Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Way to Evaluate Products with Reviews: A Case Study of A Hair Dryer on Amazon Platform

The era of big data is coming. How to make effective use of users’ feedback information data is the key to success in various online industries. In order to help target enterprise enter the market, we build a comprehensive rating evaluation model that can evaluate the sales status, future development and contain comprehensive indicators. We firstly study the one-dimensional index. We adopt the method of correlation analysis to find the ripple effect of star rating. Then we use SPSS to draw scatter plots to analysis correlation between specific quality description and star rating level. We found through the research that “star rating”, “comment validity”, “positive and negative indicator in comments” and “member effect” are all informative for target enterprise to track, and will determine the market development of the product to a certain extent. We take advantage of the machine learning to turn the information in the text into quantifiable metrics and get polarity and subjectivity. Use NLTK for sentiment analysis of each comment to get negative, positive, neutral and compound value. Then use AHP to assign weight to the indicators wisely. With the comprehensive rating evaluation model that we build, we calculate the comprehensive rating value of all products in this industry and take the median as the benchmark value, then the products with the comprehensive rating value higher than the benchmark value can be regarded as successful products. We provide an accurate assessment. In order to effectively evaluate and predict the future sales trend of new products after their launch and effectively measure the increase and decrease of product market reputation, we establish a time-based measurement and prediction model based on Grey model theory. We can use the model to make comprehensive evaluation and effective prediction of the target company’s products. After inspection, our model can be effectively applied to different sales fields, which has great practical significance.
Metabolomics profiling and antimicrobial activity of fermented date fruit (Khastawi) used as functional ingredients for making Asian confectionary (Dodol)

Abstract Date fruit (Phoenix dactylifera) have long history in food application due to the nutritional value, pleasant flavour and biological activity. This study aimed at investigating the antimicrobial activity of date fruits fermented with Lactobacillus plantarum ATCC8014. The fermented date fruit was added as ingredient for confectionary making and evaluated for it is effects on the physiochemical properties and shelf life of toffee-like South Asian product (Dodol). The results showed broad range antifungal activity of fermented date fruit towards Aspergillus niger (90.85%), Aspergillus flavus (92.86%) Escherichia coli (13 mm) and Staphylococcus aureus (15 mm). The identified bioactive metabolites included propylene glycol (0.028 mmol mL−1), lactic acid (0.763 mmol mL−1), acetic acid (0.292 mmol mL−1), acetoin (0.046 mmol mL−1) and gamma-Aminobutyric acid (0.041 mmol mL−1). Fermented date fruit (125 g/kg) significantly (p < 0.05) extended the shelf life of Dodol for 19 days at 25 ± 2 °C in comparison to the control that showed mould growth after 12 days. The microbial growth was significantly reduced in the modified Dodol. A significant influence was observed in the physiochemical properties for modified Dodol such as increasing moisture and water activity and reducing the product firmness. No significant differences (p ≥ 0.05) were observed for the consumer acceptability between traditional and modified Dodol. The results indicated that the high antifungal activity is due to the presence of several bioactive metabolites. Moreover, the findings indicated the promising applications of fermented date fruit as functional ingredient to improve quality and the shelf life stability for confectionaries.
Association of Subclinical Coronary Artery Disease and Ischemic Stroke Caused by Cervical or Intracranial Atherosclerosis

