Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Polymorphism Information Content (PIC) Using SSR Molecular Markers on Local Species of Citrullus Colocynthis. Case Study: Iran, Sistan-Balouchestan Province

Studying polymorphism information content in plants, particularly local plants which are rich in genetic variety, can play an efficient role in building genetic bank and species’ breeding. Iranian colocynth is highly important in terms of medicinal and therapeutic traits and hence, it needs assessing the polymorphism information content. In present research, simple sequence repeat (SSR) markers are used. 32 samples are randomly collected from local accumulations in 8 regions of Sistan-Balouchestan province. DNA extraction from each sample was done using Cetyltrimethylammonium Bromide. 10 primers were designed and used in this study. Polymerase chain reaction was done using extracted DNA and ten primers. To analyze genetic data, NTSYS pc ver.2/2, Genalex 6.5 and XLSATAT software were used. Regarding data analysis of respective values and taking this fact into account that7 out of 10 used primers showed polymorphism information content in respective samples, their classification was not possible and hence, categorization of similar shapes was not performed due to highly genetic diversity of this species and, also, each value had a different shape.
Indices in Pregnant Streptozotocin-Induced Diabetic Rats Treated with Gliclazide and Insulin

Introduction: GDM (gestational diabetes mellitus) is a common complication of pregnancy, and prevalence has become alarming. Insulin remains the cornerstone in management of diabetes mellitus but oral agents have been increasingly viewed as potential alternatives to insulin because it’s economically low in cost, easier to administer and affordable to monitor compare to insulin. Aim: This study aimed to determine the effects of Gliclazide on the heart cytoarchitectonic and some biochemical indices of pregnant STZ (streptozotocin)-induced diabetic rats compare with insulin. Methods: Twenty (20) pregnant Sprague Dawley rats weighing between 130 g and 150 g were used for the experiments. The rats were divided into four (4) groups: Group 1 (Non-diabetic), Group 2 (Diabetic), Group 3 (Diabetic + Gliclazide) and Group 4 (Diabetic + Insulin). The glucose levels and body weights were monitoring daily. The experimental rats were sacrificed on the 19th on gestational period, blood samples and organs were collected for biochemical and histo-morphological examinations. Results: Gliclazide group rats showed significant increase in body weight compared with diabetic group (p ≤ 0.05). The blood glucose level of rats in gliclazide group was significantly reduced compared with other groups. There was significant increase in reduced GSH (glutathione) of gliclazide and insulin groups compared with diabetic group. MDA (malondialdehyde) and CAT (catalase) levels activities were significantly increase in diabetic group compared with other groups. Hormonal profiles and hematological parameters are significantly increased in gliclazide, and insulin group compared with diabetic group. There were distortions in the structural organization of heart of diabetic group while gliclazide and insulin groups showed remarkable improvements of the degenerative changes of the myocardium. Conclusions: Gliclazide glycemic control has shown beneficial effects on the cardiomyocytes damage in STZ-induced diabetic rats by maintaining the histological integrity of the heart leading to reduced degenerative changes in the myocardium.
Biological and molecular characterization of a Tospovirus isolate from tomato and its relationship with other Tospoviruses

A Tospovirus was isolated from tomato (Lycopersicon esculentum Mill) plants showing severe necrosis of leaves and growing buds. Host range studies indicated that the tomato Tospovirus isolate was closely related to Groundnut bud necrosis virus (GBNV). Sequence analyses of nucleocapsid protein (N) gene showed that the amino acid sequence identity with GBNV was 96% while the identities with other Tospoviruses were in the range of 16-85%. On this basis, it is concluded that the tomato Tospovirus should be considered as a strain of GBNV and designated as GBNV-To.
Tailoring One-Pass Asymmetric Rolling of Extra Low Carbon Steel for Shear Texture and Recrystallization

Systematic single pass rolling experiments were carried out at room temperature on extra low carbon steel by varying the roll diameter ratio between 1:1 to 1:2 and thickness reduction per pass in the range of 20–75%. The aim of this study was to define the conditions under which the rolling texture can transit into a shear texture. The consequences for grain fragmentation, tensile strength, recrystallization texture, and grain growth kinetics were also studied. It was found that in a certain range of thickness reduction per pass and asymmetric ratio, an effective rotation towards the shear texture takes place in conventional rolling. The value of the shear coefficient factor (shear strain rate/rolling strain rate) in asymmetric rolling depends on the selection of thickness reduction per pass. The measured value of shear coefficient was found to be independent of the number of passes used in asymmetric rolling. The consequence of arising shear textures is an acceleration of grain fragmentation. After rapid heat treatment, both tensile strength and recrystallization kinetics of asymmetric rolled sheets showed merits over the conventional rolling. Only the evolved Goss orientation from asymmetric conditions of deformation shows higher stability than any other preferred shear texture components after complete recrystallization.
First Commercial Thinnings in Peatland Pine Stands: Effect of Timing on Fellings and Removals

