Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable Production of Extracellular Vesicles and Its Therapeutic Values: A Review

Extracellular vesicles (EVs) are minute vesicles with lipid bilayer membranes. EVs are secreted by cells for intercellular communication. Recently, EVs have received much attention, as they are rich in biological components such as nucleic acids, lipids, and proteins that play essential roles in tissue regeneration and disease modification. In addition, EVs can be developed as vaccines against cancer and infectious diseases, as the vesicle membrane has an abundance of antigenic determinants and virulent factors. EVs for therapeutic applications are typically collected from conditioned media of cultured cells. However, the number of EVs secreted by the cells is limited. Thus, it is critical to devise new strategies for the large-scale production of EVs. Here, we discussed the strategies utilized by researchers for the scalable production of EVs. Techniques such as bioreactors, mechanical stimulation, electrical stimulation, thermal stimulation, magnetic field stimulation, topographic clue, hypoxia, serum deprivation, pH modification, exposure to small molecules, exposure to nanoparticles, increasing the intracellular calcium concentration, and genetic modification have been used to improve the secretion of EVs by cultured cells. In addition, nitrogen cavitation, porous membrane extrusion, and sonication have been utilized to prepare EV-mimetic nanovesicles that share many characteristics with naturally secreted EVs. Apart from inducing EV production, these upscaling interventions have also been reported to modify the EVs’ cargo and thus their functionality and therapeutic potential. In summary, it is imperative to identify a reliable upscaling technique that can produce large quantities of EVs consistently. Ideally, the produced EVs should also possess cargo with improved therapeutic potential.
Evaluation of Nanosheet and Forksheet Width Modulation for Digital IC Design in the Sub-3-nm Era

In this article, we provide a comprehensive evaluation of width modulation capabilities of both nanosheet (NS) and forksheet (FS) devices, going from device level to a block level implementation. The main innovation introduced by the FS consists of a dielectric wall added between the p- and nMOS transistors. Leveraging this feature, FS shows approximately the same current behavior as NS, considered a state-of-the-art reference, but reduced parasitic capacitance thanks to its fewer but wider stacked sheets. At block level, an area reduction up to 12% is observed with FS, alongside a 13% power reduction and 10% frequency increase. Following the device comparison, the potential of sheet width modulation as additional power, performance, and area (PPA) optimization technique during synthesis and place and route (PNR) is investigated. A description of the specific steps required to enable this knob in a conventional electronic design automation (EDA) framework is provided. As demonstrated by the obtained experimental results, the same frequency of the single-width implementation can be achieved using mixed libraries with lower power consumption (13% and 16% for NS and FS, respectively), leading to improved energy efficiency. Furthermore, it is shown how designs implemented using FS benefit more from this type of optimization than the ones using NS, with a 12%–15% energy reduction compared to the 8.5%–14% obtained with NS.
Influence of Diet and Lifestyle on the Development of Gestational Diabetes Mellitus and on Perinatal Results

GDM is a multifactorial disease, so there is controversy regarding the mechanisms involved in its pathogenesis. We speculate whether lifestyle and eating habits influenced the appearance and pathogenesis of GDM. To explore this issue, the aim of the present study was to analyze maternal diet and lifestyle characteristics in early pregnancy and their influence on the development of GDM. The study included 103 pregnant women who completed a questionnaire on nutritional knowledge, lifestyle and eating habits. Perinatal and biochemical outcomes as well as pregestational lifestyle and eating habits were compared between normoglycemic women and those who developed GDM. The results obtained showed that women who developed GDM had erroneous knowledge regarding nutrition. Consumption of white bread (p = 0.018), added sugars (p = 0.037), legumes (p = 0.025), fish (p = 0.014), butter (p = 0.010) and the performance of less physical activity (p = 0.024) correlated with glucose intolerance in pregnant women. In conclusion, we found a relationship between dietary and lifestyle habits at the beginning of pregnancy and the later diagnosis of GDM.
Geomorphological and Structural Assessment of the Coastal Area of Capo Faro Promontory, NE Salina (Aeolian Islands, Italy)

