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Journal articles on the topic 'Remote area'

To see the other types of publications on this topic, follow the link: Remote area.

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Fisher, Jacklin, Julie Bradshaw, Beth Anne Currie, Jeanette Klotz, Patricia Robins, Kerry Reid Serle, and Janie Smith. "VIOLENCE AND REMOTE AREA NURSING." Australian Journal of Rural Health 4, no. 3 (August 1996): 190–99. http://dx.doi.org/10.1111/j.1440-1584.1996.tb00208.x.

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2

Paltridge, Sam. "Aussat and Remote Area Television." Media Information Australia 58, no. 1 (November 1990): 136–46. http://dx.doi.org/10.1177/1329878x9005800122.

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3

Opie, Tessa, Maureen Dollard, Sue Lenthall, and Sabina Knight. "Occupational Stress in Remote Area Nursing: Development of the Remote Area Nursing Stress Scale (RANSS)." Journal of Nursing Measurement 21, no. 2 (2013): 246–63. http://dx.doi.org/10.1891/1061-3749.21.2.246.

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Background and Purpose: The purpose of this study was to develop a measure that would adequately and sensitively measure the occupational stress experience of nurses working in very remote health care facilities. Because no existing nursing stress tool is suitable to assess the unique stressors of remote nursing practice, the aim was to address this gap in psychometric measurement capacity and develop the Remote Area Nursing Stress Scale (RANSS). Method: A focus group (n = 19) of remote area nurses identified potential questionnaire items through open discussion and by later listing the stressors they experienced individually in their day-to-day functioning. Subsequently, the Delphi method was employed to further refine the questionnaire (n = 12 experts). The RANSS was successfully pilot tested and was afterward administered to nurses working in very remote Australia in 2008 (n = 349) and in 2010 (n = 433). Results: Principal components analysis and confirmatory factor analysis were performed for both waves of survey administration, demonstrating a robust 7-factor structure consistent across samples and accounting for significant variance in dependent measures. Conclusion: The development and validation of the RANSS is a significant advancement in remote area nursing research. The RANSS should be administered on an ongoing basis to monitor occupational stress among nurses working in very remote Australia. The RANSS should also be administered internationally in countries that also accommodate remote health care facilities. This would determine whether the RANSS is a psychometrically valid stress measure beyond the context of very remote Australia.

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4

Frazier, Bruce E., Toby M. Rodgers, Crystal A. Briggs, and Richard A. Rupp. "Remote Area Soil Proxy Modeling Technique." Soil Horizons 50, no. 2 (2009): 62. http://dx.doi.org/10.2136/sh2009.2.0062.

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5

Balfour, Jacqueline, and David Hutchison. "Remote debugging over local area networks." Software & Microsystems 4, no. 4 (1985): 95. http://dx.doi.org/10.1049/sm.1985.0023.

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6

Lee, Robert A. "Remote area monitoring for noise mitigation." Journal of the Acoustical Society of America 100, no. 4 (October 1996): 2649. http://dx.doi.org/10.1121/1.417818.

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7

Fisher, Jacklin, Julie Bradshaw, Beth Anne Currie, Jeanette Klotz, Kerry Reid Searl, and Janine Smith. "AUSTRALIA: REMOTE AREA NURSES'EXPERIENCES OF VIOLENCE." International Journal of Nursing Practice 1, no. 1 (November 1995): 67–70. http://dx.doi.org/10.1111/j.1440-172x.1995.tb00012.x.

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8

Raheja, J. L., Himani Gupta, and A. Chaudhary. "Monitoring Animal Diseases in Remote Area." Pattern Recognition and Image Analysis 28, no. 1 (January 2018): 133–41. http://dx.doi.org/10.1134/s1054661818010145.

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9

Williams, Eric W. "Remote Area Disaster Response in Australia." Prehospital and Disaster Medicine 17, S2 (December 2002): S16—S17. http://dx.doi.org/10.1017/s1049023x00009274.

