Miracle-dz/UniFAR-FTUs huggingface dataset:
The Green Blockchains of Circular Economy

Eco-friendly systems are necessitated nowadays, as the global consumption is increasing. A data-driven aspect is prominent, involving the Internet of Things (IoT) as the main enabler of a Circular Economy (CE). Henceforth, IoT equipment records the system’s functionality, with machine learning (ML) optimizing green computing operations. Entities exchange and reuse CE assets. Transparency is vital as the beneficiaries must track the assets’ history. This article proposes a framework where blockchaining administrates the cooperative vision of CE-IoT. For the core operation, the blockchain ledger records the changes in the assets’ states via smart contracts that implement the CE business logic and are lightweight, complying with the IoT requirements. Moreover, a federated learning approach is proposed, where computationally intensive ML tasks are distributed via a second contract type. Thus, “green-miners” devote their resources not only for making money, but also for optimizing operations of real-systems, which results in actual resource savings.
Pengaruh Model Pembelajaran SAVI terhadap Hasil Belajar Matematika Siswa di Sekolah Dasar

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan model pembelajaran pembelajaran SAVI terhadap hasil belajar matematika siswa di kelas V SD Negeri 067245 Bunga Asoka KecamatanMedan Selayang tahun pembelajaran 2020/2021. Jenis Penelitian ini adalah kuantitatif dengan menggunakan metode deskriptif analitik. Populasi penelitian ini seluruh siswa kelas V SD Negeri 067245 Bunga Asoka yang terdiri dari 2 kelas dengan Jumlah siswa 58 siswa. Pengambilan sampel dengan menggunakan simple random sampling dan diperoleh sampel sebanyak 29 siswa. Hasil penelitian ini menunjukkan bahwa hasil belajar siswa dengan menggunakan model SAVI termasuk kategori baik dengan rata-rata 80.4. Hasil penelitian ini menunjukkan bahwa hasil pengujian korelasi dapat dilihat pada nilai koefisien korelasi sebesar 0.761 artinya rhitung (0.761) ≥ rtabel (0.367) maka Ha diterima. Maka terdapat pengaruh yang kuat antara model pembelajaran SAVI terhadap hasil belajar matematika siswa di kelas V SD Negeri 067245 Bunga Asoka. Dapat juga dilihat dari hasil pengujian uji-t dimana thitung ≥ ttabel yaitu 6.068 ≥ 1.703 sehingga menyatakan bahwa Ha diterima. Hal ini menunjukkan adanya pengaruh positif yang signifikan dari penggunaan model pembelajaran SAVI terhadap hasil belajar matematika siswa di kelas V SD Negeri 067245 Bunga Asoka Kecamatan Medan Selayang tahun pembelajaran 2020/2021
Microwave Drying Characteristics and Drying Quality Analysis of Corn in China

To identify the microwave drying characteristics of corn, microwave drying tests were conducted on corn. By taking the moisture content, drying rate, and drying temperature as indices, this research revealed the effects of different microwave powers and loads on the microwave drying characteristics of corn. Moreover, energy consumption and quality of dried corn were analysed under different drying conditions. The results demonstrate that microwave drying has significant energy-saving effects. The energy consumption by microwave drying is less than 0.3 times that used by electrothermal drying under the same load. Both microwave power and load exert significant influences on drying characteristics. Higher microwave power results in a greater average drying rate, wherein shorter periods of time are required to reach the maximum drying rate and higher temperatures of the corn. However, the load shows the opposite tendency. The smaller the load, the higher the temperature of the corn in the early stage of drying. However, as drying continues, the temperature curve changes significantly, and the temperature rises with the increase in load in the later stage of drying. In consideration of energy consumption and dried quality, the load of corn should be increased as appropriate, and the microwave intensity should be limited to no higher than 0.7 W/g in the experiment.
Design Optimization of Asymmetric Patterns for Variable Stiffness of Continuum Tubular Robots