Capo Faro Promontory, located in Salina (Aeolian Islands, southern Italy), is a popular summer destination due to its volcanic morphologies, seaside, and enogastronomy. A flat area, right behind the scarp edge of a coastal cliff, hosts the Capo Faro Estate, one of the most renowned vineyards and residences on Salina Island. The promontory has been characterised in terms of geomorphological features. Remote sensing analysis, after nadir and off–nadir UAV flights, supports the field activities to explore the hazard to which the area is subjected. In particular, the coastal cliff turns out to be affected by a rapid retreat inducing landslides. Therefore, the cliff area has been investigated through a detailed stratigraphic and structural field survey. Using the generated high–resolution Digital Elevation Model, bathymetric–topographic profiles were extracted along the coastline facing the cliff. The thickness of volcanic deposits was evaluated to obtain a geological model of it. The main rock mass discontinuities have been characterised to define the structural features affecting the stability of the rock wall. The obtained results prove the contribution of such research fundamental in planning risk mitigation measures.
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects

Data augmentation is an established technique in computer vision to foster the generalization of training and to deal with low data volume. Most data augmentation and computer vision research are focused on everyday images such as traffic data. The application of computer vision techniques in domains like marine sciences has shown to be not that straightforward in the past due to special characteristics, such as very low data volume and class imbalance, because of costly manual annotation by human domain experts, and general low species abundances. However, the data volume acquired today with moving platforms to collect large image collections from remote marine habitats, like the deep benthos, for marine biodiversity assessment and monitoring makes the use of computer vision automatic detection and classification inevitable. In this work, we investigate the effect of data augmentation in the context of taxonomic classification in underwater, i.e., benthic images. First, we show that established data augmentation methods (i.e., geometric and photometric transformations) perform differently in marine image collections compared to established image collections like the Cityscapes dataset, showing everyday traffic images. Some of the methods even decrease the learning performance when applied to marine image collections. Second, we propose new data augmentation combination policies motivated by our observations and compare their effect to those proposed by the AutoAugment algorithm and can show that the proposed augmentation policy outperforms the AutoAugment results for marine image collections. We conclude that in the case of small marine image datasets, background knowledge, and heuristics should sometimes be applied to design an effective data augmentation method.
Changes in the Incidence of Cardiovascular Diseases during the COVID-19 Pandemic in Korea

There is scarcity in the evidence addressing the indirect impact of the COVID-19 pandemic on the epidemiology of CVDs. In this study we aimed to examine possible changes in the incidence of CVDs in Korea during the COVID-19 pandemic. ICD-10 codes of six common CVDs (cerebral hemorrhage, cerebral infarction, myocardial infarction, ischemic heart disease, cardiac failure, and arrhythmia) were collected from clinical visits between January 2018 and March 2021 using the National Health Insurance service database, which stores data on all citizens of Korea (~50 million people). The number and distribution of monthly visits for CVDs were compared before and during the COVID-19 pandemic, and the differences were analyzed using the Mann–Whitney U test and Levene’s test. Our data showed similar incidences of cerebral hemorrhage and ischemic heart disease, a lower incidence of cerebral infarction, and higher incidences of myocardial infarction, cardiac failure, and arrhythmia during COVID-19. Despite statistical differences, the changes in incidences were not considered meaningful. The monthly incidences also remained similar throughout the year, without seasonal variations, both before and during the COVID-19 outbreak. This study found no significant changes in the incidences or monthly variation in CVDs due to the COVID-19 pandemic in Korea.
The Effect of Using Ethanol-Gasoline Blends on the Mechanical, Energy and Environmental Performance of In-Use Vehicles

