Miracle-dz/UniFAR-FTUs huggingface dataset:
The untapped potential of phage model systems as therapeutic agents

Abstract With the emergence of widespread antibiotic resistance, phages are an appealing alternative to antibiotics in the fight against multidrug-resistant bacteria. Over the past few years, many phages have been isolated from various environments to treat bacterial pathogens. While isolating novel phages for treatment has had some success for compassionate use, developing novel phages into a general therapeutic will require considerable time and financial resource investments. These investments may be less significant for well-established phage model systems. The knowledge acquired from decades of research on their structure, life cycle, and evolution ensures safe application and efficient handling. However, one major downside of the established phage model systems is their inability to infect pathogenic bacteria. This problem is not insurmountable; phage host range can be extended through genetic engineering or evolution experiments. In the future, breeding model phages to infect pathogens could provide a new avenue to develop phage therapeutic agents.
Visualising the relationships between synoptic circulation type and air quality in Sydney, a subtropical coastal‐basin environment

Ozone and particle pollution are of concern for the Sydney basin, in particular during warm months (November to March) when pollution levels can exceed national standards. Previous studies on the relationship between synoptic circulation and air quality focused on high pollution days or aggregated air quality conditions over the region as a whole. This study provides both temporal and spatial analyses of the synoptic processes affecting warm‐month ozone and particle pollution in Sydney. A warm‐month synoptic catalogue was developed by applying the self‐organising map method to the NCEP/NCAR geopotential height reanalysis for south‐east Australia. The catalogue was linked to mesoscale meteorological features such as drainage flows and sea breezes, and subsequently to the spatial variability in air quality across the Sydney basin. The typical synoptic types commonly associated with high or low ozone and PM10 levels, as well as variations in visibility, were identified. The results suggest that, due to Sydney's subtropical coastal‐basin environment, the interaction between meso‐ and synoptic‐scale features determine local air quality conditions in the region, rather than the synoptic conditions alone. Emissions from bushfires appear to have considerable impacts on the synoptic modulation to visibility and PM10 levels, with such impacts tending to be more at a local scale. In contrast, no comparable impacts were found for ozone pollution. For ozone and visibility, the probability for an exceedance day under some synoptic types varied considerably over time, implying that there might have been a shift in the role of synoptic modulation to local air quality associated with changes in air emissions profiles. This study provides a leap in our understanding of the relationship between synoptic circulation and air quality in a coastal‐basin environment. The results are useful for improving air quality forecasting in Sydney, with the methodology developed readily applicable to similar regions elsewhere.
The Ontogenetic Osteohistology of the Eureptile Captorhinus aguti (Reptilia: Captorhinidae) and the Community Histology of the Early Permian Fissure-Fill Fauna Dolese Quarry, Richards Spur, Oklahoma

Palaeohistological research has greatly enhanced our ability to draw conclusions about the physiology and growth of extinct vertebrates. A comprehensive histological growth study has never been undertaken in an Early Permian taxon at the initial stages of terrestrial vertebrate evolution. Captorhinus aguti, a common Early Permian eureptile from the fissure-fill locality near Richards Spur, Oklahoma, is the ideal taxon for a study of this type. C. aguti femora from all growth stages were measured and sectioned to compare bone structure through ontogeny. Representatives of other major taxa from the Richards Spur locality were also sectioned to compare histology across the palaeocommunity. Long bones of all sectioned Richards Spur taxa, including all growth stages of C. aguti, display slow growing parallel-fibered lamellar bone with poor vascularization. Captorhinids were the only taxon from this locality that lacked growth lines, implying that they were employing a different growth strategy from the other taxa that were preserved at this locality.
Alluvial fan sedimentation and structure of the southern Molasse Basin margin, Lake Thun area, Switzerland

