer cyclical, consumer defensive, energy, financial services, healthcare, real estate, technology, and utilities. Based on this analysis, out of the eleven stocks, six stocks meet Roy's criteria: LIN, GOOG, AMZN, BRK-B, LLY, and AAPL, with respective weights of LIN=10.84%, GOOG=12.61%, AMZN=24.67%, BRK-B=1.37%, LLY=34.17%, and AAPL=16.35%. Using Roy's Safety First Criterion for selected stocks from various sectors indicates that the resulting portfolio has a very low risk level, specifically 1%. This means that by using the portfolio obtained from the eleven stocks, investors can achieve minimal risk, making this portfolio secure for new investors.
Host Responses to Foreign Eggs across the Avian Visual Color Space

Despite extensive research on the sensory and cognitive processes of host rejection of avian brood parasites’ eggs, the underlying perceptual and cognitive mechanisms are not sufficiently understood. Historically, most studies of host egg discrimination assumed that hosts rejected a parasite’s egg from their nest based on the perceived color and pattern differences between the parasite’s egg and their own. A recent study used a continuous range of parasitic egg colors and discovered that hosts were more likely to reject browner foreign eggs than foreign eggs that were more blue green, even when their absolute perceived color differences from the hosts’ own egg colors were similar. However, the extent of these color biases across the avian perceivable color space remains unclear. Therefore, we built on this previous study by testing European blackbirds’ (Turdus merula) responses to model eggs spanning an unprecedented volume of the avian color space. We found that host decisions depended on avian perceived hue, saturation, and luminance of the parasite’s egg; hosts generally accepted eggs that were bluer or more blue green and more often rejected eggs that were less saturated or darker. We suggest that future studies investigate the underlying mechanisms of foreign egg discrimination in other host lineages to determine the prevalence and phylogenetic conservation of such perceptual biases among birds.
Hyperspectral Image Classification Using Tensor CP Decomposition

Image classification has been at the core of remote sensing applications. Optical remote sensing imaging systems naturally acquire images with spectral features corresponding to pixels. Spectral classification ignores the spatial distribution of the data which is becoming more relevant with the development of spatial resolution sensors, and many works aim to incorporate spatial features based on neighborhood through for example, Mathematical Morphology (MM). Additionally, one could stack multiple morphological transformations of the image resulting in a highly complex block of data. Since classification is a tool that requires a matrix of samples and features, and simply stacking the different sets of features can lead to the problem of high dimensionality, we propose a way to create a matrix of low dimensional feature space by modeling the data as tensors and thanks to Canonical Polyadic (CP) decomposition. Experiments on real image show the effectiveness of the proposed method.
Relationships among selfie-viewing on social media, thin-ideal internalization, and restrained eating in adolescents: The buffering role of media literacy

The aim of the present study was to test the relationship between selfie-viewing on social media and restrained eating as well as the mediating effect of thin-ideal internalization in this relationship. We also examined whether the links from selfie-viewing to thin-ideal internalization and restrained eating would be moderated by media literacy. Moreover, whether gender would moderate the mediation model was also examined. Results on a survey of 1,481 Chinese adolescents aged 12–⁠19 years showed that selfie-viewing had a positive relationship with restrained eating and that thin-ideal internalization mediated this relationship. Furthermore, the association between selfie-viewing and thin-ideal internalization was moderated by media literacy. Specifically, the relationship was weaker for adolescents with higher media literacy. In other words, media literacy alleviated the negative effect of selfie-viewing on body image. Moreover, there were no gender differences in the mediation model. These findings add to the literature on the relationship between social media use and restrained eating. Educational programs aiming to improve media literacy may be beneficial for reducing the risk of restrained eating among adolescents.
Contextual Biasing Methods for Improving Rare Word Detection in Automatic Speech Recognition

In specialized domains like Air Traffic Control (ATC), a notable challenge in porting a deployed Automatic Speech Recognition (ASR) system from one airport to another is the alteration in the set of crucial words that must be accurately detected in the new environment. Typically, such words have limited occurrences in training data, making it impractical to retrain the ASR system. This paper explores innovative word-boosting techniques to improve the detection rate of such rare words in the ASR hypotheses for the ATC domain. Two acoustic models are investigated: a hybrid CNN-TDNNF model trained from scratch and a pre-trained wav2vec2-based XLSR model fine-tuned on a common ATC dataset. The word boosting is done in three ways. First, an out-of-vocabulary word addition method is explored. Second, G-boosting is explored, which amends the language model before building the decoding graph. Third, the boosting is performed on the fly during decoding using lattice re-scoring. The results indicate that the G-boosting method performs best and provides an approximately 30-43% relative improvement in recall of the boosted words. Moreover, a relative improvement of up to 48% is obtained upon combining G-boosting and lattice-rescoring.
Estimation of cut-off points under complex-sampling design data

In the context of logistic regression models, a cut-off point is usually selected to di-chotomize the estimated predicted probabilities based on the model. The techniques proposed to estimate optimal cut-off points in the literature, are commonly developed to be applied in simple random samples and their applicability to complex sampling designs could be limited. Therefore, in this work we propose a methodology to incorporate sampling weights in the estimation process of the optimal cut-off points, and we evaluate its performance using a real data-based simulation study. The results suggest the convenience of considering sampling weights for estimating optimal cut-off points.
ASOSIASI FAKTOR SOSIODEMOGRAFIS, PENERIMAAN ORANG TUA, DAN WELAS DIRI DENGAN KESEJAHTERAAN SUBJEKTIF EMERGING ADULTS