The use of ethanol in gasoline has become a worldwide tendency as an alternative to reduce net CO2 emissions to the atmosphere, increasing gasoline octane rating and reducing dependence on petroleum products. However, recently environmental authorities in large urban centers have expressed their concerns on the true effect of using ethanol blends of up to 20% v/v in in-use vehicles without any modification in the setup of the engine control unit (ECU), and on the variations of these effects along the years of operation of these vehicles. Their main concern is the potential increase in the emissions of volatile organic compounds with high ozone formation potential. To address these concerns, we developed analytical and experimental work testing engines under steady-conditions. We also tested carbureted and fuel-injected vehicles every 10,000 km during their first 100,000 km of operation. We measured the effect of using ethanol-gasoline blends on the power and torque generated, the fuel consumption and CO2, CO, NOx and unburned hydrocarbon emissions, including volatile organic compounds (VOCs) such as acetaldehyde, formaldehyde, benzene and 1,3-butadiene which are considered important ozone precursors. The obtained results showed statistically no significant differences in these variables when vehicles operate with a blend of 20% v/v ethanol and 80% v/v gasoline (E20) instead of gasoline. Those results remained unchanged during the first 100,000 km of operation of the vehicles. We also observed that when the vehicles operated with E20 at high engine loads, they showed a tendency to operate with greater values of λ (ratio of the actual air-fuel ratio to the stoichiometric air-fuel ratio) when compared to their operation with gasoline. According to the Eco-Indicator-99, these results represent a minor reduction (<1.3%) on the impact to human health, and on the deterioration of the ecosystem. However, it implies a 12.9% deterioration of the natural resources. Thermal equilibrium analysis, at the tailpipe conditions (~100 °C), showed that ethane, formaldehyde, ethylene and ethanol are the most relevant VOCs in terms of the amount of mass emitted. The use of ethanol in the gasoline reduced 20–40% of those emissions. These reductions implied an average reduction of 17% in the ozone formation potential.
Fire Impact on Carbon Pools and Basic Properties of Retisols in Native Spruce Forests of the European North and Central Siberia of Russia

Fires play an important role in the modern dynamics of boreal ecosystems. The article presents the results of studying the effect of old fires on soils and soil organic matter (SOM) of native spruce forests that were last affected by fires in the previous 100 to 200 years. The studies were carried out in the European north-east of Russia (Komi Republic) and Central Siberia (Krasnoyarsk region). The objects of the study were typical Glossic Stagnic Retisol (Siltic, Cutanic). The time after the fire was determined by dendrochronological methods. Data on the content of water-soluble organic matter and densimetric fractions of soils were obtained; carbon and nitrogen stocks were calculated. The content of polycyclic aromatic hydrocarbons (PAHs) was established to characterize the effect of fires. Pyrogenic carbonaceous inclusions were morphologically diagnosed 200 years after the fire. In this regard, it is proposed to distinguish a “pyrogenic” subtype for soils with pronounced signs of pyrogenesis. Carbon stocks in soils of the Komi Republic varied from 5.7 to 15.7 kg C m−2, and soils of the Krasnoyarsk region had an accumulation of 6.9–12.5 kg C m−2. The contribution of the pyrogenic horizon Epyr to the total carbon and nitrogen stocks was 9–45%. It is suggested that pyrogenic carbon (PyC) can accumulate in light densimetric fractions (fPOM<1.6 and oPOM<1.6). The analysis of PAH content showed their high concentrations in the organic and upper mineral horizons of the studied soils (24 to 605 ng g−1). The coefficient FLA (fluoranthene)/(FLA+PYR(pyrene)) was the most useful to diagnose the pyrogenic origin of PAHs in the studied Retisols.
Experimental Demonstration of OAM Spatial Field Digital Modulation Communication System