Variable stiffness mechanisms have become popular for improving the performance of meso/microscale robots due to their ability to enable safe, effective, and versatile operation without additional actuators. In minimally invasive surgery (MIS), they can provide low stiffness for adaptability and an extended workspace and high stiffness for stable manipulation. This study aims to optimize the pattern design that maximizes the stiffness ratio while preventing buckling. Longitudinal slits are identified as the ideal shape for maximizing the ratio using topology optimization. The effects of the design parameters are investigated by analytical modeling and finite-element analysis (FEA). Finally, we established a design optimization process to maximize the variable stiffness ratio while ensuring safety. The load and buckling tests of 19 cases are verified in both the experiment and FEA. Buckling occurred in eight cases, consistent with the expected results from the proposed map. Among the tested cases, the tube with the optimal pattern parameter set exhibits the highest stiffness ratio of 2.67 while satisfying the given stiffness constraint (greater than 0.3 times the flexural stiffness of the initial tube) and avoiding buckling. The proposed optimization method potentially enables an extended workspace and more versatile functionality for MIS instruments.
Wavefield Decomposition-Based Direct Envelope Inversion and Structure-Guided Perturbation Decomposition for Salt Building

Due to the large-scale and strong perturbation features of salt bodies, it is very difficult to complete a good salt building with the conventional full waveform inversion (FWI) method without low-frequency data and prior information. The direct envelope inversion (DEI) method is quite effective for salt building when seismic data lack low-frequency information. However, in the current DEI studies, the calculation of the envelope field, which needs a nonlinear envelope operator, does not consider the influences of wavefield overlapping, and the inversion quality of subsalt areas needs further improvements. In this paper, we analyze the effects of wavefield overlapping on envelope field calculation and propose a new envelope field calculation method based on wavefield decomposition. Then, we propose a wavefield decomposition-based direct envelope inversion (WDDEI) method, in which the gradient is calculated using the new envelope field. To improve the inversion quality of subsalt structures, we propose a structure-guided perturbation decomposition method, which can separate the strong scattering salt information from the DEI results with the help of reverse time migration images. Finally, numerical tests are conducted on a modified SEG/EAGE salt model to demonstrate the effectiveness and the antinoise performance of the proposed method.
Influence of halloysite nanotubes on poly(lactic acid) melt-blown nonwovens compatibilized by dual-monomer melt-grafted poly(lactic acid)

To develop fully biodegradable and reinforced poly(lactic acid) (PLA) melt-blown nonwovens (MBs) for separation and filtration, PLA/aminated halloysite nanotubes (PLA/A-HNTs) MBs were prepared using PLA/A-HNTs master-batches, compatibilized by dual-monomer glycidyl methacrylate-styrene (St-co-GMA) melt-grafted PLA (PLA-g-(St-co-GMA)). The morphology, crystallization, pore size distribution, filtration performance, and mechanical properties of PLA/PLA-g-(St-co-GMA)/A-HNTs MBs were characterized. The results indicated that PLA/PLA-g-(St-co-GMA)/A-HNT MBs could be successfully manufactured, with well dispersed A-HNTs in PLA MB fibers due to improved compatibility by PLA-g-(St-co-GMA). Incorporation of A-HNTs and PLA-g-(St-co-GMA) slightly increased the average diameter and pore size of PLA MBs. A-HNTs increased the crystallinity degree of PLA MBs, while the crystal forms remained unchanged. In comparison with PLA MBs, the tensile strengths of PLA/PLA-g-(St-co-GMA)/A-HNTs MBs were enhanced but the elongation decreased. PLA/PLA-g-(St-co-GMA)/A-HNT MBs could obtain higher filtration efficiency than neat PLA MBs.
Finite Element Modeling And Parametric Optimization of Solidly Mounted Film Bulk Acoustic Resonator For Its Performance Enhancement