Background: Coronary calcium score (CAC) is a marker of coronary atherosclerosis. We compared CAC scores in patients with ischemic stroke (IS) caused by large-artery atherosclerosis (Groupathero) to a control group (Groupcontrol), in multiethnic subjects without history of symptomatic coronary artery disease (CAD). Methods: In this cross-sectional study, subjects in Groupathero (n=80) had at least one symptomatic stenosis ≥ 50% in the carotid or vertebrobasilar territories. Groupathero included two subgroups: stenosis in either cervical or intracranial arteries (GroupExtraorIntra), and in at least one cervical and one intracranial artery (GroupExtra&Intra). Subjects in Groupcontrol (n=40) had no history of stroke or stenosis ≥ 50% in cervical or intracranial arteries. Frequencies of CAC ≥ 100 and CAC > 0 were compared between the groups and subgroups by bivariate logistic regressions. Multivariate analyses were also performed. Results: Rates of CAC ≥ 100 were not significantly different between Groupathero and Groupcontrol but were significantly greater in GroupExtraI 1.21-18.04; p = 0.025). CAC > 0 was significantly more frequent in Groupathero (85%) than Groupcontrol (OR, 4.19; 1.74-10.07; p = 0,001). In multivariate analyses, “Groupathero” and “GroupExtra&Intra” was significantly and independently associated with CAC. Conclusions: The frequency of coronary calcification was higher in subjects with atherothrombotic stroke without symptoms of coronary disease than in controls with similar vascular risk factors. In patients with stroke, the burden of subclinical CAD was significantly higher in those with cervical and intracranial atherosclerosis.
A mini review on the associations of matrix metalloproteinases (MMPs) -1, -8, -13 with periodontal disease

Matrix metalloproteinases (MMPs) are one of the most important endopeptidases in periodontal disease that generally degrade extracellular matrix (ECM) components of periodontal supporting tissues, leading to tooth loss. Among the MMP family, MMP-1, -8 and -13, which are also known as the collagenase group, play a vital role in the degradation of ECM collagen and non-collagen substances. Elevated levels of MMP -1, -8 and -13 are markedly significant within tissue, gingival crevicular fluid (GCF), and saliva of patients with periodontitis, which help to explain the progression pattern of the disease. This review provides an overview of MMP -1, -8, and -13 on their structures, functions and their critical role in periodontitis.
Dechlorination mechanism of 2,4-dichlorophenol by Ni/Fe nanoparticles in the presence of humic acid

To understand the feasibility of its application to the in situ remediation of contaminated groundwater, the dechlorination of 2,4-dichlorophenol (2,4-DCP) by Ni/Fe nanoparticles in the presence of humic acid (HA) was investigated. We found that, as high performance liquid chromatography (HPLC) was used, the 2,4-DCP was first quickly reduced to o-chlorophenol (o-CP) and p-chlorophenol (p-CP), and then reduced to phenol as the final product. Our experimental results indicated that HA had an adverse effect on the dechlorination of 2,4-DCP by Ni/Fe nanoparticles, as the HA concentration increased, the removal rate decreased evidently. It also demonstrated that 2,4-DCP was reduced more easily to o-CP than to p-CP, and that the sequence of the tendency in dechlorination of intermediates was p-CP>o-CP. Transmission electron microscope (TEM) showed that HA could act as an adsorbate to compete reactive sites on the surface of Ni/Fe nanoparticles to decrease the dechlorination rate. Also we concluded that the dechlorination reaction of 2,4-DCP over Ni/Fe nanoparticles progressed through catalytic reductive dechlorination.
Keeping Cell Selection Model Up-to-Date to Adapt to Time-Dependent Environment in Sparse Mobile Crowdsensing

Sparse mobile crowdsensing (MCS) requires participants to collect data from partial cells and then intelligently infer the data of the rest cells. Since collecting data from different cells will probably result in different data inference quality, cell selection (i.e., which cells need to be selected to collect data) is a critical issue in Sparse MCS. Currently, state-of-the-art cell selection algorithms are implemented based on reinforcement learning. These algorithms ignore the problem that the urban environment is usually time dependent, and the cell selection model needs to be kept up-to-date to adapt to the time-dependent environment. However, Sparse MCS applications require participants to collect data only in a few cells, which makes it hard to obtain suitable training data for continuous cell selection model learning. To solve this problem, we model the spatiotemporal correlations in the collected sparse data, and then design various methods to update training data based on it. Particularly, these methods make full use of the gradual changes of data in time and space, and reasonably transform and splice sparse data at different moments. Finally, updated training data is fed to the cell selection model to keep it up-to-date. We conduct experimental evaluations by performing several sensing tasks in air quality monitoring. The results show that our proposed methods can effectively update training data as well as the cell selection model. Compared with several baselines, our best method can reduce inference error by more than 10% on average.
Intrusion Detection Systems in RPL-Based 6LoWPAN: A Systematic Literature Review