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10

Van de Griend, A. A., and E. T. Engman. "Partial area hydrology and remote sensing." Journal of Hydrology 81, no. 3-4 (November 1985): 211–51. http://dx.doi.org/10.1016/0022-1694(85)90033-2.

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11

Hegney, Desley, Alexandra McCarthy, Cath Rogers-Clark, and Don Gorman. "Retaining Rural and Remote Area Nurses." JONA: The Journal of Nursing Administration 32, no. 3 (March 2002): 128–35. http://dx.doi.org/10.1097/00005110-200203000-00005.

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12

Casey, Tom. "Remote area exploration—challenges and solutions." APPEA Journal 54, no. 2 (2014): 495. http://dx.doi.org/10.1071/aj13068.

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In Australia, onshore oil and gas exploration is increasingly focusing on prospects in remote areas. While working in a remote area avoids many of the constraints and obstacles facing onshore development, it also presents a unique set of challenges such as logistics and mobilisation and the efficient delivery of required environmental surveys, cultural heritage management, and stakeholder and landholder engagement. The absence of integration between technical and subsurface-program planning and supporting functions such as approvals, native title and cultural heritage, and stakeholder engagement can substantially increase the risk of delays and cost overruns. Clear forward planning of short- and medium-term exploration activities can identify opportunities for cost savings and schedule efficiencies. Drawing examples from two unconventional oil and gas exploration programs in remote western Queensland, the extended abstract discusses some of the key challenges to working in a remote area including safety, the importance of early engagement with stakeholders and ways to manage some of the key risks to project schedules and delivery. Highlighting some of the innovative approaches to securing regulatory approval used by AMEC in securing approvals for seismic campaigns and drilling programs, the author examines the interaction between the subsurface program and the approvals required to allow subsurface activities to happen.

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13

Meher, Manas Ranjan. "Design and Analysis of Hybrid Microgrid for Remote Area in Odisha." Revista Gestão Inovação e Tecnologias 11, no. 3 (June 30, 2021): 146–55. http://dx.doi.org/10.47059/revistageintec.v11i3.1923.

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14

McDermid, Gregory J., Steven E. Franklin, and Ellsworth F. LeDrew. "Remote sensing for large-area habitat mapping." Progress in Physical Geography: Earth and Environment 29, no. 4 (December 2005): 449–74. http://dx.doi.org/10.1191/0309133305pp455ra.

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Remote sensing has long been identified as a technology capable of supporting the development of wildlife habitat maps over large areas. However, progress has been constrained by underdeveloped linkages between resource managers with extensive knowledge of ecology and remote sensing scientists with backgrounds in geography. This article attempts to traverse that gap by (i) clarifying the imprecise and commonly misunderstood concept of ‘habitat’, (ii) exploring the recent use of remote sensing in previous habitat-mapping exercises, (iii) reviewing the remote sensing toolset developed for extracting information from optical satellite imagery, and (iv) outlining a framework for linking ecological information needs with remote sensing techniques.

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15

Henderson, Isabel, Karen Vanlohuizen, and Ted Fenske. "Remote cardiac rehabilitation." Journal of Telemedicine and Telecare 6, no. 2_suppl (August 2000): 28–30. http://dx.doi.org/10.1258/1357633001935455.

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The implementation of a remote cardiac rehabilitation service to educate people about heart disease is currently under way in northern Alberta. Twenty per cent of patients in the catchment area live in remote areas outside the regional centre and are faced with the usual difficulties of attending urban health-care programmes. The availability of the remote cardiac rehabilitation service enables patients to receive the same rehabilitation benefits as their urban counterparts.

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16

Xu, Aimei. "Remote Monitoring System of Geological Exploration in Lava Area Based on GPS." Earth Sciences Research Journal 24, no. 2 (April 1, 2020): 207–14. http://dx.doi.org/10.15446/esrj.v24n2.87956.

