44 research outputs found
Geospatial Development Using GIS Smart Planning
Zoning is the most effective public tool for controlling land use, reflecting the spatial separation of urban land use incompatibilities and influencing, consequently, the physical economic and social structure of cities. In this paper we want to emphasize the possibilities and benefits of using dedicated GIS solutions for geospatial planning, integrating 3D and 2D data. At present, GIS provides complex tools dedicated to spatial planning analyzes, of which we chose a new Esri solution. The results consist of setting up the appropriate planning parameters, correlated with the local urban planning regulation and applying a coherent workflow in ArcGIS Urban for the GIS analysis of the reconfiguration of an area in Bucharest, as example. We have demonstrated the advantages of using intelligent spatial planning products to verify the conditions provided in the local urban planning regulations. We highlighted the possibility to highlight by analyzing certain evolving indicators, such as population, degree of employability, etc. Obviously, as more relevant Romanian statistical data will be available in the online environment, such analyzes may increase as complexity level
The Management of the Industrial Maintenance at the International Level (I)
When defining a maintenance policy, it must be held in mind the fact that there isn’t such a thing like “good maintenance policy” in itself; instead, for each industrial equipment should be adapted a particular maintenance method, coming to a technical-economic compromise through its products, through its market, its equipments, its people, the managers’ psychology, the organizational culture and, as a consequence, the industrial maintenance will be different. The present article will pursue to highlight the position of the maintenance activity having in mind the imperatives imposed to this activity, the maintenance methods applied at the international level and the methods that can be applied in our country.maintenance mission; Total Productive Maintenance (TMP); corrective maintenance; systematic preventive maintenance; conditional preventive maintenance.
Hair Mineral Levels in Dogs with Atopic Dermatitis
Atopic dermatitis is a genetic allergic skin disease that can be triggered by various environmental factors. This research aimed to study the possible correlation between heavy metal and mineral concentration and presence of atopic dermatitis. Hair samples from dogs suffering from atopic dermatitis were analyzed and compared to samples from the control group via ICP-OES method. Cu was the only element significantly decreased (p = 0.01) in the study group. No statistical significance was found for heavy metals
Assessment of Heavy Metal and Mineral Levels in Hair Samples from Dogs with Mammary Neoplasms
Neoplasms involve abnormal tissue growths developing in an uncoordinated, persistent manner, faster than adjacent normal tissues. Several researchers have studied the possible implications of heavy metals and mineral levels on human mammary neoplasms using hair analysis. The study’s objective was to assess the levels of heavy metals and other mineral elements in dogs suffering from mammary neoplasms. Hair samples were analyzed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). All analyzed elements registered higher levels in clinically healthy dogs. The interaction between health status and keeping conditions significantly influenced the levels of Al, Ca, Fe, Mg, Ni, Co, Pb, and V. Concurrently, dogs with mammary neoplasms living outdoors registered the highest levels for most minerals, compared to dogs with mammary neoplasms living indoors, suggesting a possible implication of pollution
Studies on the Acid–Base Equilibrium of Some Benzotriazolium Ylides
Acidity constants of benzotriazolium salts and the corresponding ylides represent quantitative parameters for the estimation of their stability. Experimental pKa values were determined using UV-spectrometry. For each species involved in acid-base equilibria, the theoretical total energies Et, solvatation energies Es and UV-VIS electronic transitions were calculated by AM1, PM3, RHF/6-31G*, AM1/H2O and ZINDO methods, respectively. Theoretical parameters confirm the experimental pKa values. Acidity constants together with theoretical energies constitute critical parameters for achieving good yields for the synthesis of ylides from their corresponding benzotriazolium salts
Customer segmentation in private banking sector using machine learning techniques
Machine learning techniques have proven good performance in classification matters of all kinds: medical diagnosis, character recognition, credit default and fraud prediction, and also foreign exchange market prognosis. Customer segmentation in private banking sector is an important step for profitable business development, enabling financial institutions to address their products and services to homogeneous classes of customers. This paper approaches two of the most popular machine learning techniques, Neural Networks and Support Vector Machines, and describes how each of these perform in a segmentation process.
