Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Development of Future Estimate in Confronting Ransomware

Ransomware might be a one assortment of malignant PC code which is that the quickest spreading malware risk as they focusing on each kind of clients records result in brief or perpetual loss of touchy information issue to ordinary activities, cash misfortunes caused to resuscitate framework documents that partners potential hurt to an association. As a consequences of an essential information’s unit encoded on the pc arrange by the programmers which they request the payment to pay a computerized cash style of a bitcoin inside a particular date, if installment isn’t done no information are back to unique sort of mystery composing. The proposed framework demonstrates that gathering of bitcoin datasets are accustomed to anticipating the eventual fate of bitcoin rates then examination the ransomware, that investigation are utilized to discover the ransomware extends then the client can shutting the framework doors for keeping away from the trail technique for malware go into the framework. It shows the security measures for the framework from the ransomware prediction.
Bounded Observer-Based Consensus Algorithm for Robust Finite-Time Tracking Control of Multiple Nonholonomic Chained-Form Systems

This article is concerned with the leader–follower consensus tracking problem for multiagent systems with nonholonomic high-order chained-form dynamics subject to external disturbances. A novel distributed and bounded observer is first developed for each follower to estimate the leader information in a finite time. Then, a bounded fast terminal sliding-mode control protocol is constructed for each follower to track the estimated leader's states leading to the fast convergence performance as well as strong robustness. Contrary to some existing finite-time consensus tracking schemes, the control input constraint is taken into account by utilizing hyperbolic tangent saturation function to reduce the risk of the actuator saturation. Moreover, an approximation-based technique is introduced to reduce the conservatism of the upper bound of convergence time. Finally, some simulations for a set of wheeled mobile robots are carried out to demonstrate the efficiency of the proposed control algorithm.
Analysis on affecting factors of magnetorheological finishing

A magnetorheological finishing experimental device was designed and fabricated to explore influencing factors during polishing process. The device consists of the subsystems of mechanical transmission, workpiece clamp, magnetorheological fluid circulation and magnetic excitation. Magnetorheological fluids of different carbonyl iron volume ratio were prepared to research the effects with different workpiece speeds, polishing wheel speeds during magnetorheological finishing. The material of the workpiece is K9 glass. Experiment results show that the material removal rate increases with the workpiece speed and the speed of the polishing wheel. The increasing of volume ratio of carbonyl iron can also increase the material removal rate when the volume ratio is low, but the removal rate decreases when the volume ratio of the carbonyl iron powder reaches high value.
Demonstration of Li-Ion Capacity of MAX Phases

Herein we report on the reversible electrochemical intercalation of Li ions into Ti2SC and Ti3SiC2, layered ternary transition-metal carbides, known as MAX phases. It is demonstrated that the particle size plays an important role in the electrochemical performance of MAX phases. Ti2SC particles with a size of hundreds of nanometers showed an initial reversible capacity of ∼80 mAh g–1 at 4 C, which increased to ∼180 mAh g–1 after 1000 cycles. This capacity was two times higher than that of Ti2SC with micrometer-sized particles. The increasing capacity with cycling was considered evidence for the reversible intercalation of Li ions into Ti2SC, as confirmed by transmission electron microscopy and Raman spectroscopy. In addition to Ti2SC, other MAX phases, such as Ti3SiC2, also exhibit promising Li-ion storage capability. This work suggests that the MAX phases, a large family of more than 70 stoichiometric phases and numerous solid solutions, are promising anode materials for Li-ion batteries and capacitors.
Biological control of fruit flies: bibliometric analysis on the main biocontrol agents

