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Lactoferrin is an antimicrobial peptide (AMP) playing a pivotal role in numerous biological processes. The primary antimicrobial efficacy of lactoferrin is associated with its N-terminal end, which contains various peptides, such as lactoferricin and lactoferrampin. In this context, our research team has developed a refined chimeric 42-mer peptide known as cLF36 over the past few years. This peptide encompasses the complete amino acid sequence of camel lactoferrampin and partial amino acid sequence of lactoferricin. The peptide's activity against human, avian, and plant bacterial pathogens has been assessed using different biological platforms, including prokaryotic (P170 and pET) and eukaryotic (HEK293) expression systems. The peptide positively influenced the growth performance and intestinal morphology of chickens challenged with pathogen bacteria. Computational methods and in vitro studies showed the peptide's antiviral effects against hepatitis C virus, influenza virus, and rotavirus. The chimeric peptide exhibited higher activity against certain tumor cell lines compared to normal cells, which may be attributed to the peptide's interaction with negatively charged glycosaminoglycans on the surface of tumor cells. Importantly, this peptide exhibited no toxicity against host cells and demonstrated remarkable thermal and protease stability in serum. In conclusion, while our investigations suggest that the chimeric peptide, cLF36, may offer potential as a candidate or complementary option to some available antibiotics, antiviral agents, and chemical pesticides, significant uncertainties remain regarding its cost-effectiveness, as well as its pharmacodynamic and pharmacokinetic characteristics, which require further elucidation., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

The critical role of groundwater in meeting diverse needs, including drinking, industrial, and agricultural, highlights the urgency of effective resource management. Excessive groundwater extraction, especially in coastal regions including Urmia Plain in NW Iran, disrupts the equilibrium between freshwater and saline boundaries within aquifers. Influential parameters governing seawater intrusion-groundwater occurrence (G), aquifer hydraulic conductivity (A), the height of groundwater level above the mean sea level (L), distance from the shore (D), impact of the existing status of seawater intrusion (I), and thickness of the saturated aquifer (T)-merge to shape the GALDIT vulnerability index for coastal aquifers. This study enriches the GALDIT framework by incorporating two additional hydrogeological variables: hydraulic gradient (i) and pumping rate (P). This expansion produces seven distinct vulnerability maps (GALDIT, GAiDIT, GAiDIT-P, GALDIT-i, GALDIT-iP, GALDIT-P, GAPDIT). In the Urmia Plain, the traditional GALDIT index reveals vulnerability values ranging from 2 to 8.1, categorized into six classes from negligible to very high vulnerability. However, the modified indices, GAiDIT and GAiDIT-P, yield a three-class categorization, ranging from low to high vulnerability. The introduction of the "i" and "P" parameters in GALDIT-i and GALDIT-iP enhances the precision of vulnerability mapping, altering class distribution and intensifying vulnerability ratings. The eastern, central, and coastal areas of the Urmia Plain demonstrate high to very high vulnerability levels, in contrast to the lower vulnerability observed in the western regions. Both the GALDIT-P (r = 0.82) and GALDIT-iP (r = 0.81) indices show strong correlations with Cl concentration, thereby improving mapping accuracy over the traditional GALDIT index (r = 0.72). A sensitivity analysis highlights the critical influence of the "i" parameter, suggesting its weighting should be revised. Parameter recalibration serves to amplify the significance of "G," "L," "D," and "i" parameters, while diminishing others. The integration of multiple hydrogeological variables considerably enhances the precision of groundwater vulnerability assessments., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Diabetic cardiomyopathy (DCM), as a ventricular dysfunction, is one of the main causes of death in diabetic patients. Former evidence revealed the beneficial effects of exercise on cardiovascular complications of diabetes. We aimed to investigate the effects of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on DCM. Male Wistar rats were divided into control, diabetic, metformin (300 mg/kg), HIIT, MICT, metformin + HIIT, and metformin + MICT diabetic groups. Serum biochemical, inflammatory, and oxidative stress indicators, gene expression of BCL2 and BAX , and histopathologic changes of cardiac tissue were assessed. Our analysis revealed an increase in fasting blood sugar (FBS), creatine kinase MB (CK-MB), lactate dehydrogenase (LDH), and aspartate aminotransferase (AST) in diabetes. Also, the superoxide dismutase (SOD) and catalase (CAT) activity, and the total thiol were decreased, in contrast, malondialdehyde (MDA) levels increased in the cardiac tissue of the diabetic group. All of these changes were significantly ameliorated in diabetic animals treated with exercise and metformin + exercise. The level of tumor necrosis factor-α (TNF-α) and Interleukin-1β (IL-1β), as well as the infiltration of inflammatory cells, were decreased in the heart of all exercise training groups. Up-regulation of BCL2 and down-regulation of BAX gene expressions were observed in the cardiac tissue of all exercise-treated groups. In conclusion, HIIT and MICT exercises are effective in preventing DCM development. Exercise training, besides improving oxidative stress and inflammation in cardiac tissue, alleviates cardiac damage by modulating the apoptotic gene expression in diabetic rats., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)

