Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultralow Voltage FinFET- Versus TFET-Based STT-MRAM Cells for IoT Applications

Spin-transfer torque magnetic tunnel junction (STT-MTJ) based on double-barrier magnetic tunnel junction (DMTJ) has shown promising characteristics to define low-power non-volatile memories. This, along with the combination of tunnel FET (TFET) technology, could enable the design of ultralow-power/ultralow-energy STT magnetic RAMs (STT-MRAMs) for future Internet of Things (IoT) applications. This paper presents the comparison between FinFET- and TFET-based STT-MRAM bitcells operating at ultralow voltages. Our study is performed at the bitcell level by considering a DMTJ with two reference layers and exploiting either FinFET or TFET devices as cell selectors. Although ultralow-voltage operation occurs at the expense of reduced reading voltage sensing margins, simulations results show that TFET-based solutions are more resilient to process variations and can operate at ultralow voltages (<0.5 V), while showing energy savings of 50% and faster write switching of 60%.
Identifying Personal Characteristics of Social Media Entrepreneurs in Indonesia

Social media is currently not only used to communicate with friends but as a platform for business. This trend has been increasing since the Covid-19 pandemic, where more and more people are using it to buy and sell. However, there are doubts in running a business through social media, i.e., the absence of the right business strategy, understanding of business competition, and the personal characteristics of the people it needs. Therefore, this study aims to determine the ideal personal characteristics needed in running a social media-based business. Using qualitative research methods, data analysis from 20 interviews identifies twelve characters, six of which are critical to someone who has good potential to do business on social media and who can make the most of it. The suitability of an entrepreneur’s character and the demands of doing business on social media will lead to positive attitudes that are key to business success.
Comparative study of single versus double time application of dinoprostone E2 gel on the induction of labor in term pregnancy and it’s fetomaternal outcomes

Background: Labor is defined as a cascade of effective uterine contractions leading to progressive effacement and dilatation of cervix resulting in the expulsion of the fetus, placenta and the membranes. The aim of the study was to evaluate the effect of single time and double time application of dinoprostone E2 gel and to compare fetomaternal outcomes after single and double application of dinoprostone E2 gel and its complications.Methods: This was a prospective observational study conducted on 200 pregnant females with a period of gestation ≥37 completed weeks between 1st January 2020 to 31st January 2021. Group A included females undergoing single time application of PGE2 gel and in group B, second dose applied after 6 hrs of first dose if there was no improvement in Bishop score. If necessary, oxytocin for augmentation of labor was started only 6 hrs after the last dose.Results: Mean age in group A was 24.38±4.37 years and in group B was 24.02±3.76 years and this difference was not found statistically significant (p>0.05). Majority of cases had vaginal delivery. In group A, 28% cases had LSCS delivery while in group B, 17% cases had LSCS delivery (p>0.05). There was significant increase in mean Bishop score after second dose of PGE2 gel in double application group by 3.24 assessed at 12 hours after induction. Double times application of gel resulted in a smaller number of failed inductions i.e.; 23 out of 100 cases in single application group and 7 out of 100 cases in double application group. Main maternal complication was nausea and vomiting which was 5% cases in group A and 11% cases in group B.Conclusions: Double times application of dinoprostone gel resulted in improved Bishop score, facilitates the process of induction, increased number of successful inductions, shortened application delivery interval and decreased cesarean section rate compared to single application. There was slight increase in maternal and fetal complications with double times application.
Inquiry-based environments for bio-signal processing training in engineering education

Active student engagement, teaching via experience in real-life settings and learning by doing, are pedagogical strategies appropriate to improve student-reasoning skills. By building models, performing investigations, examining and explaining experimental results, using theoretical and computational thinking, constructing representations, undergraduates can acquire a deeper understanding of fundamental disciplinary concepts while reinforcing transversal abilities. In this framework, Engineering courses should be designed with the final objective to develop practical skills, focusing on hands-on activities. This contribution presents two different inquiry-based learning environments recently experienced at the University of Palermo in the context of bioelectronic and biomedical Engineering. The first study describes a laboratory activity about digital ophthalmologic signal classification; the second laboratory focuses on the analysis of the prefrontal cortex activation during a memory task using functional Near InfraRed Spectroscopy (fNIRS). We introduce and discuss the learning workshops, with the research objective of improving current instruction and training in Engineering courses. Indeed, this contribution aims to suggest a conceptual framework in the form of a structured elective suite of modules tailored to meet the needs of Engineering graduates. The outcomes of both studies seem to highlight that self-directed learning activities could enhance students’ enthusiasm to learn and engagement in engineering investigations, contributing to improve the achievements of students and acquire a more effective learning approach.
Earthquake-Resilient Design of Seismically Isolated Buildings: A Review of Technology