The Chattian Lower Freshwater Molasse (USM) of the Thun area comprises a thick series of continental sediments which occur in three imbricate thrust sheets (Steffisburg, Zulg-Hombach, Blueme) of the Subalpine Molasse and over wide areas of the autochthonous Plateau Molasse. Facies analysis of outcrops, complemented by conglomerate clast counts, sandstone petrography, heavy mineral analysis and data from two deep exploration wells and seismics permit structural restoration of the thrust sheets, correlation of subalpine and autochthonous USM and consequently the reconstruction of the geometry and facies evolution of the alluvial fan systems. The most complete succession measuring more than 4500 m is preserved in the structurally highest Blueme thrust sheet
MicroRNAs expressed from FSHR and aromatase genes target important ovarian functions

MicroRNAs (miRNAs) have known roles in the post-transcriptional regulation of various biological processes including ovarian follicle development. We have previously identified miRNAs from human pre-ovulatory granulosa cells that are expressed from the intronic regions of two key genes in normal follicular development: FSH receptor (FSHR) and CYP19A1, the latter encoding the aromatase enzyme. In the present study, we aim to identify the targets regulated by those two miRNAs: hsa-miR-548ba and hsa-miR-7973, respectively. The miRNAs of interest were endogenously expressed in KGN cell-line, gene expression changes were analyzed by Affymetrix microarray and confirmed by RT-qPCR. Potential miRNA-regulated sequences were further filtered from the obtained results by bioinformatic target prediction algorithms and validated for direct miRNA:mRNA binding by luciferase reporter assay. Our results verified Leukemia inhibitory factor receptor (LIFR), Phosphatase and tensin homolog (PTEN), Neogenin 1 (NEO1) and SP110 nuclear body protein (SP110) as target genes for hsa-miR-548ba. Hsa-miR-7973 target genes ADAM metallopeptidase domain 19 (ADAM19), Peroxidasin (PXDN) and Formin like 3 (FMNL3) also passed all verification steps. In conclusion we propose that hsa-miR-548ba may be involved in the regulation of follicle growth and activation via LIFR and PTEN. Hsa-miR-7973 may be implicated in the modulation of extracellular matrix and cell-cell interactions. Taken together, our results suggest that those two miRNAs of interest have important regulatory roles in granulosa cells and in follicle development in general. Summary sentence Confirmed targets of miRNAs hsa-miR-548ba and hsa-miR-7973 are involved in follicle recruitment, apoptosis, intercellular interactions and extracellular matrix remodeling pathways in KGN cells.
EphA2- and HDAC-Targeted Combination Therapy in Endometrial Cancer

Endometrial cancer is the most frequent malignant tumor of the female reproductive tract but lacks effective therapy. EphA2, a receptor tyrosine kinase, is overexpressed by various cancers including endometrial cancer and is associated with poor clinical outcomes. In preclinical models, EphA2-targeted drugs had modest efficacy. To discover potential synergistic partners for EphA2-targeted drugs, we performed a high-throughput drug screen and identified panobinostat, a histone deacetylase inhibitor, as a candidate. We hypothesized that combination therapy with an EphA2 inhibitor and panobinostat leads to synergistic cell death. Indeed, we found that the combination enhanced DNA damage, increased apoptosis, and decreased clonogenic survival in Ishikawa and Hec1A endometrial cancer cells and significantly reduced tumor burden in mouse models of endometrial carcinoma. Upon RNA sequencing, the combination was associated with downregulation of cell survival pathways, including senescence, cyclins, and cell cycle regulators. The Axl-PI3K-Akt-mTOR pathway was also decreased by combination therapy. Together, our results highlight EphA2 and histone deacetylase as promising therapeutic targets for endometrial cancer.
Protecting SiC JFET From Gate Overstress in GaN/SiC Cascode Device Without Compromising Switching Performance

The GaN/SiC cascode device featuring a low-voltage (LV) enhancement-mode (E-mode) GaN high-electron-mobility transistors (HEMT) and a high-voltage (HV) SiC JFET has the unique capability of delivering thermally stable threshold voltage, avalanche capability, zero reverse recovery charge (Qrr), and fast switching speed simultaneously. However, the lack of avalanche capability in the LV GaN HEMT presents a challenging issue, namely the negative gate overstress of the HV SiC JFET during the switching process, which raises reliability concerns. A clamping unit based on a Si Zener diode can provide gate protection for JFET but inevitably increases the switching loss significantly due to the reverse-recovery process of the Si Zener diode. This article presents a new gate protection design based on a Si bi-directional Zener diode that can clamp the gate voltage of JFET without introducing the reverse-recovery process. Therefore, the gate of JFET can be protected while the switching performance of the cascode device is not compromised, as verified by the experiment results.
Regulating Microstructure and Macroscopic Properties in Saturated Salt Solutions Containing Disordered Anions and Cations by Magnetic Field