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A remote monitoring system for geological exploration in a lava area based on GPS is designed. The system mainly collects geological exploration data in a lava area by means of multi-S integration through the data acquisition module of geological exploration in a lava area. Then the data collected are transmitted to the data analysis and management module of geological exploration data in a lava area by using a GPS network, and the data analysis and management module of geological exploration data in the lava area is exploited. The monitoring data processing method based on the unascertained filtering method is used to remove gross errors in geological exploration data of lava area, identify abnormal values in geological exploration data of lava area, and transmit the abnormal values to the GPS-based geological anomaly location module. The GPS-based geological anomaly location module locates the geological anomaly according to the abnormal values, thus completing the remote monitoring of the exploration of the lava area based on GPS. The test results show that when the system is applied to remote monitoring of geological exploration in a lava area, the positioning error of small soil caves is small, and the reliability of monitoring data is high, which meets the needs of remote monitoring of geological exploration in a lava area.

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17

Amelia, Rini, and Tia Nur Istianah. "Teaching strategies: How do teachers in remote area survive during remote learning?" ELT Forum: Journal of English Language Teaching 10, no. 2 (July 28, 2021): 146–53. http://dx.doi.org/10.15294/elt.v10i2.47856.

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During the pandemic of COVID-19, remote learning has been very highlighted. This environment creates huge challenges especially to those teaching in remote areas. Drawing on them, this descriptive qualitative study aims to explore teaching strategies applied there. In collecting the data, interviews and questionnaires were given to two English teachers of a Junior High School in Aranio, Banjar Regency. The results show that they have to face some challenges such as the limitedness of internet access and low motivated students when implementing remote learning. Due to this condition, they need to survive by making some efforts such as creating and using interesting teaching modules, coordinating with the related parties, carrying out blended learning, conducting home visit and setting up offline classes because of no possibility for online learning. Through this study, other teachers are kindly informed on the applicable teaching strategies to create effective remote learning experiences in remote areas.

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18

Running, S. W., D. L. Peterson, M. A. Spanner, and K. B. Teuber. "Remote Sensing of Coniferous Forest Leaf Area." Ecology 67, no. 1 (February 1986): 273–76. http://dx.doi.org/10.2307/1938532.

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19

Peachey, Louis G., and Kristin E. McBain‐Rigg. "The challenges of remote area medical education." Medical Journal of Australia 194, no. 10 (May 2011): 495–96. http://dx.doi.org/10.5694/j.1326-5377.2011.tb03078.x.

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20

Johnson, Lee, and Thibaut Scholasch. "Remote Sensing of Shaded Area in Vineyards." HortTechnology 15, no. 4 (January 2005): 859–63. http://dx.doi.org/10.21273/horttech.15.4.0859.

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Airborne multispectral image data were compared with intercepted photosynthetic photon flux (PPF) in commercial winegrape (Vitis vinifera) vineyards of Napa Valley, Calif. An empirically based calibration was applied to transform raw image pixel values to surface reflectance. Reflectance data from the red and near-infrared spectral regions were combined into a normalized difference vegetation index. Strong linear response was observed between the vegetation index and PPF interception ranging from 0.15 to 0.50. Study results suggest the possibility of using optical remote sensing to monitor and map vineyard shaded area, thus providing spatially explicit input to water budget models that invoke evapotranspiration crop coefficient based calculations.

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21

Gallego, F. J. "Remote sensing and land cover area estimation." International Journal of Remote Sensing 25, no. 15 (August 2004): 3019–47. http://dx.doi.org/10.1080/01431160310001619607.

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22

Chung, Wan-Young, and Jae-Ho Yoo. "Remote water quality monitoring in wide area." Sensors and Actuators B: Chemical 217 (October 2015): 51–57. http://dx.doi.org/10.1016/j.snb.2015.01.072.

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23

Presnell, Keith. "Exporting Australia’s remote area power supply industry." Renewable Energy 22, no. 1-3 (January 2001): 353–60. http://dx.doi.org/10.1016/s0960-1481(00)00053-7.

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24

Dowd, Toni, and Sally Johnson. "Remote area nurses – on the cutting edge." Collegian 2, no. 1 (January 1995): 36–40. http://dx.doi.org/10.1016/s1322-7696(08)60085-2.

