bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluación de la sustentabilidad de los principios de la Red de Agricultores Tradicionales del estado de Amazonas, Brasil
Authors: Gordiano João Bosco André , Vargas-Isla Ruby
Published: July 2017

No existe un conjunto de indicadores universales que puedan utilizarse para evaluar la sostenibilidad de cualquier tipo de sistema. Por lo tanto, el objetivo de este trabajo fueevaluar la sinergia entre cada uno de los principios aplicados por los agricultores de la Redde Agricultores Tradicional del estado de Amazonas, Brasil (REATA). En este trabajo se hautilizado el MESMIS modificado. Fueron evaluados agricultores de la REATA de los municipios seleccionados de Codajás, Manaos, Tefé y Urucará. Los indicadores fueron los trece principios que nortean la REATA. La aplicación de los trece principios como indicadores demuestra que existe sostenibilidad en las dimensiones ambiental, social y económica en los cuatro municipios evaluados. El índice de sostenibilidad general de la REATA fue 2,61 . La utilización de los indicadores nos permitió observar independencia entre las dimensiones, así como sinergia y sincronización entre los principios/indicadores de la REATA evidenciando la sostenibilidad de los agroecosistemas.
Construindo uma reflexão coletiva sobre a noção de sustentabilidade a partir de percepções de agroecologia e agricultura familiar
Authors: Calinho Helvio Debli , Lima Ana Claudia Rodrigues de , Martins Sérgio Roberto , Silva Luis Mauro Santos , Cardoso Irene Maria , Hentz Andréa De Melo , Verona Luiz Augusto Ferreira , Schwengber José Ernani , Martinez Ernesto Álvaro , Calixto Juliana
Published: July 2017

Fruto de anos de reflexão com apoio do CNPq (Edital REPENSA 22/201 0), um grupo dedocentes e pesquisadores de várias regiões brasileiras buscaram sintetizar reflexões e oentorno de um dos temas mais polissêmicos da contemporaneidade – Sustentabilidade e suas imbricações com as lógicas familiares de produção. Outro aspecto importante que sepode ressaltar é o uso do Marco para la Evaluación de Sistemas de Manejo de Recursos Naturales incorporando Indicadores de Sustentabilidad (MESMIS) em distintas realidades e regiões na perspectiva sistêmica. Tal “utopia”, quem sabe, pode nos dar essa resposta, pois, como dizem Fernando Birri e Eduardo Galeano, ela é como o horizonte: nós o vemos, ao longe, porém nunca o alcançaremos; mas serve para que continuemos sempre a caminhar. Talvez a sustentabilidade seja assim: significa o próprio processo da caminhada por um ideal que nos motiva a caminhar incessantemente por sua afirmação. O objetivo do presente ensaio foi o de apresentar uma noção de sustentabilidade capaz de contemplar não só as diferentes experiências de ensino, pesquisa e extensão dos autores, como, também, que retrate as diferentes realidades da agricultura familiar de base ecológica inseridas em diferentes regiões brasileiras.
Endothelial function in primary hyperaldosteronism vs essential arterial hypertension
Authors: Baranov V. L. , Serebryakova I. P. , Barinova A. V.
Published: July 2017

Objective.To estimate and compare the endothelial function in patients with essential arterial hypertension (HTN) and primary hyperaldosteronism (PHA).Design and methods.Eighty-two patients were examined. Among them, PHA was verified in 19 patients, while 36 patients had essential HTN stage II (blood pressure (BP) elevation of 1st or 2nd degree), and 27 age-matching healthy people formed control group. The HTN duration in PHA patients was 1,95 ± 0,24 years, and in patients with essential HTN — 5,5 ± 0,5 years. Both patients and healthy peoples were examined within the hospital, in compliance with the hospital regime and diet. Endothelial function was assessed by several methods: the number of circulating desquamated endothelial cells (the method by Hladovec J.), reactive hyperemia test and evaluation of endothelium-dependent vasodilation (as a percentage of the brachial artery diameter increase), total blood nitrates and nitrites level (Griss-reaction method), nitric oxide excretion in urine.Results.Endothelial dysfunction (ED) was found in all patients with high BP. We found more profound ED in PHA patients compared to patients with essential HTN, which resulted in a significantly higher number of circulating endothelial desquamated cells, lower percentage of vasodilation response in reactive hyperemia test, decreased blood levels of total nitrites/nitrates and elevated nitric oxide urine excretion. Discriminant analysis was applied to range the severity of ED. Patients with essential HTN had moderate ED, while patients with PHA had severe ED. Conclusions. The proposed classification approach can be successfully applied for monitoring changesin ED and the effectiveness of treatment in patients with various diseases associated with BP elevation.
Performance Analysis Methods of Non-directed IR Wireless Channel Preparation of Papers for Short Range Inside the Building
Authors: Patil Prakash
Published: July 2017

Nowadays due to the tremendous growth of residential and commercial buildings it is very much essential to design and simulate IR Wireless channel inside the building. Here we need to consider the room configurations and several techniques such as FFT and wavelet analysis for the estimation of received power signal strength. Also, it is required to ensure high speed, short range and secured optical wireless communication inside the building by considering different obstacles and using IR transmitter and receiver for the improved BER.
ATC using FACTS Devices in Deregulated Power Systems
Authors: Burade Prakash , Sadafale Rajendra , Satpute Anand
Published: July 2017

