scholarly journals May the trophy evaluation variables be utilized as population indices in cervids

2021 ◽  
Vol 145 (9-10) ◽  
pp. 443-443
Author(s):  
Vlado Jumić ◽  
Krešimir Krapinec ◽  
Siniša Ozimec ◽  
Tomica Marić ◽  
Tihomir Florijančić

The most frequently utilized population quality indices in cervids were a fluctuating asymmetry or a branch length in yearlings. Nevertheless, unlike bovids, there has not been a reliable quality index so far that could also be applied at a later age. Therefore, an application reliability testing pertaining to certain elements of trophy measurement for the sake of difference detection between the cohorts was performed on a sample numbering 225 trophies of red deer stags from 11 cohorts. Although each of the nine trophy variables tested has succeeded in finding certain differences, the most reliable are the overall trophy value and circumferences (circumference of coronets, lower beam circumference and upper beam circumference). Since various trophy evaluation systems have been applied in the world, the implementation of the overall trophy value is limited only to the trophies evaluated pursuant to the CIC system. Hence, the most reliable indices are those based upon circumferences.

2012 ◽  
Vol 23 (6) ◽  
pp. 495-502 ◽  
Author(s):  
Ines Kolanović ◽  
Čedomir Dundović ◽  
Alen Jugović

This port service quality study is an important precondition for an efficient development of port industry and traffic system as a whole. It is due to the complexity of any port, as a system consisting of a large number of stakeholders rendering services to customers with various requirements, that a unique set of port service quality indices has been still missing. For this reason, the paper explains the port service quality concept in compliance with stakeholders and their requirements within the context of port service quality. The aim of the paper is to present a proposal for a customer-based port service quality model based on empirical study and its reliability testing on a selected sample. The proposed model is defined by five factors and fits satisfactorily into the obtained poll questionnaire results. The statistical data processing package SPSS 16.0 and the LISREL 8.54 programme were used in the study. KEY WORDS: port service, customer, model, factor analysis


2020 ◽  
Vol 8 (1) ◽  
pp. 14-14
Author(s):  
Shirin Fattahi ◽  
Farshad Seyyednejad ◽  
Sarvin Sanaie ◽  
Tahereh Parhizkar ◽  
Elnaz Faramarzi

Introduction: Considering the important role of early detection of malnutrition in patients with cancer and its negative effects on the outcome, as well as the lack of any published article (to the best of our knowledge) about the dietary quality index in head and neck cancer patients treated with chemoradio therapy, we decided to evaluate the nutritional status and dietary quality index in these patients. Methods: In this study, thirty-seven volunteer patients with head and neck cancer were recruited. Nutritional status of the patients was evaluated by Mini Nutritional Assessment (MNA) questionnaire. Dietary diversity score, dietary variety score, and diet quality index–international were calculated to assess the dietary quality of the patients. Results: Our findings indicated that about half of the patients were well nourished and 48.6%were at the risk of malnutrition. We did not find any significant differences between variousdietary quality indices and nutritional status of the patients. However, a significant reverse correlation was observed between dietary quality indices and nutritional status of the patients. Conclusion: According to our findings, the evaluation of nutritional status and the prediction of the patients at higher risks of chemoradio therapy-induced adverse events, may have a major role in the prevention of treatment gaps.


Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2230 ◽  
Author(s):  
Atman Ait Lamqadem ◽  
Biswajeet Pradhan ◽  
Hafid Saber ◽  
Abdelmejid Rahimi

Oases can play a significant role in the sustainable economic development of arid and Saharan regions. The aim of this study was to map the desertification-sensitive areas in the Middle Draa Valley (MDV), which is in the southeast of Morocco. A total of 13 indices that affect desertification processes were identified and analyzed using a geographic information system. The Mediterranean desertification and land use approach; which has been widely used in the Mediterranean regions due to its simplicity; flexibility and rapid implementation strategy; was applied. All the indices were grouped into four main quality indices; i.e., soil quality; climate quality; vegetation quality and management quality indices. Each quality index was constructed by the combination of several sub-indicators. In turn; the geometric mean of the four quality index maps was used to construct a map of desertification-sensitive areas; which were classified into four classes (i.e., low; moderate; high and very high sensitivity). Results indicated that only 16.63% of the sites in the study were classified as least sensitive to desertification; and 50.34% were classified as highly and very highly sensitive areas. Findings also showed that climate and human pressure factors are the most important indicators affecting desertification sensitivity in the MDV. The framework used in this research provides suitable results and can be easily implemented in similar oasis arid areas.