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25

Lenthall, Sue, Sabina Knight, Sally Foxley, Vicki Gordon, Terrie Ivanhoe, and Robyn Aitken. "The remote area nurse model of consultation." International Journal of Advanced Nursing Studies 4, no. 2 (September 28, 2015): 149. http://dx.doi.org/10.14419/ijans.v4i2.4963.

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<p>Registered nurses working in remote areas of Australia are often called remote area nurses (RANs). RANs have traditionally used models of client consultation designed for acute presentations and episodes of care. However, presentations to health care facilities in remote Australia are more likely to be chronic, complex, multi-system and multifactorial in origin and subsequent management. This paper describes a consultation model developed from a combination of expert opinion, literature and trial and feedback from RANs. The model is comprehensive, systematic and puts the person at the centre of care. It aims to mitigate risk for the client; the RAN and the health service while at the same time building trust and health literacy between the client and the RAN to encourage the client to continue with the partnership in care.</p>

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26

Moorhouse, Chris, and Chris Wilson. "Learning together for remote area health care." Australian Journal of Rural Health 12, no. 5 (October 2004): 223. http://dx.doi.org/10.1111/j.1440-1854.2004.00610.x.

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27

Niu, X., and Y. Li. "REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 733–37. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-733-2020.

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Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to 2019 and then grew slowly from 2009 to 2019. The eco-environmental quality of Anqing city dropped slightly from 1999 to 2019, and the regions with worse quality grades exceeded those becoming better. Particularly, we find that from 1999 to 2009, the area where the ecological quality became better made up 18.31% of the urban area, while the worse ecological area accounted for 29.68% of the urban area; from 2009 to 2019, the area of improved ecological environment reached 24.35%, while the area of degraded quality constituted 41.36%. Land-use changes dominated eco-environmental quality. The areas of poor eco-environmental quality expanded in residential regions and eco-environmental quality of mountainous area improved since returning cultivated land in steep hills into forest. The RSEI results are expected to provide a quantitative foundation for planning sustainable development and the rational use of resources in Anqing city.

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28

Pradhan, Sushil. "Crop area estimation using GIS, remote sensing and area frame sampling." International Journal of Applied Earth Observation and Geoinformation 3, no. 1 (January 2001): 86–92. http://dx.doi.org/10.1016/s0303-2434(01)85025-x.

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29

Doan, Van Dien, Ta Hsiu Tseng, and Pei Hwa Huang. "Wide Area Input Stabilizer for Damping of Power System Inter-Area Oscillation." Applied Mechanics and Materials 479-480 (December 2013): 530–34. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.530.

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The main objective of this paper is to report the small signal stability analysis of Vietnam Power System which has a longitudinal network structure with the consideration of power system stabilizer (PSS) in operation to enhance the damping of inter-area oscillation by using local as well as remote feedback signals via phasor measurement unit (PMU). Both methods of frequency domain and time domain analyses are used to investigate the performance of the power system. The study results show that by proper selection of PSS installation locations and remote feedback signals, power oscillations on the tie-line will be reduced and the system stability is thus improved.

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30

Naue, Carine Rosa, Marilia W. Marques, Nelson Bernardi Lima, and Josiclêda Domiciano Galvíncio. "Sensoriamento remoto como ferramenta aos estudos de doenças de plantas agrícolas: uma revisão (Remote Sensing as a Toll for the Study of Plant Diseases on Agriculture: a Revision)." Revista Brasileira de Geografia Física 3, no. 3 (February 21, 2011): 190. http://dx.doi.org/10.26848/rbgf.v3i3.232675.