A Repeated Power Flow with FACTS devices including ATC is used to evaluate the feasible ATC value within real and reactive power generation limits, line thermal limits, voltage limits and FACTS operation limits. An IEEE-30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool to enhance ATC. A Genetic Algorithm technique is used for validation purposes. Introduction of FACTS devices in a right combination of location and parameters could enhance ATC and Ant Colony optimization can be efficiently used for this kind of nonlinear integer optimization.
Experimental investigation on evaporation of R407C in a single horizontal smooth tube
Authors: Hambarde M. D. , Shrivastava Ramakant , Thorat S.R. , Dale O.P.
Published: July 2017

Due to higher ozone layer depletion potential of HCFC refrigerant, R22 which has been mostly used in house hold refrigeration will be phased out by 2020 as per Montreal Protocol and UNFCCC Regulations. R407C, a zeotropic refrigerant from HFC category is a promising refrigerants in place of R22. Performance evaluation of R407 is required to enhance its application in house hold refrigeration. Hence an experimental investigation is carried out to understand the heat transfer characteristics during flow boiling of R407C in a smooth horizontal tube of 13.386 mm inner diameter and 2m length. The experiment is performed under the operating conditions; (i) mass flux range 100 to 300 kg s-1m-2; (ii) heat flux within range 2 to 7 kWm-2; (iii) temperature range at inlet to test section -100C to +100C; (iv) average vapor quality within test section from 0.05 to 0.95.The effect of heat flux, mass flux, vapor quality, temperature glide on heat transfer coefficient, during evaporation of R407C are examined.
Design and Development of Vertical Axis Wind Turbine
Authors: Deshmukh Samir , Charthal Sagar
Published: July 2017

Wind energy is the kinetic energy associated with movement of large masses of air. These motions result from uneven heating of atmosphere by sun creating temperature, density, pressure differences. It is an indirect form of solar energy The device used to convert kinetic energy of wind into electrical power is called a wind turbine. Vertical Axis wind power generators, represent a very promising future for wind power generation. In present study an attempt is made to utilize at low velocity wind below 4m/s for useful power generation using magnetic levitation for vertical axis wind turbine (VAWT) termed as Maglev turbine. A single large Maglev turbine can give output more than conventional horizontal axis wind turbine (HAWT). The rotor that is designed to harness enough air to rotate the shaft at low and high wind speeds while keeping the centre of mass closer to the base of yielding stability due to Maglev effect. The efficiency of turbine is increased by replacing the conventional bearings by magnets in repulsion; the magnetic levitation helps the turbine to spin at much faster rate as it eliminates the stresses on the shaft of turbine. The major components are placed at the ground level which ensures the safety of turbine.
Functional Gain and Pain Relief After Total Joint Replacement According to Obesity Status
Authors: Li Wenjun , Ayers David C. , Lewis Courtland G. , Bowen Thomas R. , Allison Jeroan J. , Franklin Patricia D.
Published: July 2017

Background:

Obesity has been associated with lower function and more pain before and after total hip or knee replacement (THR or TKR). We examined the changes between preoperative and postoperative function and pain in a large representative U.S. cohort to determine if there was a relationship to obesity status.

Methods:

Preoperative and 6-month postoperative data on function (Short Form-36 Physical Component Summary [PCS] score), joint pain (Hip disability and Osteoarthritis Outcome Score and Knee injury and Osteoarthritis Outcome Score), and body mass index (BMI) were collected from a national sample of 2,040 patients who had undergone THR and 2,964 who had undergone TKR from May 2011 to March 2013. Preoperative and postoperative function and pain were evaluated according to BMI status, defined as under or of normal weight, overweight, obese, severely obese, or morbidly obese.

Results:

Patients undergoing THR were an average of 65 years of age; 59% were women, 94% were white, and 14% were severely or morbidly obese. A greater obesity level was associated with a lower (worse) PCS score at baseline and 6 months postoperatively. Severely and morbidly obese patients had less postoperative functional gain than the other BMI groups. A greater obesity level was associated with more pain at baseline but greater postoperative pain relief, so the average postoperative pain scores did not differ significantly according to BMI status. Patients undergoing TKR had an average age of 69 years; 61% were women, 93% were white, and 25% were severely or morbidly obese. A greater obesity level was associated with a lower PCS score at baseline and 6 months. The postoperative gain in PCS score did not differ by BMI level. A greater obesity level was associated with worse pain at baseline but greater pain relief at 6 months, so the average pain scores at 6 month were similar across the BMI levels.

Conclusions:

Six months after total joint replacement (TJR), severely or morbidly obese patients reported excellent pain relief and substantial functional gain that was similar to the findings in other patients. While obesity is associated with a greater risk of early complications, obesity in itself should not be a deterrent to undergoing TJR to relieve symptoms.

Level of Evidence:

Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.
Perioperative and Delayed Major Complications Following Surgical Treatment of Adolescent Idiopathic Scoliosis
Authors: Bartley Carrie E. , Yaszay Burt , Bastrom Tracey P. , Shah Suken A. , Lonner Baron S. , Asghar Jahangir , Miyanji Firoz , Samdani Amer , Newton Peter O.
Published: July 2017

Background:

Reporting accurate surgical complication rates to patients and their families is important in the management of adolescent idiopathic scoliosis (AIS). In this study, we report the rate of major complications following the surgical treatment of AIS both in the perioperative period and among patients with a minimum of 2 years of follow-up.

