Performance of Brinjal (Solanum melongena) Genotypes through Genetic Variability Analysis

The physiomorphological divergence was assessed in fifteen brinjal genotypes by using cluster mean analysis and mean difference to identify parental genotypes for future breeding program in order to develop new high yielding varieties in randomized complete block design with three replications. Plant height, days to first flowering, number of branch and number of fruits per plant have the highest percent of variations among the traits. The genotypes under the experiment were grouped into five clusters. The highest inter cluster distance was found between cluster III and IV followed by IV and V. According to relative contributions of the nine characters length of fruit and yield per plant have the prominent influence towards varietal improvement. Selecting genotypes from distant clusters probably provide promising recombinants and better segregants for future breeding platform

Characterization of fluid and thermal transport in copper metal foam wicks

Thermal management of electronics has become a major challenge in manufacturing and production of high performance electronic chips. Constant rise of computation power requires higher amount of energy and subsequently this energy (in the form of heat) should be transferred out of the computer. Among other solutions, heat pipes are proposed as a means to transfer and eventually remove this excess heat. The main part of a typical heat pipe is the wick which provides a medium for transport of capillary driven flow and evaporation at the vapor-liquid interface. Different materials are proposed as wick for a heat pipe and among them, recently invented Bi-porous metal foams exhibit a very significant performance improve, i.e. high transport limit in comparison with competing materials. By a mainly experimental approach, capillary, wetting and evaporation properties of copper metal foams with different porosities have been investigated. An in depth surface characterization study is done on the foams to identify the role of surface wettability on the capillary performance. It is found for the first time that the hydrophilicity loss of the copper based porous materials when exposed to air is caused by the adsorption of volatile organic compounds and not by copper oxidation. It is also inferred that the reason for high transport limit of the foams compared with other materials is their unique microstructure which has two levels of porosity. This biporous microstructure provides paths for liquid transport with low pressure drop while the smaller pores provide for thin film evaporation and produce high capillary pressure. Permeability and effective pore radius, as two key parameters defining the pumping capacity, are measured experimentally by the rate of rise method. It is also found that the evaporation rate of a rising liquid in a porous material is lower compared with that of the same material while saturated with stationary liquid. This will allow ignoring natural evaporation in the rate of rise method and using simplified models to capture permeability and effective pore radius. The role of meniscus recession in capillary pumping and evaporation rate is characterized for the first time and a model is proposed to measure the effective pore radius of porous materials in operating conditions. It is shown that the effective pore radius can decrease up to 50% due to forced evaporation. In a more general perspective, through different experiments, it is shown that there is a coupling between capillarity and evaporation. This coupling is established through variation in meniscus shape which will affect both capillarity and evaporation. The findings of this thesis will shed light on the capillarity, evaporation and their interconnected nature in the capillary wicks in two phase thermal management devices

Investigation of Environmental and Biological Effects of Rare Earth Elements (REEs) with a Special Focus on Industrial and Mining Pollutions in Iran: A Review

The present article is a review study on the types of rare earth elements (REEs), environmental and biological effects as well as the sources of emission of these elements as pollution in nature. The purpose of this study is to provide a vision in environmental planning and control of pollution caused by REEs. The evaluation of rare earth elements was studied in human life and its environmental and biological effects, which have particular importance and are entering the life cycle through industrial and mining pollution sources. Since mining activities intensify the dispersion of these elements in the environment and the existence of industrial factories located around urban drainage system plays a unique role in creating and spreading pollution caused by rare earth elements; As a result, two case studies were conducted on two mining and industrial areas. The first case is the Choghart mine in Yazd province as an example of mining pollution,and the second case study is performed on the Kor river as an example of industrial pollution which is caused by industrial activities around it, Then the results are well explained to show both two environments of litho and hydro. Due to this fact that produced environmental pollution can cause exchange pollutant compounds with the surrounding environment besides its long-lasting destructive effects; It can cause irreversible biological effects on living organisms. By targeting this evaluation, several techniques can be proposed to prevent the entry and dispersal of rare earth elements from pollution sources besides methods to reduce the damage of these elements to the ecosystem

Effect of Nitrogen Rates and Foliar Spray of Micronutrients on Growth and Yield of Sesame (Sesamum indicum L.)