This paper investigates aggregated risks in aquifers, where risk exposures may originate from different contaminants e.g. nitrate-N (NO 3 -N), arsenic (As), boron (B), fluoride (F), and aluminium (Al). The main goal is to develop a new concept for the total risk problem under sparse data as an efficient planning tool for management through the following methodology: (i) mapping aquifer vulnerability by DRASTIC and SPECTR frameworks; (ii) mapping risk indices to anthropogenic and geogenic contaminants by unsupervised methods; (iii) improving the anthropogenic and geogenic risks by a multi-level modelling strategy at three levels: Level 1 includes Artificial Neural Networks (ANN) and Support Vector Machines (SVM) models, Level 2 combines the outputs of Level 1 by unsupervised Entropy Model Averaging (EMA), and Level 3 integrates the risk maps of various contaminants (nitrate-N, arsenic, boron, fluoride, and aluminium) modelled at Level 2. The methodology offers new data layers to transform vulnerability indices into risk indices and thereby integrates risks by a heuristic scheme but without any learning as no measured values are available for the integrated risk. The results reveal that the risk indexing methodology is fit-for-purpose. According to the integrated risk map, there are hotspots at the study area and exposed to a number of contaminants (nitrate-N, arsenic, boron, fluoride, and aluminium)., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

Objectives: Diabetes has a negative effect on learning and memory performance, and it is a risk factor for Alzheimer's disease and dementia development. The present study aims to investigate the effects of two kinds of endurance exercise including high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) as well as metformin on impaired memory and learning related to streptozotocin (STZ) induced diabetes in rats., Methods: Forty adult male rats (250 ± 20 g weight) were divided into five groups (n=8), including control, diabetic, as well as diabetic rats treated with metformin (300 mg/kg), and HIIT (20 m/min), and MICT (15 m/min) exercises. Diabetes was induced by STZ (60 mg/kg, i.p.). Serum glucose concentration and oxidative stress markers (SOD, CAT, thiol, and MDA) in the cortex and hippocampus were determined by colorimetric assay. Behavioral tests were performed with a passive avoidance test., Results: The diabetic groups treated with metformin and both HIIT, and MICT exercises improved the latency and the staying time in the darkroom and lightroom. The entrance frequency into the darkroom also was restored (p<0.01-p<0.001). In both HIIT and MICT exercises as well as metformin groups the oxidative stress induced by diabetes has been reversed and attenuation of the serum glucose level has been observed compared to non-treated diabetic ones (p<0.05-p<0.001)., Conclusions: The results of the present study revealed both HIIT and MICT exercises had protective effects against oxidative stress and behavioral impairments induced by diabetes and these effects were comparable to the effects of metformin., (© 2023 Walter de Gruyter GmbH, Berlin/Boston.)

