Application of temporal difference learning rules in short‐term traffic flow prediction

Studying dynamic behaviours of a transportation system requires the use of the system mathematical models as well as prediction of traffic flow in the system. Therefore, traffic flow prediction plays an important role in today's intelligent transportation systems. This article introduces a new approach to short‐term daily traffic flow prediction based on artificial neural networks. Among the family of neural networks, multi‐layer perceptron (MLP), radial basis function (RBF) neural network and wavenets have been selected as the three best candidates for performing traffic flow prediction. Moreover, back‐propagation (BP) has been adapted as the most efficient learning scheme in all the cases. It is shown that the coefficients produced by temporal signals improve the performance of the BP learning (BPL) algorithm. Temporal signals provide researchers with a new model of temporal difference BP learning algorithm (TDBPL). The capability and performance of TDBPL algorithm are examined by means of simulation in order to prove that the wavelet theory, with its multi‐resolution ability in comparison to RBF neural networks, is a suitable algorithm in traffic flow forecasting. It is also concluded that despite MLP applications, RBF neural networks do not provide negative forecasts. In addition, the local minimum problems are inevitable in MLP algorithms, while RBF neural networks and wavenet networks do not encounter them.     

Designing biocompatible Ti-based metallic glasses for implant applications

Ti-based metallic glasses show high potential for implant applications; they overcome in several crucial respects their well-established biocompatible crystalline counterparts, e.g. improved corrosion properties, higher fracture strength and wear resistance, increased elastic strain range and lower Young's modulus. However, some of the elements required for glass formation (e.g. Cu, Ni) are harmful for the human body. We critically reviewed the biological safety and glass forming tendency in Ti of 27 elements. This can be used as a basis for the future designing of novel amorphous Ti-based implant alloys entirely free of harmful additions. In this paper, two first alloys were developed: Ti₇₅Zr₁₀Si₁₅ and Ti₆₀Nb₁₅Zr₁₀Si₁₅. The overheating temperature of the melt before casting can be used as the controlling parameter to produce fully amorphous materials or bcc-Ti-phase reinforced metallic glass nano-composites. The beneficial effect of Nb addition on the glass-formation and amorphous phase stability was assessed by X-ray diffraction, transmission electron microscopy and differential scanning calorimetry. Crystallization and mechanical behavior of ribbons are influenced by the amount and distribution of the nano-scaled bcc phase existing in the as-cast state. Their electrochemical stability in Ringer's solution at 310 K was found to be significantly better than that of commercial Ti-based biomaterials; no indication for pitting corrosion was recorded.     

The anti-allodynic effects of amitriptyline, gabapentin, and lidocaine in a rat model of neuropathic pain

The management of patients with neuropathic pain is challenging. There are only a few reports regarding the acute effects of the commonly used adjuvant drugs amitriptyline (AMI), gabapentin (GBP), and lidocaine (LDC) on neuropathic pain behaviors in animal models. Thus, the purpose of this study was to investigate the acute effects of AMI, GBP, and LDC on behavioral signs of mechanical allodynia and the site of action of these drugs using a rat model of neuropathic pain. Under general anesthesia with halothane, neuropathic injury was produced in rats by tightly ligating the left L5 and L6 spinal nerves. In Experiment 1, baseline mechanical allodynia data were recorded, and the animals were randomly divided into five groups: Group 1 received saline intraperitoneally (IP), Group 2 received AMI (1.5 mg/kg IP); Group 3 received GBP (50 mg/kg IP), Group 4 received an IV saline infusion for 10 min, and Group 5 received LDC (10-mg/kg IV infusion) for 10 min. Measurements of mechanical allodynia were repeated 0.5, 1, 2, and 4 h and 1, 3, and 7 days after treatment. In Experiment 2, rats were prepared similarly to the first experiment, and a single unit activity of continuous discharges of injured afferent fibers was recorded from the left L5 fascicles before and until 1 h after treatment. All animals developed neuropathic pain behavior within 7 days after surgery. All three tested drugs were effective in increasing the threshold for mechanical allodynia as early as 30 min after treatment, and the effect lasted for at least 1 h. Furthermore, AMI and LDC reduced the rate of continuing discharges of injured afferent fibers, whereas GBP did not influence these discharges. Our findings clearly demonstrate an attenuation of neuropathic pain behavior in rats treated with AMI, GBP, or LDC. Finally, the site of action of LDC seems to be primarily in the periphery, and that of GBP is exclusively central, whereas that of AMI seems to have both peripheral and central components. IMPLICATIONS: In the present study, we examined the effectiveness of three drugs commonly used for the treatment of neuropathic pain. Systemic injections of amitriptyline, gabapentin, or lidocaine produced pain-relieving effects in this established model for neuropathic pain in rats, which supports their clinical use in managing patients with neuropathic pain syndromes.     

