Assessment of Flood Hazard using Analytic Hierarchy Process Method (AHP) in Mazandaran Province, Iran

One of the most important steps to prevent and deal with the destructive effects of floods is to identify areas with the highest flood potential in the watershed and its sub-basins. In this research, an attempt was made to determine the regions with the highest capacity of runoff and flood production in Mazandaran Province basin using the hierarchical analysis process (AHP) model. On this basis, six factors including heights, slope, land use, geology, flow accumulation, and rainfall were used. After calculating the final weight of each input factor using the hierarchical process model in ArcGIS (V. 10.5) software, a combination of input layers was used to construct a flooding map of the study area in five different categories including very high, high , Medium, low, and very little. Results showed that 38.79% of the Mazandaran Province, equivalent to the area of 9244.82 km2, has a high and very high flooding hazard. Moreover, almost half of this province, equivalent to the area of 12028.51 km2 has a moderate flooding hazard. The results reveal that flooding hazard at each hydrometric stations was in good agreement with the historical observations of floods, that most of them have the return periods of 50- and 100-year. It implies the high accuracy of the method and the weights assigned to each of the effective factors. This clarifies the usability of this research results for future preventive implementation

SignCol: Open-Source Software for Collecting Sign Language Gestures

Sign(ed) languages use gestures, such as hand or head movements, for communication. Sign language recognition is an assistive technology for individuals with hearing disability and its goal is to improve such individuals' life quality by facilitating their social involvement. Since sign languages are vastly varied in alphabets, as known as signs, a sign recognition software should be capable of handling eight different types of sign combinations, e.g. numbers, letters, words and sentences. Due to the intrinsic complexity and diversity of symbolic gestures, recognition algorithms need a comprehensive visual dataset to learn by. In this paper, we describe the design and implementation of a Microsoft Kinect-based open source software, called SignCol, for capturing and saving the gestures used in sign languages. Our work supports a multi-language database and reports the recorded items statistics. SignCol can capture and store colored(RGB) frames, depth frames, infrared frames, body index frames, coordinate mapped color-body frames, skeleton information of each frame and camera parameters simultaneously.Comment: The paper is presented at ICSESS conference but the published version by them on the IEEE Xplore is impaired and the quality of figures is inappropriate!! This is the preprint version which had appropriate format and figure

The frequency of psychiatric disorder co‐morbidities in patients with fibromyalgia: A cross‐sectional study in Iran

Abstract Aim This study aimed to investigate psychiatric disorders in Iranian female patients with fibromyalgia (FM). Design Female patients, newly diagnosed with FM, were interviewed by a psychiatrist for psychiatric assessments during a 2‐year period. Methods The diagnosis of the psychiatric disorders was based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM‐5), and sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Results In total, 159 patients with the mean age of 42.15 ± 9.89 were recruited in this study. Over 92% of the cases were also diagnosed with at least one type of psychiatric disorder. Sleep disorders (SDs, 90.57%), mood disorders (MDs, 52.83%), personality disorders (PDs, 40.25%) and anxiety disorders (ADs, 16.98%) were the most prevalent diagnoses among these patients. The logistic regression results correspondingly showed that suffering from Cluster‐B PDs was associated with a higher prevalence rate of somatic symptom disorders (SSDs), with a p‐value of 0.019 and an odds ratio (OR) of 2.7

Physicochemical, Thermal, and Morphological Properties of Chitosan Nanoparticles Produced by Ionic Gelation

Chitosan nanoparticles (CSNPs) can be widely used in the food, pharmaceutical, and cosmetic sectors due to their high performance, unique properties, and high surface area. In this research, CSNPs were produced by the ionic gelation method and using sodium tripolyphosphate (STPP) as an appropriate technique compared to the conventional methods. To evaluate the effects of various factors on the size, zeta potential (ZP), and optimal synthesis conditions, different concentrations of CS (1, 3, and 5 mg/mL), STPP (0.5, 0.75, and 1 mg/mL), and CS to STPP ratio (1:1, 3:1, and 5:1) were applied and optimized using the response surface methodology. The size of CSNPs was increased by using higher concentrations of CS, STPP, and CS/STPP ratios. The value of ZP was determined positive and it increased with increasing CS concentrations and CS/STPP ratios. ATR-FTIR spectra revealed interactions between CS and STPP. The DSC thermogram of CSNPs showed a double sharp endothermic peak at about 74.5 °C (ΔH = 122.00 J/g); further, the TGA thermograms indicated the total weight loss of STPP, CS, and CSNPs as nearly 3.30%, 63.60%, and 52.00%, respectively. The XRD data also revealed a greater chain alignment in the CSNPs. Optimized, the CSNPs can be used as promising carriers for bioactive compounds where they also act as efficient stabilizers in Pickering emulsions

A rare case report of extensive mandibular osteoma corrected by unilateral mandibulectomy: cytological, radiological, and pathological investigation

