cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11997576
title: Efficacy of secnidazole-diminazene aceturate combination therapy in the late treatment of Trypanosoma brucei brucei infection in dogs

description: This study evaluated the efficacy of combination therapy of secnidazole-diminazene aceturate (SEC-DA) in late treatment of dogs experimentally infected with relapsing strain of Trypanosoma brucei brucei. Fifteen dogs were randomly assigned to 5 groups (A - E) of 3 per group. Group A (uninfected untreated), B (infected untreated), C (infected and treated with DA (3.5 mg/kg) IM stat), D (infected and treated with secnidazole (SEC) (100 mg/kg) orally for 5 days and DA (3.5 mg/kg) IM stat), E (infected and treated with SEC (200 mg/kg) orally for 5 days and DA (3.5 mg/kg) IM stat). Dogs were infected intraperitoneally with 5 x 105 trypanosomes and treatment started 14 days post-infection. Data on parasitaemia, hematology and rectal temperature were recorded. Parasitaemia cleared within 3 days in all the SEC-DA treated dogs and there was no relapse parasitaemia. Parasitaemia did not clear in DA monotherapy dogs. All the SEC-DA treated dogs showed significantly (P &lt; 0.05) higher leucocyte counts, red blood cell count, packed cell volume, hemoglobin concentration and lower rectal temperature than DA monotherapy. It was, therefore, concluded that SEC-DA combination is therapeutically more efficacious than DA monotherapy in the late treatment of T.b. brucei infection in dogs.
DOI: 10.6084/m9.figshare.11997567
title: Evaluation of Lead and Copper content in hair of workers from oil product distribution companies in Iraq

description: Serious health consequences can occur not only from acute exposure to environmental toxicants, but also from chronic exposures to minute quantities. Petroleum substances are widely distributed and used in huge amount, mainly as fuels. A total number of 45 males aged between 20 and 45 years participated in this study. The participants were divided in to two groups: The first group of 25 subjects worked at least 8hours/day in different oil product distribution companies in both Basrah and Thiqar Governorates-Iraq. The second group (control group) of 20 healthy individuals with age and weight matched with the test group and lived far away from hazardous exposure. Heavy metals levels in hair were measured by Atomic Absorption Spectrophotometer. Statistical analysis was performed using GraphPad Prism (version 6.0). Higher levels of lead and cupper were observed in the hair of subjects working in different oil product distribution companies compared to control group. Heavy metals evaluation in hair samples could be used as a good bioindicator of heavy metal exposure in occupational and environmental surveys for various populations for screening for heavy metals toxicity. In the present study high levels of heavy metals were observed in workers at different oil product distribution companies in Iraq.
DOI: 10.6084/m9.figshare.11997576.v1
title: Efficacy of secnidazole-diminazene aceturate combination therapy in the late treatment of Trypanosoma brucei brucei infection in dogs

description: This study evaluated the efficacy of combination therapy of secnidazole-diminazene aceturate (SEC-DA) in late treatment of dogs experimentally infected with relapsing strain of Trypanosoma brucei brucei. Fifteen dogs were randomly assigned to 5 groups (A - E) of 3 per group. Group A (uninfected untreated), B (infected untreated), C (infected and treated with DA (3.5 mg/kg) IM stat), D (infected and treated with secnidazole (SEC) (100 mg/kg) orally for 5 days and DA (3.5 mg/kg) IM stat), E (infected and treated with SEC (200 mg/kg) orally for 5 days and DA (3.5 mg/kg) IM stat). Dogs were infected intraperitoneally with 5 x 105 trypanosomes and treatment started 14 days post-infection. Data on parasitaemia, hematology and rectal temperature were recorded. Parasitaemia cleared within 3 days in all the SEC-DA treated dogs and there was no relapse parasitaemia. Parasitaemia did not clear in DA monotherapy dogs. All the SEC-DA treated dogs showed significantly (P &lt; 0.05) higher leucocyte counts, red blood cell count, packed cell volume, hemoglobin concentration and lower rectal temperature than DA monotherapy. It was, therefore, concluded that SEC-DA combination is therapeutically more efficacious than DA monotherapy in the late treatment of T.b. brucei infection in dogs.
DOI: 10.6084/m9.figshare.11997567.v1
title: Evaluation of Lead and Copper content in hair of workers from oil product distribution companies in Iraq