Earthquake Seismic isolation plays an important role in achieving sustainable earthquake resilience communities. Seismic isolation method is a justified, mature, and reliable performance enhancement strategy for a wide range of structural systems and valuable contents. As a result of the targeted response modification, high-performance expectations and earthquake resilience can be achieved during the service life of the structures that are compliant with the design code requirements. Design and analysis procedures of isolation systems in standards were evolved substantially to expand the use of isolation technology and quantify the benefits of isolation systems to overcome the existing impediments. Strictly speaking, new tools are offered to the engineering community to highlight the possible issues that may appear in isolation units beyond the design basis earthquake level to improve the accuracy of response prediction. This paper aims to overview the characteristics of frequently used isolation systems in the industry with mathematical models, design criteria toward sustainable communities, the current state of practice along with the set forth design requirements of selectively well-known standards with special emphasis to the ELF procedure from the perspective of performance-based design philosophy. Additionally, two large-scale seismic isolation applications in the world are given as benchmark studies for the new construction and upgrading scheme in the content of the study.
Effect of Organic Amendment Addition on Soil Properties, Greenhouse Gas Emissions and Grape Yield in Semi-Arid Vineyard Agroecosystems

In semi-arid vineyard agroecosystems, highly vulnerable in the context of climate change, the soil organic matter (OM) content is crucial to the improvement of soil fertility and grape productivity. The impact of OM, from compost and animal manure, on soil properties (e.g., pH, oxidisable organic C, organic N, NH4+-N and NO3−-N), grape yield and direct greenhouse gas (GHG) emission in vineyards was assessed. For this purpose, two wine grape varieties were chosen and managed differently: with a rain-fed non-trellising vineyard of Monastrell, a drip-irrigated trellising vineyard of Monastrell and a drip-irrigated trellising vineyard of Cabernet Sauvignon. The studied fertiliser treatments were without organic amendments (C), sheep/goat manure (SGM) and distillery organic waste compost (DC). The SGM and DC treatments were applied at a rate of 4600 kg ha−1 (fresh weight, FW) and 5000 kg ha−1 FW, respectively. The use of organic amendments improved soil fertility and grape yield, especially in the drip-irrigated trellising vineyards. Increased CO2 emissions were coincident with higher grape yields and manure application (maximum CO2 emissions = 1518 mg C-CO2 m−2 d−1). In contrast, N2O emissions, mainly produced through nitrification, were decreased in the plots showing higher grape production (minimum N2O emissions = −0.090 mg N2O-N m−2 d−1). In all plots, the CH4 fluxes were negative during most of the experiment (−1.073−0.403 mg CH4-C m−2 d−1), indicating that these ecosystems can represent a significant sink for atmospheric CH4. According to our results, the optimal vineyard management, considering soil properties, yield and GHG mitigation together, was the use of compost in a drip-irrigated trellising vineyard with the grape variety Monastrell.
Plane dilatational and shear waves in a uniformly rotating thermo-viscoelastic material with voids

Abstract Effects of uniform rotation on propagating plane waves in a thermo-viscoelastic material with voids are explored. Five distinct modes are found to propagate in the considered rotating medium. Only in some specific directions relative to the axis of rotation, these modes may behave like pure dilatational or pure shear waves. Considering copper as a rotating thermo-viscoelastic material with voids, phase speeds and corresponding attenuations of all the existing pure modes are computed numerically and depicted graphically. Several well-known results are reduced as particular cases from the present formulation. Some facts regarding the directions of the pure modes are pointed out.
ZnO coating on silicon rubber urinary catheter to reduce the biofilm infections

ABSTRACT The main objective of this research was to control the formation of biofilm on the urinary catheter because biofilm infections spread in the urethra and sometimes become the cause of death. zinc oxide (ZnO) coating was done on the silicon rubber urinary catheter to reduce the biofilm formation because it exhibits antibacterial properties. It has a large surface area relative to its size. The coating was done by the RF sputtering method to enhance the deposition of Zinc Oxide nanoparticles on Silicon rubber urinary catheter. The deposition was characterised by optical microscopy, scanning electron microscopy, and X-Ray diffraction. Antimicrobial and antibiofilm activity of ZnO were also investigated in the present work. As the urinary catheter works in an aqueous medium, some physical changes happen in the catheter. Swelling tests were also performed to study the physical changes. Optical microscopy, SEM and XRD analysis confirmed the coating of ZnO over the silicon rubber urinary catheters. It was observed that the mechanical properties remain nearly the same, but biofilm formation and percentage swelling reduced significantly after ZnO coating. The swelling in the uncoated sample was around 22.7% while swelling in the coated sample was just 7.7%.
Determinan Pengungkapan Laporan Berkelanjutan

