Miracle-dz/UniFAR-FTUs huggingface dataset:
The evolution and preservation potential of englacial eskers: An example from Breiðamerkurjökull, SE Iceland

Directly observing glacial drainage systems (englacial and subglacial) is challenging. The distribution, morphology and internal structure of eskers can provide valuable information about the glacial drainage system and meltwater processes. This work presents the annual evolution (meltout) and internal structure of an esker emerging from the Breiðamerkurjökull ice margin, southeast Iceland. Changes in esker morphology have been repeatedly mapped over a 1‐year period using high temporal and spatial resolution data acquired by an uncrewed aerial vehicle (UAV). The internal architecture of the esker was investigated using ground‐penetrating radar (GPR) surveys. These data are used to identify the dominant processes driving the formation of this englacial esker and to evaluate the preservation potential. The englacial esker was up to 2.6 m thick and ice‐cored. A large moulin upglacier of the esker, which evolved into an englacial conduit, supplied meltwater to the englacial channel. Upglacier dipping debris‐filled basal hydrofractures, formed by pressurised subglacial meltwater rising up the retrograde bed slope, likely supplied sediment to the englacial conduit. Over the 1‐year period of observation the crest morphology evolved from flat‐ to sharp‐crested and the esker footprint increased by a factor of 5.7 in response to post‐depositional processes. The findings presented here indicate that englacial eskers may have low preservation potential due to post‐depositional reworking such as slumping through ice‐core meltout and erosion by later meltwater flow. As englacial eskers may not be preserved in the landscape, they could represent important glacial drainage system components that are not currently captured in palaeo‐ice sheet reconstructions. This work highlights the value of creating a time series of high‐temporal resolution data to quantify morphological evolution and improve glacial process‐form models.
Hardware Accelerators based on wavelets for detection of Transient phenomena in smart grids

Wide Area Monitoring Systems (WAMS) are essential for capturing high-resolution power events and preventing serious malfunctions in the electricity grid. Such power events can be classified into automated power system control events and faults. In this paper, we utilize wavelet signal processing to detect in real-time these events by capturing abrupt changes in the grid’s voltage and frequency signals. The wavelet-based detection method is accelerated in an FPGA device meeting realtime requirements under realistic conditions by processing up to 40 Phasor Measurement Units (PMUs) signals simultaneously. In combination with the fact that it exhibits low resource utilization, it is proven that it is feasible to serve as a hardware low cost, low area offloading unit of a Phasor Data Concentrator (PDC) with enhanced power event classification capabilities.Codes on Github: https://github.com/NIKPAP558/Diploma-Thesis.git
Smartphone-Based Electrochemical Biosensor for On-Site Nutritional Quality Assessment of Coffee Blends

This work aimed to develop an easy-to-use smartphone-based electrochemical biosensor to quickly assess a coffee blend’s total polyphenols (Phs) content at the industrial and individual levels. The device is based on a commercial carbon-based screen-printed electrode (SPE) modified with multi-walled carbon nanotubes (CNTs) and gold nanoparticles (GNPs). At the same time, the biological recognition element, Laccase from Trametes versicolor, TvLac, was immobilized on the sensor surface by using glutaraldehyde (GA) as a cross-linking agent. The platform was electrochemically characterized to ascertain the influence of the SPE surface modification on its performance. The working electrode (WE) surface morphology characterization was obtained by scanning electron microscopy (SEM) and Fourier-transform infrared (FT-IR) imaging. All the measurements were carried out with a micro-potentiostat, the Sensit Smart by PalmSens, connected to a smartphone. The developed biosensor provided a sensitivity of 0.12 μA/μM, a linear response ranging from 5 to 70 μM, and a lower detection limit (LOD) of 2.99 μM. Afterward, the biosensor was tested for quantifying the total Phs content in coffee blends, evaluating the influence of both the variety and the roasting degree. The smartphone-based electrochemical biosensor’s performance was validated through the Folin–Ciocâlteu standard method.
AGCN-SAT: Adaptive Graph Convolutional Network with Spatial Attention and Transformer for EEG Emotion Recognition

EEG is the most commonly used input signal in emotion recognition tasks. Since EEG has topological structure, using graph convolutional network is a more appropriate approach. However, how to capture the dynamic changes of dependency information between EEG channels in different emotional states is still a challenge. In addition, graph convolution only captures the functional connectivity relationships between local channels, and misses many useful global spatial information. To solve the above problems, this paper proposes an Adaptive Graph Convolutional Network with Spatial Attention and Transformer (AGCN-SAT) for EEG emotion recognition. The model constructs an adaptive learning adjacency matrix to facilitate better mining of local spatial features by the graph convolutional network. Meanwhile, the Transformer module is applied to extract global spatial features and concatenate them with local spatial features to form the complete spatial features. Also, spatial attention mechanism is introduced to make model focus more attention on EEG channels related to target emotion, so as to obtain more discriminative features. We conduct experiments on SEED dataset, and the experimental results show that the proposed method achieves excellent performance.
Building better solid‐state batteries with silicon‐based anodes