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Para que estudos epidemiológicos e medidas de controle de doenças de plantas fossem realizados foi necessário o desenvolvimento de métodos de quantificação de doenças. As doenças podem ser avaliadas por métodos diretos ou indiretos e dentre os métodos diretos encontram-se a estimativa dos parâmetros de incidência e severidade e as técnicas de sensoriamento remoto. Em estudos de doenças de plantas, o sensoriamento remoto, além de ser utilizado para quantificação, também poderá servir para a detecção de plantas infectadas. A detecção de doenças de plantas ou até mesmo sua quantificação, através do sensoriamento remoto, baseia-se na radiação refletida das folhagens. As diferenças de reflectância podem ser obtidas pelo sensoriamento remoto multispectral, que tem sido utilizado de forma eficiente para controlar a incidência de um número de patógenos de plantas e atualmente por medidas hiperespectrais. O objetivo deste artigo é apresentar uma revisão sobre o uso do sensoriamento remoto na detecção e análise de doenças de plantas. Os estudos apresentados aqui mostram que o sensoriamento remoto é uma ferramenta que pode ser utilizada para detectar plantas doentes de forma rápida e eficiente em pequenas e grandes áreas geográficas. Além disso, pode detectar plantas infectadas, dispensar a coleta e o processamento de amostras em laboratório permitindo levantamentos precisos e confiáveis, em curto espaço de tempo, independente do tamanho da área em questão. Além disso, pode proporcionar diversos estudos na área de fitopatologia e afins.Palavras-chave: Sensoriamento remoto, doenças de plantas, hiperespectral Remote Sensing as a Toll for the Study of Plant Diseases on Agriculture: a Revision ABSTRACT For epidemiological studies and measures to control plant diseases were carried out was necessary to develop methods of quantifying disease. The diseases can be assessed by direct or indirect methods and among the direct methods are estimating the incidence and severity parameters and remote sensing techniques. In studies of plant diseases, remote sensing is used to quantify, can also serve for detection of infected plants. The detection of plant diseases or even to quantify, through remote sensing, based on reflected radiation from foliage. The differences in reflectance can be obtained by multispectral remote sensing, which has been used effectively to control incidence a number of plant pathogens and recently, hyperspectral measurements. The aim of this paper is present a review on use of remote sensing in detection and analysis of plant diseases. The studies presented here show that remote sensing is a tool that can be used to detect diseased plants quickly and efficiently in large and small geographic areas. Moreover, it can detect infected plant, waive the collection and processing of lab samples allowing accurate and reliable surveys in a short space of time, regardless of size of the area. In addition, several studies can provide in the area of plant pathology and related areas. Key-words: remote sensing, diseased plants, hyperspectral.

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31

Huang, Yanbo, Gary Feng, Haile Tewolde, and Mark W. Shankle. "Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi." Challenges 14, no. 1 (February 14, 2023): 12. http://dx.doi.org/10.3390/challe14010012.

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Remote sensing monitoring of crop growth began from airborne photography to assist in crop pest management and has evolved into monitoring from satellites, manned aircraft, unmanned aerial vehicles (UAVs), and ground-based systems for crop production process modeling, optimization, and control. In recent years, for crop growth remote sensing monitoring, apart from satellites, manned aircrafts, and ground-based systems, UAVs have been developed and widely used for low-altitude remote sensing of crop fields to uniquely provide a cost-effective, flexible tool for field crop growth remote sensing. Additionally, their data create a critical layer between all other remote sensing platforms. This paper overviews the use of remote sensing from difference sources, especially airborne remote sensing from manned aircraft and UAVs, to monitor crop growth in the area of the lower northern Mississippi from the Mississippi Delta to the Black Prairie, one of the most important agricultural areas in the U.S. In this paper, three sites typical in the area are demonstrated for remote sensing monitoring of crop growth, and the issues and challenges are identified and discussed for future opportunities to integrate remote sensing data from different sources to improve crop monitoring in this area and surrounding areas.

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32

Satria, Benni. "Best Digital Platforms in ELT during New Norms Era for Remote Area." Journal of Language, Literature, and English Teaching (JULIET) 2, no. 1 (April 6, 2021): 1–5. http://dx.doi.org/10.31629/jjumrah.v2i1.3143.

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The use of E- learning in English Language Teaching (ELT) has been strongly promoted since the pandemics Covid-19 is widely spread. Many researches have been conducted to find the best digital online learning to be used in the classroom. However, little to no research investigates about the most suitable digital online learning for the students living in the remote area whereas, especially in Indonesia, there were so many remote areas. Thus, this paper assists to describe the best digital platforms to be used in the remote Area. There were 15 ELT students involved as the participants. The chosen students were the students living in remote area. The instruments were a questionnaire. The result showed that Messenger Application, especially WhatsApp is the most preferred by the students living in the remote area, following by LMS represented by google classroom, and the last is video conference, particularly zoom. The finding of this research can become a consideration for the educators, especially teaching in remote area, in selecting the digital platform in online learning.

