The effect of monsoon on fish larva assemblage changes in Gowatr Bay, North Oman Sea

The study and research of abundance and diversity variation of fish larva (Ichthyoplankton stages) was done in Gowatr Bay during autumn 2006 - summer 2007. Five stations were selected for sampling, and Bongo-Net with 300µ mesh size was towing from bottom to surface. During of survey, totally 531 larvae belong to 11 families were collected and identified. The mean abundance estimated 12.17 larvae per 10 m^2, in which three fish larva family including: Gobiidae, Clupeidae and Engraulidae were dominant (86% of relative abundance). The result showed that there was significant differences between pre and post-monsoon fish larvae abundances (p.05). In pre-monsoon 4 families were identified of which Clupeidae introduced as indicator group, whereas in post-monsoon 10 families were identified and Gobiidae was indicator family, accompany with increase of diversity. PCA result was shown, temperature as the main factor affected on fish larvae assemblage was found with a significant decrease of 11.9 °C after monsoon phenomenon

Fish larval daily assemblage variations in coastal waters of the Chabahar Bay

The survey of fish larvae assemblage variation was done in 2013 seasonally at the coastal areas of Southeastern side of Chabahar Bay. Sampling was done in 3 stations at day and night periods by a Bongo-Net with 300µ of mesh size. 29 families were identified. Clupeidae, Gobiidae and Blenniidae were dominant with more than 50% relative abundance. The PCA result was shown there were two separated groups among day and night fish larval assemblages. Blenniidae ،Scombridae and Clupeidae in day times, Clupeidae ،Gobiidae and Sparidae in night times were more dominant among different families. Station 1 had more fish larvae abundance in autumn in nights and days (54.77 and 79.67 larvae per 10 meter). The average of Shannon index was (0.54 ±0.88 and 0.63± 0.97) in days and nights respectively.Significant increase of larval abundance at station 3 in nights could be due to reduced vessel traffic

Clasificación de unidades por el método de eficiencia cruzada corregido usando pesos óptimos en el intervalo más pequeño

An important method for ranking of decision making units (DMUs) in data envelopment analysis (DEA) is cross-efficiency method. This study proposes a secondary multi-objective model for calculating optimal weights with least dispersion. Firstly, these weights are placed in the smallest interval. Secondly, the cross-efficiency of each of the other units has the least deviation from the CCR efficiency of the same unit. Therefore, optimal weights are obtained which have the least dispersion. As result, the zero optimal weights which lead to the triviality of the relevant index, are avoided as far as possible. Hence, using the average cross-efficiency, the results of the ranking would be more reasonable. Using the proposed model for ranking of six nursing homes, the results show that this model is more accurate. Finally, in order to improve performance of the emergency department of a hospital, the proposed model is used to rank 11 defined scenarios.Un método importante para clasificar las unidades de toma de decisiones (DMU) en el análisis envolvente de datos (DEA) es el método de eficiencia cruzada. Este estudio propone un modelo secundario multiobjetivo para calcular los pesos óptimos con la menor dispersión. En primer lugar, estos pesos se colocan en el intervalo más pequeño. En segundo lugar, la eficiencia cruzada de cada una de las otras unidades tiene la menor desviación de la eficiencia CCR de la misma unidad. Por tanto, se obtienen pesos óptimos que tienen la menor dispersión. Como resultado, se evitan en la medida de lo posible las ponderaciones óptimas cero que conducen a la trivialidad del índice relevante. Por lo tanto, utilizando la eficiencia cruzada promedio, los resultados de la clasificación serían más razonables. Utilizando el modelo propuesto para la clasificación de seis hogares de ancianos, los resultados muestran que este modelo es más preciso. Finalmente, con el fin de mejorar el desempeño del servicio de urgencias de un hospital, se utiliza el modelo propuesto para clasificar 11 escenarios definidos

Clasificación de unidades por el método de eficiencia cruzada corregido usando pesos óptimos en el intervalo más pequeño

Un método importante para clasificar las unidades de toma de decisiones (DMU) en el análisis envolvente de datos (DEA) es el método de eficiencia cruzada. Este estudio propone un modelo secundario multiobjetivo para calcular los pesos óptimos con la menor dispersión. En primer lugar, estos pesos se colocan en el intervalo más pequeño. En segundo lugar, la eficiencia cruzada de cada una de las otras unidades tiene la menor desviación de la eficiencia CCR de la misma unidad. Por tanto, se obtienen pesos óptimos que tienen la menor dispersión. Como resultado, se evitan en la medida de lo posible las ponderaciones óptimas cero que conducen a la trivialidad del índice relevante. Por lo tanto, utilizando la eficiencia cruzada promedio, los resultados de la clasificación serían más razonables. Utilizando el modelo propuesto para la clasificación de seis hogares de ancianos, los resultados muestran que este modelo es más preciso. Finalmente, con el fin de mejorar el desempeño del servicio de urgencias de un hospital, se utiliza el modelo propuesto para clasificar 11 escenarios definidos