Kesejahteraan subjektif penting untuk emerging adults sebab perasaan bahagia membuat mereka terbuka untuk mengeksplorasi pengalaman baru dalam hidupnya. Namun Indeks Kebahagiaan 2021 dari BPS menunjukkan bahwa Provinsi DKI Jakarta mengalami penurunan taraf kebahagiaan. Penelitian ini memiliki tujuan untuk menguji pengaruh penerimaan orang tua dan welas diri terhadap kesejahteraan subjektif pada emerging adults dan mengidentifikasi perbedaan setiap variabel berdasarkan sosiodemografi. Responden penelitian sebanyak 360 emerging adults yang berdomisili di Daerah Khusus Ibukota Jakarta dipilih dengan menggunakan teknik incidental sampling. Emerging adults cenderung merasa diterima oleh ayah dan ibu ketika kecil. Kesejahteraan subjektif dan welas diri emerging adults berada pada kategori sedang. Hasil uji independent T dan ANOVA menunjukkan bahwa terdapat perbedaan faktor sosiodemografis pada kesejahteraan subjektif emerging adults, yakni jenis kelamin, usia, dan status tempat tinggal. Lalu hasil analisis regresi linear sederhana menunjukkan terdapat pengaruh penerimaan ayah dan penerimaan ibu terhadap kesejahteraan subjektif. Welas diri juga menunjukkan pengaruh positif signifikan terhadap kesejahteraan subjektif dan berperan sebagai variabel prediktor. Temuan ini mengindikasikan pentingnya kehangatan dalam pengasuhan orang tua terhadap kesejahteraan subjektif anak saat menginjak usia dewasa. Selain itu Welas diri juga memiliki kontribusi yang penting terhadap kesejahteraan subjektif individu.
A new non-parasemionotiform order of the Halecomorphi (Neopterygii, Actinopterygii) from the Middle Triassic of Tethys

The halecomorph fish Panxianichthys imparilis, from the Pelsonian (Anisian, Middle Triassic) of Panxian County, Guizhou Province, South China, was recently described in brief. Here we present a thorough revision of this taxon based on 22 specimens, which allows a much better understanding of its anatomy and, consequently, its phylogenetic relationships. Newly recognized anatomical features include a flat quadratojugal, a symplectic articulating with the lower jaw ventral to the quadrate articulation, five infraorbitals, up to three suborbitals, and a large tail body lobe. Panxianichthys represents the oldest known non-parasemionotiform halecomorph and has a crescent-shaped preopercle and a maxillary branch of infraorbital sensory canal, but it is excluded from the ‘Ionoscopiformes–Amiiformes’ clade mainly by the presence of a quadratojugal, a dermosphenotic hinged to the side of the skull roof with a smooth innerorbital flange bearing no sensory canal, and a symplectic articulation much more ventral than that of the quadrate. A comparison with other Triassic non-parasemionotiform halecomorphs, together with the phylogenetic analysis, supports the erection of a new halecomorph order, Panxianichthyiformes, which is the sister group to the post-Triassic ‘Ionoscopiformes–Amiiformes’ clade. In addition, Robustichthys, also from the Anisian and previously ascribed to Ionoscopiformes, is recognized here as a new stem-group Ginglymodi. http://zoobank.org/urn:lsid:zoobank.org:pub:5594E962-985F-466D-AC52-2E9A5AC07787
FOR PRACTICE EVIDENCE FOR PERSON-CENTRED CARE IN CHRONIC WOUND CARE

Background Chronic wounds affect an estimated 2.21 per 1000 population. They are a significant source of morbidity and affect individuals physically, psychologically, socially and financially. Person-centered care is one approach to improve patient outcomes in wound care as it values patients’ perspectives, beliefs and autonomy and considers the person as a whole within the cultural context in which care is provided.
A Stacking Framework for Polygenic Risk Prediction in Admixed Individuals

Polygenic risk scores (PRS) are summaries of an individual's personalized genetic risk for a trait or disease. However, PRS often perform poorly for phenotype prediction when the ancestry of the target population does not match the population in which GWAS effect sizes were estimated. For many populations this can be addressed by performing GWAS in the target population. However, admixed individuals (whose genomes can be traced to multiple ancestral populations) lie on an ancestry continuum and are not easily represented as a discrete population. Here, we propose slaPRS (stacking local ancestry PRS), which incorporates multiple ancestry GWAS to alleviate the ancestry dependence of PRS in admixed samples. slaPRS uses ensemble learning (stacking) to combine local population specific PRS in regions across the genome. We compare slaPRS to single population PRS and a method that combines single population PRS globally. In simulations, slaPRS outperformed existing approaches and reduced the ancestry dependence of PRS in African Americans. In lipid traits from African British individuals (UK Biobank), slaPRS again improved on single population PRS while performing comparably to the globally combined PRS. slaPRS provides a data-driven and flexible framework to incorporate multiple population-specific GWAS and local ancestry in samples of admixed ancestry.