Background: Osteoma is a benign bone tumor that rarely affects animals. The most common bones involved with this tumor included the mandible, maxillofacial bones, and nasal sinuses. Definitive diagnosis is based on pathology findings which allow for differentiation with other bone lesions. Case Description: The patient, a five-year-old intact male Mongrel dog presented with a huge mandibular mass that involved both the right and left mandible, and led to dental occlusion. The radiography was performed and depicted the intense mass with a well-demarcated edge, a short transitional zone between normal and abnormal bone, and a smooth rounded radiopaque appearance. The investigation according to the fine needle aspiration showed the presence of oval to spindle shape cells with poorly malignancy criteria, fatty cells, reactive osteoblasts and osteoclasts based on a population of spindle-shaped cells, and low numbers of degenerated neutrophils, bacteria, and few macrophages. Then, the radiographic assessments and cytology findings demonstrated the osteoma and referred for surgical intervention. A unilateral mandibulectomy was performed, and the lesion was send to the histopathology laboratory. The histopathology evaluation showed osteocyte proliferation without malignancy features. The osteoblast cells also showed no atypical proliferation that endorses the osteoma tumor. Conclusion: Although, mandibular and maxillofacial bone resection in small animals have different tolerations, this patient became a candidate for surgery for future better nutrition and prevention of facial deformity and dental malocclusion. Follow-up after osteoma is one of the most necessary post-operation treatments to check the regeneration of the mass. There are considerable data in this report that should regard this tumor as a possible differential diagnosis for mandibular tumors. [Open Vet J 2023; 13(3.000): 382-387

Determining Flood Zonation Maps, Using New Ensembles of Multi-Criteria Decision-Making, Bivariate Statistics, and Artificial Neural Network

Golestan Province is one of the most vulnerable areas to catastrophic flood events in Iran. The flood severity in this region has grown dramatically during the last decades, demanding a major investigation. Accordingly, an authentic map providing detailed information on floods is required to reduce future flood disasters. Three ensemble models produced by the combination of Evaluation Based on Distance from Average Solution (EDAS) and Multilayer Perceptron Neural Network (MLP) with Frequency Ratio (FR), and Weights of Evidence (WOE) are used to quantify the map flood susceptibility in Golestan Province, in the north of Iran. Ten flood effective criteria, namely altitude, slope degree, slope aspect, plan curvature, distance from rivers, Topographic Wetness Index (TWI), rainfall, soil type, geology, and land use, are considered for the modeling process. The flood zonation maps are validated by the receiver operating curve (ROC). The results show that the most precise model is MLP-FR (AUROC = 0.912), followed by EDAS-FR-AHP (AUROC = 0.875), and EDAS-WOE-AHP (AUROC = 0.845). The high accuracies of all methods applied to illustrate their capability in predicting flood susceptibility in future studies

Gastrointestinal helminthes of green–winged teal (Anas crecca) from North Iran

Objective: To determine the helminth parasites of Anas crecca (A. crecca) in one of proper refuges of Iran, Fereydunkenar. Methods: A total number of one hundred thirty-six gastrointestinal tracts of green-winged teal (A. crecca) were collected from Fereydunkenar, Mazandaran province during September and October 2011. The gastrointestinal tracts were examined for helminth infection. Results: The total infection rate was 70.50% (96) that 68.96% (40) of males and 71.79% (56) of females shown helminthes infection. The examined A. crecca harbored one species of Nematoda, Cestoda and two species of Digenea which were as following: Contracaecum larvae (from stomach wall), Diorchis stefanskii (D. stefanskii) (from small intestine), Hypoderaeum conoideum (from small intestine) and Notocotylus attenuatus (N. attenuatus) (from caecum), respectively. There was no significant difference in the prevalence of infection between examined males and females ducks in Hypoderaeum conoideum, D. stefanskii and N. attenuatus (P>0.05) whereas a significant relationship was observed between males and females in Contracaecum larvae (P<0.05). Conclusions: Based on the results of the present study, we conclude that A. crecca plays a prominent role in transmission of mentioned parasites. In addition, this is the first report of Contracaecum larvae, D. stefanskii and N. attenuatus from A. crecca in Iran

Turbulence Characteristics in Mild and Steep Entrance Slopes of Pool-Riffle Sequences

This study investigates the distributions of velocity and Reynolds stress in an artificial pool-riffle sequence for two entrance slopes of 5° and 20° in a laboratory and compares the results with a similar pool-riffle sequence in a gravel-bed river in central Iran. Quadrant analysis is applied to find out the contributions of different events on turbulent flow structures. At an entrance slope of 5°, the velocity distribution follows an exponential trend without flow separation, but for the entrance slope of 20°, the velocity distribution indicates a S-shaped pattern with flow separation. Variation of entrance slope does not influence the convex form of Reynolds stress (RS) distribution, but it influences the location of the maximum value of RS and the flow separation zone length. The results reveal that outward and ejection are the dominant events for both field and laboratory settings. The sweep displays a decreasing trend from near the bed toward the water surface, however, the outward contribution indicates an increasing trend from the bed toward the water surface. The agreement between laboratory and field results in velocity and Reynolds stress will help the river engineers to better manage complex fluvial processes. Bursting process events depend on the aspect ratio for the same entrance pool slope. The agreement in the results of velocity and Reynolds stress distributions and the dominant events of bursting process in the laboratory and field are encouraging for better restoration of rivers and decreasing the cost of projects