First published online: 23 Sep 201
The effect of habitat on hair copper, molybdenum, and selenium levels in cats
Cu, Mo, and Se are essential trace minerals, which maintain proper activity of some animal
organisms functions. The main goal of this study was the assessment of Cu, Mo and Se levels in the hair of
pet cats in an urban environment. The hair samples were collected from flank region from 20 clinically
healthy pet cats. Analysis of hair Cu, Mo, and Se content of pet cats kept indoors (5 males and 5 females)
and outdoors (5 males and 5 females), were performed by inductively coupled plasma mass spectrometry
(ICP-MS). The mean Cu level in indoor pet cats was 19.47 mg•kg−1 for males and 10.58 mg•kg−1 for females,
and in outdoor male cats was 10.33 mg•kg−1 and 14.32 mg•kg−1 for females. Generally, Mo registered lower
mean levels when mean Cu levels were higher and higher levels when Cu was lower, indifferent of habitat,
sex or age. The mean Se hair levels registered insignificant differences for the same habitat in pet cats below
5 years and above 5 years. In this study, the habitat statistically insignificant influenced hair Cu, Mo, and
Se levels in pet cats
Influence of thermal preparation method on mineral composition of Pangasius fish
Determination of metallic/mineral elements in seafood, such as fish, is of great importance in assessing both their nutritional quality and also the risk of environmental contamination, and use of fish as a biomarker for aquatic environment pollution could represent a reliable approach. Cooking method changes the mineral concentrations and could contribute to loss or increment of some essential, non- essential or toxic elements concentration. This study aimed to evaluate the effects of three different cooking methods (boiling, roasting, and microwave cooking) on the mineral concentrations of Pangasius fish filets from the Bucharest (Romania) market. Mineral content in raw and cooked Pangasius fish samples was evaluated by ICP-OES, after microwave digestion, and the relative humidity of Pangasius fish samples was assessed by thermogravimetric method used. Ca, K, and Mg levels were higher in cooked samples compared to raw Pangasius fish, with the highest level in microwaved samples. Na levels were significantly higher in roasted and microwaved Pangasius fish, and significantly lower in boiled samples. The highest Fe concentration was found in roasted samples. Al and Zn levels registered the same pattern with the highest level in roasted samples, and Se level in roasted samples was insignificantly different compared to raw samples. Pb levels were significantly increased in boiled and roasted Pangasius fish meat samples and Cd levels registered the highest concentration in raw samples
SCLERODERMA – LUPUS OVERLAP SYNDROME: CASE REPORT
The overlap syndromes are a diverse group of conditions that usually have characteristic features of at least two
well-defined rheumatic diseases occurring together. We present the case of a 32-year-old patient who sequentially develops manifestations of systemic lupus erythematosus and systemic sclerosis. The first manifestation
of the disease was the pleural effusion and, over time, the patient associated various other complications which
influenced the diagnostic course. Digital ulcerations associated to scleroderma have evolved into ischemic necrosis lesions, requiring amputation. This case is a clinically suggestive example of the complexity of autoimmune
diseases, of associations between pathologies and unexpected evolutions, requiring constant and long-term
follow-up of the patients
Configuring Artificial Neural Networks for stock market predictions
Making accurate predictions for stock market values with advanced non-linear methods creates opportunities for business practitioners, especially nowadays, with highly volatile stock market evolutions. Well suited for approaching non-linear problems, Artificial Neural Networks provide a number of features which make possible reasonably accurate forecasts. But, like the old Latin saying “Primus inter pares”, not all Artificial Neural Networks perform the same, end results depending very much on the network architecture and, more specifically, on the chosen training algorithm. This paper provides suggestions on how to configure Artificial Neural Networks for performing stock market predictions, with an application on the Romanian BET index. Final results are confirmed by testing the trained networks on the Croatian Stock Market data. End remarks entitle Broyden-Fletcher-Goldfarb-Shanno training algorithm as a good choice in terms of model convergence and generalization capacity