Miracle-dz/UniFAR-FTUs huggingface dataset:
Multilayer Self-defense System to Protect Enterprise Cloud

A data breach can seriously impact organizational intellectual property, resources, time, and product value. The risk of system intrusion is augmented by the intrinsic openness of commonly utilized technologies like TCP/IP protocols. As TCP relies on IP addresses, an attacker may easily trace the IP address of the organization. Given that many organizations run the risk of data breach and cyber-attacks at a certain point, a repeatable and well-developed incident response framework is critical to shield them. Enterprise cloud possesses the challenges of security, lack of transparency, trust and loss of controls. Technology eases quickens the processing of information but holds numerous risks including hacking and confidentiality problems. The risk increases when the organization outsources the cloud storage services through the vendor and suffers from security breaches and need to create security systems to prevent data networks from being compromised. The business model also leads to insecurity issues which derail its popularity. An attack mitigation system is the best solution to protect online services from emerging cyber-attacks. This research focuses on cloud computing security, cyber threats, machine learning-based attack detection, and mitigation system. The proposed SDN-based multilayer machine learning-based self-defense system effectively detects and mitigates the cyber-attack and protects cloud-based enterprise solutions. The results show the accuracy of the proposed machine learning techniques and the effectiveness of attack detection and the mitigation system.
Diatom diversity and seasonality in two rivers in Serbia

During the four seasons of investigation in the Rača and Studenica rivers (spring 2011, summer 2011, winter 2011 and spring 2012) 171 and 190 epilithic diatoms were recorded, respectively. The most numerous genera in both rivers were Gomphonema, Navicula, and Nitzschia. Of total recorded taxa 11 are new for the diatom flora of Serbia. The highest species diversity was in spring, while the lowest was during the summer and winter periods. In almost all seasons Cocconeis lineata occurred with the highest frequencies in the Rača River. In the Studenica River epilithic diatom community was dominated by Achnanthidium pyrenaicum, except in winter 2011 and spring 2012 when Diatoma moniliformis and Gomphonema species were the most abundant diatoms, respectively. The regular pattern of diatom succession was not recorded in two investigated rivers.
Advanced Network Representation Learning for Container Shipping Network Analysis

With the increase of international trade activities, the dependence on container shipping is also increasing. The efficiency of container shipping activities will directly affect the trade exchanges between countries. However, traditional network analysis methods face many challenges, such as large-scale, highly dynamic and multi-dimensional issues. To this end, in this article, after reviewing existing network-based analysis methods and their limitations, we introduce the advanced network representation learning technology for container shipping network analysis. To demonstrate the effectiveness of the network representation learning based method, we perform a case study on container shipping network clustering, and the positive results demonstrate the potential of allying network representation learning for container shipping network analysis.
Analgesic and antiinflammatory activities of the capilliposide derived from Lysimachia capillipes Hemsl., a traditional Chinese medicinal herb

Pain and inflammation are associated with the pathophysiology of different clinical conditions. The Lysimachia capillipes Hemsl. capilliposide (LCc) is the main bioactive component of this Chinese medicinal herb, which is widely used as a remedy for the treatment of colds and arthritis. This study investigated the analgesic and antiinflammatory activities of LCc in an animal model. LCc had no significant influence on the spleen, lung, liver and stomach coefficients in mice. Pharmacological studies showed that LCc at all doses (40, 60 and 90 mg/kg) increased the latency period of paw licking induced by thermal stimulation, and at the dose of 40 mg/kg it significantly suppressed abdominal writhing episodes of mice induced by intraperitoneal (i.p.) injection of acetic acid. LCc also had antiinflammatory effect on inflammation models. Doses of 60 and 90 mg/kg suppressed paw edema induced by subcutaneous (s.c.) injection of carrageenan. Mechanistic studies revealed that the antiinflammatory effect of LCc was associated with inhibition of the production of malondialdehyde (MDA), prostaglandin E2 (PGE2), tumor necrosis factor (TNF-? ), cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2) in paw tissue of carrageenan-injected mice. These results show that LCc has analgesic and antiinflammatory effects in mice.
Stability of highly dispersed Ni/Al2O3 catalysts : Effects of pretreatment