The aim of this study was to examine the fellings and removals and their dimension distributions in first commercial thinnings in Scots pine (Pinus sylvestris L.) stands growing on drained peatlands, when the cuttings are carried out at different stages of thinning maturity. The reference for standard thinning maturity was defined as in the present guidelines for silviculture on upland sites in nonindustrial, privately owned pine forests in Finland. Experimental and/or simulated thinnings were applied in altogether fifteen stands representing a wide range in site productivity, climate, and time elapsed since first ditching, and premature (7 cases), mature (11), and over-mature (15) stages for thinning. The average stemwood volumes of fellings were 51, 69, and 92 m3ha-1 and those of harvest removals 36, 59, and 84 m 3 ha -1 for premature, mature, and over-mature cases, respectively. The removals from stands mature and over-mature for thinning were large enough to enable a commercially profitable harvesting operation in most cases, unlike those from the premature stands where the fellings were barely harvestable and consisted of clearly smaller stems. Considering the obvious trends of increasing supply and simultaneously decreasing price competitiveness of pine pulpwood, our results do not support early thinning unless absolutely necessary from the silvicultural point-of-view. Retarding the thinning until the stage when thinning maturity criteria are actually met, i.e. till stand dominant height of ca. 15 m or even further, would result in markedly better harvesting profitability and hence enhance the implementation of thinnings as a part of the best management practices of peatland stands.
Future climate of the Caribbean from a regional climate model

Scenarios of rainfall and temperature changes for the period 2071–2100 under the A2 and B2 Special Report on Emissions scenarios are examined using the Hadley Centre Providing Regional Climates for Impacts Studies regional climate model. The model simulates ‘present‐day’ (1979–1990) rainfall and temperature climatologies reasonably well, capturing the characteristic bimodality of Caribbean rainfall and the boreal summer maximum and winter minimum temperatures. Seasonal spatial patterns are also reproduced, but rainfall amounts are underestimated over the northern Caribbean island masses, including Cuba, Jamaica, Hispaniola and Puerto Rico. Temperatures over the region are also overestimated by 1–3 °C. For the period 2071–2100, temperatures are projected to increase across the region by 1–4 °C for all months irrespective of the scenario. The rainfall response varies with season with one of the more robust changes being an intensification of a gradient pattern in November–January, in which the northern Caribbean (i.e. north of 22°N) gets wetter and the southern Caribbean gets drier. There is also a robust June–October drying signal. The results point to changes in the regional circulation patterns due to the human‐induced climate change and warrants further investigation. Copyright © 2010 Royal Meteorological Society
The Safety Impact of Additional Blue Lights of Rescue Vehicles

This work is a preliminary study on behalf of the Bavarian Red Cross (BRK). It examines if and to what effect an impact on traffic safety can be measured when BRK ambulance vehicles are equipped with additional blue lights on the front fender next to the front lights. The high crash risk particular during emergency drives has been reported in numerous studies. The BRK endeavors to decrease the crash frequency of their ambulance vehicles by improving their visibility especially at intersections and narrow gateways. Therefore, additional side flash lights have been proposed. The purpose of this study is to evaluate the effectiveness of these flash lights. In this context, emergency drives conducted with equipped and unequipped ambulance vehicles were compared. More precisely, the exit of a BRK station and the surrounding road segment was observed for 14 days by a video camera, which enables computer-vision aided analysis of the traffic. Within this time frame, 38 traffic situations of unequipped and 13 situations of equipped ambulance vehicles could be observed. The trajectories of interacting road users in these situations were analyzed. The use of Surrogate Safety measures appeared to be not practicable to obtain statistical significant results due to few interacting trajectories and no critical situations. Instead, indicators for the adaption of road users to ambulance cars leaving the station were used, like deceleration, position and time of braking and time of reaching walking speed. The indicators showed, that road users entered the observation area slower encountering equipped ambulance vehicles - probably due to prior braking - than was measured at emergency drives without additional flash lights. Furthermore, road users on average were breaking 3.5 m earlier, less intensely and reached walking speed 4 m earlier when ambulance vehicles were equipped with additional flash lights.
Stationary and pulse electrodeposition of CoNi and CoNiCu coatings

