The aim of this research was to evaluate the essential oils of two medicinal plants from Djibouti: Cymbopogon schoenanthus (L.) Spreng. and Nepeta azurea R.Br. ex Benth. in cytotoxic activity against thirteen (13) cancer cell lines (A2780, A549, HCT116, HEK-293, JIMT-T1, K562, MIA-Paca2, MRC5, NCI-N87, PC3, RT4, U2OS and U87-MG) and antibacterial activity against seven (7) Gram (−) strains (Acinetobacter baumannii, Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Salmonella enterica sv. Typhimurium and Shigella sonnei) and five (5) Gram (+) strains (Corynebacterium sp., Enterococcus faecalis, Staphylococcus aureus, Staphylococcus epidermidis and Streptococcus agalactiae). The plants were extracted by hydrodistillation and were analyzed by GC-MS. The main components of Cymbopogon schoenanthus essential oil (CSEO) were 3-isopropenyl-5-methyl-1-cyclohexene (32.3%) and D-Limonene (11.3%), and the main component of Nepeta azurea essential oil (NAEO) was methyl (2E)-2-nonenoate (53.2%). The two essential oils showed inhibitory cytotoxicity activities of all the cancer cells tested; on the other hand, the antibacterial activities are only well-noticed for the CSEO oil at a concentration of 5% against Klebsiella pneumoniae, Pseudomonas aeruginosa, Corynebacterium sp., Enterococcus faecalis and Staphylococcus aureus. Our results demonstrated that the two essential oils could be effective natural anticancer agents, in addition to an antibacterial character for Cymbopogon schoenanthus essential oil. Full article

To analyze the excavation stability and reasonable reinforcement measures of cutting slope with a goaf collapsed roadway and collapsed mining face, the finite element software Midas GTS NX was used to model and analyze the change in the slope stability coefficient under different excavation slope ratios. Combined with the scope of the project land, it is proposed that the slope ratio of grades 1–3 (close to the top of the cut) is 1:1.5, while the slope ratio of grades 4–6 (close to the bottom of the cut) is 1:1, to excavate the slope. During the excavation process, the change in the plastic zone after each level of slope excavation was further analyzed, and the control variable method was used to analyze the influence of the collapsed roadway and the collapsed mining face on the slope stability. We found that the collapsed mining face was one of the main factors affecting the stability of the slope. During the reinforcement of the slope, the reinforcement effects of different schemes were analyzed, and we found that the slope can be stabilized by reinforcement of the third- and fourth-level slopes adjacent to the collapsed mining face. In this study, the old goaf and cutting slope excavation are combined, and the stability of slope excavation with a goaf collapsed roadway and collapsed mining face is analyzed by coupling. This research provides a scientific basis for the stability analysis of cutting slope excavation in old goafs in the future and has great practical engineering significance. Full article

Background: Transurethral resection of the prostate (TURP) is the gold-standard treatment for benign prostatic hyperplasia (BPH). However, laser surgery techniques (e.g., photoselective vaporization of the prostate (PVP), holmium laser, thulium laser enucleation of the prostate (HoLEP or ThuLEP)), and minimally invasive treatment options (e.g., UroLift) are increasingly replacing TURP. This study seeks to report the annual incidence, management trends, and costs of BPH procedures in the U.S. Methods: Data analyses of U.S. health insurance claims from 2004 to 2017, collected from the de-identified Optum Clinformatics Claims Database, were performed to determine the number of BPH patients and the treatment selected. Results: A total of 51,448 patients underwent BPH procedures from 2004 to 2017. There was a significant increase in the annual rate from 770 in 2004 to 6571 in 2017. The mean patient age (±SD) increased from 67.6 years old (±8.4) in 2004 to 73.4 years old (±8.4) in 2017. More than 60% of patients underwent cystourethroscopy and a post-void residual urine check for workup prior to surgical management. TURP was the most-common, and PVP was the second-most-common BPH procedure. Medical and total treatment costs increased, while the detection rate of prostate cancer after BPH surgery gradually decreased from 19.87% in 2004 to 5.78% in 2017. Conclusions: Our study demonstrates a recent trend in BPH management that replaces the traditional TURP technique with alternative methods. Due to rising costs, future studies should assess whether these newer methods are cost effective over the long term. Full article