Objectives: Regarding neurocognitive and immunomodulatory properties of cinnamon (Cinn) we aimed to investigate whether cinnamon regulates acetylcholinesterase (AChE) activity, and oxidative abnormalities with concomitant memory dysfunction in streptozotocin (STZ)-induced diabetes., Methods: Forty-seven male adult rats were divided into seven groups (n=8 animals): Control group: in these non-diabetic rats only saline 0.9% NaCl was gavaged, Diabetic (Dia) group: diabetic rats in them saline 0.9% NaCl was gavaged for six weeks. Dia-Cinn 100, Dia-Cinn 200, and Dia-Cinn 400, Dia-Met groups: in these diabetic rats the extract (100, 200, 400 mg/kg respectively) or metformin (300 mg/kg) was gavaged for six weeks. Passive avoidance performance, AChE enzyme activity, and oxidative indicators were examined among the groups., Results: Vs. the control group, blood glucose level and stay time in the dark were remarkably increased in Dia group whereas the latency time was decreased. Meanwhile, antioxidant levels (superoxide dismutase, catalase, and thiols) noticeably decreased in the Dia group compared to the Control group. On the other hand, Cinn extract espicailly at the highest dose recovered the changes similar to those found in the metformin-treated group., Conclusions: These findings proposed that the cinnamon hydro-ethanolic extract promotes memory recovery in diabetic conditions through the atteuation of the AChE activity and oxidative injury., (© 2022 Walter de Gruyter GmbH, Berlin/Boston.)

The key role of fibrosis and hypertrophy processes in developing diabetes-induced heart injury has been demonstrated. Considering the known hypoglycemic effects of olive leaf extract (OLE), we decided to investigate its potential effect and associated mechanisms on cardiac fibrosis and myocardial hypertrophy in streptozotocin (STZ)-induced diabetic rats. Eight groups were included in this study: control, diabetic, diabetic-OLEs (100, 200 and 400 mg/kg), diabetic-metformin (300 mg/kg), diabetic-valsartan (30 mg/kg), and diabetic-metformin/valsartan (300/30 mg/kg). After a treatment period of 6 weeks, echocardiography was used to assess cardiac function. Heart-to-body weight ratio (HW/BW) and fasting blood sugar (FBS) were measured. Myocardial histology was examined by Masson's trichrome staining. Gene expressions of atrial natriuretic peptide (ANP), brain natriuretic peptide (BNP), β-myosin heavy chain (β-MHC), TGF-β1, TGF-β3, angiotensin II type 1 receptor (AT1), alpha-smooth muscle actin (α-SMA), and collagen were evaluated by the quantitative real-time PCR in heart tissue. A reduction in the FBS level and HW/BW ratio in the extract groups was obvious. The improvement of left ventricular dysfunction, cardiac myocytes hypertrophy, and myocardial interstitial fibrosis was also observed in treated groups. A lowering trend in the expression of all hypertrophic and fibrotic indicator genes was evident in the myocardium of OLE treated rats. Our data indicated that OLE could attenuate fibrosis and reduce myocardial hypertrophy markers, thus improving the cardiac function and structure in the STZ-induced diabetic rats. PRACTICAL APPLICATIONS: This study demonstrates that olive leaf extract in addition to lowering blood glucose levels and the heart-to-body weight ratio (HW/BW) may also improve cardiac function and reduce cardiac hypertrophy and fibrosis in cardiac tissue, which leads to inhibition of diabetic heart damage. Thus it is possible that including olive leaf extracts in the diets of individuals with diabetes may assist in lowering cardiovascular disease risk factors., (© 2022 Wiley Periodicals LLC.)

