bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-robot Cooperation Strategy Based on Wireless Sensor Network
Authors: Sun Bo , Li Jingwei , Yang Guanci
Published: November 2018

To realize the design of multi-robot cooperative control based on wireless sensor networks, a large number of local control research experiments are carried out on a specific model of mobile robots. Combined with the kinematic model of mobile robot, the motion characteristics of this kind of mobile robot are grasped. On the basis of realizing the multi-target tracking and positioning of wireless sensor network, a multi mobile robot cooperative control system based on the feedback of wireless sensor network is developed, and the synchronous motion between the master and the robot is maintained through the feedback control of the network. Finally, a cooperative trajectory tracking control algorithm for mobile robot is introduced, and the principle of the controller design is mastered. A multi mobile robot cooperative trajectory tracking LQG controller is designed for mobile robot in wireless sensor network. The simulation results show that the algorithm can reach the cooperative control target.
Exploration of Wireless Sensor Network Based on RSSI Positioning Algorithm
Authors: Liu Shuan
Published: November 2018

Based on the security of the receiving signal strength indicator positioning algorithm, the RSSI positioning algorithm in the environment of witch attack, wormhole attack and replication attack has largely failed.Although existing security positioning algorithms can effectively prevent attacks from occurring, the massive consumption of network resources can’t be ignored.Therefore, a tolerable security positioning method is proposed for each of the three attacks in order to improve the security of positioning.According to the node's physical information, the attack node is detected.Through simulation experiments, compared with the traditional indoor security positioning method, the proposed algorithm can significantly reduce the intervention of witch attack, wormhole attack and replication attack on positioning error.While achieving the goal of combating attacks, it reduces the computational complexity, decreases node energy consumption, and extends the network life cycle.
Slope Detection Based on Grating Sensors
Authors: Huang Lin , Liu Fengyin , Li Jun
Published: November 2018

Because slope detection is often subject to various electromagnetic disturbances and weather limitations, there is an urgent need to develop a monitoring system that has the advantages of strong anti-electromagnetic interference capability, long service life, and small external environmental impact.Based on this demand, a real-time slope monitoring system based on fiber Bragg grating angle, crack, and osmotic pressure sensors is designed.The design idea is to use the sensitivity of FBG to the external stress, and the angle and crack penetrating pressure information are obtained from the offset of wavelength in different sensors to determine the stability of the slope.The design and implementation of the FBG slope monitoring system can better solve the existing problems in the slope monitoring, improve the ability to predict dangers, and strengthen the safety monitoring capability.The utility value of the system is high.
Unmanned Aerial Patrol Technology Based on Tracking Algorithm of Target Tracking
Authors: Yao Yao , Quan Qing-le , Zhang Hong-hui , Li Qiong
Published: November 2018

In order to study the power patrol technology of unmanned aerial vehicle, the tracking algorithm was applied. The automatic patrolling of power lines was discussed in terms of algorithms. An unmanned aerial vehicle transmission line inspection method based on machine vision was proposed. The image and video of the unmanned aerial vehicle inspection of the power line had a complex background. By Wiener filtering de-noising and probability density functions, the image clarity was improved. According to the existing tracking techniques and algorithms, a Camshaft target tracking algorithm based on lossless Kalman filter was proposed. The method of non-destructive Kalman filter was adopted to predict the region of interest of power line identification. Using the Camshaft algorithm, the prediction of the window was searched and the size of the window was adjusted. Transmission lines were tracked in real time. The results showed that the restoration effect of the algorithm was obvious. The clarity of the image was improved. It prepared for the extraction and tracking of the future transmission lines. Therefore, the proposed method provides a feasible way for the UAV power line inspection technology based on machine vision.
Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm
Authors: Duan Li-Mei
Published: November 2018

To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.
Location Optimization of Wireless Sensor Network in Intelligent Workshop Based on the Three-Dimensional Adaptive Fruit Fly Optimization Algorithm
Authors: Li Shaobo , Zhang Chenglong , Qu Jinglei
Published: November 2018

The production process of modern manufacturing industry is complex and changeable, manufacturing resources have extensive dynamic characteristics. For effectively managing and controlling manufacturing resources, realizing real-time location data collection of intelligent workshop, a manufacturing resource location sensing architecture based on the wireless sensor network is proposed. For en-suring real-time accuracy of manufacturing resource location data in the intelligent workshop, a three-dimensional adaptive fruit fly optimization algorithm is de-signed to estimate the location coordinates, the new algorithm introduced the adaptive inertial weight coefficient, retained the advantage of strong local search ability of fruit fly optimization algorithm, improved the ability of global optimiza-tion, effectively solved the problem of three-dimensional location in intelligent workshop. The simulation results show that, the algorithm in this paper is applied to the location calculation of triangulation, which has smaller location error and shorter operation time, it improves the accuracy of the location data and meets the real-time location requirements of manufacturing resources such as intelligent workshop staff, materials, logistics vehicles etc. facilitate resource sensing and scheduling management, thereby improving management standards and product quality.
Een mediapark in Brussel? De mediasector en zijn regionale dynamiek
Authors: Komorowski Marlen , Wiard Victor , Derinöz Sabri , Picone Ike , Domingo David , Patriarche Geoffroy
Published: November 2018

