ABSTRACT: BACKGROUND: Estrogens has traditionally been known as the female hormone, but this idea has been challenged in early 1990’s and an essential physiological role for estrogen in male fertility was identified. Phytoestrogens are naturally occurring non-steroidal plant chemicals that can act like the female hormone estrogen. The herbs ( anise alfalfa and vervain ) chosen in this study contain phytoestrogens. OBJECTIVE: Previous studies demonstrated controversy of the effects of phytoestrogens on the rat testes .Hence, the present investigation was undertaken to investigate the influence of typical dose of herbs containing phytoestrogen on the rat testis. MATERIALS AND METHODS: Twenty-four apparently normal mature male rats were divided into four groups of 6 animals each. The first "control" group received only 4ml of distilled water as a placebo. The second group received 40mg/kg of anise seed; the third group received 53.3 mg/kg of dried herb of vervain and the fourth group received 400 mg /kg of alfalfa seeds. All experimental groups received the doses through orogastric tube daily for fourteen days. Testicular histology was evaluated by light and enzyme histochemistry. Plasma FSH and testosterone concentrations were taken to support our results. RESULTS: Histological examination of anise, alfalfa and vervain – treated groups showed an increase in the height of germinal epithelia. There was marked lipoprotein lipase activity in the whole of the interstitial tissue which is more in amount in experimental groups than that in control group. Acid phosphatase granules were infiltered the seminiferous epithelia mildly in control group , moderately in anise and vervain groups and markedly in alfalfa group. The number of interstitial cells showing marked acid phosphatase activity was higher in all experimental groups than that in control group. Alkaline phosphatase exhibited intense activity in the boundary tissue of the seminiferous tubules in testes of control and experimental groups but it appeared thicker in the latter. CONCLUSION: The low dose and short duration of treatment used in our study made these phytoestrogen – containing herbs to have a stimulatory effect on leydig cell steroidogenesis. This study also demonstrated that aniseed being the most potent of the three herbs followed by alfalfa in stimulating testosterone synthesis. This is possibly attributed to the coumarin constituent of aniseed and alfalfa. KEY WORDS: phytoestrogen-containing herbs, testis, acid phosphatase, alkaline phosphatase, lipoprotein lipase
(5)
(3)
(5)
(2)
(33)
(19)
(54)
(47)
Rutting is a predominant distress in asphalt pavements, particularly in hot climatic regions. This study systematically investigated the high-temperature performance of hot mix asphalt modified with five nanomaterials, namely, nano-silica (NS), nano-alumina (NA), nano-titanium (NT), nano-zinc (NZ), and carbon nanotubes (CNTs), under consistent laboratory conditions. Modification dosages were selected up to 10% for NS, NA, and NT, and up to 5% for NZ and CNTs. The experimental methodology comprised the following: (i) binder rheological characterization through rotational viscosity, G*/sinδ, and multiple stress creep recovery (MSCR) to quantify rutting susceptibility; (ii) chemical and microstructural assessments using Fourier transf
... Show More
(1)
(2)
(5)
(6)
In cognitive radio system, the spectrum sensing has a major challenge in needing a sensing method, which has a high detection capability with reduced complexity. In this paper, a low-cost hybrid spectrum sensing method with an optimized detection performance based on energy and cyclostationary detectors is proposed. The method is designed such that at high signal-to-noise ratio SNR values, energy detector is used alone to perform the detection. At low SNR values, cyclostationary detector with reduced complexity may be employed to support the accurate detection. The complexity reduction is done in two ways: through reducing the number of sensing samples used in the autocorrelation process in the time domain and through using the Slid
... Show More
(8)
(7)
Software-defined networking (SDN) presents novel security and privacy risks, including distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning (ML) and deep learning (DL) have emerged as effective approaches for quickly identifying and mitigating anomalies. To this end, this research employs various classification methods, including support vector machines (SVMs), K-nearest neighbors (KNNs), decision trees (DTs), multiple layer perceptron (MLP), and convolutional neural networks (CNNs), and compares their performance. CNN exhibits the highest train accuracy at 97.808%, yet the lowest prediction accuracy at 90.08%. In contrast, SVM demonstrates the highest prediction accuracy of 95.5%. As such, an
... Show More
(53)
(50)
In this article, a continuous terminal sliding mode control algorithm is proposed for servo motor systems. A novel full-order terminal sliding mode surface is proposed based on the bilimit homogeneous property, such that the sliding motion is finite-time stable independent of the system’s initial condition. A new continuous terminal sliding mode control algorithm is proposed to guarantee that the system states reach the sliding surface in finitetime. Not only the robustness is guaranteed by the proposed controller but also the continuity makes the control algorithm more suitable for the servo mechanical systems. Finally, a numerical example is presented to depict the advantages of the proposed control algorithm. An application in the rota
... Show More
(229)
(208)
(14)
(16)