Diabetic cardiomyopathy (DCM) is a chronic complication of diabetes that emphasizes the urgency of developing new drug therapies. With an illustrious history in traditional medicine to improve diabetes, cinnamon has been shown to possess blood lipids lowering effects and antioxidative and anti-inflammatory properties. However, the extent to which it protects the diabetic heart has yet to be determined. Forty-eight rats were administered in the study and grouped as: control; diabetic; diabetic rats given 100, 200, or 400 mg/kg cinnamon extract, metformin (300 mg/kg), valsartan (30 mg/kg), or met/val (combination of both drugs), via gavage for six weeks. Fasting blood sugar (FBS) and markers of cardiac injury including creatine kinase-muscle/brain (CK-MB), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were evaluated in blood samples. Malondialdehyde (MDA) levels, the total contents of thiol, superoxide dismutase (SOD), and catalase (CAT) activities were measured. Histopathology study and gene expression measurement of angiotensin II type 1 receptor (AT1), atrial natriuretic peptide (ANP), beta-myosin heavy chain (β-MHC), and brain natriuretic peptide (BNP) were done on cardiac tissue. FBS and cardiac enzyme indicators were reduced in all treated groups. A reduction in MDA level and enhancement in thiol content alongside with increase of SOD and CAT activities were observed in extract groups. The decrease of inflammation and fibrosis was obvious in treated groups, notably in the high-dose extract group. Furthermore, all treated diabetic groups showed a lowering trend in AT1, ANP, β-MHC, and BNP gene expression. Cinnamon extract, in addition to its hypoglycemic and antioxidant properties, can prevent diabetic heart damage by alleviating cardiac inflammation and fibrosis. PRACTICAL APPLICATIONS: This study found that cinnamon extract might protect diabetic heart damage by reducing inflammation and fibrosis in cardiac tissue, in addition to lowering blood glucose levels and increasing antioxidant activity. Our data imply that including cinnamon in diabetic participants' diets may help to reduce risk factors of cardiovascular diseases., (© 2022 Wiley Periodicals LLC.)

Objectives: Inflammatory process and apoptosis are involved in the pathogenesis of cardiac injury and oxidative damage caused by diabetes mellitus. The cardioprotective effects of standardized aqueous ethanolic olive leaf extract (OLE), metformin (as a cardiovascular protective agent) and valsartan (as an angiotensin receptor blocker) in the streptozotocin-induced diabetic rats were evaluated., Methods: Wistar rats divided into control, diabetic, OLE-treated (100, 200 and 400 mg/kg), metformin (300 mg/kg)-treated, valsartan (30 mg/kg)-treated and metformin/valsartan-treated diabetic groups. Biochemical parameters, including malondialdehyde (MDA) levels, superoxide dismutase (SOD) and catalase (CAT) activates, and the total contents of thiol were measured, and histopathological and gene expression studies were done on cardiac tissues. Fasting blood sugar (FBS) and cardiac injury markers were examined in serum., Key Findings: FBS; the serum levels of lactate dehydrogenase (LDH), creatine kinase-muscle/brain (CK-MB), aspartate aminotransferase (AST); and heart tissue MDA levels due to diabetes were significantly alleviated by OLE treatment (effect size; ηp2 = 0.934, 0.888, 0.848, 0.888 and 0.879, respectively), and SOD and CAT activity and the thiol content in heart tissue were significantly increased (effect size; ηp2 = 0.770, 0.749 and 0.753, respectively). Interleukin-1β (IL-1β), tumour necrosis factor-α (TNF-α) and the number of infiltrating inflammatory cells were reduced in cardiac tissues of OLE-treated groups compared with the diabetic rats (effect size; ηp2 = 0.969 and 0.949, respectively). OLE up-regulated BCL2 gene expression and down-regulated BAX gene expression in cardiac tissue (effect size; ηp2= 0.490 and 0.522, respectively)., Conclusion: OLE in a dose-dependent manner ameliorates cardiac damage in diabetic cardiomyopathy, perhaps through attenuating inflammation, oxidative stress and apoptosis., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Royal Pharmaceutical Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: The aim of the present study was to assess olive leaf extract (OLE) effects on learning and memory deficits in a model of diabetes induced by streptozotocin (STZ) in rats., Materials and Methods: The rats were divided as: (1) control rats, (2) diabetic rats, and (3-6) diabetic rats treated by 100, 200, and 400 mg/kg of OLE or metformin. Using the passive avoidance test (PA), we investigated fear learning and memory behaviors. In cortical and hippocampus tissues, total levels of malondialdehyde (MDA) and thiol were measured along with the activity of catalase (CAT) and superoxide dismutase (SOD)., Results: Learning and memory behavior impairment were significantly developed in diabetic rats as shown by the impairment of the PA task compared to the control group (p<0.001). In addition, elevated levels of MDA and reduced overall concentrations of thiol, CAT and SOD activity were obvious in diabetic rats' cortex and hippocampus tissues (p<0.01-p<0.001). Meanwhile, OLE in a dose-dependent manner, improved memory deficit and cognitive performance that was attributed to a reduction of lipid peroxidation and elevation of total thiol concentration, and CAT and SOD activity levels in the brain tissues (p<0.05-p<0.001)., Conclusion: OLE could be effective in improving cognitive impairment in STZ-induced diabetes by oxidative stress depression., Competing Interests: The authors have declared that there is no conflict of interest.