In deze synthesenota analyseren we vanuit een mediaclusterperspectief de kenmerken van de Brusselse mediasector en evalueren we de implicaties voor de grote beleidsinterventie van het Brussels Hoofdstedelijk Gewest in deze sector: mediapark.brussels. Dit stadsontwikkelingsproject ter hoogte van de Reyerslaan, vlak bij de huidige site van de openbare televisiezenders VRT en RTBF, zal tien jaar in beslag nemen. De resultaten van ons onderzoek werpen een licht op verschillende clusterconfiguraties in de Brusselse mediasector, belichten de diversiteit van de medewerkers en bieden een overzicht van de verschillende modellen en activiteiten van werknemersgemeenschappen. Tevens wordt het huidige beleidskader voor het project mediapark.brussels geschetst. De verkregen inzichten worden aangewend om de mogelijke strategieën voor het project te beoordelen, rekening houdend met het feit dat media in België een bevoegdheid van de gemeenschappen is en niet van de Brusselse Hoofdstedelijke Regering. We bespreken hierbij de spanningen die tot uiting komen bij de ontwikkeling van mediapark.brussels: tussen stadsontwikkeling en culturele ontwikkeling, tussen het lokale en het internationale perspectief, en tussen breed opgevatte en gespecialiseerde mediaclusters.
Sexual violence against children and youth: Exploring the role of congregations in addressing the protection of young girls on the Cape Flats
Authors: Weber Shantelle , Bowers-DuToit Nadine
Published: November 2018

The Children’s Institute, a research arm of the University of Cape Town, reports that 18.5 million children live in South Africa. The institute’s vision is for ‘A society in which children are valued, nurtured and protected; their rights are realised; and where they are able to participate, develop and reach their full potential’. A quick scan of South African newspaper headlines, however, reflects numerous accounts of the abduction, rape and murder of young girls on the Cape Flats in Cape Town, South Africa, during 2016–2017. This seems to confirm the statistic that one in three children is a victim of sexual violence and physical abuse before the age of 18. Sadly, many of these instances are alleged to have been linked to a family member or close family friend. Some have even been linked to Christian church contexts. This article explores this unacceptable rise in violence against these young girls and from this vantage point continues to more specifically reflect on the role congregations can play in such instances. The article argues that such abuse takes place within an ecosystem of violence and then considers how the trauma of such an experience has affected the faith formation of these young girls. The article, furthermore, highlights the recent publication entitled ‘Children, Church and the Law’, which calls for the establishment of church policy on the protection of children in our local congregations and communities as one preventative and educative tool in addressing this issue.
Empathy as resistance in an age of protest: Turning the other cheek
Authors: Dreyer Yolanda
Published: November 2018

In today’s ‘age of protest’, people have the right to publically resist what they perceive to be unjust and abusive. Sometimes, public protest is non-violent, but often it becomes destructive. People get hurt and property is damaged. Those who have the least are often affected most. This article explores the potential of the centuries old ethics of the Jesus tradition coupled with recent insights from psychology on empathy, for effective and necessary resistance against injustice and power abuse, but without the futility of the violence and destruction. This way of love resists all evil, oppression and injustice, and has the power to break the spiral of violence.
Why does network governance fail in managing post-disaster conditions in the Philippines?
Authors: Jovita Hazel D. , Nurmandi Achmad , Mutiarin Dyah , Purnomo Eko P.
Published: November 2018

Disasters are the litmus test of governance. The inherent complexity of disasters places government agencies and societies in vulnerable situations. This study uses the mixed-method approach to social network analysis in evaluating the network structure of the Philippine disaster management and its implications for disaster governance. A survey was conducted among the target 56 identified disaster response-related agencies and organisations from the disaster management networks of the most susceptible areas in the Philippines – Cities of Cagayan de Oro and Iligan, Province of Misamis Oriental and the overall Region 10 disaster response network, aimed at measuring the existing relationships among member agencies. Forty-four agencies and organisations were able to participate in the survey. Also, key informant interviews were conducted among the representatives of the lead agencies, non-government organisations and survivors of Typhoon Washi. The findings revealed that the mandated tall structure and the lead organisation form of network governance as stipulated in Republic Act 10121 does not work in the regional and local disaster management networks in Region 10, particularly during Typhoon Washi in 2010. At the regional level, such structure does not build interdependencies among agencies, while at the local level, disaster response operations are constrained by bureaucratic protocols making disaster management networks ineffective. At the regional level, where many agencies and organisations are involved, the existing less centralised structure of decision-making should be transformed into a highly centralised structure, while disaster operations should be improved through coordination at all levels of disaster operations and intensified collaboration with non-government agencies.
Effect of diabetes self-management education on glycaemic control among type 2 diabetic patients at a family medicine clinic in Kenya: A randomised controlled trial
Authors: Gathu Catherine W. , Shabani Jacob , Kunyiha Nancy , Ratansi Riaz
Published: November 2018