Globalization in the field of industry is fostering the need for cognitive production systems. To implement modern concepts that enable tools and systems for such a cognitive production system, several challenges on the shop floor level must first be resolved. This paper discusses the implementation of selected cognitive technologies on a real industrial case-study of a construction machine manufacturer. The partner company works on the concept of mass customization but utilizes manual labour for the high-variety assembly stations or lines. Sensing and guidance devices are used to provide information to the worker and also retrieve and monitor the working, with respecting data privacy policies. Next, a specified process of data contextualization, visual analytics, and causal discovery is used to extract useful information from the retrieved data via sensors. Communications and safety systems are explained further to complete the loop of implementation of cognitive entities on a manual assembly line. This deepened involvement of cognitive technologies are human-centered, rather than automated systems. The explained cognitive technologies enhance human interaction with the processes and ease the production methods. These concepts form a quintessential vision for an effective assembly line. This paper revolutionizes the existing industry 4.0 with an even-intensified human–machine interaction and moving towards cognitivity. Full article

The speed control of induction machines for multiple-speed handling is critical. When the vector control method is applied to induction machines, it has a significant impact on speed utilization. This strategy of operating the machine at a fixed predefined speed mode presents better results for electric vehicles. An effective model for a speed control loop is proposed in this paper, using a fixed-mode proportional integral (FM-PI) controller based on an upper and lower limit torque limiter. The power supply is fed using a lithium-ion battery with an inverter-fed mechanism. Moreover, the proposed model is validated using simulations with user-defined speed modes (40, 60, and 80 km/h). These speed modes, with different torque commands, have been considered for advanced modeling. In this model, torque is developed via a closed-loop control operation to attain the required speed assigned by the user. The sensors are used to collect data, and a multiple regression algorithm analyzes the dataset to predict input parameters (voltage (V_ab), phase current (I), and torque (T)) required to achieve the desired speed mode. The efficiency of the proposed model is compared with induction motors bearing the same rating for the loaded and unloaded speed test. Effective machine parameter control is achieved by reaching the desired performance levels of 94.37% and 78.30% in a shorter time for the loaded and unloaded modes. A speed response comparison of the FOPID, KW-WOA-PID, SVR-PI, and FM-PI controller model simulation results indicates that the FM-PI speed controller guarantees better performance and displays an improvement in rising time and settling time, compared to other controllers. The implementation of different driving scenarios proves the model’s effectiveness for robust speed applications. Full article

We studied the N-species competitive coexistence model with direct effect on habitat destruction to analyze the behaviors of abundant and extinct species in the system caused by habitat loss. The nontrivial equilibrium points of the system are determined for a general habitat destruction function. For the trivial equilibrium, species that survived the habitat destruction are identified using eigenvalues of the Jacobian matrix. Solutions of the system are also presented using the recursive method. Three special cases of habitat destruction functions are addressed: continuous destruction, which is a typical habitat destruction; sudden habitat destruction, which is similar to natural phenomena such as earthquakes or floods; and sudden habitat destruction with aftershocks. The proportional abundances of 50 species are numerically portrayed in each case. We found that the survival of a species is guaranteed if its corresponding eigenvalue is positive. However, the fact that a species has negative corresponding eigenvalue does not guarantee its extinction, as this also depends on the initial number of that species. Full article

(1) In recent years, with China’s increasing investment in the transportation industry, the construction of highways and bridges has flourished, bringing great convenience to people’s lives. At the same time, there are many uncertain factors in the process of bridge construction, being prone to construction risks. In order to meet the requirements of sustainable development, it is necessary to accurately evaluate the safety risk level of bridge construction. Therefore, it is necessary to establish a new scientific safety risk evaluation system for highway bridge construction. (2) Methods. Based on the relevant standards and specifications, this paper establishes a highway bridge construction safety risk evaluation index system, and then uses the cloud entropy weight method to objectively weight each risk index, using cloud model theory to conduct a risk assessment, and through the cloud model images directly determine the overall risk level of bridge construction, and the level of risk indicators. (3) Results. Applying this method to the construction safety risk assessment of a particular bridge, the overall construction risk level of the bridge is obtained as “level 4”, and the risk levels of the four first-level indicators are also all “level 4”. (4) Conclusions. The cloud entropy weight method proposed in this paper and the traditional AHP-Extenics method are applied to a bridge construction safety risk evaluation, and the evaluation results obtained are consistent. However, this paper uses the cloud model to improve the entropy weight method in order to calculate the weights, which fully reflects the objectivity of the assignment. The cloud model is used for evaluation, and the risk level of indicators can be determined visually with images. Full article