Silicon (Si)‐based solid‐state batteries (Si‐SSBs) are attracting tremendous attention because of their high energy density and unprecedented safety, making them become promising candidates for next‐generation energy storage systems. Nevertheless, the commercialization of Si‐SSBs is significantly impeded by enormous challenges including large volume variation, severe interfacial problems, elusive fundamental mechanisms, and unsatisfied electrochemical performance. Besides, some unknown electrochemical processes in Si‐based anode, solid‐state electrolytes (SSEs), and Si‐based anode/SSE interfaces are still needed to be explored, while an in‐depth understanding of solid–solid interfacial chemistry is insufficient in Si‐SSBs. This review aims to summarize the current scientific and technological advances and insights into tackling challenges to promote the deployment of Si‐SSBs. First, the differences between various conventional liquid electrolyte‐dominated Si‐based lithium‐ion batteries (LIBs) with Si‐SSBs are discussed. Subsequently, the interfacial mechanical contact model, chemical reaction properties, and charge transfer kinetics (mechanical–chemical kinetics) between Si‐based anode and three different SSEs (inorganic (oxides) SSEs, organic–inorganic composite SSEs, and inorganic (sulfides) SSEs) are systemically reviewed, respectively. Moreover, the progress for promising inorganic (sulfides) SSE‐based Si‐SSBs on the aspects of electrode constitution, three‐dimensional structured electrodes, and external stack pressure is highlighted, respectively. Finally, future research directions and prospects in the development of Si‐SSBs are proposed.
Isolation and Identification of Lumpy Skin Disease Virus from Cattle in Menofeia Governorate during May 2019 to January 2020.

Keywords Lumpy skin disease virus (LSDV) is a significant and serious viral skin disease affecting cattle. In this study, isolation, and identification of LSDV from ten skin nodule samples collected from infected cattle at different localities of Menofeia Governorate, Egypt between May 2019 and January 2020. Seven out of ten nodular samples gave characteristic pock lesions by isolation of LSDV on chorioallantois membrane (CAM) of specific pathogen free embryonated chicken eggs (SPF-ECEs). On the other hand, four of ten nodular samples gave prominent CPE at the third passage on Madin Darby Bovine Kidney (MDBK ( cell culture. Seven isolated samples tested positive by indirect fluorescent antibody test (IFAT). Using specific primers for the LSDV envelope protein (P32) gene, polymerase chain reaction (PCR) detected LSDV nucleic acid in seven of ten isolated samples and confirmed LSDV isolate with a specific amplified product of 192 bp. Accurate and fast diagnosis of LSD is critical for controlling the rapid spread of the disease. PCR is an effective, quick, and precise method for detecting DNA of LSDV in clinical specimens, such as skin nodules, CAM and MDBK cells. Constant immunization against LSDV is required to protect animals and control the disease in Egypt.
Rethinking the governance of geothermal power industry: The roadmap for sustainable development

The European geothermal heating market, at one time dominated by only a handful of countries, is set to experience a purple patch in the coming years as governments scramble to find an affordable alternative to expensive gas-fired heating. The primary focus of this study will be to investigate what effect will worldwide governance factors and economic growth on the geothermal energy output among the 27 European Countries from the time being 1996 to 2021. Using the autoregressive distributed lag, the findings shows that a significant increase in the geothermal energy industry sustainability can occur in European Union 14 (EU14) emerged economies using worldwide governance factors than in EU13 emerging economies. Among additional factors, instability in the political realm, regulatory issues in the area of quality, accountability, and voice-related issues, and the ability to curb corrupt practices contribute more positively to geothermal energy sustainability in EU14 emerged economies than in European Union 13 (EU13) emerging economies. On the other hand, government effectiveness contributes more positively to geothermal energy sustainability in EU13 emerging economies than in EU14 emerged economies. The finding implies that geothermal power sustainability in EU region countries can be significantly increased by mounting the level of worldwide governance determinants to achieve Energy Union aims by 2030. This will finally be spread to combat climate change and environmental pollution. All observations on projected calculations are valid. The confirmation was achieved with the aid of the three estimators used in the study which are the pooled mean group estimator, the mean group estimator, and the third one was dynamic fixed effect approach. This study recommended that these European countries need to put more effort in terms of being effective in worldwide governance indicators which will help in goal attainment at the societal and environmental levels. Those in charge of making laws in the European countries should get more engaged in worldwide governance scopes as this will assist in facilitating the security and sustainability of geothermal energy generation. Those in charge of making policies in the EU countries should as well lay more emphasis on the strategies that could be cointegrated and as well sustainable toward worldwide governance fractionation toward the achievement of the sustainability of geothermal power and this will drastically reduce the need or dependence on fossil fuel and emissions coming from carbon dioxide in the future time.
The effect of perceived stress for work engagement in volunteers during the COVID-19 pandemic: the mediating role of psychological resilience and age differences