Background: Diabetes self-management education (DSME) is a key component of diabetes care aimed at delaying complications. Unlike usual care, DSME is a more structured educational approach provided by trained, certified diabetes educators (CDE). In Kenya, many diabetic patients are yet to receive this integral component of care. At the family medicine clinic of the Aga Khan University Hospital (AKUH), Nairobi, the case is no different; most patients lack education by CDE.Aim: This study sought to assess effects of DSME in comparison to usual diabetes care by family physicians.Setting: Family Medicine Clinic, AKUH, Nairobi.Methods: Non-blinded randomised clinical trial among sub-optimally controlled (glycated haemoglobin (HbA1c) ≥ 8%) type 2 diabetes patients. The intervention was DSME by CDE plus usual care versus usual care from family physicians. Primary outcome was mean difference in HbA1c after six months of follow-up. Secondary outcomes included blood pressure and body mass index.Results: A total of 220 diabetes patients were screened out of which 140 met the eligibility criteria and were randomised. Around 96 patients (69%) completed the study; 55 (79%) in the DSME group and 41 (59%) in the usual care group. The baseline mean age and HbA1c of all patients were 48.8 (standard deviation [SD]: 9.8) years and 9.9% (SD: 1.76%), respectively. After a 6-month follow-up, no significant difference was noted in the primary outcome (HbA1c) between the two groups, with a mean difference of 0.37 (95% confidence interval: -0.45 to 1.19; p = 0.37). DSME also made no remarkable change in any of the secondary outcome measures.Conclusion: From this study, short-term biomedical benefits of a structured educational approach seemed to be limited. This suggested that offering a short, intensified education programme might have limited additional benefit above and beyond the family physicians’ comprehensive approach in managing chronic conditions like diabetes.
Evaluating PCR-Based Detection of Salmonella Typhi and Paratyphi A in the Environment as an Enteric Fever Surveillance Tool
Authors: Saha Senjuti , Tanmoy Arif M. , Andrews Jason R. , Sajib Mohammad S. I. , Yu Alexander T. , Baker Stephen , Luby Stephen P. , Saha Samir K.
Published: November 2018

With prequalification of a typhoid conjugate vaccine by the World Health Organization, countries are deciding whether and at what geographic scale to provide the vaccine. Optimal local data to clarify typhoid risk are expensive and often unavailable. To determine whether quantitative polymerase chain reaction (qPCR) can be used as a tool to detect typhoidal Salmonella DNA in the environment and approximate the burden of enteric fever, we tested water samples from urban Dhaka, where enteric fever burden is high, and rural Mirzapur, where enteric fever burden is low and sporadic. Sixty-six percent (38/59) of the water sources of Dhaka were contaminated with typhoidal Salmonella DNA, in contrast to none of 33 samples of Mirzapur. If these results can be replicated in larger scale in Bangladesh and other enteric fever endemic areas, drinking water testing could become a low-cost approach to determine the presence of typhoidal Salmonella in the environment that can, in turn, guide informed-design of blood culture-based surveillance and thus assist policy decisions on investing to control typhoid.
Tropospheric ozone in CCMI models and Gaussian process emulation to understand biases in the SOCOLv3 chemistry–climate model
Authors: Revell Laura E. , Stenke Andrea , Tummon Fiona , Feinberg Aryeh , Rozanov Eugene , Peter Thomas , Abraham N. Luke , Akiyoshi Hideharu , Archibald Alexander T. , Butchart Neal , Deushi Makoto , Jöckel Patrick , Kinnison Douglas , Michou Martine , Morgenstern Olaf , O'Connor Fiona M. , Oman Luke D. , Pitari Giovanni , Plummer David A. , Schofield Robyn , Stone Kane , Tilmes Simone , Visioni Daniele , Yamashita Yousuke , Zeng Guang
Published: November 2018

Abstract. Previous multi-model intercomparisons have shown that chemistry–climate
models exhibit significant biases in tropospheric ozone compared with
observations. We investigate annual-mean tropospheric column ozone in 15
models participating in the SPARC–IGAC (Stratosphere–troposphere Processes
And their Role in Climate–International Global Atmospheric Chemistry)
Chemistry-Climate Model Initiative (CCMI). These models exhibit a positive
bias, on average, of up to 40 %–50 % in the Northern Hemisphere compared with
observations derived from the Ozone Monitoring Instrument and Microwave Limb
Sounder (OMI/MLS), and a negative bias of up to ∼30 % in the Southern
Hemisphere. SOCOLv3.0 (version 3 of the Solar-Climate Ozone Links CCM), which
participated in CCMI, simulates global-mean tropospheric ozone columns of
40.2 DU – approximately 33 % larger than the CCMI multi-model mean. Here we
introduce an updated version of SOCOLv3.0, “SOCOLv3.1”, which includes an
improved treatment of ozone sink processes, and results in a reduction in the
tropospheric column ozone bias of up to 8 DU, mostly due to the inclusion of
N2O5 hydrolysis on tropospheric aerosols. As a result of these
developments, tropospheric column ozone amounts simulated by SOCOLv3.1 are
comparable with several other CCMI models. We apply Gaussian process
emulation and sensitivity analysis to understand the remaining ozone bias in
SOCOLv3.1. This shows that ozone precursors (nitrogen oxides
(NOx), carbon monoxide, methane and other volatile organic
compounds, VOCs) are responsible for more than 90 % of the variance in tropospheric
ozone. However, it may not be the emissions inventories themselves that
result in the bias, but how the emissions are handled in SOCOLv3.1, and we
discuss this in the wider context of the other CCMI models. Given that the
emissions data set to be used for phase 6 of the Coupled Model
Intercomparison Project includes approximately 20 % more NOx
than the data set used for CCMI, further work is urgently needed to address
the challenges of simulating sub-grid processes of importance to tropospheric
ozone in the current generation of chemistry–climate models.
TM5-FASST: a global atmospheric source–receptor model for rapid impact analysis of emission changes on air quality and short-lived climate pollutants
Authors: Van Dingenen Rita , Dentener Frank , Crippa Monica , Leitao Joana , Marmer Elina , Rao Shilpa , Solazzo Efisio , Valentini Luana
Published: November 2018