Spatial field digital modulation (SFDM) is a newly proposed technique, which directly modulates information in the spatial distribution of the electromagnetic (EM) field. In this letter, we propose an orbital angular momentum (OAM) based SFDM system. Furthermore, a demodulation method called the spatial matched filtering criterion is developed. The introduction of the spatial matched filter simplifies the architecture of the receiver and makes the practical system implement more viable. An experimental testbed is then built to measure the state isolation and the corresponding bit error rate (BER) performance of the OAM-SFDM system. We realize the SFDM signal transmission at a communication distance of 1.5 m with a practical analog-demodulation OAM-SFDM system. The results of the numerical simulations and the experimental measurements both verify the validity of this demodulation method. Moreover, it has been confirmed that the predictable phase information brought about by OAM waves plays a prominent role in the demodulation process.
Cutting the Bunk: Comparing the Solo and Aggregate Effects of Prebunking and Debunking Covid-19 Vaccine Misinformation

An online experiment among a nationally representative YouGov sample of unvaccinated U.S. adults (N = 540) leverages inoculation theory as a preliminary step in uniting the prebunking and debunking literature. By testing how prior attitudes toward Covid-19 vaccines interact with varying message interventions, the study finds that specific inoculation messages protect against misinformation, but only among those with preexisting healthy attitudes. Generic inoculation messages have wider application, offering both prophylactic and therapeutic benefits. However, the therapeutic benefits of generic inoculations disappear when debunking messages are present. Nonetheless, generic inoculations do not appear to have detrimental effects on those infected with unhealthy attitudes, unlike specific inoculation messages. Whether the messages are truly a form of inoculation by generating threat merits further research.
A novel approach to imaging using a dual field-of-view sensor

Most modern aircraft, such as missile systems and unmanned aerial vehicles have limited size, weight, power and cost (SWaP-C) capability. As the defence budget for military forces such as the UK and US continue to shrink, the emphasis on SWaP-C continues to strengthen. Military forces require smart weapons capable of precision strike, with a priority on safety. System manufacturers understand these requirements and limitations, and in response, develop miniaturised systems and components and also aim to consolidate these, into a single miniaturised solution. The growth of remotely operated aircraft, offers an ever present need for better, cheaper imaging systems. In general, sensors and seekers tend to be the biggest contribution to the cost and weight of an aircraft. Often, multiple imaging systems are needed dependent on the operational requirements. In this thesis, a novel dual field-of-view imaging system/seeker is proposed, which uses a single imaging sensor to superimpose both a wide field-of-view and a narrow field-of-view image of the same scene, co-boresighted. This allows multiple operational requirements to function simultaneously. The wide field-of-view allows for continuous monitoring and surveillance of an area, whilst the narrow field-of-view enables target detection, identification and tracking capabilities. Secondly, this thesis proposes a novel image separation technique to facilitate the separation of the superimposed imagery, using only the geometric relationship between the two different field-of-views. The separation technique is then extended to operate over sequential frames (i.e. video), and to function with fixed cameras that exhibit (un)desired camera motions, such as vibrations or "jitter". The image quality of the separation technique is broadly analysed over a range of images with varying image characteristics and properties. A novel image quality metric (IQM) was also proposed in this thesis, and was used to analyse the image quality of the recovered images, and its performance compared to already available IQMs. Finally, the separation technique is enhanced to operate with motion cameras, which exhibit motions such as pan, tilt, zoom and rotate etc. The separation technique, in most cases, was found to provide image recovery, comparable to current image enhancement techniques, and moreover, found to be far more robust to errors in registration, compared to current techniques. Initial hardware designs for the dual field-of-view imaging system, designed in conjunction with Prof. Andy Harvey from the University of Glasgow and Dr. James Babbington from Qioptiq Ltd., a lens design and manufacturing company, has also been presented.
Cysteamine-Gold Coated Carboxylated Fluorescent Nanoparticle Mediated Point-of-Care Dual-Modality Detection of the H5N1 Pathogenic Virus