This paper reports, the application of Taguchi Design of Experiments (DoE) and ANOVA (Analysis of Variance) for finding the optimal combinations and analysis of the effect of individual layer thickness on the performance of SMR sensor. The optimum combination of design parameters and its performance as a sensor have been predicted with DoE and validated through the finite element modeling (FEM) simulation. The optimization has been done to achieve enhancement in coupling coefficient of SMR sensor. The best optimized thickness of metal electrodes, piezoelectric, sensing, insulation low and high acoustic impedance layers have been found to be 0. 2µm, 2µm, 0. 68µm, 0. 3µm, 1. 028µm and 1. 008µm, respectively. The results of the present study show that for the optimized dimension of SMR structure, simulated values of coupling coefficient (K2eff), Quality factor (Q) and figure of merit (FoM) are 0.075596 (or 7.5596%), 1171.6 and ≈ 88, respectively. Optimized structure performance has been compared with the existing SMR sensors and it is observed that proposed SMR exhibits performance enhancement in terms of FoM by ≈ 37 %.
Identification and Antibiogram Studies of Pathogenic Bacteria Isolated From Drinking Water (Unpackaged) In Chittagong City, Bangladesh

Drinking water (unpackaged) samples were collected from twenty roadside shops of different locations in Chittagong metropolitan area, where physicochemical parameters (pH, TDS, temperature) were not exceeded WHO prescribed range in most cases. TVC, TCC, TFCC, TSC, Salmonella spp. and Vibrio spp. were found contaminated as 85%, 70%, 50%, 20%, 30% and 75%, respectively. All the bacterial isolates (n=43) were found positive for 16S rDNA gene, while 12 isolates were coliform positive identified by lacZ gene amplification. Nine bacterial genera were finally identified depending on biochemical characteristics and two of them were further confirmed by 16S rDNA sequencing. Escherichia coli, Citrobacter spp. , Klebsiella pneumoniae and Vibrio cholerae were resistant to amoxicillin, where all the bacterial isolates exhibited sensitivity to ciprofloxacin, gentamicin, imipenam and levofloxacin. Presence of human pathogenic and antibiotic resistant bacteria in unpackaged drinking water, suggested for increasing regular monitoring and public awareness to ensure public health safety Journal of Bangladesh Academy of Sciences, Vol. 42, No. 2, 137-153, 2018
Isotopic compositions of the elements 2013 (IUPAC Technical Report)

Abstract The Commission on Isotopic Abundances and Atomic Weights (ciaaw.org) of the International Union of Pure and Applied Chemistry (iupac.org) has revised the Table of Isotopic Compositions of the Elements (TICE). The update involved a critical evaluation of the recent published literature. The new TICE 2013 includes evaluated data from the “best measurement” of the isotopic abundances in a single sample, along with a set of representative isotopic abundances and uncertainties that accommodate known variations in normal terrestrial materials.
Advancement of information extraction use in legal documents

ABSTRACT The number of legal documents is already huge and growth is occurring at a swift pace; yet, the need to procure information from these documents for various purposes persists. One of the technologies available for this purpose is information extraction (IE), which has been applied widely in different domains to date. However, few research reviews have specifically discussed the development of legal IE. For this reason, it is considered important to conduct a literature review to identify and analyse the research, topics, datasets and methods used in legal IE research. This study used a standard systematic review method as stipulated by the PRISMA guidelines and collected papers from five main databases published between January 1990 and December 2020. A total of 107 articles were selected for inclusion in this review. Legal IE has been employed for various applications to date, but there is a wide range of different conditions, problems, and solutions reported by various studies in applying legal IE in various countries. This study offers a more concrete understanding, a broader perspective and provides an overview of various open problems in this regard so that it can serve as a guide in the development of future legal IE research.
A biofuel supply chain equilibrium analysis with subsidy consideration

We consider a biofuel supply chain problem in which a farmer supplies two downstream refineries with nonidentical crops (corn and energy crop). The problem has been modeled as a multi leader single follower game to derive the farmer's decisions on land use as well as refineries' proposed prices to the farmer. We consider subsidizing the farmer and the refinery that uses the energy crop to study whether a subsidy plan can enhance the advanced biofuel production and meet the mandate of the Environmental Protection Agency (EPA). This mandate requires the production of 36 billion gallons of biofuel, out of which 21 billion gallons should be noncorn‐based biofuel. We solve the problem under four cases based on the willingness of the farmer to sell corn to the food market as well as the availability of land expansion for her. The Nash equilibrium is derived for all cases, and parametric analyses are used to study the effect of subsidies on the profit of the players and the total social welfare of the supply chain. We observe that a government's expenditure can be offset by the increase of the social welfare under certain circumstances. We find the minimum budget requirement to meet the EPA's mandate and show that a specific budget can be distributed in different ways while obtaining the same results.
EEG-Based Analysis of the Impact of Familiarity in the Perception of Deepfake Videos