Oxidic and reduced and passivated Al2O3-supported nickel catalysts with loading up to 19.3 wt% were characterized by temperature-programmed sulfiding (TPS), temperature-programmed reduction (TPR), and X-ray photoelectron spectroscopy. The oxidic catalyst precursors contain a highly disperse nickel species consisting of either an oxidic core and ahydroxide outer layer or a hydroxide as a whole, dependent on the Ni loading. The crystallite size of the active phase varies between 0.4 and 1.6 nm. This high dispersion was maintained during sulfidation. From TPR and TPS, it is inferred that no nickel aluminate is present. During reduction and passivation the crystallite size increases to 1.3–2.5 nm. From TPR of the oxidic catalyst it was concluded that the active phase contained more oxygen than that corresponding to the stoichiometry of NiO since an excess of hydrogen of 20–50% was consumed for the removal of the reactive oxygen species.
An assessment of the accuracy of the RRIGS hydration potential: Comparison to solutions of the Poisson–Boltzmann equation

A rapid, pairwise hydration potential, the reduced radius independent Gaussian sphere (RRIGS) approximation, has been presented recently. Because experimental values of the conformational dependence of the hydration free energy are unavailable, this hydration potential is testable by comparison to a presumably more accurate (yet more computationally intensive) model. One such method is the electrostatic hydration approach, which models the protein as a collection of point charges in a low‐dielectric medium and the solvent as a high‐dielectric continuum. The electrostatic free energy can be determined by solving the Poisson–Boltzmann equation, which is carried out with the program DelPhi. The total free energy of hydration is calculated by adding a free energy of cavity formation term to this electrostatic term. Comparison is made for many conformations of two proteins, bovine pancreatic trypsin inhibitor (BPTI) and the carboxy‐terminal fragment of the L7/L12 ribosomal protein (CTF). Thirty‐nine near‐native structures of BPTI, previously generated by Ripoll and coworkers, and 150 conformations of CTF, generated by a threading algorithm to cover a wide range of conformational space, were used in these comparisons. It is shown that, for the neutral forms of these proteins, the RRIGS hydration potential correlates very well with the electrostatic model hydration free energy, although the correlation is better for the CTF conformations than for the near‐native BPTI conformations. For charged forms, the correlation is much poorer. These results serve as evidence that solvent‐exposure models of hydration, which leave out cooperative effects between different groups, may be appropriate for modeling neutral or slightly charged species, because these cooperative effects are likely to be small. However, for highly charged species where cooperative effects are surely large, such an approach will be less accurate. © 1997 John Wiley & Sons, Inc. J Comput Chem 18:1072–1078, 1997
On the Uplink Transmission of Extra-Large Scale Massive MIMO Systems

With the inherent benefits, such as, better cell coverage and higher area throughput, extra-large scale massive multiple-input multiple-output (MIMO) has great potential to be one of the key technologies for the next generation wireless communication systems. However, in practice, when the antenna dimensions grow large, spatial non-stationarities occur and users will only see a portion of the base station antenna array, which we call visibility region (VR). To assess the impact of spatial non-stationarities, in this paper, we investigate the uplink transmission of extra-large scale massive MIMO systems by considering VRs. In particular, we first propose a subarray-based system architecture for extra-large scale massive MIMO systems. Then, tight closed-form uplink spectral efficiency (SE) approximations with linear receivers are derived. With the objective of maximizing the achievable SE, we also propose schemes for the subarray phase coefficient design. In addition, based on the obtained ergodic achievable SE approximations, two statistical channel state information (CSI)-based greedy user scheduling algorithms are developed. Our results indicate that the statistical CSI-based greedy joint user and subarray scheduling algorithm collaborating with the on-off switch-based subarray architecture is a promising practical solution for extra-large scale massive MIMO systems.
Scheduling Channel Access Based on Target Wake Time Mechanism in 802.11ax WLANs