Drastic reduction in the manufacturing cost of sensors and actuators has resulted in considerable growth in the number of smart objects. The so-called Internet of Things (IoT) blends the real and virtual environments and removes time and distance barriers. It is widely perceived as a major enabler for the efficient and effective provision of services across a range of sectors. It has naturally attracted the interest of cyberattackers. Due to the heterogeneity, resource-constraints, scale, and internet connectivity of IoT devices, each IoT layer is prone to various threats. Intruders consider the network layer of IoT as the gateway and leverage vulnerabilities in the routing protocol to compromise the Confidentiality, Integrity, and Availability (CIA) of connected nodes. Researchers have proposed different security infrastructures to mitigate harm to IoT networks. One of these is the Intrusion Detection System (IDS). An IDS is an essential component for the network security layer and is widely adopted to reinforce the security of the IoT network. This systematic literature review explores the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) and its existing threats, classifies relevant IDS techniques and identifies areas requiring further investigation. We review 103 published papers in this domain.
Determining the Operator for the Public Toll Road

After the BOT road operation contract expires, generally, the road will be transferred to the government, and then the government operates the road independently without charging costs from its users. Facing the huge amount of the operation cost, Chinese government tends to continue to charge the road users to guarantee the high quality of road operation. Then, the government will have to decide whether a private firm or government itself would be suitable to operate the road. A model is presented for decision-making through balancing interests between the government and the private firm with an introduction of an intermediate variable, i.e., bidding price. Three scenarios are investigated in the model, including the optimization of government operation, the optimization of private firm operation, and government operation with an improper decision of the intermediate variable. Improper intermediate variable will result in a higher toll charged by the government than by a private firm. The method of avoiding an improper decision is investigated. The result shows that the intermediate variable should be determined to be the government operation cost, based on which the private operator could be chosen, if available. With consideration of the private operator’s profit to be guaranteed by the government, the maximum subsidy should be equal to the minimum private operator’s profit to be disclosed when the contract is signed.
Synthesis, characterization and antimicrobial activity applications of grafted copolymer alginate-g-poly(N-vinyl imidazole)

N-Vinyl imidazole was grafted onto sodium alginate (PNVI-g-NaAlg) through a free radical polymerization technique in aqueous solution using potassium persulfate (K2S2O8, KPS) initiator material. The conditions of the grafting process onto sodium alginate were adjusted to obtain a grafted copolymer with a high percentage of poly(N-vinyl imidazole). The prepared grafted copolymer sodium alginate (NaAlg-g-PNVI), with high percentage yield, was investigated and characterized under certain conditions in order to detect its antibacterial effect. The prepared grafted copolymer was considered by means of several systems such as Fourier-Transform Infrared spectroscopy (FT-IR), 1H NMR spectroscopy and thermal analysis. The change in the morphology of the alginate distinguished after the grafting process was confirmed using a Scanning Electron Microscope (SEM). The biological activity of the grafted material was considered using Escherichia coli, Neisseria gonorrhoeae (Gram-negative), Bacillus subtilis (Gram-positive) and Candida albicans antifungal activities through the agar diffusion method. The obtained results show excellent improvement in antimicrobial activity of the alginate by grafting against Bacillus subtilis, Escherichia coli, Neisseria gonorrhoeae, and Candida albicans.
Ethical Consumerism and Glass Box Branding: When Companies’ Actions Speak Louder Than Words