We investigate the brain’s subliminal response to fake portrait videos using electroencephalography, with a special emphasis on the viewer’s familiarity with the depicted individuals.Deepfake videos are increasingly becoming popular but, while they are entertaining, they can also pose a threat to society. These face-swapped videos merge physiognomy and behaviour of two different individuals, both strong cues used for recognizing a person. We show that this mismatch elicits different brain responses depending on the viewer’s familiarity with the merged individuals.Using EEG, we classify perceptual differences of familiar and unfamiliar people versus their face-swapped counterparts. Our results show that it is possible to discriminate fake videos from genuine ones when at least one face-swapped actor is known to the observer. Furthermore, we indicate a correlation of classification accuracy with level of personal engagement between participant and actor, as well as with the participant’s familiarity with the used dataset.
Nitrogen Vacancies-Assisted Enhanced Plasmonic Photoactivities of Au/g-C3N4 Crumpled Nanolayers: A Novel Pathway toward Efficient Solar Light-Driven Photocatalysts

We have demonstrated the crucial role of nitrogen vacancies toward the enhancement of the plasmonic properties of Au/g-C3N4 nanocomposites, which were prepared via the alkali-assisted synthesis and postcalcination pathway, for the effective production of hydrogen through a photocatalytic process under simulated solar light. The resulting material consisted of the nitrogen defective crumpled nanolayers of g-C3N4 with strongly integrated Au plasmonic nanoparticles. It is realized from the studies that the nitrogen vacancies facilitate a stronger interaction with Au NPs and create the coexistence of the states of Au and Au(δ−), which is eventually found to be the origin of the observed enhanced plasmonic properties of the nanocomposite. Such features have not been observed in any other conventional methods for the preparation of Au/g-C3N4, where it significantly improved (i) the light utilization abilities of the materials and (ii) electron–hole generation and separation, which collectively led to the boosti.
High gain boost converter fed asynchronous motor drive for water pumping system

ABSTRACT High gain dc–dc boost chopper are rapidly expanding substituting power converters for Photo Voltaic (PV) appliances. Investigators are creating different schemes to accomplish greater voltage gain, low ripple, switch stress, decreases the cost of converters and reduces the fluctuations at the photovoltaic operation point. This paper proposes a two-stage converter for standalone solar photovoltaic (PV) water pumping drive system. High Gain (HG) cell combined with DC-to-DC boost converter. This compound converter provides dc voltage fed asynchronous motor drive system. The utilisation of three-phase asynchronous motor introduces a superior solution to the industrial DC motor-based water pumping scheme. A three-phase asynchronous motor connected to voltage source inverter (VSI), which in turning throws the centrifugal pump. The scheme comprises of a PV array, high-gain DC–DC chopper, 3-Phase Voltage Source Inverter (VSI), motor and a pump. Incremental conductance method used to obtain maximum power from a solar PV structure. Indirect Field Oriented Control of an asynchronous motor is employed to achieve soft starting of the motor. The scheme setup is simulated using MATLAB/Simulink. The proposed system is tested experimentally. The results accomplished demonstrate the scheme fitness for PV water pumping.
Star Wars? Space Weather and Electricity Market: Evidence from China

This paper aims to investigate the impact of space weather on China’s electricity market. Based on data products provided by NOAA and the National Energy Administration in China, this paper uses solar wind velocity as a solar weather indicator and the disturbance storm time index as a magnetospheric weather indicator to match monthly Chinese electricity market data over 10 years. Based on a VAR model, we found that (1) space weather increases the demand for electricity in China, and solar wind speed and the geomagnetic index increase the electricity consumption of the whole of Chinese society, as space weather mainly increases the electricity consumption of the secondary and industrial sectors. (2) The geomagnetic index significantly promotes power station revenue. (3) Space weather is associated with increased energy consumption. The geomagnetic index significantly increases the coal consumption rate of fossil power plants in China, but the solar wind speed has nothing to do with the coal consumption rate of fossil power plants.
Identifying Influential Nodes in Complex Networks Based on Node Itself and Neighbor Layer Information