Trend of dense deployment of 802.11 WLANs makes it urgent to design effective and efficient channel access schemes. IEEE 802.11ax standard for the next generation WLAN introduces the orthogonal frequency division multiple access (OFDMA) mechanism that supports downlink and uplink multi-user transmissions over multiple resource units (RUs). In this paper, we, integrating the multi-user transmissions with the target wake time (TWT) mechanism, propose the Scheduling Channel Access with TWT (SCAT) scheme. The SCAT wakes up stations (STAs) no more than the number of RUs in each target beacon so that the channel can be accessed on schedule without contention. Additionally, we develop a mathematical model to derive the throughput and delay arising from sleeping (DAFS) under the SCAT, which are used to formulate the throughput maximization problem (TMP) subject to delay constraint. Then, the TMP is solved by the genetic algorithm in which a tree is chosen as a chromosome. The solution to the TMP enables the SCAT to assign the optimal listen intervals and the next target beacons to the STAs so that the maximum throughput is achieved. Simulation results show the SCAT outperforms the existing schemes in throughput, channel utilization, and energy efficiency.
Influence of Relative Humidity on Ethylene Removal Using Dielectric Barrier Discharge

Ethylene gas was decomposed using a dielectric barrier discharge (DBD) plasma reactor for the long-term preservation of fruits and vegetables with a focus on the influence of humidity on ethylene decomposition efficiency. DBD is actively used to produce nonthermal plasma, which is effective in converting C<sub>2</sub>H<sub>4</sub> into CO<sub>2</sub> and H<sub>2</sub>O, through an oxidization process with a high reaction rate because the nonthermal plasma in air contains a large number of chemically active species such as atomic oxygen radicals (O) and hydroxyl radicals (OH). This production of radicals depends on the level of humidity in the air. During the experiment, C<sub>2</sub>H<sub>4</sub> gas was diluted by 200 ppm with an N<sub>2</sub> and O<sub>2</sub> gas mixture and was fed into the DBD reactor at a 3 L/min gas flow rate. The relative humidity (RH) of the gas was adjusted by the bubbling gas through water. The gas temperature was fixed at 25 °C. The experimental results showed that C<sub>2</sub>H<sub>4</sub> decomposition efficiency was almost independent of RH.
Implementation of Two-Level Coordinated Control for Seamless Transfer in Standalone Microgrid

This article presents control strategies developed with two-level coordinated and double loop control for a standalone microgrid. The interfacing inverter is controlled to perform multifunctions. It incorporates the compensation for power quality problems at the point of common coupling and controls the voltage and frequency deviation to provide a constant voltage and frequency to connected ac loads in standalone and grid-connected operating modes. The power demand during battery charging and discharging is controlled using a buck–boost converter. To control overshoot and settling time while following a dc and sinusoidal references without losing control during the transition, proportional-integral, and proportional-resonant controllers with optimal gain designs are reinforced by antiwindup feedback. To ensure a soft and secure transition, even under disturbances, such as distortions and notches, an enhanced phase-locked loop is used. The performance of this system is simulated in MATLAB and validated on a 2-kW laboratory prototype.
Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach

Crowdsourced navigation is becoming the prevalent automobile navigation solution with the widespread adoption of smartphones over the past decade, which supports a plethora of intelligent transportation system services. However, it is subjected to Sybil attacks that inject carefully designed adversarial GPS trajectories to compromise the data aggregation system and cause false traffic jams. Successful Sybil attacks have been launched against real crowdsourced navigation systems, yet defending such critical threats has seldom been studied. In this work, a novel deep generative model based on Bayesian deep learning is devised for Sybil attack identification. The proposed model exploits time-series features to embed trajectories in a latent distribution space, which serves as a basis for identifying ones generated by Sybil attacks. Case studies on three real-world vehicular trajectory datasets reveal that the proposed model improves the performance of state-of-the-art baselines by at least 76.6%. Additionally, a hyper-parameter test develops guidelines for parameter selection, and a fast training scheme is proposed and assessed to boost the model training efficiency.
Highly Ordered TiO2 Nanotube Array Electrode for Photoelectrochemical Sensing Application