The Tephritidae family has many fruit fly species responsible for causing direct and indirect damage to economically important fruit trees worldwide. Biological control has been sought as a method for the management of these insects, mainly because it does not cause adverse damage to the environment. Thus, this review sought information on what is currently being published in the scientific field about the main biological agents that are used to control fruit flies. The information was obtained through surveys between the months of June and August 2020, in bases such as the Web of Science, Scopus, ScienceDirect, Taylor & Francis, Springer, and Scielo. The inclusion of the articles followed criteria such as publication language English, Portuguese and Spanish, available in full, from categories A1 to B1, related to the biological agents used in the control of fruit flies and published in the last five years. A total of 2,362 studies were found, of which 105 articles were selected for this review. Regarding the years of publication, only 27% of the studies correspond to references from the years 2019 and 2020, with a greater number of research on parasitoids and developed in the laboratory. The largest concentration of research was in countries like Brazil, Mexico, and Spain.
A Dual-Band Orthogonally Polarized Contour Beam Transmitarray Design

A dual-band (12.5/14.25 GHz) orthogonally polarized contour beam transmitarray has been designed to accomplish the contour beam pattern for a European coverage region in both transmit and receive frequency bands. A quad-layer transmitarray unit cell configuration is optimized theoretically for an efficient dual-band operation. An orthogonally polarized 3-dipole unit cell with 360° phase range is used to control transmission phases at both frequencies independently. A modified intersection approach with a fast Fourier transform algorithm is used to optimize the aperture phase distribution of transmitarray at each frequency independently. An antenna prototype has been fabricated and tested. The measured contour beam patterns are in good agreement with the calculated patterns in both frequency bands. The measured minimum gains in the required coverage region are 25 and 25.3 dBi at 12.5 and 14.25 GHz, respectively.
Academic cheating in Ethiopian secondary schools: Prevalence, perceived severity, and justifications

Abstract The purpose of this study was to examine Ethiopian secondary school students’ level of engagement, justification, and perceived severity of academic cheating behaviors. A mixed research approach was employed. In the study, 1246 students randomly selected from public and private secondary schools participated. Data were collected using questionnaires and semistructured interviews. The findings revealed that the majority of students are actively engaged in most academic cheating behaviors with a prevalence rate of about 80%. It was also found that the majority of students exhibit higher tolerance for most forms of academic cheating behaviors which were evidenced by their lower perceptions of the seriousness of the behaviors. Less probability of being caught and the absence of severe punishment was found to be the major reasons that students gave to justify their engagement in academic cheating. It is suggested that school personnel look at the strength and application of their codes of conduct.
The Competitive Adsorption of Chromate and Sulfate on Ni-Substituted Magnetite Surfaces: An ATR-FTIR Study

With similar chemical properties and geometrical configurations, sulfate and chromate display interesting competitive adsorption on mineral surfaces. Although such issues have been investigated on several Fe (hydr)oxide surfaces, e.g., ferrihydrite, goethite and hematite, the competitive adsorption on magnetite surfaces and the constraint mechanism have seldom been studied. This impedes the understanding of the transfer and fate of chromate and sulfate on magnetite surfaces, as magnetite is not only a useful adsorbent but also an efficient reductant to decrease the mobility and toxicity of chromium. In the present study, the geometries of the competitive adsorption of chromate and sulfate on Ni-substituted magnetite surfaces over a pH range of 4–9 were investigated using in situ attenuated total reflectance Fourier transform infrared spectroscopy and two-dimensional correlation analysis. In individual adsorption, nonprotonated monodentate mononuclear (NMM) complexes dominated chromate adsorption, accompanied by a few bidentate binuclear (BB) complexes. For sulfate, NMM complexes and outer-sphere (OS) species predominated under acidic and neutral–alkaline conditions, respectively. The above variation in adsorption configuration resulted in the different adsorption competitiveness between chromate and sulfate at different pH values. Specifically, the NMM complexes of chromate were substituted by NMM sulfate complexes under acidic conditions and vice versa. However, under neutral and alkaline conditions, the OS species of sulfate scarcely affected the adsorption of chromate. The adsorption affinity of chromate and sulfate on Ni-substituted magnetite increased in the following order: OS complex (sulfate) < NMM complexes (chromate) < NMM complexes (sulfate).
Numerical study of graphene-platinum hybrid nanofluid in microchannel for electronics cooling