Staphylococcus aureus (S. aureus) represents an important pathogen of clinical relevance, causing a wide variety of symptoms. The broad distribution of multidrug-resistant strains necessarily demands new antibacterial agents for the treatment of S. aureus infections. The aim of this study was to assess the antibacterial activity of plant-derived compounds, pure 4,5″-dihydroxy-anthraquinone-2-carboxylic acid (Rhein), against standard and clinical isolated S. aureus strains. The hemolysis and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assays were used to determine the cytotoxicity on human erythrocytes and bronchial epithelial cells after treatment with Rhein. The antibacterial effect was assessed via disk diffusion test, broth microdilution methods, time-killing assays and live–dead evaluation (50–0.39 µg/mL). Rhein effect on the hemolytic activity of α-toxin and catalase were estimated. Moreover, crystal violet (CV) assay evaluated its impact on biofilm biomass. The compound exhibited 50% cytotoxic concentration (CC₅₀) and 50% hemolysis concentration (EC₅₀) of 43.6 and >50 µg/mL, respectively. The minimum inhibitory concentration (MIC) of Rhein was 12.5 µg/mL for all tested strains, exerting bacteriostatic action. MIC and sub-MIC concentrations of Rhein significantly reduced hemolytic and catalase activities, impairing the major virulence factors of S. aureus strains. Rhein also reduced biofilm biomass in a dose-dependent manner, reaching rates of about 50% eradication at a dose of 50 µg/mL. These findings suggest that Rhein could represent a promising therapeutic option for the treatment of S. aureus infections. Full article

It has long been known that the hysteresis loops of sand under cyclic loading gradually become asymmetric with the increase of strain amplitudes, but a symmetrical hysteresis loop is widely assumed in current practice. Despite several methods which have been proposed recently to consider the hysteresis loop irregularities, previous research has lacked a quantitative study on the effects of determination methods on the shear modulus G and modulus reduction curve G/G_max. The primary objective of the current study is to evaluate the uncertainties associated with the shear modulus measurements introduced by four determination methods. Reconstituted sand specimens prepared at three relative densities are tested using strain-controlled cyclic triaxial tests, at various effective confining pressures. The results in terms of G and G/G_max with increasing shear strain are presented, following by the difference quantification in the calculated G/G_max caused by the determination methods, the G_max definition and the cycle number. The results show that the calculated G/G_max may differ significantly for the same hysteresis loop, with a maximum percentage change of 40~50%. The aggravated influence at low confining pressure highlights that careful consideration of the asymmetrical hysteresis loop at large strains is warranted. Full article

This paper proposes two approaches, Empirical Mode Decomposition (EMD) and Fourier Transform (FT), to correct the vibration signals measured by an Unmanned Aerial Vehicle (UAV), which overcomes the difficulty of selection of reference points used in other correction methods, such as homography transformation and three-dimensional reconstruction. In the method of this paper, a UAV is used to collect the video of a vibrated bridge, and the displacement signal of the bridge is obtained from the video by Kanade–Lucas–Tomasi (KLT) optical flow method, which contains false displacement caused by the ego-motion of the UAV during the measurement. The false displacement can be effectively eliminated by EMD and FT to obtain the real displacement signal. Finally, the displacement signal is processed by the Operational Modal Analysis (OMA) technique to obtain the bridge modal parameters. The performance of correcting vibration signals and extracting bridge modal parameters from the vibration signals based on EMD, FT, and Differential Filtering (DF) are compared by taking the fixed camera measurement as a reference (the accuracy of measuring bridge vibration with fixed cameras has been verified) in this paper, and it is demonstrated that EMD has better reliability in processing signal measured by UAVs, which is mainly due to the absence of random factors and too much noise in the signal processing process of EMD. Full article