Methods:

We reviewed the prospectively collected data of a multicenter registry of patients who underwent surgical treatment of AIS during the period of 1995 to 2014 in order to identify all complications. A complication was defined as “major” if it resulted in reoperation or in spinal cord or nerve root injury, or was life-threatening. A total of 3,582 patients with preoperative and early postoperative data (4 to 6 weeks of follow-up) were included. A subset of 2,220 patients with a minimum of 2 years of follow-up comprised the cohort for delayed complications. Overall complication rates were calculated, as was the percentage of complications according to the year of the index surgery and type of surgical approach.

Results:

The mean age of the 3,582 patients at the time of surgery was 14.8 ± 2.2 years. The average major curve magnitude was 56° ± 13° for thoracic curves and 51° ± 11° for lumbar. In 365 patients, anterior spinal fusion (ASF) with instrumentation was performed, and in 3,217 patients, posterior spinal fusion (PSF) with instrumentation was performed; 142 patients in the PSF group underwent concomitant anterior release. There were 192 major complications, with 93 (2.6%) occurring perioperatively. Perioperative complications included wound-related (1.0% of the patients), neurologic (0.5%), pulmonary (0.4%), instrumentation-related (0.4%), and gastrointestinal (0.2%) complications. One patient died. The mean annual perioperative major complication rate based on the year of surgery ranged from 0% to 10.5%. The complication rate by surgical approach was 3.0% for ASF and 2.6% for PSF (2.4% for PSF only and 5.6% for PSF with anterior release). The major complication rate for the 2,220 patients with at least 2 years of follow-up was 4.1%; all but 1 had a reoperation (4.1%). The majority of these major complications were wound and instrumentation-related (1.9% and 0.8%, respectively).

Conclusions:

After surgery for AIS, a 2.6% rate of perioperative major complications and a 4.1% rate of major complications at 2 or more years after surgery can be anticipated. The complication rate decreased over the period of study.

Level of Evidence:

Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Integration of Analytical Tools to Obtain Reliable Production Forecasts for Quick Decision-Making
Authors: Villarroel Gisela , Crosta Dante , Romero Cecilia
Published: July 2017

Fast and reliable waterflooding optimization requires the integration of static and dynamic data to make decisions in a short time. In this study we combine connectivity coefficients from capacitance-resistance model with pattern volume mass balance and fractional flow models to identify pattern optimization opportunities. Simplified approaches often fail because of heavy viscous oil in heterogeneous reservoirs. The reservoir under study comprises three hydraulic disconnected formations under commingled production and injection. The permeability contrast between the three reservoirs is below one order of magnitude and oil viscosity is moderate to low (Rayoso is~16cp+). We confirmed that under these rock and fluid conditions a 2D model is suitable to achieve the required accuracy and time for rapid injector and producer pattern optimization.

The aim of this study was to review the water injection system on the Desfiladero Bayo field to determine if the decreasing oil production due to production mechanism inefficiency could be reversed. In order to break the production lost we built a scenario-base model with which we achieved a robust history matched in a short time. Subsequently we generated production pattern optimization proposlas to be implemented in 2016 and 2017. The incremental oil production represents 20 % of the daily oil production. The main advantages of data-driven techniques (capacitance-resistance model) are simplicity and rapid model construction and runtimes, these in some cases make them preferable to more time consuming 3D numerical simulation models.

Frequently the history matching of fractional flow based models is troublesome and the forecast is uncertain due to rock/fluid iteration that is not taken into account in data-driven techniques. In these work we usedconnectivity coefficients calculated by the capacitance-resistance tool and we found that significantly improves the history matching process and the robustness of the forecast, hence generating reliable production optimization scenarios. Finally, our methodology enables faster and accurate reservoir surveillance in mature fields in order to make a business decisions quickly.
History of Gulf Coast Citrus
Authors: Spiers James D. , Jenda Claudine A. , Farrell Bridget S.
Published: July 2017

Alabama, Louisiana, and Mississippi are not often thought of as citrus-producing states. However, citrus has been grown in the coastal regions of these states since the late 19th century. With a climate cool enough for a suitable amount of acid to remain in the fruit for optimum flavor and for adequate peel color development, the northern coastal fringe of the Gulf of Mexico from Louisiana to northwestern Florida is particularly well suited for production of the satsuma mandarin (Citrus unshiu Marc.), one of the most cold-hardy commercial citrus species. There were once thousands of hectares of satsumas planted in this region. Although satsumas typically reach optimum eating quality before fall freezes along the Gulf Coast, periodic severe freezes, as well as the occasional hurricane, prevented a citrus industry of this magnitude from remaining viable. Though freeze injury remains the primary limiting factor for citrus production in this region, there is great local interest, and a small industry focused on local markets has endured. Satsuma remains the primary citrus grown along the Gulf Coast region, though sweet oranges account for a large portion of citrus sales in Louisiana. This paper reviews the history of satsumas on the Gulf Coast, covering past and present production, cultivation, freeze protection strategies, pest issues, and marketing.
The Citrus Route Revealed: From Southeast Asia into the Mediterranean
Authors: Langgut Dafna
Published: July 2017