Identifying influential nodes in complex networks is of great significance for clearly understanding network structure and maintaining network stability. Researchers have proposed many classical methods to evaluate the propagation impact of nodes, but there is still some room for improvement in the identification accuracy. Degree centrality is widely used because of its simplicity and convenience, but it has certain limitations. We divide the nodes into neighbor layers according to the distance between the surrounding nodes and the measured node. Considering that the node’s neighbor layer information directly affects the identification result, we propose a new node influence identification method by combining degree centrality information about itself and neighbor layer nodes. This method first superimposes the degree centrality of the node itself with neighbor layer nodes to quantify the effect of neighbor nodes, and then takes the nearest neighborhood several times to characterize node influence. In order to evaluate the efficiency of the proposed method, the susceptible–infected–recovered (SIR) model was used to simulate the propagation process of nodes on multiple real networks. These networks are unweighted and undirected networks, and the adjacency matrix of these networks is symmetric. Comparing the calculation results of each method with the results obtained by SIR model, the experimental results show that the proposed method is more effective in determining the node influence than seven other identification methods.
Revealing High‐Manganese Material on Mars at Microscale

High‐manganese materials would provide valuable information about the history of a water‐rich and oxidizing environment on early Mars. However, the detailed texture and components of these high‐manganese materials are unknown. In martian breccia meteorite NWA 11220, one unique lithic clast enriched in high‐manganese material (~5 vol%) has been recognized. Here, we report the morphological, micro‐textural, mineralogical, and geochemical features of the martian high‐manganese material at the microscale for the first time. Our results show that (a) high‐manganese materials are characterized by micron‐sized grain (<50 μm), complex associated‐phase (i.e., apatite, enstatite, magnetite, ilmenite, and amorphous matrix), and chemical heterogeneity; (b) nano‐sized (<500 nm) amorphous manganese‐oxide veins or grains are the only manganese‐bearing phases in the high‐manganese materials. These new observations provide new evidence for revealing the geological processes related to the high‐manganese materials on Mars and provide important information for future in‐situ exploration and data interpretation of high‐manganese materials on Mars.
Development of a combined quantum monte carlo-effective fragment molecular orbital method

ABSTRACT The development of a combined Quantum Monte Carlo (QMC) - Effective Fragment Molecular Orbital (EFMO) method is described. The combined QMC-EFMO method inherits the advantages of both methods: the high accuracy of the QMC computational results and the favourable computational scaling due to the EFMO fragmentation of large systems. The combined QMC-EFMO method is illustrated for several water-containing clusters. GRAPHICAL ABSTRACT
Evaluation of Antibacterial Activity of Zataria multiflora Against the Expression of icaADB and aap Gene and Biofilm Formation in Staphylococcus epidermidis

Background: This study aimed at evaluating the effect of the extract and essential oil of Zataria multiflora on reducing phenotypes and genotypes of biofilm formation in clinical isolates of Staphylococcus epidermidis. Methods: The ability to produce biofilm was evaluated by microtiter plate (MtP) for phenotype and through the presence of icaADB and aap by PCR for genotype among the 153 clinical isolates of Staphylococcus epidermidis. The impact of ethanol extract and essential oil of Zataria multiflora were measured on biofilm formation in phenotypic evaluation based on MtP and on the expression of ica operon and aap by real time-PCR. Results: The results showed that 71.2% of isolates were able to produce biofilms. The PCR results showed that 52.2% and 88.9% of the isolates had icaABD and aap, respectively. In addition, the relative mRNA expression of icaA, icaD, and aap genes were significantly reduced compared to the negative control after treating the Staphylococcus epidermidis RP62A with subMIC concentration of essential oil and extract (P < 0.001). Conclusions: Given the significant inhibitory effect of the extract and essential oil of Zataria multiflora on biofilm formation, it seems that these substances are good options for studies related to controlling biofilm formation in Staphylococcus epidermidis