Hepatitis-splenomegaly syndrome is caused by avian hepatitis E virus (aHEV), a nonenveloped, single-stranded RNA virus. The economic importance of this disease in the poultry industry is due to the decline in egg production (10%-40%) and the rise in mortality (1%-4%). In the present study, 1540 serum samples from 33 broiler breeder flocks were analyzed by an enzyme-linked immunosorbent assay for the presence of an anti-aHEV antibody. In addition, a diagnostic nested reverse transcriptase-PCR was done on all farm samples. In the serologic study, 66.7% (22/33) of the flocks and 28.5% (439/1540) of the chickens were positive. The molecular study showed that three farms were positive, and PCR products were observed for the conserved regions of the aHEV helicase and capsid virus genes as 386 bp and 242 bp, respectively. It should be noted that clinical and pathologic symptoms including decreased egg production, enlarged livers and spleens, and a slight rise in mortality rate were observed in eight farms. To our knowledge, this is the first documented study on the aHEV identification and its antibody detection in broiler breeder farms in Iran.

Avian malaria (Plasmodium) and related genera (Haemoproteus and Leucocytozoon) are diverse and widespread parasites. Despite the extent of knowledge on avian haemosporidian parasites, information about domestic and wild bird's blood parasites is overall insufficient in Iran. Prevalence of the haemosporidian parasites' and phylogenetic relationship of lineages are studied by using molecular and morphological results of 152 examined hosts belonging to 17 species. Molecular analysis for haemosporidian detections demonstrated overall prevalence 22.36%. Inspected hosts mostly belonging to Common Pigeons (Columba livia) parasitized by Haemoproteus spp., and Hooded Crows (Corvus cornix) and Carrion Crow (C. corone) were identified as hosting Plasmodium spp. Detected lineages COLIV03, COQUI05, LINN01, ROFI04 and SGS01 are identified as new reports from Iran. We detected no evidence of Leucocytozoon lineages, while the high prevalence of H. columbae was found in Common Pigeons. Such investigation on avian blood parasites contributes to providing new information on the prevalence, epidemiology and geographical distribution of haemosporidian parasites circulating in domestic, pets and wild birds., (© 2021 The Authors. Veterinary Medicine and Science published by John Wiley & Sons Ltd.)