Based on the shock absorber size and power and power density limitations in motorcycle application, a linear permanent magnet machine for a regenerative suspension system that recovers the kinetic energy originating from shock absorber vibration is investigated. To achieve the target power of 120 W, several design parameters were investigated. The eight-slot eight-pole combination was used due to its high power density. A hybrid permanent magnet structure was implemented which was a combination of a classical Halbach array and iron spacers. In addition, the dimensions of the permanent magnet, and stator inner radius were parametrically studied to enhance the air-gap flux density and coil volume, which are the main factors affecting performance. The detailed design generated 124 W of average power under the rated condition, assuming a vibration speed of 0.157 m/s. Despite the satisfaction of the output power and power density, the large magnetic force caused by the interaction between the iron core and permanent magnet is the main drawback of this design, which has a negative impact on driving safety and comfort. To commercialize the suggested device, additional studies will focus on size, electromagnetic reduction, as well as road test performance. Full article

Here, we investigated the physicochemical and storage characteristics of Tteokgalbi using n-3 fatty acid-enriched pork (n-6/n-3 ratio: 3.220) and explored the effects of treatment with watermelon radish powder (W; 0–4%). Tteokgalbi groups were prepared with 0% W (control (CON)), 1% W (W1), 2% W (W2), 4% W (W3), or 0.05% ascorbic acid as a reference (REF) treatment. W addition to Tteokgalbi increased the moisture and ash contents and water-holding capacity, but reduced cooking loss. W-prepared Tteokgalbi had markedly decreased L* (brightness) and increased b* (yellowness) values, but significantly increased a* (redness) values. W treatment markedly altered the textural properties of Tteokgalbi by improving the hardness and chewiness (W3 treatment), but decreasing springiness (W3) and brittleness (W2 and W3). W addition dose-dependently increased the total polyphenol and flavonoid contents, thereby increasing the 2,2-diphenyl-1-picrylhydrazyl and 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) radical-scavenging activities of Tteokgalbi over 7 days in cold storage. W-treatment Tteokgalbi decreased the pH slightly (compared to CON treatment) and significantly attenuated the induction of 2-thiobarbituric acid, volatile basic nitrogen, and total microbial counts during 7 days in cold storage. Therefore, W may be a suitable food antioxidant that can act as a natural radical scavenger in Tteokgalbi prepared from n-3 fatty acid-enriched pork. Full article

The synthesis of carbon-based quantum dots has been widely explored in the literature in recent years. However, despite the fact that synthesis processes to obtain highly efficient carbon quantum dots (CQDs) and graphene quantum dots (GQDs) with redshifted photoluminescence (PL) have been improved, few works have exploited sucrose in the synthesis of GQDs with high PL efficiency. In this work, sucrose, which is a widely available non-toxic saccharide, was used as a precursor of GQDs. Initially, sucrose was carbonized in sulfuric acid, and thereafter, the material obtained was treated in dimethyl sulfoxide (DMSO). Nitrogen doping was also performed in this work through an additional step involving the treatment of carbonized sucrose in nitric acid reflux. Nitrogen-doped GQDs (N-GQDs) showed tunable PL dependent on the excitation wavelength. It was also verified that the intensity of the emission in the red region was much higher in the N-GQDs in comparison with that in undoped GQDs. X-Ray Diffraction, Raman, FTIR, TEM, and AFM analyzes were also performed to obtain greater structural details of the obtained GQDs. Full article

Shapelet-based time series classification methods are widely adopted models for time series classification tasks. However, the high computational cost greatly limits the practicability of the Shapelet-based methods. What is more, traditional Shapelet can only describe the overall shape characteristics of subsequences under the Euclidean distance metric, so it is vulnerable to noise. Other than Shapelet, there are other types of discriminative information contained in the subsequences. To deal with the aforementioned problems, an accurate and efficient time series classification algorithm, named Shapelet with Canonical Time Series Features, is proposed in this paper. The proposed algorithm is based on the following three key strategies: (1) randomly selecting Shapelet and limiting the scope of Shapelet to improve efficiency; (2) embedding multiple canonical time series features in Shapelet to improve the adaptability of the algorithm to different classification problems and make up for the accuracy loss caused by the random selection of Shapelet; and (3) building a random forest classifier based on the new feature representations to ensure the generalization ability of the algorithm. Experimental results on 112 UCR time series datasets show that the proposed algorithm is more accurate than the STC algorithm which is based on Shapelet exact search and the Shapelet transform technique, as well as many other types of state-of-the-art time series classification algorithms. Moreover, extensive experimental comparisons verify the significant advantages of the proposed algorithm in terms of efficiency. Full article