Highly ordered TiO2 nanotube arrays were prepared through a two-step anodization of Ti foil. XRD and FESEM experiments were performed to characterize the morphology and crystalline phase of the TiO2 nanotube arrays. The effects of potential bias and UV light intensity on photoelectrocatalysis were examined using TiO2 nanotube arrays as working electrode in photoelectrochemical measurements. The results showed that a positive potential contributed to higher responses which were linearly related to UV illumination intensities. Steady-state photocurrent was employed as response signal in detecting the organic compounds to demonstrate the suitability of the TiO2 nanotube arrays for organics-sensing application.
A Comparative Study of Opinion Summarization Techniques

In the Web 3.0 platforms, enormous amount of information is shared whereby individuals express their thoughts and opinions and learn from others’ experiences. Many e-commerce websites provide service of posting opinionated reviews to allow consumers post their opinions using free text. Examples of these e-commerce websites include eBay, Amazon, and Yahoo shopping. Summarizing text is taken as an interesting task of Natural Language Processing (NLP). The proposed work presents a comparative study of different techniques used for opinion summarization. It covers both abstractive and extractive approaches where summary of sentences is achieved by considering aspects. This article highlights the gaps in the previous study by proposing a novel graph-based technique for generating abstractive summary of duplicate sentences. The method discusses the details by constructing graphs, ensuring the sentence correctness using some constraints, and finally scoring the sentences individually by fusing sentiments using SentiWordNet. Extractive approach uses the principle of principal component analysis (PCA). The work includes the application of PCA in summarization of text by reducing the number of dimensions in data (aspects) and relatively finding the summary of the reviews on ranking the most relevant ones, according to the prime aspects without any loss of information respective of a particular domain. The analysis is conducted on the standard Opinosis data set and comparison is made between both of the techniques to discuss which method generates more coherent and complete summary.
Crop diversification analysis amongst smallholder farmers in Kenya(empirical evidence from Kamariny ward, Elgeyo Marakwet County)

Abstract Crop diversification is a predominantly important coping mechanism for income, production and marketing risks in agriculture. This paper examines the determinants of crop diversification and their gross margins. The study drew a sample of 72 smallholder farmers’ through a multistage sampling technique. The primary data were collected using semi-structured questionnaires and analyzed using descriptive, gross margin, and logistic regression. Gross margin results revealed a significantly higher value of revenues for diversified cropping systems of farming (KES.54, 583.33) compared to non-diversified (KES.37, 250). The factors that influenced crop diversification were age, education of household head, type of crops, cropping system, amount of credit, and irrigation facilities. Based on our findings, the study suggests the need for the Government to promote the development of agricultural policy that supports the shift from non-diversification to crop diversification through developing guaranteed access to inputs and subsidies on farming input resources with priority given to smallholder farmers. Incorporation of both short and long duration crops. Strengthening of extension services with more training services focusing on cropping systems, viable crop enterprises, return from the different types of crops, needs and access to credit and irrigation facilities, and linking farmers to the market through farmers’ group formation.
Illustrating thermodynamic concepts using a hero's engine