Abstract. This paper describes, documents, and validates the TM5-FAst Scenario Screening
Tool (TM5-FASST), a global reduced-form air quality source–receptor model
that has been designed to compute ambient pollutant concentrations as well as
a broad range of pollutant-related impacts on human health, agricultural crop
production, and short-lived pollutant climate metrics, taking as input annual
pollutant emission data aggregated at the national or regional level. The
TM5-FASST tool, providing a trade-off between accuracy and applicability, is
based on linearized emission-concentration sensitivities derived with the
full chemistry-transport model TM5. The tool has been extensively applied in
various recent critical studies. Although informal and fragmented validation
has already been performed in various publications, this paper provides a
comprehensive documentation of all components of the model and a validation
against the full TM5 model. We find that the simplifications introduced in
order to generate immediate results from emission scenarios do not compromise
the validity of the output and as such TM5-FASST is proven to be a useful
tool in science-policy analysis. Furthermore, it constitutes a suitable
architecture for implementing the ensemble of source–receptor relations
obtained in the frame of the HTAP modelling exercises, thus creating a link
between the scientific community and policy-oriented users.
Bias correction in assimilation of AOD observations with WRF-Chem
Authors: Kliewer Anton , Zupanski Milija , Bian Qijing , Atwood Sam , Wang Yi , Wang Jun
Published: November 2018

Abstract. Accurate prediction and representation of three-dimensional aerosol distributions in the littoral (coastal) zone is both desired and difficult with many compounding factors contributing to this problem. To reduce uncertainty in forecasting in coastal regions, a coupled meteorological-aerosol data assimimilation (DA) system has been configured to include satellite observations of aerosol optical depth (AOD). These high-resolution observations are from newly-devised retrieval algorithms that utilize Moderate Resolution Imaging Spectroradiometer (MODIS) data to retrieve AOD over the coastal and turbid water surface. The Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) is combined with an ensemble-based DA system, the Maximum Likelihood Ensemble Filter (MLEF), to simulate a dust event over the Arabian Peninsula from 2016. The assimimilation of AOD observations required the development of a forward operator that converts model predictions into observation space. This operator, which incorporates hygroscopic growth of aerosol particles and determines extinction efficiency based via Mie theory, has a positive bias between the model guess and the retrieved AOD observations. In order to reduce this bias two different methods are proposed and evaluated. One is a moving average method employed throughout the case study while the other relies on a statistical re-sampling approach. The conclusion of these experiments, determined by a number of metrics including, but not limited to, root mean square (RMS) errors, an evaluation of the reduction in the cost function, and degrees of freedom for signal (DFS), indicate that the bias reduction scheme that accumulates bias information throughout the case study outperforms the method based on re-sampling. This conclusion is corroborated by inspection of the analysis increments from the DA process and by the innovations in observational space. An analysis of the non-Gaussian innovations resulting from the non-linear forward operator is also presented. This research is in support of a Multidisciplinary University Research Initiative (MURI) supported by the Office of Naval Research (ONR) with the primary goal of understanding aerosols in the littoral zone.
Biochemical and structural controls on the decomposition dynamics of boreal upland forest moss tissues
Authors: Philben Michael , Butler Sara , Billings Sharon A. , Benner Ronald , Edwards Kate A. , Ziegler Susan E.
Published: November 2018

Abstract. Mosses contribute an average of 20 % of boreal upland forest net primary
productivity and are frequently observed to degrade slowly compared to
vascular plants. If this is caused primarily by the chemical complexity of
their tissues, moss decomposition could exhibit high temperature sensitivity
(measured as Q10) due to high activation energy, which would imply that
soil organic carbon (SOC) stocks derived from moss remains are especially
vulnerable to decomposition with warming. Alternatively, the physical
structure of the moss cell-wall biochemical matrix could inhibit
decomposition, resulting in low decay rates and low temperature sensitivity.
We tested these hypotheses by incubating mosses collected from two boreal
forests in Newfoundland, Canada, for 959 days at 5 ∘C and
18 ∘C, while monitoring changes in the moss tissue composition using
total hydrolyzable amino acid (THAA) analysis and 13C nuclear
magnetic resonance (NMR) spectroscopy. Less than 40 % of C
was respired in all incubations, revealing a large pool of apparently
recalcitrant C. The decay rate of the labile fraction increased in the warmer
treatment, but the total amount of C loss increased only slightly, resulting
in low Q10 values (1.23–1.33) compared to L horizon soils collected
from the same forests. NMR spectra were dominated by O-alkyl C throughout the
experiment, indicating the persistence of potentially labile C. The
accumulation of hydroxyproline (derived primarily from plant cell-wall
proteins) and aromatic C indicates the selective preservation of biochemicals
associated with the moss cell wall. This was supported by scanning electron
microscope (SEM) images of the moss tissues, which revealed few changes in
the physical structure of the cell wall after incubation. This suggests that
the moss cell-wall matrix protected labile C from microbial decomposition,
accounting for the low temperature sensitivity of moss decomposition despite
low decay rates. Climate drivers of moss biomass and productivity, therefore,
represent a potentially important regulator of boreal forest SOC responses to
climate change that needs to be assessed to improve our understanding of
carbon–climate feedbacks.
Monitoring snow depth change across a range of landscapes with ephemeral snowpacks using structure from motion applied to lightweight unmanned aerial vehicle videos
Authors: Fernandes Richard , Prevost Christian , Canisius Francis , Leblanc Sylvain G. , Maloley Matt , Oakes Sarah , Holman Kiyomi , Knudby Anders
Published: November 2018

