Novel hybrid neuro-fuzzy model to anticipate the heat transfer in a heat exchanger equipped with a new type of self-rotating tube insert

In this investigation, a combination of the wingsuit flying search (WFS) and teaching–learning-based optimization (TLBO) algorithms is developed as a new combinatorial optimization algorithm. The proposed combinatorial algorithm is tested over some well-known benchmark functions and then integrated with the artificial neural network (ANN) to construct a novel hybrid model. After that, the obtained hybrid model is employed to anticipate the experimentally obtained values of the average Nusselt number (Nu), average friction coefficient (f) as well as thermal–hydraulic performance ratio (η), in a heat exchanger equipped with a new type of self-rotating tube insert, against governing parameters. The insert is placed in the tube side of the water heater to heat natural gas. The proposed insert consists of various numbers of self-rotating modules. Indeed, the rotating insert is introduced to create effective secondary sweeping flow on the inner side of the tube. Since this type of tube insert simultaneously provides heat transfer enhancement and undesired pressure drop, a thermal–hydraulic performance ratio is defined to consider both of them. The governing parameters are the number of inserts (0 ≤ N ≤ 30), reservoir’s temperature (40 °C  ≤  TR ≤ 50 °C) as well as Reynolds number (6 × 103 ≤ Re ≤ 18 × 103). It was found that the WFS–TLBO enhances the effectiveness of the main ANN in anticipating the Nusselt number (Nu), average friction coefficient (f) as well as performance ratio (η). Moreover, introducing the WFS–TLBO algorithm into the neural network provides an enhancement in the effectiveness of the hybrid models based on the single WFS and TLBO algorithms in anticipating the same parameters

Does Clomiphene citrate administration increase the success rate of microdissection testicular sperm extraction in non-obstructive azoospermic men? A cross-sectional study

Abstract Background: Clomiphene citrate (CC) has been suggested to increase the chance of sperm retrieval withmicrodissection testicular sperm extraction (micro-TESE). Objective: This study aimed to evaluate the effect of CC on micro-TESE results, due to the great controversy in this regard. Materials and Methods: 112 participants were included in this cross-sectional study and were divided into a case (n = 54) and a control group (n = 58) diagnosed with non-abstractive azoospermia. The case group received 25 mg of CC daily for 3 months, while the control group did not receive anything. All participants underwent micro-TESE by an andrologist, and at the end, the results were compared between groups. Hormone tests, including follicle-stimulating hormone, luteinizing hormone, testosterone, and prolactin were analyzed. Results: The mean age of participants was the same in the case and the control groups, and no significant relationship was observed between the 2 groups (p = 0.16). 25.9% of sperm and 31.0% of sperm were observed and extracted in the CC-treated and the control group, respectively. Conclusion: Our findings showed that after receiving CC, the number of sperm extraction did not increase but it rather decreased. However, the initial level of hormones such as testosterone, follicle-stimulating hormone, luteinizing hormone, and prolactin, and the men's age, testicle size, smoking, and opium addiction, underlying diseases had no significant relationship in the 2 groups and did not affect the results