A modified Hero's engine is used to illustrate concepts of thermodynamics and engineering design suitable for introductory chemistry courses and more advanced physical chemistry courses. The engine is a boiler made of Pyrex with two off-center nozzles. Upon boiling, the vapor exits the nozzles, creating two opposite, off-center forces that result in a circular motion by the engine around the vertical axis. The engine is suspended from a horizontal bar by means of two parallel threads. The rotation of the engine results in the twisting of the threads, with two important effects: the engine is raised vertically, and potential energy is stored in the coiling of the threads. When the engine is raised, it is removed from the heating source. This stops the boiling. The stored potential energy is then released into kinetic energy; that is, the threads uncoil, and the engine rotates in the opposite direction. This lowers the engine into the flame, so the water resumes boiling and the engine can be raised again. T.
Evaluating the Role of Dividends Paid Out Ratio as a Signal of Quality of Selected Banks Listed on Nigerian Stock Exchange

This study examined the relationship between bank dividend policy and bank quality rating. Empirical evidence shows that bank management uses its dividend policy as a vehicle for signaling its financial health to the investing public. Using the regression models, this study showed that an inverse relationship exists between quality and dividends as a percent of earnings, because those banks like Zenith and UBA despite lower dividends as a percent of earnings exhibited better quality. The result clearly points to the facts that retained earnings are a key source of capital for banking institutions and that capital position provides information about institutional soundness or, alternatively, risk. This study also recommends that depositors, shareholders, and creditors can acquire information about the overall quality of a bank by examining both aspects of a bank’s dividend policy. Keywords: Evaluation, dividends payout ratio, signaling, quality, banks, Nigerian stock exchange DOI: 10.7176/RJFA/11-17-15 Publication date: October 31 st 2020
Development of a Taxonomy of Policy Levers to Promote High Quality School-Based Counseling

There is a lack of an established framework or taxonomy in the academic literature to systematically analyze school counseling policies. This study was conducted to fill in this gap. Specifically, the researchers propose an initial taxonomy developed based on review of relevant school counseling policy documents and research. The proposed taxonomy has 21 policy levers grouped under seven policy foci covering school counselors’ initial competence, continuing competence, effective school counseling practices, planning and evaluation of school counseling, distinct school counselor roles, hiring of school counselors, and the continual improvement of school counseling system. The Taxonomy is still in a developmental stage with a focus on improving its comprehensiveness through studies that identify additional policy levers from different countries. The authors also invite other academics and practitioners to conduct case studies using the taxonomy that will provide important knowledge to further improve the taxonomy.
Isolation of wild yeasts from soils collected in Pochoen-si, Korea and characterization of unrecorded yeasts

In 2019, 20 strains were isolated from diverse soil samples collected in Korea. Among them four species were unreported in Korea. The current report focuses on the description of four unreported yeast species that have not officially been reported in Korea. The 20 strains were assigned to the genera Aureobasidium (1 strain) and Meyerozyma (1 strain) of the phylum Ascomycota and Cystofilobasidium (2 strains), Filobasidium (1 strain), Naganishia (2 strains), Bullera (3 strains), Leucosporidium (9 strains) and Sampaiozyma (1 strain) of the phylum Basidiomycota. Among them eight yeast strains YP204, YP205, YP211, YP215, YP189, YP196, YP329 and YP76 are unreported strains, belong to the genus Leucosporidium. The species of Leucosporidium reproduce by budding. Cells are ovoid, ellipsoid or elongate. Pseudohyphae or true hyphae may be present. Ballistoconidia are not formed. Growth on solid media is white to cream colored and often mucous. Visible carotenoid pigments are not present (Sampaio, 2011b). The yeasts of the genera Leucosporidium (teleomorph) and Leucosporidiella (anamorph) are classified in the order Leucosporidiales (Microbotryomycetes, Pucciniomycotina; Sampaio et al., 2003; 2004; Sampaio, 2011a; 2011b). Most of the yeast species of these genera are psychrotolerant or psychrophilic organisms, and they have been isolated from rather cold environments around the world, including marine Antarctic ecosystems and terrestrial areas (Di Menna, 1960; 1966; Fell et al., 1969; Goto et al., 1969; Carrasco et al., 2012; Duarte et al., 2013; Vaca et al., 2013).