The most important side effects of Cyclophosphamide, as an anticancer broad-spectrum drug, are the negative effects on the reproduction and fertility because of oxidative stress. Considering the antioxidant properties of medicinal plants, especially those of the 
  genus, this paper studied the effect of hydroalcoholic extract of 
  L. on the pathology of testicular tissue in CP-treated mice.
 
  Groups of this experimental study consisted of normal saline recipients; three groups receiving 
  . 
  extract at 50, 100, 200 mg/kg; three groups receiving 
  extract at 50, 100, and 200 mg/g and 6.6 mg/kg of Cyclophosphamide; and a group given Cyclophosphamide at 1.6 mg/kg. All injections were performed intra-peritoneally. After 30 days, the testicular histological profile as well as the number of spermatozoa, the number of primary and round spermatocytes, and the number of spermatogonia were investigated.
 
  Cyclophosphamide treatment significantly reduced the lumen diameter, the seminiferous tubule diameter, the epithelial thickness, as well as decreased the quantity of spermatozoa and round and primary spermatocytes compared to the control group. Cyclophosphamide groups treated with 
  . 
  extract at 50, 100 and 200 mg/kg in a significant manner improved these variables (
  < 0.001).
 
  extract can significantly improve Cyclophosphamide-induced toxicity and pathological process on testicular tissue. It seems that this plant, with high antioxidant capacity, can be considered a complementary therapy for Cyclophosphamide to prevent undesirable effects on the reproductive system.
 A. atroviolaceum extract can significantly improve Cyclophosphamide-induced toxicity and pathological process on testicular tissue. It seems that this plant, with high antioxidant capacity, can be considered a complementary therapy for Cyclophosphamide to prevent undesirable effects on the reproductive system.Emotional intelligence (EI) constitutes a whole set of non-cognitive capabilities, competencies, and skills that affect one's ability to deal successfully with environmental demands and pressures. Different factors such as gender, age, education, place of residence, etc. can influence this variable. Nevertheless, the influence of a multitude of factors involved in behavioral phenomena cannot often be controlled.
  Therefore, some difficulty may often raise in finding associations between these variables using regression models as regression models are built on restrictive assumptions.
 
  In these cases, models such as artificial neural networks are excellent alternatives to regression models. In this study, the neural network model was used in SPSS software to predict the pattern held among the variables of age, gender, occupation, marital status, and education for predicting the EI of 901 individuals aged from 17 to 73 years.
 
  The appropriate neural network model for EI prediction is a hyperbolic tangent transfer function with two neurons in the hidden layer and a sigmoid transfer function in the output layer. This network was able to predict EI in most of its dimensions with significant correlations and could demonstrate the neural network's advantage over regression models in predicting EI using sociological variables.
 
  This model is able to estimate the EI level in different occupational, educational, gender, and age groups, and provide the ground for planning to address potential deficiencies in each group.
 This model is able to estimate the EI level in different occupational, educational, gender, and age groups, and provide the ground for planning to address potential deficiencies in each group.Artificial intelligence has illustrated drastic changes in radiology and medical imaging techniques which in turn led to tremendous changes in screening patterns. In particular, advancements in these techniques led to the development of computer aided detection (CAD) strategy. These approaches provided highly accurate diagnostic reports which served as a "second-opinion" to the radiologists. However, with significant advancements in artificial intelligence strategy, the diagnostic and classifying capabilities of CAD system are meeting the levels of radiologists and clinicians. Thus, it shifts the CAD system from second opinion approach to a high utility tool. This article reviews the strategies and algorithms developed using artificial intelligence for the foremost cancer diagnosis and classification which overcomes the challenges in the traditional method. In addition, the possible direction of AI in medical aspects is also discussed in this study.
  The study was to explore the association between Parkinson's disease and proton pump inhibitors use.
 
  A population-based case-control study was conducted to analyze the 2000-2013 database of Taiwan National Health Insurance Program. In total, there were 4280 participants aged ≥65 years with newly diagnosed Parkinson's disease as the case group and 4280 sex- and age-matched participants without Parkinson's disease as the control group. Ever use of proton pump inhibitors was defined as participants who had at least a prescription for proton pump inhibitors before the index date.  https://www.selleckchem.com/products/iox1.html  Never use of proton pump inhibitors was defined as participants who did not have a prescription for proton pump inhibitors before the index date. The odds ratio and 95% confidence interval were used to estimate the association between Parkinson's disease and proton pump inhibitors use by the logistic regression model.
 
  A significant association was detected between Parkinson's disease and proton pump inhibitors use (odds ratio 1.15, 95% confidence interval 1.04-1.27).
 
  An association is found between Parkinson's disease and proton pump inhibitors use in older people. Other real-world data are required to confirm the clinical impact of proton pump inhibitors therapy on the risk of Parkinson's disease.
 An association is found between Parkinson's disease and proton pump inhibitors use in older people. Other real-world data are required to confirm the clinical impact of proton pump inhibitors therapy on the risk of Parkinson's disease.Open dislocations of the midfoot and subtalar joints are extremely rare injuries. Understanding the anatomy of these joints and the various injury patterns is imperative to obtain stable concentric reduction and provide good functional outcome. We present a report of a 26- year old male who was involved in a road traffic accident and sustained open dislocations of the calcaneocuboid, naviculocuneiform and subtalar joints. He initially underwent external fixation in view of the severe soft tissue injury. After improvement of the soft tissue condition, he underwent K-wiring of the calcaneocuboid joint, buttress plating of the talonaviculocuneiform joint, peroneal tendon reconstruction using hamstring allograft and defect coverage with a free anterolateral thigh flap. With appropriate rehabilitation protocols, patient recovered well and was allowed to weight bear as tolerated by 10 weeks. His wounds healed completely by 4 months. We report this case considering the rarity of the combined calcaneocuboid, naviculocuneiform and subtalar dislocations which were successfully managed.