The kinetics of stationary and pulse potentiostatic electrodeposition of Co, Ni and Cu as well as the possibility for their co-deposition in alloys CoNi and CoNiCu from slightly acidic citrate electrolyte was investigated. The morphologies and the elemental composition of coatings were studied using SEM and EDSA analysis respectively. It was established that at pulse deposition of CoNi the coatings were with smooth surface, crystalline structure with rounded crystals and average size about 200-300 nm at frequency 500 Hz. In the case of triple alloy CoNiCu deposition, with the increase of frequency up to 1 000 Hz a finer nanosized structure was formed, with the Ni content up to 27 %. The Co content in the triple alloy was not influenced substantially by the pulse frequencies and was about 71-76 %, while copper content decreased from 8 % to less than 5 %. The X-Ray analysis indicated that copper, cobalt, and nickel crystallize in cubic lattice (fcc) in all studied alloy coatings. Besides the cubic phases of the three metals, the presence of cobalt-containing phase with hexagonal crystal lattice (h.p.c.) was ascertained.
Using neural networks to tune heuristic parameters in evolutionary optimization

Evolutionary optimization algorithms contain, due to their heuristic inspiration, many heuristic parameters, which need to be empirically tuned for the algorithm to work most properly. This paper deals with tuning those parameters in situations when the values of the objective function have to be obtained in a costly experimental way. It suggests to use a neural-network based approximation of the objective function for parameter tuning in such situations. In this way, the convergence speed of the algorithm and the density of the population of points can be investigated for many various combinations of heuristic parameters. To construct the approximating neural network, some initial amount of data is needed, usually obtained from running the algorithm for several generations with default values. The feasibility of the approach is demonstrated on a case study in materials science.
Design of Intelligent Mobile Vehicle Checking System Based on ARM 7 K Sairam

With ARM7 as the core, the new intelligent mobile vehicle checking system integrated a lot of hardware modules such as video capture, GPS posi-tioning and wireless transmission, the design of the system software used the embedded software developing platform based on ADS integrated development environ-ment. By the hardware/software co-design, the new intelligent mobile vehicle checking system implemented the functions of video capturing, intelligent plate distinguishing, GPS positioning and wireless transmit-ssion, met the traffic auditing department’s needs about Mobile Vehicle Checking.
Using Hedonic Prices to Estimate Quality Changes concerning Iranian Automobile Market

This paper sketches a model of product differentiation according to the hedonic hypothesis that is based on the theory of consumer behavior of Lancaster (1971). Lancaster suggested that utility is derived from the characteristics of the good and not the good itself. Thus, from the perception of the consumer, every characteristic has a price. This is the hedonic (or implicit) price. We have estimated implicit price and quality changes of Iranian car market for the years 2005 to 2010. The empirical results indicate that during this period the safety variables (types of airbags and brakes) have been the most important variables affecting the price of automobile, and also the changes in the quality of new automobiles sold in Iran have been responsible for price increases of about 47% during this period.
Effect of Employee Expenses on Usefulness of Accounting Information

In this study, the employee expenses model and earnings model are compared in order to determine whether or not putting the employee expenses in the earning predictability models and high relevance of accounting information to stock value, increases usefulness of accounting information. We use the term ‘earnings model’ to refer to the consideration of earnings alone, for determining earnings predictability as well as value relevance. The term ‘employee model’ refers to the consideration of earnings and employee expenses in determining earnings predictability as well as value relevance. In this study, the cost of employees’ salary, which is shown under the heading of General and administrative expenses in the income statement, is the only monetary information that is available for us and relevance value is determined through the effectiveness of the models in determining stock returns. After applying these limitation, companies which were active in Tehran Stock Exchange from2003 to 2012 were chosen as the target population. The results showed that compared to earnings model, the employee expenses model provides a better prediction of the earnings but it isn’t a better model for predicting the stock relevance (related to the return of the stock).
Towards An Integrated Management of Engineering Design System and Enterprise

An enterprise is a complex system using human, technical and methodological competencies in order to improve its performances. Moreover, whatever its competencies, the enterprise must necessary plan, implement, measure its performances and improve these performances by setting new targets: it is the deployment (or industrial) strategy of the enterprise, consisting in the reengineering of whole or part of this enterprise. The design system can be defined as the environment where design projects take place. Such projects relate to the product or the system itself, i.e. relate to the reengineering of the product or whole or part of the enterprise. The aim of this paper is to optimise the synchronization and coordination of the development of several design projects in an environment with limited resources (material, human, know-how, etc.) and therefore satisfy the strategic performance objectives of enterprises (cost, quality, flexibility, lead time, etc.). With this intention, we propose to define the role of the (re)engineering in the industrial strategy of enterprises in order to explain how consider the design system, which is at the origin of this (re)engineering. Finally, we aim to provide a reference framework allowing to manage in an integrated way the evolution of design system and enterprise. This framework highlights a double modelling (enterprise – design system) allowing to identify the relations between the product / system design and the continual improvement process of an enterprise, in order to improve the global performance of this enterprise. An industrial case presents the use of the concepts by the mean of a software application.
Sub-band decomposition of EEG signals and Feature Extraction for Epilepsy Classification