Today, citrus orchards are a major component of the Mediterranean landscape and one of the most important cultivated fruits in the region; however, citrus is not native to the Mediterranean Basin, but originated in Southeast Asia. Here, the route of the spread and diversification of citrus is traced through the use of reliable historical information (ancient texts, art, and artifacts such as wall paintings and coins) and archaeobotanical remains such as fossil pollen grains, charcoals, seeds, and other fruit remains. These botanical remains are evaluated for their reliability (in terms of identification, archaeological context, and dating) and possible interpretations. Citrus medica (citron) was the first citrus to spread west, apparently through Persia and the Southern Levant (remains were found in a Persian royal garden near Jerusalem dated to the fifth and fourth centuries BC) and then to the western Mediterranean (early Roman period, ≈third and second centuries BC). In the latter region, seeds and pollen remains of citron were found in gardens owned by the affluent in the Vesuvius area and Rome. The earliest lemon (C. limon) botanical remains were found in the Forum Romanum (Rome) and are dated to the late first century BC/early first century AD. It seems, therefore, that lemon was the second citrus species introduced to the Mediterranean. The contexts of the botanical remains, in relation to elite gardens, show that in antiquity, both citrus and lemon were products representing high social status. Sour orange (C. aurantium), lime (C. aurantifolia), and pummelo (C. maxima) did not reach the Mediterranean until the 10th century AD, after the Islamic conquest. Sweet orange (C. sinesis) was introduced during the second half of the 15th century AD, probably via the trade route established by the Genoese, and later (16th century AD) by the Portuguese. The mandarin (C. reticulata) reached the Mediterranean only in the early 19th century. While citron and lemon arrived in the Mediterranean as elite products, all other citrus fruit most probably spread for economic reasons.
Muskmelon Fruit Quality in Response to Postharvest Essential Oil and Whey Protein Sprays
Authors: Jiang Chen , Perkins-Veazie Penelope , Ma Guoying , Gunter Christopher
Published: July 2017

The consumption of fresh muskmelons (Cucumis melo reticulatus L.) has been linked to severe illness outbreaks due to contamination with bacterial pathogens. Antimicrobial essential oils (EOs) were incorporated into wash water sprays and evaluated as potential agents for postharvest disinfection of ‘Athena’ muskmelons. Freshly harvested fruits were sprayed with 0.5% EOs from cinnamon leaf, thyme, or clove bud emulsified in a whey protein emulsion (WP) as potential washing disinfectants, together with deionized water, water with 200 µL·L−1 free chlorine (pH 7, free turbidity), or oil-free WP as controls. Melons were treated, stored at 4 °C and then evaluated weekly for weight loss, rind color, mesocarp firmness and the compositional quality traits soluble solids content (SSC), pH, β-carotene content, and total ascorbic acid (AsA) for up to 21 days. Essential oil–treated melons were not different from controls in fruit quality and composition with the exception of fruits treated with thyme oil, which were statistically lower in SSC (0.8 °Brix) than those treated with water or cinnamon oil treatment. Internal carbon dioxide was statistically higher (≈0.1% higher in value, equal to a 25% increase) in muskmelons receiving whey protein–based treatments after storage for at least 7 days. Overall, our results suggest that EOs as disinfectants have little effect on quality or composition of muskmelon fruit.
Phytochemical and Yield Variation among Iranian Achillea millefolium Accessions
Authors: Farajpour Mostafa , Ebrahimi Mohsen , Baghizadeh Amin , Aalifar Mostafa
Published: July 2017

Chemical composition and essential oil yields from aerial parts of 31 Iranian Achillea millefolium accessions, each collected from their natural habitats of Iran and grown together in field conditions, were investigated. The concentrations of the hydro-distilled essential oils ranged from 0.03% to 0.39%. Gas chromatography–mass spectrometry (GC–MS) analysis revealed 50 compounds in the accessions. The main components of the essential oils in Iranian A. millefolium accessions varied in the following ranges: 1,8-Cineole, 1.2–19.8%; β-thujone, 0.4–55.3%; camphor, 0.6–25.5%; germacrene-D, 2–20.6%; trans-nerolidol, 0.4–48.1%; isospathulenol, 0.5–36%; and cubenol, 0.1–42.9%. According to cluster analysis, five chemotypes were obtained as 1,8-Cineole/trans-nerolidol, high cubenol, high germacrene-D/isospathulenol, high camphor/cubenol, and high 1,8-Cineole/ β-thujone/cubenol. The result of principal component analysis (PCA) indicated that germacrene-D and isospathulenol components were under more genetic control than the other main components. Results revealed a high level of variation of composition and yield of essential oils among the Iranian A. millefolium accessions.
Jujube Cultivar Vitamin C Profile and Nutrient Dynamics during Maturation
Authors: Huang Junxin , Heyduck Robert , Richins Richard D. , VanLeeuwen Dawn , O’Connell Mary A. , Yao Shengrui
Published: July 2017