2020 ◽  
pp. 0958305X2092184
Author(s):  
Zissis Karavas ◽  
Vayos Karayannis ◽  
Konstantinos Moustakas

This study aims to compare air quality indices applied in European Union countries towards adopting a common air quality index. The urban European cities Rome, Madrid, Paris, London, Berlin, Warsaw, Stockholm, and Oslo were selected. Using the EEA AirBase air quality database, time series data for the major atmospheric pollutants (CO, NO2, SO2, O3, PM10, and PM2.5) were recovered for each city, for most recent years available. Daily averages, maximum hourly values and maximum 8-h averages were calculated for each pollutant. The air quality indices selected were BelAQI, DAQx, DAQI, AtmoIndex, AQIH, and CAQI. The daily value of each air quality indices and the corresponding dominant atmospheric pollutant were determined for each city. A two-stage normalization procedure was applied on air quality indices in a 0–1 range, to allow their direct comparison without altering their structure. All air quality indices exhibited air quality rates over 64% for all cities, thus below the European Union air quality standard. The dominant pollutant was NO2 for both BelAQI and DAQx; O3 for both DAQI and AQIH (with an exception for Warsaw where SO2 was the dominant pollutant). For CAQI, NO2 prevails in Berlin, London, Warsaw, Stockholm, and Oslo, while O3 prevails in Rome, Madrid, and Paris. The dominant pollutant for AtmoIndex was NO2 in Berlin, Warsaw, and Stockholm; O3 in Madrid, Paris, London, and Oslo; PM10 in Rome. A very strong positive statistical correlation ( p < 0.01) was found for all cities between BelAQI and CAQI, and also between CAQI and DAQx. A strong positive statistical correlation ( p < 0.01) was found for all cities between BelAQI and DAQx. A moderate positive correlation was shown between the following pairs of indices: AtmoIndex-DAQI, AtmoIndex-AQIH, DAQI-AQIH, BelAQI-AQIH, and AQIH-CAQI. On the contrary, a weak positive correlation was noticed between the following pairs of indices: BelAQI-DAQI, BelAQI-AtmoIndex, DAQX-DAQI, DAQx-AQIH, DAQI-CAQI, and CAQI-AtmoIndex. After the normalization process that enables the direct comparison of the air quality indices, the main results are the BelAQI presents the largest normalized median (range 0.33–0.5) implying the worst air quality compared to the other air quality indices. The CAQI has a median value of 0.33, the DAQx of 0.25, while the AtmoIndex a median value range of 0.125–0.375, and the DAQI and AQIH of 0.165–0.33. Concluding, the AQIH can be proposed as a common European Union air quality index because: firstly, its calculation comprises all significant atmospheric pollutants including PM2.5, thereby being harmonized with the Directive 2008/50/EC, and, secondly, AQIH does not display extremely low or high (normalized) values compared to the other air quality indices.


Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2816 ◽  
Author(s):  
Alina Barbulescu ◽  
Yousef Nazzal ◽  
Fares Howari

Last period groundwater quality raises big concerns all over the world since it is a limited source of drinkable water and for agricultural and industrial use. While the suitability of the groundwater of Liwa aquifer (Abu Dhabi Emirate) for agricultural use has been previously partially studied, not all the water parameters have been taken into account. Therefore, in this paper, we propose the study of 42 concentrations series of 19 groundwater parameters. We test the hypothesis that the water parameters series recorded at different locations are similar and group the samples in clusters. The main parameters that determine the differences between the clusters are determined by Principal Component Analysis (PCA). Finally, we use a quality index for assessing the water suitability for drinking. The conclusions emphasize the necessity of using more than one technique to evaluate water quality for different purposes and to cross-validate the results.


2021 ◽  
Author(s):  
Zeinab Naeini ◽  
Negin Aghazadeh ◽  
Elmira Karimi ◽  
Zahra Esmaeily ◽  
Faezeh Abaj ◽  
...  

Abstract Background: Although many studies suggest an association between BDNF Val66Met with eating disorders and obesity especially in type 2 diabetes mellitus (T2DM), the interaction between BDNF Val66Met polymorphism and diet quality indices in diabetic patients have not been investigated yet. The current study was aimed to evaluate the interaction between the diet quality indices including Healthy Eating Index (HEI), Diet Quality Index-International (DQI-I), Phytochemical Index (PI) and BDNF Val66Mat (rs6265) polymorphism on markers of inflammation, and oxidative stress in T2DM patients.Methods: This current cross-sectional study was conducted on 634 Iranian T2DM patients aged 35–65 years of both genders were randomly recruited. Dietary intakes was estimated by a food frequency questionnaire (FFQ) with 148 food items. All participants were categorized into three categories, based on DQI, HEI, and PI scores. The interactions were tested using analysis of covariance (ANCOVA) in adjusted and unadjusted models.Results: There were significant gene-diet interactions between BDNF Val66Met polymorphism and HEI, DQI, and PI scores in modulating body mass index (BMI) and waist circumference (WC) values. Our results showed that higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values after adjustment (P Interactions < 0.05). We also observed a significant interaction between the DQI scores and Val66Met polymorphism on level of superoxide dismutase (SOD) (p-interaction= 0.01). The highest quartile of DQI was associated with elevated level of SOD in the Val/Met and Met/Met genotype group. Moreover, the interaction between the DQI scores and Val66Met polymorphism on total antioxidant capacity (TAC) tended to be significant.Conclusions: Higher scores for all diet-quality indices were significantly associated with a lower BMI and WC values. There were significant differences for PTX and PGF2A among HEI tertiles. The interaction between the polymorphism and DQI on TAC and SOD levels were significant.