Ethical consumerism has been on the rise in the last few years as consumers are focusing more and more on spending their money in a way that aligns with their values and beliefs. At the same time, technological innovation and increased connectivity through social media are helping consumers in their quest for conscious consumption choices. As a consequence, companies that once used to be black boxes are now becoming glass boxes, meaning that their internal cultures and processes become visible to consumers who are proactively choosing who to do business with. Consumers are now able to see how companies source their materials, treat their employees, and more generally, how ethically they behave within company walls and with society at large. The increased transparency companies face coupled with increasing consumers’ demands could be seen as a threat, but also as an opportunity. This case urges readers to focus on the possibilities that these trends offer to business in various industries.
The effect of cold plasma on the enzymatic activity and quality characteristics of mango pulp

The ability to produce cold plasma in the atmosphere provides new opportunities for the decontamination of biological materials including fresh food. This technology is also used to inactivate endogenous enzymes, especially polyphenol oxidase and peroxidases, which are responsible for browning reactions. This study investigated the effect of Dielectric Barrier Discharge Plasma (DBDP) on the inactivation of enzymatic activity and some quality parameters in mango pulp. Results showed that DBDP treatment up to 10 min resulted in a reduction of polyphenol oxidase (10.85%), peroxidase (5.15%), and pectin methyl esterase (5.25 %) activities, aerobic plate count (16.6%), and yeast and mold count (18.8%) activities. An improvement was observed in physicochemical (especially viscosity and firmness values) and phytochemical (i.e. ascorbic acid, total phenol content) profiles as well as color values with increase DBDP treatment time until 6 min. This study provides the impact of DBDP time on the enzymatic activities and quality characteristics (especially phytochemical profiles) of mango pulp. Therefore, it is possible to use it as a new non-thermal alternative technology for pasteurizing mango pulp instead of thermal treatment.
Modeling and Analysis of Polarized Couplers under Misalignment for Electric Vehicle Wireless Charging Systems

Wireless power transfer (WPT) is becoming popular increasingly in stationary electric vehicle (EV) charging. Various coil structures were proposed to improve the coupling characteristics, and polarized couplers have been proven to have better performance. Considering the varying spatial scales of transmitting and receiving, coils will alter the mutual inductance, further affecting the output power and transmission efficiency; therefore, it is crucial to calculate the mutual inductance of polarized couplers with variable offset for WPT system design. However, given the complex structure and the various excitation conditions of polarized couplers, the solving process based on the finite element model is time-consuming and resource intensive, therefore it is necessary to develop analytical models of mutual inductance for polarized couplers under misalignment. In this paper, the analytical models of the two commonly used polarized couplers with a Double-D polarized coil (DDP) or a Bipolar polarized coil (BP) on both sides under misalignment along any direction under different excitation conditions are proposed based on dual Fourier transformation. The mutual inductance characteristics of the two polarized couplers under misalignment can be investigated based on the proposed analytical models and finite element models, respectively. The results show that the mutual inductance of BP-BP coupler with in-phase current excitation mode is greater and more stable, and the method based on the analytical model is timesaving. Finally, the prototype of the WPT system with the two polarized couplers has been built, and experiments have also been carried out to verify the accuracy of the analytical models.
A Case of ALK-Negative Anaplastic Large Cell Lymphoma Presenting as a Solitary Cutaneous Nodule