This study aims to examine the effect of financial performance and firm size on the disclosure of sustainability reports with good corporate governance as a moderator. The population in this study are state-owned companies listed on the Indonesia Stock Exchange in 2015-2020. The sampling method used is purposive sampling as many as 54 state-owned companies. The analysis technique uses multiple linear analysis. The results showed that profitability, leverage and good corporate governance had no effect on the disclosure of the sustainability report. Company size has a negative effect on the disclosure of sustainability reports. Good corporate governance is not able to moderate the effect of profitability on the disclosure of the sustainability report. On the other hand, good corporate governance weakens the effect of leverage and good corporate governance strengthens company size on the disclosure of sustainability reports.
Palaeoceanographic significance of aragonitic pteropods in the Indian Ocean – a review

The Quaternary pteropod records published in the late 1990s from the Indian Ocean provided vital information on past oceanographic and climatic changes in this region. This paper reviews the published work on pteropod preservation and abundance in the Indian Ocean to evaluate the usefulness of this microfossil group in palaeoceanographic reconstructions. Their aragonitic shell chemistry makes them reliable indicators of ocean acidification, paleaoceanography and paleoclimate. An increased interest in studying this faunal group has arisen from recent findings on the vulnerability of aragonite shell preservation to human impacted water column chemistry changes. The compiled pteropod studies show that most of the pteropod databases contain information on abundance and distribution. However, the biogeochemical parameters and processes, such as aragonite production in the water column, their settling fluxes and the shell dissolution patterns are less explored. Despite the wide geographical range of pteropods and their significance in the marine food web, the ecology and taxonomy of the holoplanktonic gastropods in the Indian Ocean are poorly known. Though these pteropods are recovered in plankton tows (standing crop) and sediment traps (settling fluxes), the surface sediments in large parts of the northern Indian Ocean are completely devoid of them. Thus, assessing their fate in the water column and the sediment–water interface and their response to prevailing biogeochemical conditions are worth pursuing. Genomic studies and isotopic and elemental chemistry of living and fossil pteropods could help assess their response to ecological changes. To date, such modern techniques have been little utilized in studying Indian Ocean pteropods. A knowledge of their shell chemistry is crucial in the context of increased input of anthropogenic CO2 and the susceptibility of pteropod preservation to changing climate.
Extraction of uranium(VI) from nitric acid solutions using N,N-dihexyloctanamide in ionic liquids: Solvent extraction and spectroscopic studies

ABSTRACT Liquid-liquid extraction studies of uranium(VI) were carried out from nitric acid medium using di-n-hexyloctanamide (DHOA) in several room-temperature ionic liquids (RTIL). The extraction of the metal ion as a function of nitric acid concentration showed different trends based on the alkyl substituents of the RTIL. While the DU values decreased with increasing HNO3 concentration (up to ca. 0.5 M) with [C4mim][NTf2] and [C6mim][NTf2], almost no change was seen with [C8mim][NTf2]. This suggested that while a cation-exchange mechanism is operative with the former diluents, which was to a much lower extent for the latter. The extracted species were found to contain about 2 molecules of DHOA from the feed solutions containing either 0.01 M and 4 M HNO3, which was arrived at from the ligand-concentration-variation experiments. Recycling studies were also performed by carrying out stripping and radiolytic stability studies. The nature of the extracted species as ascertained from the UV-visible spectrophotometry studies indicated similarity between the extracts obtained in RTIL medium, which were entirely different from that observed with n-dodecane as the diluent.
REE Tetrad Effect and Sr-Nd Isotope Systematics of A-Type Pirrit Hills Granite from West Antarctica

The Pirrit Hills are located in the Ellsworth–Whitmore Mountains of West Antarctica. The Pirrit Hills granite exhibits significant negative Eu anomalies (Eu/Eu* = 0.01~0.25) and a REE tetrad effect indicating intensive magmatic differentiation. Whole-rock Rb-Sr and Sm-Nd geochronologic analysis of the Pirrit Hills granite gave respective ages of 172.8 ± 2.4 Ma with initial 87Sr/86Sr = 0.7065 ± 0.0087 Ma and 169 ± 12 Ma with initial 144Nd/143Nd = 0.512207 ± 0.000017. The isotopic ratio data indicate that the Pirrit Hills granite formed by the remelting of Mesoproterozoic mantle-derived crustal materials. Both chondrite-normalized REE patterns and Sr-Nd isotopic data indicate that the Pirrit Hills granite has geochemical features of chondrite-normalized REE patterns indicating that REE tetrad effects and negative Eu anomalies in the highly fractionated granites were produced from magmatic differentiation under the magmatic-hydrothermal transition system.
Prevalence, Pattern and Risk Factors of Dating Violence among Undergraduate Students of a Tertiary Institution within Sokoto Metropolis of Sokoto State, Nigeria