New delay range–dependent stability criteria for interval time‐varying delay systems via Wirtinger‐based inequalities

Stability conditions for time‐delay systems using the Lyapunov‐based methodologies are generically expressed in terms of linear matrix inequalities. However, due to assuming restrictive conditions in deriving the linear matrix inequalities, the established stability conditions can be strictly conservative. This paper attempts to relax this problem for linear systems with interval time‐varying delays. A double‐integral inequality is derived inspired by Wirtinger‐based single‐integral inequality. Using the advanced integral inequalities, the reciprocally convex combination techniques and necessary slack variables, together with extracting a condition for the positive definiteness of the Lyapunov functional, novel stability criteria, have been established for the system. The effectiveness of the criteria is evaluated via 2 numerical examples. The results indicate that more complex stability criteria not only improve the stability region but also bring computational expenses.     

Sunscreen Ingredient Octocrylene’s Potency to Disrupt Vitamin D Synthesis

Octocrylene is a widely used ingredient in sunscreen products, and it has been observed that the use of sunscreen has been increasing over the last few decades. In this paper, we investigated the way in which sunscreen’s ingredient octocrylene may disrupt normal vitamin D synthesis pathway, resulting in an imbalance in vitamin D levels in the body. The key techniques used for this insilico investigation were molecular docking, molecular dynamic (MD) simulation, and MMPBSA-based assessment. Vitamin D abnormalities have become very common in human health. Unknown exposure to chemicals may be one of the important risk factors. In molecular docking analysis, octocrylene exhibited a binding energy of −11.52 kcal/mol with vitamin D binding protein (1KXP) and −11.71 for the calcitriol native ligand. Octocrylene had a binding potency of −11.152 kcal/mol with the vitamin D receptor (1DB1), and calcitriol had a binding potency of −8.73 kcal/mol. In addition, octocrylene has shown binding energy of −8.96 kcal/mol with CYP2R1, and the calcitriol binding energy was −10.36 kcal/mol. Regarding stability, the root-mean-square deviation (RMSD), the root-mean-square fluctuation (RMSF), the radius of gyration, hydrogen bonding, and the solvent-accessible surface area (SASA) exhibited that octocrylene has a stable binding pattern similar to calcitriol. These findings revealed that incessant exposure to octocrylene may disrupt normal vitamin D synthesis.     

A New Analysis Method of the Dry Sliding Wear Process Based on the Low Cycle Fatigue Theory and the Finite Element Method

In the present work, a combination of a dynamic explicit finite element model and the low cycle fatigue theory is used to simulate the steady-state abrasive wear occurring between an as-cast eutectoid steel and a carbide-tungsten disk. While the low cycle fatigue theory has been used to model wear in softer non-ferrous alloys, this work shows its applicability and accuracy for use in harder alloys, such as the eutectoid steel used in this research which is strengthened with added chromium. The novelty of this work lies in calculating the Manson-Coffin relation constants from a coupled finite element model with experimental tests instead of the previously used Slip line method. The D Manson-Coffin constant, obtained around 2, is in agreement with previous works given in the literature showing that the low cycle fatigue is a general wear mechanism in the steady-state wear of the alloy tested in this work.     

Evaluation of the robustness of the enzymatic hydrolysis in batch and continuous mode by a central composite design

The main purpose of this work is to study the ability of the enzymatic reaction. For the performance of the experiment, it is desirable to control variations so that they are minimized to the maximum extend and therefore an optimum operating point can be maintained. To achieve this target, the central composite design takes into account all interaction effects that may be useful for creating a mathematical model in agreement with the validity criteria. The model showed to be more suitable for the saccharification experiments in batch mode than in continuous mode. In batch mode, a correlation coefficient close to unity (R² = .98) was obtained. Moreover, the resulting mathematical model was satisfactory in accordance with the validation criteria. For continuous mode, the coefficient value obtained was R² = .83 indicating that the model to study the ability of the enzymatic reaction was inferior than the batch mode conditions of the analysis.

Practical applications

• The ability of the enzymatic reaction to maintain its performance at small experimental condition variations was studied.
• The central composite design conformed to criterion validity.
• A correlation coefficient close to unity (R² = .98) was obtained.