description: Serious health consequences can occur not only from acute exposure to environmental toxicants, but also from chronic exposures to minute quantities. Petroleum substances are widely distributed and used in huge amount, mainly as fuels. A total number of 45 males aged between 20 and 45 years participated in this study. The participants were divided in to two groups: The first group of 25 subjects worked at least 8hours/day in different oil product distribution companies in both Basrah and Thiqar Governorates-Iraq. The second group (control group) of 20 healthy individuals with age and weight matched with the test group and lived far away from hazardous exposure. Heavy metals levels in hair were measured by Atomic Absorption Spectrophotometer. Statistical analysis was performed using GraphPad Prism (version 6.0). Higher levels of lead and cupper were observed in the hair of subjects working in different oil product distribution companies compared to control group. Heavy metals evaluation in hair samples could be used as a good bioindicator of heavy metal exposure in occupational and environmental surveys for various populations for screening for heavy metals toxicity. In the present study high levels of heavy metals were observed in workers at different oil product distribution companies in Iraq.
DOI: 10.6084/m9.figshare.11997561
title: Analysis and Optimization of Ultra-Low-Power Rectifier with High Efficiency for Applications in Wireless Power Transmission and Energy Harvesting

description: Abstract The system capable of harvesting RF energy from the environment through an antenna and converting it into direct current energy to deliver to a load is known as rectenna. The rectifier circuit is an important part of the rectenna and its modeling is arduous since it employs a non-linear device working at extremely low power levels. In addition, there are some losses in the system. Thus, the design of a high-efficient rectifier is a great challenge. In this work, several rectifier topologies are optimized, using the Genetic Algorithm, in order to achieve the highest efficiency and output voltage. An analysis of the influence of the variables on the output of these rectifiers was also performed. The topologies under investigation were optimized for −15 dBm input power and 2.45 GHz operating frequency, in accordance with the most suitable band for energy harvesting. Under these conditions, the Monodiode Series topology presents the best performance. When the input power is −15 dBm, it presents an output voltage of 402 mV and an efficiency of 51.3%. At that power level, the achieved efficiency is higher than that found in the literature.
DOI: 10.6084/m9.figshare.11997561.v1
title: Analysis and Optimization of Ultra-Low-Power Rectifier with High Efficiency for Applications in Wireless Power Transmission and Energy Harvesting

description: Abstract The system capable of harvesting RF energy from the environment through an antenna and converting it into direct current energy to deliver to a load is known as rectenna. The rectifier circuit is an important part of the rectenna and its modeling is arduous since it employs a non-linear device working at extremely low power levels. In addition, there are some losses in the system. Thus, the design of a high-efficient rectifier is a great challenge. In this work, several rectifier topologies are optimized, using the Genetic Algorithm, in order to achieve the highest efficiency and output voltage. An analysis of the influence of the variables on the output of these rectifiers was also performed. The topologies under investigation were optimized for −15 dBm input power and 2.45 GHz operating frequency, in accordance with the most suitable band for energy harvesting. Under these conditions, the Monodiode Series topology presents the best performance. When the input power is −15 dBm, it presents an output voltage of 402 mV and an efficiency of 51.3%. At that power level, the achieved efficiency is higher than that found in the literature.
DOI: 10.6084/m9.figshare.11997549
title: 3.4/4.0 GHz Tunable Resonant Cavity in SIW Technology Using Metal Post and PIN Diode on a Low-Cost Biasing Network for 5G Applications

description: Abstract This paper presents a dual-band resonant cavity in Substrate Integrated Waveguide (SIW) technology to operate in the range from 3.3 GHz to 4.2 GHz, spectrum considered for the Fifth Generation (5G) network. The cavity was designed to operate at 3.4 GHz and 4.0 GHz. To achieve different states, a jumper and a PIN diode switch are considered as switching elements, connecting and disconnecting the bottom and the upper walls of the SIW resonant cavity through a metal post inserted inside its internal volume. A fitting equation is proposed to predict the maximum resonance frequency caused by the insertion of a single metal post inside the internal volume of the SIW resonant cavity and a new low-cost biasing network is designed on a thin dielectric substrate allocated on the upper wall of the SIW resonant cavity, using transmissions lines and a single capacitor, reducing the final cost and the insertion losses. Good agreement was observed among the fitting equation, computational electromagnetic simulations, and experimental results, validating the proposed methods.
DOI: 10.6084/m9.figshare.11997552
title: Committee neural network and weighted multiple regression to predict the energetic values of poultry feedstuffs

description: Abstract: The objective of this work was to compare the committee neural network (CNN) and weighted multiple linear regression (WMLR) models, in order to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) of poultry feedstuffs. The prediction equation was adjusted by using a WMLR model and the meta-analysis principle. The models were compared by considering the correct prediction percentages, based on the classic prediction intervals and on the highest-probability density intervals, and by using a comparison test for proportions. The accuracy of the models was evaluated based on the values of the mean squared error, coefficient of determination, mean absolute deviation, mean absolute percentage error, and bias. Data from metabolic trials were used to compare the selected models. The committee neural network is the model that showed the highest accuracy of prediction, being recommended as the most accurate model to predict AMEn values for energetic concentrate feedstuffs used by the poultry feed industry.
DOI: 10.6084/m9.figshare.11997552.v1
title: Committee neural network and weighted multiple regression to predict the energetic values of poultry feedstuffs