To find out optimum nitrogen (N) and micronutrients (MNs) doses for the growth and yield of sesame the experiment was undertaken at Sher-e-Bangla Agricultural University Research field, Dhaka, during April to July 2013 with three replications in a randomized complete block design (RCBD). Three different N levels viz. N0= without N, N1= 60 kg h-1, N2=120 kg h-1 and four micronutrients (MNs) levels viz. M0= without MNs, M1= 50 ppm MNs, M2= 100 ppm and M3= 150 ppm MNs. The N significantly increased morphological characters - plant height, number of  leaves plant-1, branch number plant-1, fresh and dry weight of shoot and root; yield contributing characters-  number of pod plant-1, pod diameter, pod length, seed weight plant-1, seed weight plot-1 compared to control (N0). The rate of application of N 60 kg ha-1 produced the highest seed yield (1.21 t ha-1) which is consisting with most of the vegetative growth of sesame. Foliar application of different concentration of micronutrients also improved the morphological characters and seed yield of sesame as N. Interestingly 1000-seed weight did not show any significant differences with both  N and micronutrients. The maximum number of pod plant-1, pod diameter, pod length, seed weight plant-1, seed yield (1.14 tha-1) significantly increased with 150 ppm micronutrients. Therefore, this experimental results suggest that the use of 60 kg Nha-1 and 150 ppm micronutrients have produced highest seed yield of sesame by adjusting in plant morphological characters and yield contributing characters of sesame

Investigation of Magneto-/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, IRAN)

The study area is located near Toot village in the Yazd province of Iran, which is considered in terms of its iron mineralization potential. In this area, due to radioactivity, radiometric surveys were performed in a part of the area where magnetometric studies have also been performed. According to geological studies, the presence of magnetic anomalies can have a complex relationship with the intensity of radioactivity of radioactive elements. Using the K-means clustering method, the centers of the clusters were calculated with and without considering the coordinates of radiometric points. Finally, the behavior of the two variables of magnetic field strength and radioactivity of radioactive elements relative to each other was studied, and a mathematical relationship was presented to analyze the behavior of these two variables relative to each other. On the other hand, the increasing and then decreasing behavior of the intensity of the Earth’s magnetic field relative to the intensity of radioactivity of radioactive elements shows that it is possible to generalize the results of magnetometric surveys to radiometry without radiometric re-sampling in this region and neighboring areas. For this purpose, using the general regression neural network and backpropagation neural network (BPNN) methods, radiometric data were estimated with very good accuracy. The general regression neural network (GRNN) method, with more precision in estimation, was used as a model for estimating the radiation intensity of radioactive elements in other neighboring areas

Geostatistical and Remote Sensing Studies to Identify High Metallogenic Potential Regions in the Kivi Area of Iran

The Kivi area in the East Azerbaijan Province of Iran is one of the country’s highest-potential regions for metal element exploration. The primary goal herein was to process the data obtained from geochemical, geostatistical, and remote sensing tools (in the form of stream sediment samples and satellite images) to identify metallic mineralization anomalies in the region. After correcting the raw stream sediment geochemical data, single-variable statistical processing was performed, and Ti and Zn were identified as the elements with the highest degree of contrast. The relationship among these elements was further investigated using correlation and hierarchical clustering analyses. Principal component analysis was then applied to determine the principal components related to these elements, which were subsequently plotted on a regional geological map. Elements related to Ti and Zn were identified using threshold limits of anomalous samples determined via linear discriminant analysis. Lithological units and alteration patterns were detected through remote sensing investigations on Landsat-8 images. Stream sediment geochemical and remote sensing survey results identified anomalous areas of Ti and Zn in the eastern part of the study region. Our results indicate that Ti and Zn are good pathfinder elements for further exploratory investigation in this area

Clinical Assessment and Management of Spondyloarthritides in the Middle East: A Multinational Investigation

Data on spondyloarthritis (SpA) from the Middle East are sparse and the management of these diseases in this area of the world faces a number of challenges, including the relevant resources to enable early diagnosis and referral and sufficient funds to aid the most appropriate treatment strategy. The objective was to report on the characteristics, disease burden, and treatment of SpA in the Middle East region and to highlight where management strategies could be improved, with the overall aim of achieving better patient outcomes. This multicenter, observational, cross-sectional study collected demographic, clinical, laboratory, and treatment data on 169 consecutive SpA patients at four centers (Egypt, Kuwait, Qatar, and Saudi Arabia). The data collected presents the average time from symptom onset to diagnosis along with the presence of comorbidities in the region and comparisons between treatment with NSAIDs and biologics. In the absence of regional registries of SpA patients, the data presented here provide a rare snapshot of the characteristics, disease burden, and treatment of these patients, highlighting the management challenges in the region

Ore Genesis of the Abu Ghalaga Ferro-Ilmenite Ore Associated with Neoproterozoic Massive-Type Gabbros, South-Eastern Desert of Egypt: Evidence from Texture and Mineral Chemistry