Globally, point-of-care testing (POCT) is the most preferable on-site technique for disease detection and includes a rapid diagnostic test (RDT) and fluorescent immunochromatographic strip test (FICT). The testing kits are generally insufficient in terms of signal enhancement, which is a major drawback of this approach. Sensitive and timely on-site POCT methods with high signal enhancement are therefore essential for the accurate diagnosis of infectious diseases. Herein, we prepare cysteamine-gold coated carboxylated europium chelated nanoparticle (Cys Au-EuNPs)-mediated POCT for the detection of the H5N1 avian influenza virus (AIV). Commercial nanoparticles were used for comparison. The spectral characteristics, surface morphologies, functional groups, surface charge and stability of the Cys AuNPs, EuNPs, and Cys Au-EuNPs were confirmed by UV-visible spectrophotometry, fluorescence spectrometry, transmission electron microscope with Selected area electron diffraction (TEM-SAED), Fourier-transform infrared spectroscopy (FTIR) and zeta potential analysis. The particle size distribution revealed an average size of ~130 ± 0.66 nm for the Cys Au-EuNPs. The Cys Au-EuNP-mediated RDT (colorimetric analysis) and FICT kit revealed a limit of detection (LOD) of 10 HAU/mL and 2.5 HAU/mL, respectively, for H5N1 under different titer conditions. The obtained LOD is eight-fold that of commercial nanoparticle conjugates. The photo luminance (PL) stability of ~3% the Cys Au-EuNPs conjugates that was obtained under UV light irradiation differs considerably from that of the commercial nanoparticle conjugates. Overall, the developed Cys Au-EuNPs-mediated dual-mode POCT kit can be used as an effective nanocomposite for the development of on-site monitoring systems for infectious disease surveillance.
Design of Predistortion Linearizer for GaN Power Amplifier

A linearizer using analog pre-distortion is proposed in this paper to improve the non-linear distortion of GaN power amplifier at 29GHz~31GHz. It is improved on the basis of traditional predistorter and composed of two parallel Schottky diodes using open loop method. It can generate the distorted signals which are on different degree of improvement through changing the offset state of the diode. The initial value can be gained by using the ADS2013 which is a specialized electromagnetic simulation software. Then the value gained provides the theoretical basis for physical object debug. The physical object tests show that the linearizer can provide 6.4dB gain expansion and 28° phase expansion at 30GHz.
High Efficient GDI-CNTFET-Based Approximate Full Adder for Next Generation of Computer Architectures

Approximate computing (AC) is an emerging technique in arithmetic circuits. In this letter, a new AC-based full adder (FA) circuit is presented with 12 transistors, 150mm]Please confirm or add details for any funding or financial support for the research of this article. -160mm]If you haven’t done so already, please make sure you have submitted a video graphical abstract (GA) for your paper, along with a caption and overlay image. The GA will be displayed on your articles abstract page on IEEE Xplore. Note that captions cannot exceed 1800 characters (including spaces). Overlay images are usually a screenshot of your video that best represents the video. This is for readers who may not have access to video-viewing software. 0.239 $\mu \text{m}^{2}$ of area, and two errors in the outputs. In the proposed FA, the gate diffusion input (GDI) and dynamic-threshold (DT) techniques are applied using the carbon nanotube field-effect transistor (CNTFET) technology. Accuracy metrics, such as normalized mean error distance (NMED) and mean relative error distance (MRED) along with circuitry parameters of power-delay-product (PDP), energy-delay-product (EDP), and power-delay-area-product (PDAP), confirm the efficiency of the proposed FA for complex structures. The proposed FA is embedded in a ripple carry adder (RCA) by various numbers of approximate bits (NABs), and then the accuracy and circuitry parameters are extracted. Compared to the state-of-the-art designs, the high-efficient behavior of the proposed FA is proved when it is used in image processing applications.
Three Frequency-limited Balanced Truncation Algorithms: A Comparison and Three Families of Extensions

In frequency-limited model order reduction, a lower-order approximate model of the high-order model is sought such that it closely approximates the original system within the specified frequency interval. In this paper, three frequency-limited balanced truncation algorithms are qualitatively and quantitatively compared. The pros and cons of each algorithm are discussed. Further, it is noted that these three algorithms can be effortlessly generalized to obtain three families of frequency-limited model order reduction algorithms with interesting properties like stability preservation and availability of apriori error bound expression.