Vitamin C profiles of 46 jujube cultivars were assessed from 2012 to 2015, and fruit nutrient dynamics of 10 cultivars during maturation were examined from 25 Aug. to 7 Oct. 2014 at 2-week intervals at New Mexico State University’s Alcalde Sustainable Agriculture Science Center and Los Lunas Agricultural Science Center. This is the first report in the United States profiling Vitamin C in jujube cultivars. The vitamin C content of mature fruit of 45 (of 46) cultivars ranged from 225 to 530 mg/100 g fresh weight (FW) plus ‘Youzao’ having the highest content of 820 mg/100 g FW at early mature stage. In general, drying cultivars had higher vitamin C content than fresh-eating cultivars whereas ‘Jinsi’ series (multipurpose) had relatively higher vitamin C content than others (>400 mg/100 g FW). Fruit vitamin C and moisture content decreased significantly during the maturation process. The average vitamin C contents of nine cultivars at Alcalde decreased more than 40% based on FW from 25 Aug. to 7 Oct. To maximize the vitamin C benefit, the ideal stage to consume fresh-eating cultivars is the creamy stage. Titratable acidity and soluble solids increased significantly during maturation. In mature jujubes, the titratable acidity and soluble solids ranged between 0.27% to 0.46% and 27.2% to 33.7%, respectively. Glucose, fructose, and sucrose content also rose significantly during ripening. Mature fruits contained 31–82 mg/g FW glucose, 32–101 mg/g FW fructose, and 53–159 mg/g FW sucrose among the cultivars tested. Based on sucrose contents, cultivars can be divided into two groups, “high-sucrose” (more sucrose than glucose or fructose) and “low-sucrose” (less sucrose than glucose or fructose). ‘Dagua’, ‘Honeyjar’, ‘Lang’, ‘Li’, ‘Maya’, ‘Sugarcane’, and ‘Sherwood’ belong to the “high-sucrose” group. Total phenolic content and 2,2-diphenyl-1-picrylhydrazyl (DPPH)-reducing capacity in fruit decreased during maturation, and the total phenolic content of mature jujube was 12–16 mg gallic acid equivalent (GAE)/g dry weight (DW). For mature fruit, ‘Li’ and ‘Li-2’ had the highest DPPH-scavenging efficiency whereas ‘Sugarcane’, ‘So’, and ‘Lang’ had the lowest at Alcalde, NM.
Improved Irrigation Management of Sweet Orange with Huanglongbing
Authors: Hamido Said A. , Morgan Kelly T. , Ebel Robert C. , Kadyampakeni Davie M.
Published: July 2017

Because of the decline in production and negative economic effects, there is an urgent need for strategies to reduce the impact of Huanglongbing (HLB) on citrus [Citrus ×sinensis (L.) Osbeck]. The objective of this study was to evaluate the impact of different irrigation schedules on total available soil water (TAW) and water uptake characteristics of citrus trees affected by HLB in central and southwest Florida. The study was initiated in Jan. 2014 for 2 years on 5-year-old sweet orange trees located in three commercial groves at Arcadia, Avon Park, and Immokalee, FL. Each grove had three irrigation scheduling treatments including the University of Florida, Institute of Food and Agricultural Sciences (UF/IFAS) recommendations, Daily irrigation, and an Intermediate treatment. All groves received similar volumes of water per week based on evapotranspiration (ETo) reported by the Florida Automated Weather Network. Sap flow (SF) measurements were taken for two trees per treatment for at least 10 days per site (twice/year). During those periods, leaf area, leaf area index (LAI), and stem water potential (Ψ) were determined. Also, TAW was determined using drainage curve and capacitance soil moisture sensors installed at incremental soil depths of 0–15, 15–30, and 30–45 cm. Results showed significant differences in average SF, LAI, Ψ, and TAW measurements among treatments. Diurnal SF value under daily irrigation treatment increased by 91%, 51%, and 105% compared with UF/IFAS irrigation in Arcadia, Avon Park, and Immokalee, respectively. Soil water contents (WCs) under daily treatment increased by 59%, 59%, and 70% compared with UF/IFAS irrigation treatment in Arcadia, Avon Park, and Immokalee, respectively. Our results indicated that daily irrigation improved tree water dynamics compared with IFAS or Intermediate irrigation scheduling treatments and reduced tree stress with the same volume of water.
Increased Electrical Conductivity in Nutrient Solution Management Enhances Dietary and Organoleptic Qualities in Soilless Culture Tomato
Authors: Moya Cristian , Oyanedel Eduardo , Verdugo Gabriela , Flores M. Fernanda , Urrestarazu Miguel , Álvaro Juan E.
Published: July 2017