Massif-type mafic intrusions (gabbro and anorthosite) are known for their considerable resources of vanadium-bearing iron–titanium oxide ores. Massive-type gabbroic and anorthosite rocks are frequently associated with magmatic rocks that have significant quantities of iron, titanium, and vanadium. The most promising intrusions that host Fe-Ti oxide ores are the gabbroic rocks in the south-eastern desert. The ilmenite ore deposits are hosted in arc gabbroic and anorthosite rocks. They are classified into three types, namely black ore, red ore, and disseminated ore. The black ilmenite ore is located at the deeper level, while the oxidized red ore is mainly located at or near the surface. Petrographically, the gabbro and ilmenite ores indicate a crystallization sequence of plagioclase, titaniferous pyroxene, and ilmenite. This reveals that the ilmenite is a magmatic deposit formed by the liquid gravity concentration of ilmenite following the crystallization of feldspar and pyroxene. Meanwhile, quartz, tremolite, zoisite, and opaque minerals are accessory minerals. The Fe-Ti ores are composed of ilmenite hosting exsolved hematite lamellae of variable sizes and shapes, gangue silicate minerals, and some sulfides. The X-ray diffraction (XRD) data reveal the presence of two mineral phases: ilmenite and hematite formed by the unmixing of the ferroilmenite homogeneous phase upon cooling. As a result, the ore is mostly made up of hemo-ilmenite. Using an electron microscope (SEM), as well as by observing the textures seen by the ore microscope, ilmenite is the dominant Fe-Ti oxide and contains voluminous hematite exsolved crystals. Under the scanning electron microscope, ilmenite contained intergrowths of hematite as a thin sandwich and lens shape. The formation of hematite lamellae indicates an oxidation process. Mineral chemistry-based investigations reveal late/post-magmatic activity at high temperatures. The examined ilmenite plots on the ferro-ilmenite line were created by continuous solid solution over 800 °C, whereas the analyzed magnetite and Ti-magnetite plot near the magnetite line and were formed by continuous solid solution exceeding 600 °C

Geochemical relations among elements in stream sediment samples from Siojan Prospecting Area, Iran using geostatistical methods

Stream sediment samples play an important role in identifying potential areas of metallic and non-metallic mineralization in mineral exploration studies. The relationship of geochemical elements with each other shows how the elements are distributed in the area. Also, by identifying related elements, sampling and targeted chemical analysis can be used in the next stages of exploration. The purpose of this study is to investigate the elements related to the copper element in the Siojan prospecting area, which is located in South-Khorasan province and 30 km northwest of Birjand city of Iran. In Siojan area, 120 stream sediment samples of a 60 square kilometer area were collected to detect geochemical anomalies and were consequently analyzed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) for 45 elements. Preliminary geological studies showed that the studied area has copper mineralization potential, and therefore, copper was selected as the target element in this study. Copper trace elements were identified in the area and the results were used to identify copper mineralized anomalies. For the elemental analysis data, methods of Principal Component Analysis (PCA), Factor Analysis (FA), Hierarchical Cluster Analysis (HCA) and K-Means Clustering were performed to identify the relevant elements and relationships among them. Statistical analysis of the concentration of geochemical elements in the region revealed that copper and cobalt elements were identified as two elements of the same family in terms of geochemical genetics. The average value for copper and cobalt elements in the analyzed samples was 27.2 ppm and 15.5 ppm, respectively. Finally, the relationship between copper and cobalt elements was modeled as an equation using the K-Means Clustering algorithm

Rosmarinic acid, major phenolic constituent of Greek sage herbal tea, modulates rat intestinal SGLT1 levels with effects on blood glucose

Scope: Previous results suggested that the effects of Salvia fruticosa tea (SFT) drinking on glucose regulation might be at the intestinal level. Here we aim to characterize the effects of SFT treatment and of its main phenolic constituent – rosmarinic acid (RA) – on the levels and localization of the intestinal Na+/glucose cotransporter-1 (SGLT1), the facilitative glucose transporter 2 and glucagon-like peptide-1 (GLP-1). Methods and results: Two models of SGLT1 induction in rats were used: through diabetes induction with streptozotocin (STZ) and through dietary carbohydrate manipulation. Drinking water was replaced with SFT or RA and blood parameters, liver glycogen and the levels of different proteins in enterocytes quantified. Two weeks of SFT treatment stabilized fasting blood glucose levels in STZ-diabetic animals. The increase in SGLT1 localized to the enterocyte brush-border membrane (BBM) induced by STZ treatment was significantly abrogated by treatment with SFT, without significant changes in total cellular transporter protein levels. No effects were observed on glucose transporter 2, Na+/K+-ATPase or glucagon-like peptide-1 levels by SFT. Additionally, SFT and RA for 4 days significantly inhibited the carbohydrate-induced adaptive increase of SGLT1 in BBM. Conclusion: SFT and RA modulate the trafficking of SGLT1 to the BBM and may contribute to the control of plasma glucose.We thank NANTA, Fábrica de Moagem do Marco S.A., Portugal, for offering the Soybean meal 47.5 (LC diet). M. F. A. was supported by the Foundation for Science and Technology, Portugal, through the grant SFRH/BD/12527/2003. This work was supported by the Foundation for Science and Technology, Portugal, through the research grant POCI/AGR/62040/2004