One of the appropriate ways to prevent groundwater contamination is identifying the vulnerable areas of the aquifers. The DRASTIC framework, for assessing the intrinsic vulnerability of the aquifer, is a common method which uses a specific parameter's weight and a uniform distributed contaminant in overall the aquifer. Therefore, it should be calibrated for specific aquifer and contaminant distribution conditions. In this research, random forest (RF) and genetic algorithm (GA) methods were used for DRASTIC framework optimization in Miandoab plain (NW of Iran). In optimizing the basic DRASTIC framework (BDF) using GA, decision variables are the weight of DRASTIC parameters and weight values for each data layer are the outputs of the optimization. The final optimized map (BDF-GA map) was obtained using overlaying the layers with optimized weights based on the GA method. In optimization of BDF using RF, the model is made up of from 1 to 100 trees and the m parameter or split variables was optimized by changing the number of variables between one and the maximum variables of each subset. Also, the feature selection method is used to reduce the dimensions and increase the accuracy of the model. To induct the nitrate contaminant model, raster layer data of 7 BDF parameters, together with the target variable (VI of BDF map), were used. In the final step, variables' importance was identified by the RF method and then, the vulnerability map was obtained based on variable importance. In validation and comparison of methods with CI and ROC methods, the BDF-RF method with the higher CI and ROC values was ranked as the most accurate approach in groundwater vulnerability evaluation. The optimized map using the RF method (BDF-RF map) showed that 14.5, 13, 18, 26.5, and 28% of the plain are located in areas with very low, low, moderate, high, and very high vulnerability categories, respectively., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

We develop and characterize a biomaterial formulation and robotic methods tailored for intracorporeal tissue engineering (TE) via direct-write (DW) 3D printing. Intracorporeal TE is defined as the biofabrication of 3D TE scaffolds inside of a living patient, in a minimally invasive manner. A biomaterial for intracorporeal TE requires to be 3D printable and crosslinkable via mechanisms that are safe to native tissues and feasible at physiological temperature (37 °C). The cell-laden biomaterial (bioink) preparation and bioprinting methods must support cell viability. Additionally, the biomaterial and bioprinting method must enable the spatially accurate intracorporeal 3D delivery of the biomaterial, and the biomaterial must adhere to or integrate into the native tissue. Current biomaterial formulations do not meet all the presumed intracorporeal DW TE requirements. We demonstrate that a specific formulation of gelatin methacryloyl (GelMA)/Laponite ® /methylcellulose (GLM) biomaterial system can be 3D printed at physiological temperature and crosslinked using visible light to construct 3D TE scaffolds with clinically relevant dimensions and consistent structures. Cell viability of 71%-77% and consistent mechanical properties over 21 d are reported. Rheological modifiers, Laponite ® and methylcellulose, extend the degradation time of the scaffolds. The DW modality enables the piercing of the soft tissue and over-extrusion of the biomaterial into the tissue, creating a novel interlocking mechanism with soft, hydrated native tissue mimics and animal muscle with a 3.5-4 fold increase in the biomaterial/tissue adhesion strength compared to printing on top of the tissue. The developed GLM biomaterial and robotic interlocking mechanism pave the way towards intracorporeal TE.

Head nurses' performance plays an important role in the successful operation of hospitals. Identification and prioritisation of managerial competencies required for these supervisors and evaluation of their performance on this basis are necessary. This study aimed to provide a valid tool for assessing managerial competencies of hospital department head nurses. First, through literature review, Delphi technique and expert panel, a competency model was developed. Then using the analytic hierarchy process, competencies were weighted and prioritised. Finally, based on the model, an instrument was designed to measure the competencies of head nurses. Validity and reliability of the instrument was also checked. The proposed framework included 27 competencies categorised by four main managerial tasks: planning, organising, leadership and control. Findings revealed that the highest priority was given to strategic thinking (0.1221) and the lowest priority was given to evidence-based decision making (0.007). Based on impact score and content validity ratio results, the content validity of all questions has been proved. Furthermore through the use of a content validity index, 11 questions were omitted or modified. The study presents a valid and comprehensive model for assessing managerial competencies of hospital department head nurses in order to take an important step towards improving their performance.