Abstract. Differencing of digital surface models derived from structure from motion
(SfM) processing of airborne imagery has been used to produce snow depth (SD) maps with
between ∼2 and ∼15 cm horizontal resolution and accuracies of
±10 cm over relatively flat surfaces with little or no vegetation and
over alpine regions. This study builds on these findings by testing two
hypotheses across a broader range of conditions: (i) that the vertical
accuracy of SfM processing of imagery acquired by commercial low-cost unmanned aerial vehicle
(UAV)
systems can be adequately modelled using conventional photogrammetric theory
and (ii) that SD change can be more accurately estimated by differencing snow-covered elevation surfaces rather than differencing a snow-covered
and snow-free surface. A total of 71 UAV missions were flown over five sites,
ranging from short grass to a regenerating forest, with ephemeral snowpacks.
Point cloud geolocation performance agreed with photogrammetric theory that
predicts uncertainty is proportional to UAV altitude and linearly related to
horizontal uncertainty. The root-mean-square difference (RMSD) over the
observation period, in comparison to the average of in situ measurements
along ∼50 m transects, ranged from 1.58 to 10.56 cm for weekly SD and
from 2.54 to 8.68 cm for weekly SD change. RMSD was not related to
microtopography as quantified by the snow-free surface roughness. SD change
uncertainty was unrelated to vegetation cover but was dominated by outliers
corresponding to rapid in situ melt or onset; the median absolute difference
of SD change ranged from 0.65 to 2.71 cm. These results indicate that the
accuracy of UAV-based estimates of weekly snow depth change was, excepting
conditions with deep fresh snow, substantially better than for snow depth and
was comparable to in situ methods.
Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards
Authors: Lawrence Isobel R. , Tsamados Michel C. , Stroeve Julienne C. , Armitage Thomas W. K. , Ridout Andy L.
Published: November 2018

Abstract. Snow depth on sea ice
remains one of the largest uncertainties in sea ice thickness retrievals from
satellite altimetry. Here we outline an approach for deriving snow depth that
can be applied to any coincident freeboard measurements after calibration
with independent observations of snow and ice freeboard. Freeboard estimates
from CryoSat-2 (Ku band) and AltiKa (Ka band) are calibrated against data
from NASA's Operation IceBridge (OIB) to align AltiKa with the snow surface
and CryoSat-2 with the ice–snow interface. Snow depth is found as the
difference between the two calibrated freeboards, with a correction added for
the slower speed of light propagation through snow. We perform an initial
evaluation of our derived snow depth product against OIB snow depth data by
excluding successive years of OIB data from the analysis. We find a
root-mean-square deviation of 7.7, 5.3, 5.9, and 6.7 cm between our
snow thickness product and OIB data from the springs of 2013, 2014, 2015, and
2016 respectively. We further demonstrate the applicability of the method to
ICESat and Envisat, offering promising potential for the application to
CryoSat-2 and ICESat-2, which launched in September 2018.
A PERCEPÇÃO INFANTIL SOBRE AS AULAS DE EDUCAÇÃO FÍSICA EM UMA ESCOLA PÚBLICA DO MUNICÍPIO DE ESTEIO, RS
Authors: Medeiros Thaina De Avila , Toigo Adriana Marques , Brauner Luciana Martins
Published: November 2018

Este estudo teve como objetivo identificar a percepção de alunos de 7 a 9 anos de idade sobre as aulas de Educação Física em uma escola pública no município de Esteio, RS. Foram realizadas entrevistas semiestruturadas com 49 estudantes e seu respectivo professor de Educação Física, bem como observações não participantes, as quais foram descritas em um diário de campo, e, ainda, análise de documentos. Como resultados, 23 alunos relataram não saber a importância do que é aprendido nas aulas, 45 relataram alegria em participar das atividades e 27 relataram não conhecer o propósito do que aprendem em aula. Concluímos que os alunos possuem bastante simpatia pela disciplina, porém que não reconhecem em seu cotidiano a aplicação do que é aprendido nas aulas.
COMO OCORREU O PROCESSO DE TÉRMINO DA CARREIRA ESPORTIVA DE EX-ATLETAS DE FUTEBOL QUE DISPUTARAM COPAS DO MUNDO PELO BRASIL ENTRE 1966 E 1982?
Authors: Reis Cleiton Pereira , De Mello Santiago Marisa Lúcia , Custódia Ferreira Márcia Cristina , Albuquerque Maicon Rodrigues , Pimenta Eduardo Mendonça , Da Costa Varley Teoldo
Published: November 2018