Aim: To determine the prevalence, pattern and risk factors of dating violence among undergraduate students of Usmanu Danfodiyo University Sokoto (UDUS). Methodology: It was a descriptive cross-sectional study involving 340 undergraduate students, selected via multistage sampling technique. A structured self-administered questionnaire was used to collect data from the respondents, and data were analyzed using IBM SPSS version 26.0 and Microsoft Excel 2016. Results: The ages of the respondents ranged from 18 to 29 years, with mean of 22.4±2 years; 218(66.9%) were males, 214(65.6%) were Hausa/Fulani and 266(81.9%) were Muslims. Majority of the respondents have been in a dating relationship for more than one academic year; 106(37.3%) of the dating partners were students of the university, of which 26(24.8%) were class mates. Current and lifetime prevalence of dating violence were 56% and 59.5% respectively. Form of dating violence experienced mostly by respondents was emotional/psychological violence [44(22.4%)], physical violence was the least experienced [27(14.04%)]. Up to 93(48%) of the dating violence took place on campus and 68(35%) of the perpetrators were current partners. Factors associated with dating violence included feeling overburdened by partners’ demands, and spending too much on partner. Conclusion: Current and lifetime prevalence of dating violence were high and emotional violence was the commonest form of dating violence experienced by respondents. There is need for school authorities to put in place mechanisms to identify victims of dating violence and come up with measures aimed at stemming the tide of dating violence in university campuses.
Numerical solution of coupled 1D Burgers’ equation by employing Barycentric Lagrange interpolation basis function based differential quadrature method

Abstract The aim of present study is to develop a numerical scheme by using the notion of Barycentric Lagrange interpolation based Differential quadrature method to solve the coupled 1D Burgers’ equation. This method reduced the mentioned partial differential equation into the set of ordinary differential equations, which can be dealt by the SSP-RK43 scheme. The proposed method has been implemented upon the different numerical examples in order to test the accuracy and effectiveness of the proposed method. It is observed that obtained results are in good compatibility with the exact solution and are better than the previous results. The stability of the proposed method is also discussed by using the matrix stability analysis method, which represents that the proposed method is unconditionally stable.
A novel synergistic multi-scale modeling framework to predict micro- and meso-scale damage behaviors of 2D triaxially braided composite

A novel synergistic multi-scale modeling framework with a coupling of micro- and meso-scale is proposed to predict damage behaviors of 2D-triaxially braided composite (2DTBC). Based on the Bridge model, the internal stress and micro damage of constituent materials are respectively coupled with the stress and damage of tow. The initial effective elastic properties of tow (IEEP) used as the predefined data are estimated by micro-mechanics models. Due to in-situ effects, stress concentration factor (SCF) is considered in the micro matrix, exhibiting progressive damage accumulation. Comparisons of IEEP and strengths between the Bridge and Chamis’ theory are conducted to validate the values of IEEP and SCF. Based on the representative volume element (RVE), the macro properties and damage modes of 2DTBC are predicted to be consistent with available experiments and meso-scale simulation. Both axial and transverse damage mechanisms of 2DTBC under tensile or compressive load are revealed. Micro fiber and matrix damage accumulations have significant effects on the meso-scale axial and transverse damage of tows due to multi-scale coupling effects. Different from existing meso-/multi-scale models, the proposed multi-scale model can capture a crucial phenomenon that the transverse damage of tow is vulnerable to micro fiber fracture. The proposed multi-scale framework provides a robust tool for future systematic studies on constituent materials level to larger-scale aeronautical materials.
Unknown SAR Target Identification Method Based on Feature Extraction Network and KLD-RPA Joint Discrimination

Recently, deep learning (DL) has been successfully applied in automatic target recognition (ATR) tasks of synthetic aperture radar (SAR) images. However, limited by the lack of SAR image target datasets and the high cost of labeling, these existing DL based approaches can only accurately recognize the target in the training dataset. Therefore, high precision identification of unknown SAR targets in practical applications is one of the important capabilities that the SAR–ATR system should equip. To this end, we propose a novel DL based identification method for unknown SAR targets with joint discrimination. First of all, the feature extraction network (FEN) trained on a limited dataset is used to extract the SAR target features, and then the unknown targets are roughly identified from the known targets by computing the Kullback–Leibler divergence (KLD) of the target feature vectors. For the targets that cannot be distinguished by KLD, their feature vectors perform t-distributed stochastic neighbor embedding (t-SNE) dimensionality reduction processing to calculate the relative position angle (RPA). Finally, the known and unknown targets are finely identified based on RPA. Experimental results conducted on the MSTAR dataset demonstrate that the proposed method can achieve higher identification accuracy of unknown SAR targets than existing methods while maintaining high recognition accuracy of known targets.