Constructing accurate and reliable groundwater risk maps provide scientifically prudent and strategic measures for the protection and management of groundwater. The objectives of this paper are to design and validate machine learning based-risk maps using ensemble-based modelling with an integrative approach. We employ the extreme learning machines (ELM), multivariate regression splines (MARS), M5 Tree and support vector regression (SVR) applied in multiple aquifer systems (e.g. unconfined, semi-confined and confined) in the Marand plain, North West Iran, to encapsulate the merits of individual learning algorithms in a final committee-based ANN model. The DRASTIC Vulnerability Index (VI) ranged from 56.7 to 128.1, categorized with no risk, low and moderate vulnerability thresholds. The correlation coefficient (r) and Willmott's Index (d) between NO 3 concentrations and VI were 0.64 and 0.314, respectively. To introduce improvements in the original DRASTIC method, the vulnerability indices were adjusted by NO 3 concentrations, termed as the groundwater contamination risk (GCR). Seven DRASTIC parameters utilized as the model inputs and GCR values utilized as the outputs of individual machine learning models were served in the fully optimized committee-based ANN-predictive model. The correlation indicators demonstrated that the ELM and SVR models outperformed the MARS and M5 Tree models, by virtue of a larger d and r value. Subsequently, the r and d metrics for the ANN-committee based multi-model in the testing phase were 0.8889 and 0.7913, respectively; revealing the superiority of the integrated (or ensemble) machine learning models when compared with the original DRASTIC approach. The newly designed multi-model ensemble-based approach can be considered as a pragmatic step for mapping groundwater contamination risks of multiple aquifer systems with multi-model techniques, yielding the high accuracy of the ANN committee-based model., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Vulnerability indices of an aquifer assessed by different fuzzy logic (FL) models often give rise to differing values with no theoretical or empirical basis to establish a validated baseline or to develop a comparison basis between the modeling results and baselines, if any. Therefore, this research presents a supervised committee fuzzy logic (SCFL) method, which uses artificial neural networks to overarch and combine a selection of FL models. The indices are expressed by the widely used DRASTIC framework, which include geological, hydrological, and hydrogeological parameters often subject to uncertainty. DRASTIC indices represent collectively intrinsic (or natural) vulnerability and give a sense of contaminants, such as nitrate-N, percolating to aquifers from the surface. The study area is an aquifer in Ardabil plain, the province of Ardabil, northwest Iran. Improvements on vulnerability indices are achieved by FL techniques, which comprise Sugeno fuzzy logic (SFL), Mamdani fuzzy logic (MFL), and Larsen fuzzy logic (LFL). As the correlation between estimated DRASTIC vulnerability index values and nitrate-N values is as low as 0.4, it is improved significantly by FL models (SFL, MFL, and LFL), which perform in similar ways but have differences. Their synergy is exploited by SCFL and uses the FL modeling results "conditioned" by nitrate-N values to raise their correlation to higher than 0.9.

This research presents a Supervised Intelligent Committee Machine (SICM) model to assess groundwater vulnerability indices of an aquifer. SICM uses Artificial Neural Networks (ANN) to overarch three Artificial Intelligence (AI) models: Support Vector Machine (SVM), Neuro-Fuzzy (NF) and Gene Expression Programming (GEP). Each model uses the DRASTIC index, the acronym of 7 geological, hydrological and hydrogeological parameters, which collectively represents intrinsic (or natural) vulnerability and gives a sense of contaminants, such as nitrate-N, penetrating aquifers from the surface. These models are trained to modify or condition their DRASTIC index values by measured nitrate-N concentration. The three AI-techniques often perform similarly but have differences as well and therefore SICM exploits the situation to improve the modeled values by producing a hybrid modeling results through selecting better performing SVM, NF and GEP components. The models of the study area at Ardabil aquifer show that the vulnerability indices by the DRASTIC framework produces sharp fronts but AI models smoothen the fronts and reflect a better correlation with observed nitrate values; SICM improves on the performances of three AI models and cope well with heterogeneity and uncertain parameters., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Introduction: In recent years, there has been an increase in the attention paid to safety effects, environmental and society's health, extremely low frequency electromagnetic fields (ELF-EMF), and radio frequency electromagnetic fields (RF-EMF). The aim of this research was to determine the effect of EMF on the alteration of ovarian follicles., Methods: In this experimental study at Tabriz Medical University in 2015, we did EMF exposures and assessed the alteration of rats' ovarian follicles. Thirty three-month old rats were selected randomly from laboratory animals, and, after their ages and weights were determined, they were divided randomly into three groups. The control group consisted of 10 rats without any treatment, and they were kept in normal conditions. The second group of rats was influenced by a magnetic field of 50 Hz for eight weeks (three weeks intrauterine and five weeks ectopic). The third group of rats was influenced by a magnetic field of 50 Hz for 13 weeks (three weeks intrauterine and ten weeks ectopic). Samples were fixed in 10% buffered formaldehyde and cleared with Xylol and embedded in paraffin. After sectioning and staining, samples were studied by optic microscopy. Finally, SPSS version 17, were used for data analysis., Results: EMF radiation increased the harmful effects on the formation of ovarian follicles and oocytes implantation. Studies on the effects of electromagnetic fields on ovarian follicles have shown that the nuclei of the oocytes become smaller and change shape. There were significant, harmful changes in the groups affected by electromagnetic waves. Atresia of ovarian follicles was significantly significant in both study groups compared to the control group (p < 0.05)., Conclusion: Exposure to electromagnetic fields during embryonic development can cause morphological changes in oocytes and affect the differentiation of oocytes and folliculogenesis, resulting in decreased ovarian reserve leading to infertility or reduced fertility.