Resumo: Esse trabalho analisou o término da carreira de ex-atletas de futebol que disputaram Copas do Mundo pelo Brasil entre 1966 e 1982. Seis ex-atletas foram entrevistados. Realizou-se a transcrição das entrevistas e uma análise qualitativa foi feita. Os ex-atletas abandonaram os estudos. Apenas um deles voltou a estudar depois do término da carreira. Os ex-atletas mencionaram que fatores como idade, saturação psicológica e lesões foram as principais causas para o término da carreira esportiva. Os entrevistados assumiram diferentes postos de trabalho relacionados ao esporte depois do término da carreira como atleta. A família foi a principal fonte de apoio para o término da carreira. Conclui-se que os entrevistados não tiveram um planejamento estruturado para o término da carreira.Palavras-chave: Aposentadoria. Atletas. Futebol.
EFEITOS DAS FASES DO CICLO MENSTRUAL E DA SÍNDROME PRÉ-MENSTRUAL SOBRE A APTIDÃO FÍSICA E PERCEPÇÃO SUBJETIVA DE ESFORÇO EM MULHERES JOVENS
Authors: Da Silva Jéssica Dias , Farias Déborah Araújo , Raiol Rodolfo De Azevedo , Estevam Erika Cristina Murgia , Coswig Victor Silveira
Published: November 2018

O objetivo consistiu em investigar os efeitos das fases do Ciclo Menstrual (CM) em variáveis da aptidão física e a percepção subjetiva do esforço em mulheres jovens. Para tal, foram recrutadas 11 mulheres universitárias, que foram submetidas a testes de potência e de força dos membros superiores e inferiores e de aptidão aeróbia nas fases Folicular, Ovulatória e Lútea. Foram aplicados os testes de Arremesso de Medicine Ball, Salto Vertical e Horizontal, YoYo IRT e de 1RM. Os resultados indicam que não houve diferenças significativas (p>0,05) nos testes de aptidão física entre fases do CM. Concluímos que as diferentes fases do CM não influenciam o desempenho de componentes da aptidão física, seja em aspectos neuromusculares ou na potência aeróbia.
Improving Complementarity Effect of Legume Intercrop by Earthworm Facilitation for Wheat Performance
Authors: Drut Baptiste , Cassagne Nathalie , Cannavacciuolo Mario , Floch Gaëtan Le , Cobo-Díaz José F. , Fustec Joëlle
Published: November 2018

Intercrops and crop mixtures are considered to be a way to increase nitrogen use efficiency by promoting niche complementarity and facilitation, reducing the input of fertilizers and herbicides, which are important factors when considering the effects of climate change. However, interactions between crop communities and soil functional diversity also have major effects on crop cover function. Our study aimed to investigate the simultaneous effects of plant composition and presence of earthworms on the growth (roots and shoots) of wheat (Triticum aestivum L.). Mesocosms filled with soil were sown with either 6 wheat plants of the same cultivar, or 6 plants of 3 different wheat cultivars, or 3 wheat plants of 3 different cultivars with 3 clover plants (Trifolium hybridum L.). A part of the mesocosms was inoculated with either endogeic earthworms (Aporrectodea caliginosa S.) or a mixture of endogeic and anecic earthworms (Lumbricus terrestris S.). A relative interaction index was calculated to highlight competition strength between plants with or without earthworms. The presence of different cultivars had no influence on wheat performance, but with clover, plant competition decreased to the benefit of wheat biomass and N accumulation. Earthworms also reduced the competitive strength between wheat plants in mixed-cultivar mesocosms and in intercropping. In intercrops with clover, wheat performance was improved as a result of niche complementarity and earthworm facilitation for N resource. Our results suggest that the plant functional group, such as legumes, and earthworm communities work synergistically to improve wheat yields.
Estimation of Water Retention Curve for Soils of Bahia, Brazil, Based on Soil Particle-Size Analysis
Authors: Silveira Felipe Gomes Frederico da , Souza Luciano da Silva , Souza Laércio Duarte , Naime João de Mendonça , Pedro Vaz Carlos Manoel
Published: November 2018

Soil water retention curve (SWRC) is an important soil attribute because it is a soil quality indicator and is fundamental to study water dynamics in the soil-plant-atmosphere system. Since the conventional SWRC determination is laborious and time-consuming, making it difficult to process a large volume of samples, pedotransfer functions have been used to estimate it by using other soil physical attributes easily determined. Thus, this study aimed to apply Arya-Paris model to SWRC estimation for soils of Bahia state, Brazil, based on soil particle-size analysis, and to compare estimated and determined data of SWRC. Samples were collected from horizons A and AB and/or B and/or C, for a total of 15 soils and 62 horizons. Particle-size was determined by automatic soil particle-size analyzer (PSA) based on g-ray attenuation and traditional Bouyoucos’ hydrometer (BH) method. Arya-Paris model showed better SWRC predictions for sandy soils, followed by clayey, loamy, and very clayey soils. Good model performance was observed for all soils together. The α 1 scaling factor provided better predictions, followed by α 3, and α 2 showed unsatisfactory behavior. BH method, using only 7 soil particle-size fractions, gave slightly higher predictions than PSA using 30 soil particle-size fractions.
Phytotonic Effect of Fungicide Mixtures Applied at Different Periods in Sweet Corn
Authors: Costa Estevam M. , Ventura Matheus V. A. , Nunes Bruno M. , Mortate Roberto K. , Nomura Mirian , Chagas Jaíza F. R. , Arantes Bruno H. T. , Bessa Marcio M. , Moraes Victor H. , Silva Rafael M. da , Lima Alessandra P. A. , Oliveira Marcia R.
Published: November 2018