Saturated aqueous salt solutions have diverse applications in food production, mineral processing, pharmaceuticals, and environmental monitoring. However, the random and disordered arrangement of ions in these solutions poses limitations across different fields. In this study, we employ magnetic fields to regulate the disordered arrangement by a comprehensive methodology combining contact angle measurement, Raman spectroscopy, X-ray diffraction, and molecular dynamics simulations on saturated KCl solutions. Our findings reveal that weak magnetic fields impede the formation of K-Cl contact pairs and disrupt hydrogen bond networks, particularly DDAA and free OH types. However, they facilitate the interaction between water molecules and ions, leading to an increase in the number of K-O and Cl-H contact pairs, along with an expansion in ion hydration radius. These changes affect macroscopic properties, including the interaction with solid substrates and potential solubility increases. Our experimental and simulation results mutually validate each other, contributing to a theoretical framework for studying magnetic field–material interactions.
Experimental Models to Study the Pathogenesis and Treatment of Mucormycosis

Mucormycosis presents a formidable challenge to clinicians and researchers. Animal models are an essential part of the effort to decipher the pathogenesis of mucormycosis and to develop novel pharmacotherapeutics against it. Diverse model systems have been established, using a range of animal hosts, immune and metabolic perturbations, and infection routes. An understanding of the characteristics, strengths, and drawbacks of these models is needed to optimize their use for specific research aims.
A Robust Forecasting Framework for Multi-Series Cash Flow Prediction

Cash flow forecasting is crucial for decision making in micro-economics and macro-economics activities. Typically, cash flow series show high volatility, high diversity, and complex seasonality. Moreover, series are generally not sampled frequently enough to have sufficient training data for the powerful deep models. To overcome the above challenges, we propose a robust forecasting framework which firstly regulates series with outlier smoothing and a linear seasonal adjustment model, then uses an ensemble technique to exploit advantages of both statistical and deep time series models. To solve the data scarcity problem in training deep models, we propose a cross learning approach which train a single model using data from multiple series. We validate the proposed framework in a real dataset. Experiments demonstrated that the proposed forecasting framework leaded to superior performance than state-of-the-art models.
Circularly Polarized S-Shaped Patch Antenna for WLAN and WiMAX Application

In this article, a simple structure having an S-shaped patch with a dual-band circular polarization is proposed. The substrate of the designed antenna is made up of FR4 epoxy material which covers an area of size $52\times 55$ mm2 having a substrate thickness of 1.5 mm. The designed antenna operates in both WLAN and WiMAX ranges. The circular polarization (CP) characteristic for WiMAX is achieved by placing a U-shaped patch which is rotated by 45° and then to achieve circular polarization for the WLAN range, an inverted L-shaped patch is attached to the U-shaped patch which will operate at 3.5 GHz and 5.8 GHz frequency range respectively. For bandwidth enhancement, the ground plane is etched by more than half of the size of the original ground. For the impedance matching purpose, a feed line having $50\Omega$ is used along with the help of a transformer. The antenna has an impedance bandwidth that covers a frequency range of 3.1 to 4.4 GHz (34.67%), as well as 5 to 6.3 GHz (23%). The axial ratio having a 3 dB bandwidth ranges from 3.2 to 4.3 GHz (29.34%), and 5.2 to 6.2 GHz (17.55%), which is within the impedance bandwidth range. Hence, the antenna behaves circularly polarized.
Millimeter-Wave GaAs Ultra-Wideband Medium Power Amplifier and Broadband High-Power Power Amplifier for 5G/6G Applications