description: Abstract: The objective of this work was to compare the committee neural network (CNN) and weighted multiple linear regression (WMLR) models, in order to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) of poultry feedstuffs. The prediction equation was adjusted by using a WMLR model and the meta-analysis principle. The models were compared by considering the correct prediction percentages, based on the classic prediction intervals and on the highest-probability density intervals, and by using a comparison test for proportions. The accuracy of the models was evaluated based on the values of the mean squared error, coefficient of determination, mean absolute deviation, mean absolute percentage error, and bias. Data from metabolic trials were used to compare the selected models. The committee neural network is the model that showed the highest accuracy of prediction, being recommended as the most accurate model to predict AMEn values for energetic concentrate feedstuffs used by the poultry feed industry.
DOI: 10.6084/m9.figshare.11997555
title: Building up a national network of applied R&D institutes in an emerging innovation system

description: Abstract Paper aims This paper aims at answering the research question “How to successfully build up and strategically manage a new network of applied R&D in Brazil?” Originality The paper is based on a unique experience of a strategic partnership, transferring the experiences of managing the largest network of applied research in Europe to the Brazilian National Innovation System (NIS). Research method The research described in this paper follows an action research approach, using a participative process of rapid prototyping, pilot tests and continuous revision and adaptation. Main findings The paper presents a comprehensive and consistent set of management models, procedures and tools for the planning, implementation and evaluation of applied R&D institutes. Implications for theory and practice The paper’s findings contribute to the empirical research on methodologies to manage knowledge-based networks and innovation actors at the interface between research and industry.
DOI: 10.6084/m9.figshare.11997546
title: Similarity networks for the classification of rice genotypes as to adaptability and stability

description: Abstract: The objective of this work was to evaluate the similarity network graphic methodology for the classification of flood-irrigated rice (Orzya sativa) genotypes regarding their adaptability and stability. Two statistical measures were used to represent the proximity of the behavior (based on Pearson’s correlation) or values (based on Gower’s distance) between pairs of genotypes or between genotype and environment. Productivity data of 18 genotypes were evaluated in three locations in the state of Minas Gerais, Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in a randomized complete block design. The genotypes were previously assessed for adaptability and stability by the Eberhart & Russell and centroid methods. The graphical representations provided by the similarity networks allowed to better identify the pattern of the genotype x environment interaction, overcoming the interpretation difficulties due to the disagreements between the results obtained by the Eberhart & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.
DOI: 10.6084/m9.figshare.11997549.v1
title: 3.4/4.0 GHz Tunable Resonant Cavity in SIW Technology Using Metal Post and PIN Diode on a Low-Cost Biasing Network for 5G Applications

description: Abstract This paper presents a dual-band resonant cavity in Substrate Integrated Waveguide (SIW) technology to operate in the range from 3.3 GHz to 4.2 GHz, spectrum considered for the Fifth Generation (5G) network. The cavity was designed to operate at 3.4 GHz and 4.0 GHz. To achieve different states, a jumper and a PIN diode switch are considered as switching elements, connecting and disconnecting the bottom and the upper walls of the SIW resonant cavity through a metal post inserted inside its internal volume. A fitting equation is proposed to predict the maximum resonance frequency caused by the insertion of a single metal post inside the internal volume of the SIW resonant cavity and a new low-cost biasing network is designed on a thin dielectric substrate allocated on the upper wall of the SIW resonant cavity, using transmissions lines and a single capacitor, reducing the final cost and the insertion losses. Good agreement was observed among the fitting equation, computational electromagnetic simulations, and experimental results, validating the proposed methods.
DOI: 10.6084/m9.figshare.11997555.v1
title: Building up a national network of applied R&D institutes in an emerging innovation system

description: Abstract Paper aims This paper aims at answering the research question “How to successfully build up and strategically manage a new network of applied R&D in Brazil?” Originality The paper is based on a unique experience of a strategic partnership, transferring the experiences of managing the largest network of applied research in Europe to the Brazilian National Innovation System (NIS). Research method The research described in this paper follows an action research approach, using a participative process of rapid prototyping, pilot tests and continuous revision and adaptation. Main findings The paper presents a comprehensive and consistent set of management models, procedures and tools for the planning, implementation and evaluation of applied R&D institutes. Implications for theory and practice The paper’s findings contribute to the empirical research on methodologies to manage knowledge-based networks and innovation actors at the interface between research and industry.
DOI: 10.6084/m9.figshare.11997543
title: Milk production systems in Southern Brazil