Volunteers played an important role throughout the COVID-19 pandemic. This study investigated the characteristics of perceived stress, psychological resilience and work engagement among 910 Chinese volunteers of different ages in the first month of pandemic in Gansu province, China. The present study tested the correlations between perceived stress and work engagement, the mediating role of psychological resilience in the relationship and the differences among age groups. The results of this study showed that work engagement and psychological resilience increased with the age of the volunteers. Work engagement and resilience levels were higher in middle adulthood than in early adulthood. As predicted, perceived stress negatively predicted work engagement. A mediation analysis showed that psychological resilience partially explained the correlations between perceived stress and work engagement. Specifically, the mediating effect of psychological resilience in early adulthood was significant, but not in middle adulthood. Overall, this study demonstrates that work engagement increased with age and was negatively predicted by perceived stress, showing these factors were important for volunteers’ work during COVID-19. Further, for those in early adulthood, psychological resilience mediated this relationship—highlighting another age difference among volunteers during COVID-19.
Elastic light scattering for fast identification of pathogens

The current health situation across the world is of great concern. There is an urgent need for novel and innovative diagnostic methods that would speed up accurate treatments decisions and be of significant utility for public health in the fight against antibiotic resistance.This Ph. D. work aims to better understand the Elastic Light Scattering (ELS) method for microbial identification. This phenotypic technique is based on the elastic scattering of a coherent light beam by a microorganism colony growing on its culture plate. The resulting scattering pattern can be considered as the phenotypic signature of the microorganism. Then this image is translated using mathematical descriptors so that it can be compared to a database previously obtained using learning algorithms.Part of this work was dedicated to the improvement of the optical design so that the instrument can handle opaque culture media widely used in clinical diagnosis. Then two approaches were proposed to model the interaction between light and bacterial colonies. A first geometrical approach could help us, using ray tracing algorithms, to estimate the numerical aperture needed for the acquisition depending on the colonies morphologies. The second approach, based on scalar diffraction theory, highlighted the importance of the biomass distribution inside the colonies. Macro-structures resulting from cells arrangement play a great role in the scattering patterns formation indeed. In addition, the features extraction step from images using a Bessel-Fourier basis significantly improved the description accuracy. A systematic approach comprising the optimization of the learning algorithm and a dimensionality reduction technique was proposed. Great improvements of classification rates were achieved. Among them: a Gram+/Gram-/Yeasts discrimination at 98.1% was obtained over 15 species. Finally the use of coherent lighting for the reading of antibiotics susceptibility test by means of dynamic speckle analysis was introduced and showed promising results.
The Mechanical Properties Relationship of Radiation-Cured Nanocomposites Based on Acrylates and Cationic Polymerized Epoxies and the Composition of Silane-Modified Tungsten Disulfide Nanoparticles

The effect of semiconducting tungsten disulfide (WS2) nanoparticles (NPs), functionalized by either methacryloxy, glycidyl, vinyl, or amino silanes, has been studied in photocuring of acrylate and epoxy resins (the latter photocured according to a cationic mechanism). The curing time, degree of curing (DC), thermal effects, and mechanical properties of the radiation-cured resins were investigated. X-ray photoelectron spectroscopy (XPS) and transmission electron microscopy (TEM) analyses confirmed that a silane coating was formed (1–4 nm) on the NPs’ surface having a thickness of 1–4 nm. Fourier transition infrared (FTIR) was used to determine the DC of the nanocomposite resin. The curing time of the epoxy resin, at 345–385 nm wavelength, was 10 to 20 s, while for acrylate, the curing time was 7.5 min, reaching 92% DC in epoxy and 84% in acrylate. The glass transition temperature (Tg) of the photocured acrylates in the presence of WS2 NPs increased. In contrast to the acrylate, the epoxy displayed no significant variations of the Tg. It was found that the silane surface treatments enhanced the DC. Significant increases in impact resistance and enhancement in shear adhesion strength were observed when the NPs were treated with vinyl silane. A previous study has shown that the addition of WS2 NPs at a concentration of 0.5 wt. % is the optimal loading for improving the resin’s mechanical properties. This study supports these earlier findings not only for the unmodified NPs but also for those functionalized with silane moieties. This study opens new vistas for the photocuring of resins and polymers in general when incorporating WS2 NPs.
Effective Biomassage Method Lowers Blood Pressure In Hypertensive Menopausal Women At Pukesmas Denpasar Barat II Denpasar Bali