This paper presents an ultra-wideband (UWB) medium power amplifier (MPA) and a broadband high-power power amplifier (HPA) operating at the 5G/6G frequency bands. By using <inline-formula> <tex-math notation="LaTeX">$0.15~\mu \text{m}$ </tex-math></inline-formula> GaAs pseudomorphic high electron mobility transistor (pHEMT) technology process, the proposed UWB MPA delivers an average small-signal gain of 16.5 dB, a saturation output power (<inline-formula> <tex-math notation="LaTeX">$\text{P}_{\mathrm {sat}}$ </tex-math></inline-formula>) of 24 dBm, and a peak power-added efficiency (PAE) over 24% from 24 to 38 GHz with a chip area of <inline-formula> <tex-math notation="LaTeX">$2\times1$ </tex-math></inline-formula> mm2. The broadband HPA demonstrates a 17-dB average small-signal gain, 29-dBm <inline-formula> <tex-math notation="LaTeX">$\text{P}_{\mathrm {sat}}$ </tex-math></inline-formula>, and a PAE over 28% from 24 to 32 GHz with a <inline-formula> <tex-math notation="LaTeX">$2.4\times1.1$ </tex-math></inline-formula> mm2 chip size. The measurement results have demonstrated the great potential of the proposed PA for 5G/6G millimeter-wave applications.
A Novel Artificial-Intelligence-Based Approach for Automatic Assessment of Retinal Disease Images Using Multi-View Deep-Broad Learning Network

Retinal disease detection and diagnosis relying solely on artificial retinal diseases will put great pressure on doctors and increase the rate of misdiagnosis. Therefore, the development of computer vision technology has brought the possibility for ophthalmologists to use computer-aided diagnosis. In recent years, most models for retinal disease recognition have been based on deep learning, which has the disadvantage of requiring large amounts of data and training time. It is also partly based on broad learning and its disadvantages are that feature extraction ability is limited and poor scalability. To overcome these limitations, we propose a novel artificial intelligence-based approach for the automatic assessment of retinal disease images called a multi-view deep-broad learning network (MDBL-Net), which absorbs the advantages of deep learning and broad learning. MDBL-Net comprises a Multi-view and Multi-scale Feature Extraction (MMFE) module and a Multi-scale Aggregation (MA) block. The MMFE module extracts features of different scales by learning feature representations from multiple views, while the MA block fully aggregates multi-scale deep-broad features from low-level to high-level representations. Experiments were conducted on two public datasets, UCSD and OCT2017. Experiments were conducted on two public datasets, UCSD and OCT2017, and results demonstrate that MDBL-Net achieves high accuracy even with limited training data (only 1%) and significantly reduces training time compared to traditional deep learning models. Specifically, MDBL-Net achieved an accuracy of 96.93% on the UCSD dataset and 99.90% on the OCT2017 dataset, outperforming state-of-the-art models in both cases. These findings suggest that the proposed MDBL-Net approach holds great promise for the task of retinal disease screening and recognition.
Exploring the potential of occupancy modelling using passive acoustics in Coua gigas and Coua coquereli

In highly threatened habitats such as the dry deciduous forests of western Madagascar, it is essential to develop new approaches to detect population changes and evaluate conservation measures. Passive acoustic monitoring (PAM) is such a promising approach. This method has many advantages over conventional methods, such as time efficiency, money savings, and reduced wildlife disturbance. It is especially suitable for studying occupancy and activity patterns of vocalizing species such as birds. Our study analyzed data recorded with autonomous sound recorders in 2018 in Kirindy Forest for the territorial calls of Coua gigas and Coua coquereli. We modeled occupancy and detection probability for both species in the study area. We also examined activity patterns and found that the peak of vocal activity for Coua coquereli is at 700h and for Coua gigas at 1100h. To also test the value of PAM in relation to ecological factors we modeled occupancy and included logging status as a site covariate. We detected a positive influence of logging in occupancy of Coua gigas. Our study provides guidelines for future occupancy studies using PAM in the two coua species. We conclude that PAM will improve the ecological monitoring of soniferous animals in Madagascar.
Fourteen-day E-Cigarette Exposure Disrupts Ventilation Patterns and Serum IL-1B Levels in Adolescent Rats