Background: inefficient remyelination of demyelinated plaques in multiple sclerosis (ms) leads to secondary axon degeneration and progressive disability. therapies that potentiate remyelination would be of immense help for managing MS., Objective: Here, we report the effects of valproic acid (VPA) on focal experimental autoimmune encephalomyelitis (fEAE)., Methods: fEAE was induced in Wistar rats by immunizing the animals with guinea pig spinal cord homogenate emulsified in complete Freund's adjuvant and with pertussis toxin (PT) injection into the spinal cord at the level of T8 vertebra on day 18 after immunization. VPA 300 mg/kg was applied for 4 days after or 8 days before PT administration. Behavioral evaluation, histological assessment and immunohistofluorescence assays were used to evaluate the outcomes., Results: VPA administration had no effect on the development of symptoms, but after discontinuing VPA, animals showed faster recovery. Eight days of pretreatment with VPA accelerated the recovery phase of EAE and increased the number of remyelinated axons in the lesion area. VPA pretreatment also increased the recruitment of neural stem cells and oligodendrocyte precursors within the lesion., Conclusions: Results suggest VPA as a potential therapy for remyelinating the lesions in MS and for faster recovery from disease relapses. The effect of VPA seems to be mediated by endogenous progenitors recruitment., (Copyright © 2013 S. Karger AG, Basel.)

Chronic demyelinated lesions and subsequent functional impairment are resulted from eventual failure of remyelination process as seen in multiple sclerosis. Activation of adenosine A1 receptor is reported to be effective on neural stem cells (NSCs) proliferation and oligodendrocytes differentiation. Therefore, this study attempted to investigate the effect of A1 receptor agonist N6-cyclohexyladenosine (CHA), on lysolecithin (LPC) induced demyelination and remyelination in rat optic chiasm. The experiments were carried out on male Wistar rats using visual evoked potential recording, myelin staining by Luxol fast blue and histological evaluation of demyelinated and remyelinated axons within the area of lesion. CHA was administrated i.c.v. during demyelination or remyelination phases. As revealed by myelin staining, the most extent of demyelination occurred at 7th day post-lesion (dpl 7), but gradually myelination was restored toward control during days 14-28. VEP P1-latency and P1-N1 amplitude showed widespread demyelination on dpl 7 and 14 which consequently was reversed during days 14-28 post lesion. I.c.v. treatment of animals with CHA during demyelination phase (days 0-13) reduced the extent of demyelination. During remyelination phase (days 14-28), CHA was able to increase remyelination in both electrophysiological and histopathological studies. The effects of CHA seem to be due to its protective effect on myelinating cells and its regenerative effect through potentiating endogenous neural progenitors., (Copyright © 2012 Elsevier B.V. All rights reserved.)