The objective of this paper is to numerically study the heat transfer and hydrodynamic performance of a graphene-based hybrid nanofluid flowing through a microchannel for electronics cooling applications. Different concentrations of Graphene-Platinum/water hybrid nanofluid were employed as coolants. The thermophysical properties used in this study were considered to be temperature-dependent. The microchannel was modeled as a porous media. The effect of nanoparticle volume concentration on thermal resistance, pressure drop, friction factor and ratio of heat transfer coefficient to pressure drop (Figure of merit) was analyzed and the plots were generated for different Reynolds numbers of the working fluid. The results pointed out that introduction of nanoparticles resulted in the lowering of thermal resistance. However, the pressure drop and friction factor increased. Figure of merit is found to be higher for higher concentrations of hybrid nanofluids compared to base fluid water. On analyzing the results, it was understood that the utilization of Graphene-Platinum/water hybrid nanofluid through microchannels can be highly effective in the laminar region. It also suggests that this graphene based nanofluid has excellent potential as a coolant to remove excess heat from miniature electronic devices.
Examining Taiwanese students’ views on climate change and the teaching of climate change in the context of higher education

ABSTRACT Background Although higher education continues to pay great attention to teaching climate change, relatively little is known about how university students understand and perceive climate change and its teaching and learning, and how their understanding and perceptions may change over the course of climate change instruction. Purpose The study was embedded in the context of a Taiwanese public university which has been actively integrating a climate change agenda into the curriculum. The purpose of the study was to examine students’ knowledge of and views on climate change and its teaching, and the influence of climate-related instruction on their knowledge and views. Sample A total of 146 university students were solicited through four semester-long general environmental studies courses, all of which included some climate change instruction. Design and methods Participating students completed both pre- and post-course surveys including Likert-type, multiple choice and open-ended questions for the purpose of examining their views about climate change and the teaching of this issue. Results The vast majority of students demonstrated a high level of certainty about the reality of the happening of global warming as well as concern about this issue. However, their actual knowledge about its causes was alarmingly poor, and action-related perceptions were rather negative. Participating in an environmental course had only a limited impact on their views; significant improvement was only observed in their subjective knowledge and concern about the issue. Nevertheless, students’ responses regarding university teaching about climate change exhibited a strong interest in and support for their university to take an active role in combating the problem. Conclusion These findings raise questions about the focus of, and approaches to, climate education in higher education, and serve as important basis for promoting curricular and instructional innovation in the field of climate change education.
Managers View on Impact of Covid-19 Pandemic: Evidence from Hotel Industry in Malaysia

2020 is an important year which had been waiting for by the hotel industry in Malaysia. With the exciting slogan “Visit Truly Asia Malaysia,” Malaysia was aimed by many to be one of the most chosen countries to be visited. This simultaneously gives a high hope to the hotel industry to generate more revenues. However, the COVID-19 pandemic has changed the hotel industry landscape tremendously. Therefore, the purpose of this research is to explore the impact of COVID-19 on the hotel industry in Malaysia. This study employed qualitative method and six hotel representatives were participated in this study. The interview data revealed experiences, voices, and opinions of the hotel informants on the impact of COVID-19. The informants also shared their immediate strategies and long-term plans in coping with the pandemic. In addition, the informants also shared information on the Tourism Stimulus Package offered by the Government that they have received.
Viscoelastic, thermal and environmental characteristics of poly(lactic acid), linear low-density polyethylene and low-density polyethylene ternary blends and composites