Evaluation ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 26-41 ◽  
Author(s):  
Estelle Raimondo

Evaluations do not take place in a vacuum. Evaluation systems are embedded within organizations; they shape and are shaped by organizational norms, processes, and behaviors. In International Organizations, evaluation systems are ubiquitous. Yet, little is known about how they “function,” namely how they are used, how they contribute to organizational performance, and how they influence actors’ behaviors. These are empirical questions that cannot be solved without a robust theoretical grounding, which is currently absent from the existing evaluation literature. This article seeks to bridge some of the identified gaps by weaving together insights from evaluation theory and international organization sociology into a unifying framework of factors. The article then demonstrates how the framework can be used to empirically study the relative power and dysfunction of evaluation systems within International Organizations. A forthcoming connected contribution will illustrate such empirical inquiry through the case of the World Bank’s project-level evaluation system.


2020 ◽  
Vol 37 (1) ◽  
pp. 6-18
Author(s):  
Lenin Quiñones-Huatangari ◽  
Luis Ochoa ◽  
Manuel Emilio Milla-Pino ◽  
José Federico Bazán ◽  
Oscar Andrés Gamarra ◽  
...  

Water is a fundamental nutrient in the life of any living being. Therefore, it is necessary to estimate its quality, because it is an issue of increasing concern countries around the world for reasons such as the health of the population, regional, national and international economic development, and the environmental quality of the ecosystems. One tool that has been used to know the state of the water is the water quality indexes (WQI). The objective of this research was to develop a WQI based on fuzzy logic, which allows for the estimation of water quality in the Utcubamba River. The methodology used was proposed by Icaga in 2007. To evaluate the proposed WQI called "Diffuse Water Quality Index" (DWQI), sixteen points from the sampling conducted by the Research Institute for Sustainable Development during October 2014 on the Utcubamba River and its tributaries were used. To validate the index, it was necessary to estimate the correlation coefficient R2 between the results obtained and those of the NSF WQI wáter quality index reported by the Water Research Center. This new index presented results and reasonable correlation, R2 = 0.81. It is concluded that DWQI can be used as a tool for decision making in the water management of the Utcubamba River.


Author(s):  
Hemant Raheja ◽  
Arun Goel ◽  
Mahesh Pal

Abstract The present paper deals with performance evaluation of application of three machine learning algorithms such as Deep neural network (DNN), Gradient boosting machine (GBM) and Extreme gradient boosting (XGBoost) to evaluate the ground water indices over a study area of Haryana state (India). To investigate the applicability of these models, two water quality indices namely Entropy Water Quality Index (EWQI) and Water Quality Index (WQI) are employed in the present study. Analysis of results demonstrated that DNN has exhibited comparatively lower error values and it performed better in the prediction of both indices i.e. EWQI and WQI. The values of Correlation Coefficient (CC = 0.989), Root Mean Square Error (RMSE = 0.037), Nash–Sutcliffe efficiency (NSE = 0.995), Index of agreement (d = 0.999) for EWQI and CC = 0.975, RMSE = 0.055, NSE = 0.991, d = 0.998 for WQI have been obtained. From variable importance of input parameters, the Electrical conductivity (EC) was observed to be most significant and ‘pH’ was least significant parameter in predictions of EWQI and WQI using these three models. It is envisaged that the results of study can be used to righteously predict EWQI and WQI of groundwater to decide its potability.


2020 ◽  
Vol 87 (S1) ◽  
pp. 13-19
Author(s):  
Angela Krueger ◽  
Jenifer Cruickshank ◽  
Erminio Trevisi ◽  
Massimo Bionaz

AbstractAnimal welfare is an essential component of dairy production and several systems exist to evaluate the welfare of dairy cows. Here, we review and compare three well-known systems that operate at farm level from around the world (FARM, Welfare Quality®, and The Code of Welfare) and discuss their advantages and limitations. Despite having some commonalities, the programs evaluate different elements. We also briefly review an emerging system (Integrated Diagnostic Welfare System) that might address some of the shortcomings of the existing systems, especially the possibility of automating the evaluation of animal well-being and identifying any cause of poor welfare. None of the aforementioned systems has been fully validated for their ability to assess animal welfare using independent measurements. The future holds increased attention around the well-being of dairy cows and increased use of sensing technologies. There is an urgent need for dairy welfare evaluation systems that are scientifically validated, holistic, and that can take advantage of the use of sensing technologies to continuously monitor animal welfare.


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