2 Abstract: Electroencephalogram (EEG) is the recording of brain electrical activity and it contains valuable information related to the different physiological states of the brain. Hence, EEG is considered an indispensable tool for diagnosing epilepsy in clinic applications. Epilepsy keeps its importance as a major brain disorder. In this paper, we aimed to classify the EEG signals and diagnose the epileptic seizures directly by using wavelet transform and an artificial neural network model. EEG signals are separated into their spectral components by using wavelet transform, by a method of sub-band decoding. These spectral components are applied to the inputs of the neural network which is then trained to give two outputs to classify whether the signal is epileptic or not. In this paper, the features extracted and the accuracy obtained from this feature set in classifying the data sample as epileptic or not is explained.
Schmid Evaluation of association mapping and genomic prediction in diverse barley and cauliflower breeding material

Genomic Selection is used to improve breeding populations by using genome-wide markers for selection. Therefore, a training set is phenotyped for traits of interest and genotyped with a high density set of markers. Then, a genomic prediction model is trained using both the phenotypic and genotypic data. In the following selection cycles, individuals from a breeding population are only genotyped with the same marker set, and their genomic estimated breeding values (GEBV) are calculated. Individuals with a high GEBV are selected for the next cycle. Genomic Selection leads to significant
Ability of Children with Learning Disabilities and Children with Autism Spectrum Disorder to Recognize Feelings from Facial Expressions and Body Language

In this study, children with learning disability (LD) were compared with children with autism spectrum disorder (ASD) in terms of identifying emotions from photographs with certain face and body expressions. The sample consisted of a total of 82 children aged 7-19 years living in Izmir in Turkey. A total of 6 separate sets of slides, consisting of black and white photographs, were used to assess participants’ ability to identify feelings – 3 sets for facial expressions, and 3 sets for body language. There were 20 photographs on the face slides and 38 photographs on the body language slides. The results of the nonparametric Mann Whitney-U test showed no significant difference between the total scores that children received from each of the face and body language slide sets. It was observed that the children with LD usually looked at the whole photo, while the children with ASD focused especially around the mouth to describe feelings. The results that were obtained were discussed in the context of the literature, and suggestions were presented.
Microsoft Word - 30_PE_05_11_116-119_ostanina

The aim of this paper is to map in detail the influence of local brain tissue conductivity changes on measured potentials. Based on this study, the methodology and algorithm for an effective determination of corresponding head tissue changes is formulated. Some illustrative examples of local conductivity changes detection are presented. Streszczenie. W artykule przedstawiono metodykę i algorytm określania rozkładu konduktywności elektrycznej tkanek głowy na podstawie rozkładu potencjału mierzonego na powierzchni skóry. Zaprezentowano też kilka przykładowych lokalnych zmian konduktywności i dokładność ich detekcji. (Metodyka rekonstrukcji obrazu w impedancyjnej tomografii tkanek mózgu)
LncRNA TUG1 aggravates the progression of prostate cancer and predicts the poor prognosis.

OBJECTIVE To explore the correlation between plasma level of lncRNA TUG1 with PSA level, Gleason grading and tumor node metastasis (TNM) stage of prostate cancer (PCa) patients. This study aims to evaluate the potential diagnostic and prognostic values of TUG1 in PCa. PATIENTS AND METHODS Plasma level of TUG1 in 70 PCa patients and 70 healthy controls was determined using the quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). Correlation between plasma level of TUG1 with PSA level, Gleason grading and TNM stage of PCa patients was analyzed. The potential diagnostic value of TUG1 in PCa was explored by introducing the receiver operating characteristic (ROC) curve. The survival analysis of PCa patients undergoing radical prostatectomy was conducted using the Kaplan-Meier method and the log-rank test. Finally, the regulatory effects of TUG1 on in vitro proliferative and migratory abilities of PCa cells were examined by the cell counting kit-8 (CCK-8) and the transwell assay, respectively. RESULTS QRT-PCR data revealed a higher plasma level of TUG1 in PCa patients than in those of healthy controls. In particular, PCa patients with stage III+IV had a higher level of TUG1 relative to those with stage I+II. Moreover, the TUG1 level was higher in PCa patients with a higher PSA level (≥ 10 ng/mL), Gleason grading (≥ 7) or TNM stage (N1, M1). There was no significant correlation between the plasma level of TUG1 and the age of PCa patients. The ROC and Kaplan-Meier curves indicated the diagnostic and prognostic values of TUG1 in PCa. The overexpression of TUG1 markedly accelerated PCa cells to proliferate and migrate. CONCLUSIONS The plasma level of TUG1 is upregulated in PCa patients and is correlated to PSA level, Gleason grading and TNM stage of PCa. TUG1 exerts certain diagnostic and prognostic values in PCa. The overexpression of TUG1 markedly accelerates PCa cells to proliferate and migrate.