The fungicides belonging to the chemical groups of strobilurins and triazoles have their contribution to increase the productivity of the crop by a phytotoxic effect. The objective of this study was to evaluate the effects of fungicides at different times on the quality and quality of the spikes. The experiment was conducted at the Universidade do Estado de Minas Gerais and the experimental design was in randomized blocks, with 4 replicates, factorial factorial 3 × 3 + 1, the first factor being composed of 3 combinations of fungicides and the 2 applications (49, 56 and 63 days after sowing-DAS) + 1 witness. The lot was composed of 4 rows spaced 0.45 m and the harvest was done manually at 83 DAS. The height of the plant, the height and the diameter of the glue in the first ear, total mass of ears with and without straw, grain mass per ear, length and diameter of the ears and productivity were evaluated. The data were analyzed by variance and as means compared by the Tukey test. The height of a plant was significantly affected throughout its life in the treatments at 63 days. The series were concentrated by the treatments are a non-spike mass, grain mass per spike and productivity, and pressure levels were loaded when they were performed at 63 DAS.
Selection of Elephant-Grass Genotypes for Forage Production
Authors: Schneider Larissa S. A. , Daher Rogério F. , Menezes Bruna R. S. , Freitas Rafael S. , Sousa Liliane B. , Silva Verônica B. , Furlani Eduardo P. , Vidal Ana K. F.
Published: November 2018

The objective of this study was to evaluate the agronomic traits of 80 accessions of elephant grass under the soil and weather conditions of Campos dos Goytacazes/RJ, Brazil. The experimental design was set as randomized blocks with 2 replicates. The experiment continued from March 2012 to May 2013, with 5 harvests made in the dry and rainy seasons. The following traits were assessed: percentage of dry matter (%DM), dry matter yield (DMY), number of tillers per meter (NT), plant height (HGT), stem diameter (SD), leaf blade width (LBW) and leaf blade length (LBL). Data from each harvest were subjected to analysis of variance and to the Scott-Knott test (P < 0.05). Tocher’s optimization method, Mahalanobis distance, and canonical variables were utilized for the multiple traits, and the importance of the characters in the canonical variables. Genotypes with high yield were Elefante da Colômbia, Taiwan A-25, Albano, Hib. Gigante da Colômbia, Elefante de Pinda, Taiwan A-121, P241 Piracicaba, Guaçu/I.Z.2, CPAC, EMPASC 309, EMPASC 307, Australiano, and Pasto Panamá. Stem diameter (rainy season) and LBW (dry season) were the most important variables to differentiate between genotypes. There was wide phenotypic variation between genotypes, which could be divided into 15 groups by Tocher’s optimization method.
Nonlinear Models for Plant Height of Rye Cultivars at Sowing Times
Authors: Kleinpaul Jéssica Andiara , Filho Alberto Cargnelutti , Silveira Daniela Lixinski , Neu Ismael Mario Marcio , Bandeira Cirineu Tolfo , Procedi Andréia
Published: November 2018

Adjusting nonlinear Gompertz and Logistic models will help in the understanding of the growth pattern of the rye crop and also in the height response of the plant, when planted in different environmental conditions. The the aims of this study were to adjust the nonlinear Gompertz and Logistic models for plant height and indicate the one that best describes growth of two rye cultivars in five sowing times. Ten uniformity trials were conducted with the rye crop in the 2016 harvest. In each trial, ten randomly selected plants were evaluated from the first expanded leaf weekly. In each plant height was measured. The adjustment of the Gompertz and Logistic models as a function of the accumulated thermal sum was performed with the average plant height at each evaluation. The parameters a, b, and c were estimated for each model. The confidence interval for each parameter and the inflection points, maximum acceleration, maximum deceleration and asymptotic deceleration were calculated. The quality of fit of the models was verified by the coefficient of determination, Akaike's information criterion and residual standard deviation. Intrinsic non-linearity and non-linearity of the parameter effect were quantified. Both models describe satisfactorily the plant height. The model that best describes the growth of rye cultivars is Logistic.
Genetics of Resistance in F2 Soybean Populations for Adzuki Bean Bruchid (Callosobruchus chinensis)
Authors: Msiska Ulemu Mercy , Hailay Mehari Gebremedhn , Miesho Belay Weldekidan , Ibanda Angele Pembele , Tukamuhabwa Phinehas , Kyamanywa Samuel , Odong Thomas Lapaka , Rubaihayo Patrick
Published: November 2018