Greenhouse tomato production is shifting to meet emerging consumer needs. Increasing environmental concerns have pressured growers to supply high-quality vegetables using sustainable production methods. The utilization of adapting fertigation to production conditions and/or nutrient solutions of moderately high conductivity seems promising in providing high yields of superior quality while limiting the emission of nutrients to the environment in greenhouse tomato crops. A tomato crop was grown in soilless culture with various levels of electrical conductivity (EC), 2.2, 3.5, and 4.5 dS·m−1, adjusting the final nutrient concentration and maintaining nutritional balance. The effect of nutrient solutions with moderately high EC on fertigation parameters and the emission of nutrients to the environment, total crop productivity, distribution of fruit sizes, and dietary and organoleptic qualities were measured. Nutrient solutions of moderately high EC decreased total and commercial yield, with an average reduction from 5% to 19% and 3% to 22%, respectively. A considerable decrease in extra large and large fruits, with an average reduction from 69% to 42%, was also observed. Nonetheless, dietary-related metabolites were significantly increased at the highest EC values: lycopene (6.3%), ascorbic acid (8.8%), total phenolics content (8.3%), and total antioxidant activity (11.1%). EC values of 3.5 and 4.5 dS·m−1 are not widely used in commercial production but are frequently measured in drainage solutions in open hydroponic systems and discarded solutions in closed systems, mainly because of the use of poor-quality water and the accumulation of excess nutrients.
Assessing methods for estimating roughness coefficient in a vegetated marsh area using Delft3D
Authors: Al-Asadi Khalid , Duan Jennifer G.
Published: July 2017

A Delft3D-FLOW model was used to simulate tidal flow in Davis pond marsh in Louisiana, USA. The study area is a freshwater marsh consisting of one main channel and floodplain. Vegetation-induced flow resistance greatly influences tidal flow dynamics in the marsh. This study evaluated eight approaches to estimate vegetation roughness, including two constant Manning's n values, four empirical relations for calculating n, and two methods for calculating Chezy's C values originally embedded in the Delft3D model. Simulated results of water surface elevation (WSE) were compared with the corresponding field observation at eleven stream gauges in the study area. We concluded that the roughness coefficient for vegetated area varies with time as flow depth changes. Among the selected empirical relations for the vegetation roughness, the ones accounting for the effect of the vegetation frontal area and the degree of submergence have closely matched the measurements.
Biomarkers Associated with Bleeding Risk in the Setting of Atrial Fibrillation
Authors: Sideris Skevos , Archontakis Stefanos , Latsios George , Lazaros George , Toutouzas Konstantinos , Tsiamis Eleftherios , Vavuranakis Manolis , Vlachopoulos Charalampos , Gatzoulis Konstantinos , Tsioufis Constantinos , Tousoulis Dimitris
Published: July 2017

Background:

Prevention of thromboembolic disease, mainly stroke, with oral anticoagulants
remains a major therapeutic goal in patients with atrial fibrillation. Unfortunately,
despite the high efficacy, anticoagulant therapy is associated with a significant risk of, frequently
catastrophic, and hemorrhagic complications. Among different clinical and laboratory
parameters related to an increased risk of bleeding, several biological markers have been recognized
and various risk scores for bleeding have been developed.

Objectives/Methods:

The aim of the present study is to review current evidence regarding the
different biomarkers associated with raised bleeding risk in atrial fibrillation.

Results:

Data originating from large cohorts or the recent large-scale trials of atrial fibrillation
have linked numerous individual biomarkers to an increased bleeding risk. Such a relation
was revealed for markers of cardiac physiology, such as troponin, BNP and NT-proBNP,
markers of renal function, such as GFR and Cystatin or hepatic function, markers involving
the system of coagulation, such as D-dimer and Von Willebrand factor, hematologic markers,
such as low haemoglobin or low platelets, inflammatory markers, such as interleukin-6, other
factors such as GDF-15 and vitamin-E and finally genetic polymorphisms. Many such biomarkers
are incorporated in the bleeding risk schemata developed for the prediction of the
hemorrhagic risk.

Conclusions:

Biomarkers were introduced in clinical practice in order to better estimate the
potential risk of haemorrhage in these patients and increase the prognostic impact of clinical
risk scores. In the last years this concept is gaining significant importance.
DISASTER RECOVERY THROUGH PREDICTION OF SAFE ROUTE USING DEM LEVELS
Authors: Vp Sangavi , Mounika N , Jasmine S Graceline
Published: July 2017

When a disaster occurs, the normal commutation routes are disrupted. People get stuck at these disaster points and would be in trouble, hence people in those areas find it difficult to communicate and evacuation route to safe area is unknown. The aim of the paper is to predict safe routes to reach the refuge point from the disaster point. The prototype was developed using Arc geographic information system runtime SDK for Java Application and APIs in Eclipse. The system was developed with digital elevation model layer, and route layer for India basemap focused to Tamil Nadu. The safe route is found based on the elevation values of the area from the disaster point to a safe point. The developed system could be used by the relief providers to reach the disaster point and rescue victims.
EFFICIENT FLOATING POINT FAST FOURIER TRANSFORM BUTTERFLY ARCHITECTURE USING BINARY SIGNED DIGIT MULTIPLIER AND ADDERS
Authors: Acharya Shivani , Beulet Augusta Sophy
Published: July 2017

Fast Fourier transform (FFT) is one of the most important tools in digital signal processing as well as communication system because transforming time domain to S-plane is very convenient using FFT. As FFT uses various techniques to convert a signal from time domain to S-domain and inverse, out of which butterfly technique is the one on which paper is focused on. Butterfly technique uses additions and multiplications of operands to get the required output. Floating point (FP) is used as operands due to their flexibility. As the computations involving FP has less speed, we have used binary signed digit (BSD). BSD will take the less time for addition and subtraction. Three bit BSD adder and FP adder together will make a fused dot product add (FDPA) unit. In FDPA, unit addition and subtraction will be one group and multiplication will be one group and then their respective results will be fused. Modified booth encoding and decoding algorithm are used here to make the complex multiplication with ease.
SECURE AND RECOVERABLE SPLIT KEY MANAGEMENT TECHNIQUE FOR CLOUD STORAGE
Authors: S Theophilus Rakesh , Kv Pradeep
Published: July 2017