The main problem of menopausal women is hypertension because in menopause the hormone estrogen is decreasing, cholesterol levels increase then arthrosclerosis occurs and blood vessels are damaged. Hypertension is one of the entrances to heart disease, kidney failure, diabetes, stroke and the global prevalence of 22% of the world's population, in Indonesia in 2018 is 34.11%. , in Bali 21% and Denpasar City 26.23%. Overcoming this problem besides conventionally needed another method to solve the problem of hypertension, namely biomassage massage. The purpose of the study was to find out whether biomassage massage is effective in lowering blood pressure in menopausal hypertension. This research method is true experimental method with pretest-postest control group design; The sample of 66 people with simple random techniques was divided into two, one experiment and one control. Analysis before and after treatment was carried out normality test, the results were all variables normally distributed for systole so that hypothesis testing with t test and abnormal on diastole so that the analysis used vicoxson and the results there were significant differences before and after treatment with sig values of 0.00 < 0.05. with a systole difference rank of 7 mmH and Diastole 4 mmHg. It was concluded that there was a significant difference before and after the Biomassage procedure. It is recommended in overcoming hypertension, besides conventionally with drugs need to be supplemented with biomassage massage education.
Progressive Context-Aware Dynamic Network for Salient Object Detection in Optical Remote Sensing Images

Although remarkable progress has been made in salient object detection (SOD) in optical remote sensing images (RSIs), the static network design paradigm adopted by existing methods would limit their adaptability to large variations in remote sensing scenes as well as object appearances. In contrast, we explore this research issue from the perspective of generating dynamic network filters, in which the parameters are conditioned on specific scene- and location-level contexts. In this article, we propose a progressive context-aware dynamic network (PCD-Net) for SOD in RSIs, which adaptively captures context information and adjusts its filtering parameters for saliency detection. PCD-Net adopts an encoder–decoder architecture, in which encoded feature representations are progressively decoded by a newly proposed dynamic module, namely, pyramid scene- and location-sensitive dynamic (PSLD) filtering module, to generate saliency representations. Furthermore, to transfer effective features from the encoder to the decoder, we construct a dynamic transfer attention (DTA) module to control the interference between the encoder and the decoder in a more flexible way. Extensive evaluations of two commonly used benchmarks demonstrate the superiority of the proposed method against the existing state-of-the-art methods.
Review Of Near Infrared Spectrum Detection Based on Deep Learning

Near infrared spectroscopy technology has the characteristics of accurate analysis of material composition and characteristics, quantitative testing, non-destructive testing, and so on. With the progress of artificial intelligence and the development of deep learning technology, near-infrared spectroscopy detection systems based on deep learning algorithms have emerged, which include various typical methods and have achieved good application results in food safety monitoring, pollutant detection, and drug analysis. This article provides a systematic review of domestic and foreign literature, introducing the principles, characteristics, and development history of deep learning and near-infrared spectroscopy technology. It discusses the research significance of near-infrared spectroscopy detection based on deep learning. It also reviews the latest progress in deep learning based near-infrared spectroscopy related technologies, elaborates on the advantages, disadvantages, and applicable fields of the methods, and makes prospects and predictions for the future development trends in this field.
A ultrawideband antenna with dual‐band band‐notch filters

The heptagonal‐shaped monopole antenna design for ultrawideband (UWB) applications is proposed. This antenna is designed on PCB FR4 substrate with relative permittivity ɛr = 4.4, loss tangent tan δ = 0.0245, and thickness h = 1.6 mm. The antenna consists of a radiated patch, a feed line, and a ground plane. With the different geometrical parameters, simulated and experimental results of the antenna are suitable for UWB operations. The bandwidth VSWR < 2 of the UWB antennas from measurement is ∼122.02% (2.63–10.86 GHz). To decrease the interference with the wireless local area networks (WLANs) at 5.2/5.8 GHz and worldwide interoperability for microwave access (WiMAX) at 3.5/5.5 GHz, two band‐notched filters covering from 3.4 to 3.69 and 5.15 to 5.85 GHz was design. Two L‐shaped slots on the patch and two slot‐type split ring resonators (SRRs) on the ground plane were used to produce two band‐notched frequency bands. The results for VSWR, far‐field H‐ and E‐plane radiation patterns and gain of the proposed antennas are presented and discussed. The radiation area of the design antenna is 26 × 16.38 mm2. The measured results show a good agreement with the simulated results.