Anaplastic large cell lymphomas (ALCLs) are a group of CD30 positive T-cell non-Hodgkin lymphomas, accounting for only 3% of all non-Hodgkin lymphomas. As per the 2017 World Health Organization updated classification, there are four variants of ALCL: anaplastic lymphoma kinase (ALK) positive, ALK negative, primary cutaneous, and breast-implant associated. The different variants of ALCL share overlapping clinical presentations and pathologic features, creating a diagnostic challenge. A 71-year-old woman with a past history of T-cell lymphoma presented with a progressively growing nodule on her back for approximately 3 months. Physical exam demonstrated a 8.0 x 8.0 cm pink nodular indurated plaque located on her left upper back. A punch biopsy of the lesion revealed medium to large mononuclear cells with nuclear pleomorphism, hyperchromasia, and scattered mitotic figures. Immunohistochemistry demonstrated cells that were positive for CD30 and negative for ALK. Based on clinical and histopathologic findings, a diagnosis of ALCL was rendered. Differential diagnosis included primary cutaneous ALCL and cutaneous involvement by systemic ALK(-) ALCL. This case demonstrates the importance of clinicopathologic correlation in diagnosing ALCL and guiding therapy.
Analysis of Forces in Linear Synchronous Motor With Propulsion, Levitation and Guidance for High-Speed Maglev

Propulsion, levitation, and guidance (PLG) are the key technologies of high-speed maglev system. A linear synchronous motor (LSM) combined with PLG is presented, which can simultaneously realize the three functions of PLG. A novel analytical method for analyzing the 3-D electromagnetic forces of the LSM is proposed. First, the overall structure and operating principle of the high-speed maglev system are discussed. Second, the 3-D analytical model of the LSM is proposed, and the analytical expressions of propulsion force, levitation force, and guidance force are obtained according to the change in the system magnetic field energy during the operation of the maglev train. Finally, the 3-D force characteristics of LSM under different operating conditions of maglev train are calculated and simulated, and the correctness of the 3-D analytical model is verified by the publicly measured data on the Yamanashi line.
Immersive Technologies and Smart Cities in ASEAN

Immersive technologies can have a huge impact on the social structure of a country, opening new opportunities and new scenarios. Through the exploitation and synergy of peculiar disruptive technologies, we are witnessing a capillary development of smart cities and collaborative platforms to facilitate the citizens' lives. The Association of South-East Asian Nations (ASEAN) has the highest growth rate for the intelligent exploitation of technologies. This chapter aims to outline the real impact of technology in the social and business environment by redesigning the continuous disruptive technologies and the different changes of perspective in the relationship between the individual and social sphere. The originality of the chapter lies in analyzing the potential of the smart city to implement a sustainable and collaborative urban development plan capable of spreading technological entrepreneurship and digital innovation.
Grid-Forming Control With Current Limitation for MMC Under Unbalanced Fault Ride-Through

This letter proposes a grid-forming control method for Modular Multilevel Converter (MMC) with AC-side current limitation capabilities under fault ride-through scenarios (balanced and unbalanced faults). The novelty of the proposed controller is that no physical capacitor bank at the AC-side connection is considered as it is usually done. This is achieved with two cascaded controllers (for voltage and current) and elliptic limitations in double synchronous rotating reference frame. In normal mode, the currents are imposed solely by the AC-side load and the current controller is in by-pass mode. In case of AC-side faults, the current controller is automatically enabled to effectively limit the currents if needed. This is achieved without switching logic between normal and limitation mode. Simulation results prove the effectiveness of the proposed strategy.
A Demodulation-Based Method for Instantaneous Phase-Angle Estimation of Unbalanced Three-Phase Voltage Systems

This article proposes an open-loop-based demodulation technique for the instantaneous phase-angle estimation of three phase voltage systems. The proposed demodulation-based method relies on the Clarke transform, finite-impulse-response filters, and algorithms for phase-angle and frequency deviation estimation. When compared to a frequency-locked loop (FLL) based on dual second-order generalized integrators and a phase-locked loop (PLL) relying on adaptive delayed signal cancellation operator, the proposed one does not use any integrators, recursive signals, and feedback of frequency or phase angle, thus unconditionally stable and relatively simple tuning is achieved. In addition, the proposed method is computationally efficient due to avoiding interpolation, square-root, trigonometric functions or their inverse operations. Moreover, under equal dynamic condition, the proposed one generates improved steady-state accuracy in a range of the frequency deviation specified by standard and grid code. Simulated and experimental results are presented to verify the efficacy of the proposed method.