Establishing mutual trust between a cloud service provider (CSP) and a client has always been a challenge. Managing the key as a whole on either of these sites poses a security risk and also questions the integrity and availability of the data itself. In this paper, we propose an effective solution to manage key at the client’s location, while the CSP still manages a portion of the key. The proposed technique secures the key itself and also provides a fail-safe mechanism to retrieve the key if lost.
EVALUATION OF CAPTURING ARCHITECTURALLY SIGNIFICANT REQUIREMENTS
Authors: Kumar B Sathis
Published: July 2017

Every software development organization strives for customer satisfaction. It is universally accepted that the success of software development lies in the clear understanding of the client requirements. During requirement elicitation and analysis stage, the system analyst identifies the functional and non-functional requirements from the customer. Security, usability, reliability, performance, scalability and supportability are the significant quality attributes of a software system. These quality attributes are also referred as non-functional requirements. Only a few functional and quality attributes requirement help to identify and shape the software architecture. A software system’s architecture is the set of prime design decisions made about the system. If the requirement influences the architectural design decision then, it is referred as Architecturally Significant Requirement (ASR). Identifying and specifying all the possible ASR are important tasks in the requirement elicitation and analysis stage.In this research, general problems that are faced while capturing and specifying ASR in requirement elicitation and analysis is studied. Among the different requirement elicitation techniques, use case diagram has been identified and enhanced to solve the problem of capturing and specifying ASR during the requirement elicitation and analysis phase
INTRUSION DEFENSE MECHANISM USING ARTIFICIAL IMMUNE SYSTEM IN CLOUD COMPUTING (CLOUD SECURITY USING COMPUTATIONAL INTELLIGENCE)
Authors: L Santhanalakshmi , R Sakkaravarthi
Published: July 2017

Cloud is a general term used in organizations that host various service and deployment models. As cloud computing offers everything a service,it suffers from serious security issues. In addition, the multitenancy facility in the cloud provides storage in the third party data center which is considered to be a serious threat. These threats can be faced by both self-providers and their customers. Hence, the complexity of the security should be increased to a great extend such that it has an effective defense mechanism. Although data isolation is one of the remedies, it could not be a total solution. Hence, a complete architecture is proposed to provide complete defense mechanism. This defense mechanism ensures that the threats are blocked before it invades into the cloud environment. Therefore, we adopt the mechanism called artificial immune system which is derived from biologically inspired computing. This security strategy is based on artificial immune algorithm.
NEUROCOMPUTATIONAL MODELLING OF DISTRIBUTED LEARNING FROM VISUAL STIMULI
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Neurocomputational modeling of visual stimuli can lead not only to identify the neural substrates of attention but also to test cognitive theories ofattention with applications on several visual media, robotics, etc. However, there are many research works done in cognitive model for linguistics,but the studies regarding cognitive modeling of learning mechanisms for visual stimuli are falling back. Based on principles of operation cognitivefunctionalities in human vision processing, the study presents the development of a computational neurocomputational cognitive model for visualperception with detailed algorithmic descriptions. Here, four essential questions of cognition and visual attention is considered for logicallycompressing into one unified neurocomputational model: (i) Segregation of special classes of stimuli and attention modulation, (ii) relation betweengaze movements and visual perception, (iii) mechanism of selective stimulus processing and its encoding in neuronal cells, and (iv) mechanism ofvisual perception through autonomous relation proofing.
FUSION OF THERMAL AND RGB IMAGES FOR BORDER SECURITY SURVEILLANCE
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Border security surveillance in remote areas are often suffer from low visibility and poor lighting conditions Thus, tracking and recognizing the intruder in such a situation is a daunting task. In this study a fusion technique is presented for enhancing the visibility by merging feature sets from thermal and RGB image sequence. The technique also solves the problem of computing the feature sets in massive sequences o images by carry-forwarding the past feature sets for consequent image sequence.
SURVEY OF SOFT BIOMETRIC TECHNIQUES FOR GENDER IDENTIFICATION
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Biometrics checks can be productively utilized for localization of intrusion in access control systems by utilizing soft computing frameworks.Biometrics procedures can be to a great extent separated into conventional and soft biometrics. The study presents a survey of the available softtechniques and comparison for gender identification from biometric techniques.
EFFICIENT FINITE IMPULSE RESPONSE FILTER ARCHITECTURE USING MULTIPLE CONSTANT MULTIPLICATION AND COMMON SUB-EXPRESSION ELIMINATION TECHNIQUES
Authors: Shukla Bhargav , Beulet Augusta Sophy
Published: July 2017

This paper introduces the computationally efficient, low power, high-speed partial reconfigurable finite impulse response (FIR) filter design usingmultiple constant multiplication technique (MCM). The complexity of many digital signal processing (DSP) systems is reduced by MCM operation. Forthe better performance of DSP systems, MCM operation is not sufficient. To get better results, some other operations are used with MCM. That’s why,this paper introduces a common sub-expression elimination operation of FIR filter design can be solved by decreasing the number of operators. Usingthese techniques shows the efficiency by reducing area when compared to previously used algorithms designed.
INTERNET OF THINGS – SURVEY ON RESEARCH CHALLENGES
Authors: L Pavithra , D Rekha
Published: July 2017