Clasificación de unidades por el método de eficiencia cruzada corregido usando pesos óptimos en el intervalo más pequeño

An important method for ranking of decision making units (DMUs) in data envelopment analysis (DEA) is cross-efficiency method. This study proposes a secondary multi-objective model for calculating optimal weights with least dispersion. Firstly, these weights are placed in the smallest interval. Secondly, the cross-efficiency of each of the other units has the least deviation from the CCR efficiency of the same unit. Therefore, optimal weights are obtained which have the least dispersion. As result, the zero optimal weights which lead to the triviality of the relevant index, are avoided as far as possible. Hence, using the average cross-efficiency, the results of the ranking would be more reasonable. Using the proposed model for ranking of six nursing homes, the results show that this model is more accurate. Finally, in order to improve performance of the emergency department of a hospital, the proposed model is used to rank 11 defined scenarios.Un método importante para clasificar las unidades de toma de decisiones (DMU) en el análisis envolvente de datos (DEA) es el método de eficiencia cruzada. Este estudio propone un modelo secundario multiobjetivo para calcular los pesos óptimos con la menor dispersión. En primer lugar, estos pesos se colocan en el intervalo más pequeño. En segundo lugar, la eficiencia cruzada de cada una de las otras unidades tiene la menor desviación de la eficiencia CCR de la misma unidad. Por tanto, se obtienen pesos óptimos que tienen la menor dispersión. Como resultado, se evitan en la medida de lo posible las ponderaciones óptimas cero que conducen a la trivialidad del índice relevante. Por lo tanto, utilizando la eficiencia cruzada promedio, los resultados de la clasificación serían más razonables. Utilizando el modelo propuesto para la clasificación de seis hogares de ancianos, los resultados muestran que este modelo es más preciso. Finalmente, con el fin de mejorar el desempeño del servicio de urgencias de un hospital, se utiliza el modelo propuesto para clasificar 11 escenarios definidos

Ischemic stroke and intracerebral hemorrhage in patients with COVID-19

Introduction. Patients with coronavirus disease 2019 (COVID-19) can exhibit neurological symptoms and diseases. A few studies have focused on cerebrovascular diseases in patients with COVID-19. In the present study, we as-sessed medical records of patients with COVID-19 with stroke. Material and methods. Forty-seven COVID-19 patients with stroke were consecutively selected and reviewed. Medical records of the patients including information on age, gender, severity of pulmonary involvement (intubation or non-intubation) in COVID, presence of ICH and ischemic stroke, localization of ICH, history of diabetes and hyper-tension were collected. Results. Twenty-three COVID-19 patients (49%) had ICH and 24 COVID-19 patients (51%) had ischemic stroke. Sixteen COVID-19 patients with ICH (69.6%) had lobar hemorrhage and 7 COVID-19 patients with ICH (30.4%) had non-lobar hemorrhage (p =0.093). Conclusions. In this study, ICH and ischemic stroke were present at roughly the same rate in COVID-19 patients with stroke. Lobar hemorrhage was seen more frequently in COVID-19 patients with ICH. Brain and cerebrovascular imaging can be a helpful component of the work-up in COVID-19 patients.</p

Providing database of Iranian fish larvae under Iranian fisheries research organization net work

This project prepared and implemented during 2013-16 with emphasis on to provide the results of the fish larva projects (identification, abundance and distribution) in the Iranian waters of the Persian Gulf and Gulf of Oman which as well as had already been done by Iranian Fisheries Science Research Institute and affiliated research institutes and centers . Since each marine fish stocks management requires increased knowledge of the life cycle and be complete biological information, obviously implementation and increased field research is essential, on the other hand the results and the availability of data and information to operation and coordination with the scientific community at national and international levels is of particular importance. This is on condition that currently, due to the increasing trend researchers and students Aquatic Sciences and Fisheries, the availability of data resulting from studies and research projects and initiatives will be necessary. The site is currently only in view of identification and distribution of marine fish larva has been prepared in Farsi with photo gallery, and English language development and preparation of the site for the international operation there. It is worth mentioning in the same areas and the same site adjacent seas of fish larvae has not been prepared and is not available. So this site can also be considered as reference area. This site is available for researchers, scientist and students as address: http://ifl.ifro.ir

MORPHOMETRIC ANALYSIS OF THE COMMON CARP, (CYPRINUS CARPIO LINNAEUS, 1758) IN ANZALI LAGOON, SOUTH WEST CASPIAN SEA

We used electroshocker, cast net and gillnet twice a week in four areas of Anzali Lagoon from April to September 2001 to sample common carp (Cyprinus carpio). Specimens were subjected to biometric measurements in the lab. In all, eighteen morphometric and seven meristic measurements were done on the samples. We determined the equation for the fish total fork length and body weight for males and females. Also, Van Berta1anffygrowth model was applied to the male and female fish