description: Abstract The aim of this study was to verify the dynamics of milk production in Southern Brazil, analyzing the spatial distribution, evolution and structure of bovine milk production systems in the dairy-specialized microregions. To this end, annual data from 2000 to 2015 are drawn from the Municipal Livestock Survey, reported by the Instituto Brasileiro de Geografia e Estatística, and the Programa Nacional de Fortalecimento da Agricultura Familiar, reported by the Banco Central do Brasil. Location quotient analyses, principal component analyses and clustering analyses are applied. Results of the location quotient analysis indicate that, of the 94 microregions in Southern Brazil, 36 are specialized in milk production. Two principal components were identified (mechanized production and family production) capable of explaining 78.3% of the variation in the data. Among microregions specialized in milk production, cluster analysis identifies four groups that are differentiated by productivity levels and predominance of family versus commercial production. Furthermore, results reveal that there is substantial heterogeneity among microregions specialized in bovine milk production in Southern Brazil.
DOI: 10.6084/m9.figshare.11997546.v1
title: Similarity networks for the classification of rice genotypes as to adaptability and stability

description: Abstract: The objective of this work was to evaluate the similarity network graphic methodology for the classification of flood-irrigated rice (Orzya sativa) genotypes regarding their adaptability and stability. Two statistical measures were used to represent the proximity of the behavior (based on Pearson’s correlation) or values (based on Gower’s distance) between pairs of genotypes or between genotype and environment. Productivity data of 18 genotypes were evaluated in three locations in the state of Minas Gerais, Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in a randomized complete block design. The genotypes were previously assessed for adaptability and stability by the Eberhart & Russell and centroid methods. The graphical representations provided by the similarity networks allowed to better identify the pattern of the genotype x environment interaction, overcoming the interpretation difficulties due to the disagreements between the results obtained by the Eberhart & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.
DOI: 10.6084/m9.figshare.11997516
title: QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems

description: Abstract The Flying Ad-hoc Network (FANET) networks have often operated in regions that are difficult to reach and have no fixed infrastructure. The use of devices such as Unmanned Aerial Vehicles (UAV) enable aerial networks to be created that are extremely fast, although there are no specific routing protocols for this type of network that can make communication more efficient among these devices. For this reason, this paper sets out a specific routing protocol for FANET networks that is designed for the discovery of routes among UAV devices. Evidence of the benefits of this strategy has been obtained through simulation by the Network Simulator version 2.
DOI: 10.6084/m9.figshare.11997510
title: Sensitivity analysis of particle size distribution function during flocculation

description: ABSTRACT In this paper, the sensitivity of the continuous particle size distribution function (PSD) was evaluated, as flocculation occurs. To this end, six discrete configurations were investigated, subdivided into 3, 4, 5, 6, 7, 8, 10 and 15 classes. The distribution studied here differ in the particles presented by size range and behavior, whether monotonic or unimodal. The adjustment of the continuous function in linearized form to the discrete data was evaluated by means of R2. The power law coefficient (β) and the center of mass (C.M) were taken as representative of PSD during the sensitivity analysis, which was carried out by means of multiple correlation between the variables. Batch essays were performed in order to evaluate simulations. Results showed that β and C.M were both sensitive to PSD variations; however, the function adjustments for unimodal distributions need improvement.
DOI: 10.6084/m9.figshare.11997510.v1
title: Sensitivity analysis of particle size distribution function during flocculation

description: ABSTRACT In this paper, the sensitivity of the continuous particle size distribution function (PSD) was evaluated, as flocculation occurs. To this end, six discrete configurations were investigated, subdivided into 3, 4, 5, 6, 7, 8, 10 and 15 classes. The distribution studied here differ in the particles presented by size range and behavior, whether monotonic or unimodal. The adjustment of the continuous function in linearized form to the discrete data was evaluated by means of R2. The power law coefficient (β) and the center of mass (C.M) were taken as representative of PSD during the sensitivity analysis, which was carried out by means of multiple correlation between the variables. Batch essays were performed in order to evaluate simulations. Results showed that β and C.M were both sensitive to PSD variations; however, the function adjustments for unimodal distributions need improvement.
DOI: 10.6084/m9.figshare.11997516.v1
title: QoS and QoE Aware Routing Protocol for Flying Ad-Hoc Surveillance Networks Using Fuzzy Inference Systems

description: Abstract The Flying Ad-hoc Network (FANET) networks have often operated in regions that are difficult to reach and have no fixed infrastructure. The use of devices such as Unmanned Aerial Vehicles (UAV) enable aerial networks to be created that are extremely fast, although there are no specific routing protocols for this type of network that can make communication more efficient among these devices. For this reason, this paper sets out a specific routing protocol for FANET networks that is designed for the discovery of routes among UAV devices. Evidence of the benefits of this strategy has been obtained through simulation by the Network Simulator version 2.