Adzuki bean bruchid (Callosobruchus chinensis) is a significant pest of soybean in Uganda. To sustainably manage this pest, utilization of resistant soybean varieties is the key solution. Development of resistant varieties needs knowledge on modes of inheritance which is crucial in selection of parent materials. To identify parents, a study was initiated to determine the gene action and mode of inheritance of resistance to bruchids in soybean. Nine parental lines were crossed in a full-diallel at Makerere University Agricultural Institute, Uganda. The generated F1s were advanced to F2 and seeds were evaluated for response to bruchid infestation in a randomised complete block design. Ten seeds were infested with 10 randomly selected unsexed 1-3 day old bruchids. Genotypes showed significant differences in seed weight loss (swl), adult bruchid emergence (ABE) and Dobie susceptibility index (DSI) indicating that these parameters could be used to screen genotypes in genetic analysis. Mean squares of general combining ability (GCA) were significant (P < 0.05) for swl, DSI and number of ABE from the F2 seeds indicating additive gene action. Susceptibility parameters ABE and DSI showed significant specific combining ability (SCA) indicating non-additive gene action. Resistance was influenced by maternal effects indicating that direction of the cross was important. Genotypes S-Line 9.2 and S-Line 13.2A showed negative significant GCA effects for at least two of the susceptibility parameters indicating that they were the best parents for bruchid resistance breeding. The study established that additive, non additive and maternal effects governed the gene expression in soybean resistance to bruchids.
Selectivity of Insecticides Against Telenomus podisi Ashmead (Hymenoptera: Platygastridae) on Corn
Authors: Feltrin-Campos Elidiane , Fernandes Marcos Gino , Masson Gabrielle de Lima , Corrêa Thaís Araujo , Grigolli José Fernando Jurca
Published: November 2018

Use of synthetic insecticides remains main control strategy for percevejo-marrom (Euschistus heros) in corn. However, indiscriminate use of these products can have adverse effects on the environment and human health. Thus, incorporation of bio-agents like Telenomus podisi a preferred option in corn pest management. Study was conductedto evaluate the effects of insecticides application on T. podisi mortality rates, the number of eggs parasitized by the F0 generation, and number of emergent F1 parasitoids. The insecticides tested were: imidacloprid+bifenthrin, bifenthrin+carbosulfan, thiametoxam+lambda-cyhalothrin, acephate, bifenthrin, and imidacloprid at the highest concentrations indicated for corn. Each insecticide was classified according to its selectivity, based on the methodology proposed by IOBC/WPRS. Only imidacloprid did not affect parasitoid survival however the parasitism rates of F0 females, were affected, classifying this product as slightly harmful for this biological trait. Regarding parasitoid emergence (F1), thiametoxam+lambda-cyhalothrin was classified as moderately harmful, while bifenthrin+carbosulfan and bifenthrin were considered harmful, no parasitism occurred. Thus the evaluated insecticides were classified as slightly harmful to the parasitoid T. podisi under laboratory conditions for the biological characteristics evaluated. Further studies under semi-field and field conditions are needed in order to confirm these toxicity levels on T. podisi.
First Record of Polyphagotarsonemus latus in Saudi Arabia
Authors: Al-Azzazy Mahmoud M. , Alhewairini Saleh S.
Published: November 2018

Several species of vegetables and fruits are attacked by many Tarsonemid mites. This includes the broad mite, Polyphagotarsonemus latus Banks (Acari: Tarsonemidae). P. latus is widely distributed world-wide and has more than 60 host plants. In this study, it has been reported on peppers, Capsicum annuum L. (Solanaceae), for the first time in Saudi Arabia. This is the second record of P. latus from the Arabian Peninsula, after Oman. The mite population was recorded 6 times at 15 day intervals from September to the end of November on six leaves per plant, two each from the top level, middle level and bottom level selected at random. Therefore, more successvie research studies are needed for maganement and control of this pest.
Cordia oncocalyx (Allemão) Baill. (Boraginaceae) Chemical Composition and Alelopathic Effect Against Weeds
Authors: Silva Danúbio Lopes da , Santos Marcos Aurélio Figueiredo dos , Bezerra Jose Weverton Almeida , Leandro Cícero dos Santos , Rodrigues Maria Daniele Pereira , Silva Ana Karolina Fernandes , Oliveira Arycelle Alves de , Campos Natália Barbosa , Pereira Kyhara Soares , Bezerra Janete de Souza , Boligon Aline Augusti , Silva Maria Arlene Pessoa da
Published: November 2018

Through secondary metabolism, plants produce chemical compounds which when released into the environment can have effects on other species, such effect is called allelopathy. In this research we evaluated the Cordia oncocalyx (Boraginaceae) allelopathic potential against two weed species, Cenchrus echinatus and Calotropis procera, as well as quantified its phenolic compounds using HPLC-DAD. The experimental design was completely randomized with six treatments and one control group (distilled water). Each treatment consisted of four replicates with 25 seeds each, totaling 100 seeds per treatment. The variables analyzed were: germinating potential, germination velocity and seedling development. The hot and cold infusion extracts were prepared with 50 g of each of the three parts of the donor plant (bark, leaves and roots) immersed in 500 ml of distilled water at 100 °C (hot infusion) and 25 °C (cold infusion). The experiments were mounted in Petri dishes having substrate filter paper embedded in 3 mL of the extracts (treatments) and conducted in a germination chamber. Hot and cold infusion extracts of the C. oncocalyx leaves, barks and roots presented allelopathic activity on C. echinatus and C. procera germination and development, with the hot bark extract promoting such effect with a greater intensity. The allelopathic effect observed may be due to the presence of allelochemicals such as caffeic acid, quercentin and kaempferol present in C. oncocalyx leaves, barks and roots.