Abstract Poly(lactic acid) (PLA)/(linear low-density polyethylene (LLDPE)–low-density polyethylene (LDPE)) PLA/(LLDPE-LDPE) ternary blends were prepared and characterized as function of the PLA content. (50/50) PLA/(LLDPE–LDPE) blend was also compatibilized using maleic anhydride grafted low-density polyethylene (PE-g-MA) incorporated with a concentration of 5 wt. %. PLA/(LLDPE–LDPE) blend composites have been prepared by dispersing 5 wt. % of an organophilic montmorillonite (Org-MMT), added according to two different mixing methods. These materials were subjected to several investigations such as X-rays diffraction (XRD), dynamic mechanical thermal analysis (DMTA), differential scanning calorimetry, and environmental tests. In the PLA glassy region, DMTA results showed that the storage modulus of PLA/(LLDPE–LDPE) blends decreases upon decreasing the PLA content. When PE-g-MA and Org-MMT were added, PLA exhibited a noticeable increase in the storage modulus across the glass transition region due the interface reinforcement and the enhancement of the blends stiffness. The decrease in the magnitude of the PLA tan δ peak was attributed to the decrease in the molecular mobility that could result from the increase in the interfacial resistance. XRD analysis showed that the method of dispersion of the nanoclay controls the final structural properties of the composites. (50/50) PLA/(LLDPE-LDPE) blend and composites revealed a satisfactory aptitude to biodegradation.
SiGoba - Learning Media Based on Android Applications for Introducing Medicine’s Classes and Functions

In this covid-19 era pandemic, people are required to use computer technology to run the wheel of life, including learning something. Internet users, including smartphone users in Indonesia, are more than half of the population. Meanwhile, the body must be protected so that the body’s immunity is not susceptible to disease. If you are already sick, you must immediately be treated with the right medicine. If the use of drugs is not proper, surely the pain will get worse. But there are still many people who do not understand the class and function of drugs as they should. Therefore, this research develops an android-based application called SiGoba, an information system as a learning medium to recognize the class and function of drugs according to the Indonesian Drug Specialist Information (ISO). Drug data used are drugs commonly consumed by Indonesian people to treat minor ailments. This system was built using the waterfall model, with black-box testing. The system test results show that SiGoba has a function as a learning medium for recognizing drug classes and functions. We hope that SiGoba can be a learning media for the community so they can learn about how to use drugs according to their groups and functions, so it does not cause medication wrong. If this happens, it will have an impact on the recovery of the illness.
Chemical composition of essential oil of exudates of Dryobalanops aromatica

Purpose: To identify the chemical composition of essential oil from the exudates of Dryobalanops aromatica from Malaysia. Methods: Exudate was collected from D. aromatica and subjected to fractional distillation to obtain essential oil. Gas chromatography-mass spectrometry (GC-MS) was used to characterize the composition of the isolated essential oil. Results: The yield of essential oil was 7.58 %, with the highest yield (3.24 %) within the first 2 h of fractional distillation. Thirty compounds which accounted for 97.56 % of essential oil composition were identified. These include sesquiterpenes (46.87 %), monoterpenes (31.05 %), oxygenated monoterpenes (16.76 %) and oxygenated sesquiterpenes (2.13 %). Borneol accounted for 0.74 % of the essential oil. Conclusion: Essential oil from the exudates of D. aromatica contains terpenoid compounds and borneol.
Procyanidin composition of Chardonnay, Mauzac and Grenache blanc grapes

Dimer procyanidins, galloylated or not, and trimers were analysed in three white grape varieties: Chardonnay, Mauzac and Grenache blanc. Procyanidins were extracted from the different components of the grape cluster (seeds, stems, skins and pulps) and then quantified by HPLC. Procyanidin B 1 is the major component in stems and skins while procyanidin B 2 is the major component in seeds.
Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction

Semi-supervised learning as one of most attractive problems in machine learning research field has aroused broad attentions in recent years. In this paper, we propose a novel locality preserved dimensionality reduction framework, named Semi-supervised Adaptive Local Embedding learning (SALE), which learns a local discriminative embedding by constructing a <inline-formula><tex-math notation="LaTeX">$k_1$</tex-math><alternatives><mml:math><mml:msub><mml:mi>k</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math><inline-graphic xlink:href="wang-ieq1-3049371.gif"/></alternatives></inline-formula> Nearest Neighbors (<inline-formula><tex-math notation="LaTeX">$k_1$</tex-math><alternatives><mml:math><mml:msub><mml:mi>k</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math><inline-graphic xlink:href="wang-ieq2-3049371.gif"/></alternatives></inline-formula>NN) graph on labeled data, so as to explore the intrinsic structure, i.e., sub-manifolds from non-Gaussian labeled data. Then, mapping all samples into learned embedding and constructing another <inline-formula><tex-math notation="LaTeX">$k_2$</tex-math><alternatives><mml:math><mml:msub><mml:mi>k</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math><inline-graphic xlink:href="wang-ieq3-3049371.gif"/></alternatives></inline-formula>NN graph on all embedded data to explore the global structure of all samples. Therefore, the unlabeled data and their corresponding labeled neighbors can be clustered into same sub-manifold, so as to improve the discriminative power of embedded data. Furthermore, we propose two semi-supervised dimensionality reduction methods with orthogonal and whitening constraints based on proposed SALE framework. An efficient alternatively iterative optimization algorithm is developed to solve the NP-hard problem in our models. Extensive experiments conducted on several synthetic and real-world data sets demonstrate the superiorities of our methods on local structure exploration and classification task.
BP Neural Network for the Signal Recognition of Micro-Energy Devices

The recognition of electrical energy generated by different micro-energy devices is a key step for effective energy management in the integrated microsystems. In this paper, we present an improved Backpropagation Neural Network (BPNN) model in conjunction with principle component analysis (PCA) and Levenberg-Marquadt (LM) algorithm. The open-circuit voltage curves containing the noise characteristics from three different types of micro-energy device including radio frequency energy harvester (RFEH), solar cell (SOR), vibration energy harvester (VEH) are used as input vector for classification model training and validation. The classifier of our model achieves a recognition accuracy of 100%, 91.8%, 83.1% for RFEH, SOR and VEH, respectively. These results indicate that our model is valid for energy recognition for these micro-energy devices and may further apply for hybrid energy management in smart systems such as wireless sensor networks (WSN).
2D zirconium-based metal-organic framework nanosheets for highly sensitive detection of mucin 1: consistency between electrochemical and surface plasmon resonance methods

Two-dimensional (2D) zirconium-based metal-organic framework (denoted as 521-MOF) nanosheets with the thickness of 6.0–7.5 nm were prepared with the aid of polyvinyl pyrrolidone (PVP) under the mild conditions and low temperature (50 °C). Since 521-MOF nanosheets displayed good electrochemical activity, high surface area, and strong affinity interaction between the MOF and the oligonucleotides sequences, they can impel the immobilization of large amounts of aptamer strands when applied as a platform of biosensor. As a result, the developed aptasensor exhibited sensitive bio-recognition for the cancer determination marker protein, mucin 1 (MUC1). The combination of electrochemical techniques and surface plasmon resonance spectroscopy (SPR) was performed to probe the kinetic processes of the aptamer immobilization and the MUC1 detection. The consistency between different determination approaches was observed, in which the developed aptasensor based on 521-MOF nanosheets exhibits pretty high sensitivity for detecting MUC1 with a low detect limit of 0.12 and 0.65 pg·ml−1 deduced from electrochemical impedance spectroscopy and SPR, respectively, within the broad concentration range of MUC1 from 0.001 to 0.5 ng·ml−1. Simultaneously, a comparable affinity constant, Ka, was derived from EIS and SPR, which also demonstrates that this new biosensing strategy has high selectivity, stability, reproducibility, and good applicability for the MUC1 detection in the human serum. The present finding indicates that the synthesized 521-MOF nanosheets can be employed in the fields of the biosensing or biomedical diagnosis and explored for different kinds of biosensors.