E-cigarettes are devices used to deliver vaporized liquids often containing nicotine and other chemicals. The purpose of this study was to investigate the effects of 14 days of e-cigarette vapor exposure in adolescent rats on lung function and inflammatory cytokine expression. Seventeen male long-evans rats were assigned to vape or air groups. The animals were exposed to either air or 5% nicotine vapor using a whole-body exposure chamber, once a day for ten minutes for fourteen consecutive days. Ventilation recordings were completed on day 0 (before exposure) and day 15 (after exposure) using unrestrained whole-body plethysmography. Both lung tissue and blood was collected for molecular assays. Baseline and post-exposure ventilation data were compared between air and vape groups across three different parameters: frequency, tidal volume, and minute ventilation. These parameters were compared resulting in three distinct 2x2 (time x treatment) Mixed Model ANOVAs. Between baseline and post-treatment measurements there was a significant decrease in values in minute ventilation (p=0.0312) and tidal volume (p=0.0031). Between treatment groups there was a significant difference in minute ventilation (p=0.0128) and frequency (p=0042). There were also significant alterations to the presence of IL-1B in the serum (p=0.0003), but not lung tissue (p=0.6525). In conclusion, following two weeks of e-cigarette vapor exposure, ventilation patterns were altered in the vapor exposed animals which decreased in tidal volume and minute ventilation suggesting possible impairment of lung function and e-cigarette exposure modified the expression of pro-inflammatory cytokine, IL-1B.
Near-Field Radio Sensing for Biomedical, Biological, and Cyberphysical Intelligence

Near-field radio sensors can be implemented both as wearables for continuous monitoring and as furnishing attachments for covert operation, without requiring skin touch, enabling convenient deployment and high user comfort. The sensor can output cardiac and respiratory waveforms, systemic pulses, muscle contraction, eye movement, and tissue vibration for various biomedical, biological, and cyberphysical applications. The radio signal can go through layers of fabrics or animal surface coverings with little loss or dispersion to couple directly inside the living body. We will illustrate the theory, design variations, and verified results, and discuss present limitations and outlooks for technology adoption in practical scenarios.
‘Well, what are you going to do when you’re out there?’: a scoping review of successful hospital discharge for people with acquired disability and complex needs aged 18–65 years

Background. Young adults with acquired disability and complex support needs often experience significant delays to hospital discharge, resulting in high costs for hospital systems and poor outcomes for people with acquired disability. A scoping review was completed to explore the components of successful hospital discharge for people with acquired disability and complex support needs aged 18–65 years. Methods. A systematic search of five databases was completed to identify studies that reported on hospital discharge outcomes for young people with acquired disability and complex support needs. Results. Many experiences of hospital discharge were characterised by delays, unmet needs and poor implementation of supports that align with an individual’s needs and preferences. Components of a successful discharge included coordination and continuity of care from admission through to discharge and transition back to the community; the involvement of people with acquired disability and close others in discharge planning; and sufficient preparation for discharge, such as arranging timely and appropriate housing and community supports. Each of these individual components of discharge was influenced by the quality of communication between stakeholders throughout the discharge trajectory. Conclusion. Improving coordination of care, early initiation of applications for funding and supports and involvement of people with acquired disability and close others may enhance positive outcomes of hospital discharges for people with complex needs.
Numerical Study for MHD Flow of an Oldroyd-B Fluid Over a Stretching Sheet in the Presence of Thermal Radiation with Soret and Dufour Effects

This paper investigates the impact of Soret and Dufour's MHD flow of an Oldroyd-B fluid over a stretching sheet in the presence of thermal radiation. By a similarity transformation, the controlling partial differential equations are transformed into a system of nonlinear ordinary differential equations. Using the successive linearization method (SLM), the linear system is solved. A determination and discussion of the impacts of specific fluid parameters on the temperature, concentration distribution, and velocity are presented. As the magnetic field increases, we observe that the temperature and concentration profiles rise, while the velocity profile falls. In addition, increases in the Dufour and Soret levels will also result in an improvement in the temperature and concentration distribution. The validity of the acquired results is tested by comparing them to previously published works, with particular attention paid to the accuracy and convergence of the solution.