Internet of things (IoTs) is a stage where consistently gadgets get to be more intelligent, consistently preparing gets to be savvy, and consistently correspondence gets to be educational. While the IoTs is as yet looking for its own particular shape, its belongings have as of now gazed in making mind-blowing strides as a widespread arrangement media for the associated situation. Engineering particular study does dependably clear the compliance of related field. The absence of general building information is in a matter of seconds standing up to the scientists to overcome the extent of IoTs driven methodologies. This writing overviews IoTs situated structures that are sufficiently able to enhance the comprehension of related apparatus, innovation, and approach to encourage engineer’s necessities. Specifically or in a roundabout way, the displayed designs propose to take care of genuine issues by building also, organization of intense IoTs ideas. Encourage, explore challenges have been investigated to solidify the blank inside the present examples of plans to goad the scholastics additionally, wanders get included into searching for the possible course outs to appropriate the right constrain of IoTs. A principle commitment of this review paper is that it outlines the current best in class of IoTs designs in different spaces deliberately.
SENTIMENT ANALYSIS BASED ON TWITTER DATA ON VIOLENCE
Authors: Jumhare Nihal , G Raja Rajeswari , Jayakrishnan Balaji
Published: July 2017

Due to the large volume of opinion-rich web resources such as Twitter, Facebook, blogs, and news available in digital form, and much of the current research is focusing on the area of sentiment analysis using text analysis. People are getting attracted to develop a system that can extract opinions based on their response on social media sites. Algorithms can be developed so as to predict preferences of people to improve economic and marketing research. This paper presents a sentiment analysis on a recent scenario of Uri Attack.
A STUDY ON APPLICATION OF MACHINE LEARNING AND COMPUTER VISION FOR RETAIL PROJECTS
Authors: Borah Rima , S Rajarajeswari
Published: July 2017

The motivation for developing computer vision is the human vision system which is the richest sense that we have. To us, vision seems an easy task ofjust seeing objects in daily life and identifying them, but in reality, our eyes along with the brain are processing information of around 50 images everysecond with millions of pixels in each image. Most of these images obtained are currently just looked at by people. The challenging task is to processimages from all these cameras and allow automation of tasks never before considered. Neural networks help us in making cameras intelligent enoughto understand the images it captures. Convolutional neural networks (CNN) are trained to give image classification results of good accuracy, with thechallenge to improve utilization of computing resources. Google Net is in its essence a deep CNN that uses inception architecture to attain leadingedge results for classification and detection problems. In this paper, a study was made on applications of computer vision techniques in retail andcustomer strategic projects. Further, it was analyzed that if cameras trained with CNN can work well enough to be deployed in retail market scenariosto automate sales and stock supervision.
Estado físico e risco anestésico em cães e gatos: Revisão
Authors: RODRIGUES NHIRNEYLA , Quessada Ana Maria , Carlandy Moraes Aeyphanny , Soares Barbosa Dantas Sávio , Da Silva Sales Karina de Kássia
Published: July 2017

Great value has been given to anesthesia since its discovery. A fact that has revolutionized several medical areas, including Veterinary Medicine. In order for anesthesia to be conducted adequately and satisfactorily, a prior evaluation of the patient to be submitted to surgery, such as a review of the clinical history, physical examination, complementary exams and, finally, a risk assessment and physical condition is required. It is important to direct the patient to an anesthetic protocol appropriate to their state of health, as well as to predict the prognosis of the same. This classification of risk and physical status, adopted by the American Society of Anesthesiologists (ASA), is accepted and used worldwide by human and veterinary doctors, and is widely discussed in scientific works involving anesthesiology, justifying its great importance, being the objective of this review.
Adubação nitrogenada e consorciação de Trachypogon plumosus com Stylosanthes capitata cv. Lavradeiro sob diferentes densidades de semeadura
Authors: Costa Newton , Costa Newton de Lucena , Gianluppi Vicente , Morae Anibal de , Carvalho Paulo César Faccio de , Magalhães João Avelar
Published: July 2017

The effect of nitrogen levels (0, 40, 80, 120, 160, and 200 kg of N ha-1) on pure pastures of Trachypogon plumosus and the sowing densities of Stylosanthes capitata cv. Lavradeiro (1.0; 2.0; 3.0 and 4.0 kg of seeds ha-1) on forage yield, botanical composition and apparent fixation and transfer of nitrogen (N) was evaluated under field conditions. Nitrogen fertilization quadratically affected grass forage yields and its nitrogen content, and the maximum values were estimated by the application of 154.6 and 155.7 kg N ha-1, respectively. The legume forage yield was directly proportional to the densities of its sowing, occurring the opposite for the grass forage yield. The forage yields of the grass-legume mixture, independently of legume sowing density, were higher than those showed by the grass grown alone and for all doses of N evaluated. The use of legume sowing densities between 2.0 and 3.0 kg ha-1 allows the establishment, the productive stability and the persistence of the grass-legume mixture. The apparent N fixation by the legume and its transfer to the grass were directly proportional to the legume sowing densities.