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33

Montaño, Vincent D., Noel B. Linsangan, and Noel D. Ramos. "ECG Signal Classification for Remote Area Patients Using Artificial Neural Networks in Smartphone." International Journal of Computer and Electrical Engineering 7, no. 3 (2015): 215–22. http://dx.doi.org/10.17706/ijcee.2015.7.3.215-222.

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34

KURNIA SARI, CENI FEBI. "APLIKASI PROGRAM ARC - SDM PADA PENGINDERAAN JAUH UNTUK PEMETAAN MINERAL EMAS." Jurnal Teknologi Informasi dan Pendidikan 13, no. 1 (May 6, 2020): 111–16. http://dx.doi.org/10.24036/tip.v13i1.304.

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The application of the Arc SDM program on remote sensing for gold minerals ini an area can be implemented by proving the compatibility of the result of the interpretation of satellite image with conditions in the study area. Remote sensing method is able to detect potential locations with mineral deposits occurrence that has certain characteristics that can affect a certain aspect of exploration activities, namely time efficiency. Remote sensing is an art and technique for obtaining information on an object, area or data analysis phenomenon acquired with a device without having to have direct contact with the object, area or phenomenon studied. In remote sensing, exploration activities play an important role in terms of isolating the potential of seed sediment based on remote sensing models. The use of remote sensing method can reduce exploration costs because it only focuses on detailed surface area of research that have more potential for the existence of minerals. By using this remote sensing method, we can determine specific area to explore, researching in detail in the shortest time possible. Mapping method for the mineralization geological exploration activities in the intended gold-bearing areas can utilize remote sensing data in the form of Landsat ETM satellite images. This method is expected to be able to produce accurate, valid and up-to-date data that makes it possible to create geological interpretation maps in a relatively short time (Rapid Mapping).

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35

Forgey, William W. "Wilderness First Aid: Managing Remote Area Medical Issues." Wilderness & Environmental Medicine 20, no. 2 (June 2009): 106. http://dx.doi.org/10.1580/08-weme-ed-269r.1.

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36

Yoshida, Chikao, and Yoshitaka Ishii. "Deepwater drilling operation support in a remote area." Journal of the Japanese Association for Petroleum Technology 66, no. 5 (2001): 500–509. http://dx.doi.org/10.3720/japt.66.500.

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37

Kakuta, Satomi, Takuji Mitani, Ryo Saito, Akihiro Nakazawa, Yoshio Awaya, Mitsuo Matsumoto, and Shuji Hori. "Methodology of Detecting ARD area by Remote Sensing." Journal of Forest Planning 13, no. 1 (2007): 29–42. http://dx.doi.org/10.20659/jfp.13.1_29.

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38

Palsson, Thorvaldur S., Victor Doménech‐García, Shellie S. Boudreau, and Thomas Graven‐Nielsen. "Pain referral area is reduced by remote pain." European Journal of Pain 25, no. 8 (June 3, 2021): 1804–14. http://dx.doi.org/10.1002/ejp.1792.

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39

Holmes, Viola F., and Ishan C. Williams. "Expanding Diabetes Education in an Internationally Remote Area." AADE in Practice 1, no. 4 (June 25, 2013): 20–24. http://dx.doi.org/10.1177/2325160313489666.

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40

Hao Shi, Liang Chen, Fu-kun Bi, He Chen, and Ying Yu. "Accurate Urban Area Detection in Remote Sensing Images." IEEE Geoscience and Remote Sensing Letters 12, no. 9 (September 2015): 1948–52. http://dx.doi.org/10.1109/lgrs.2015.2439696.

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41

McLaren, N. "Shrinking the Kimberley: Remote Area Psychiatry in Australia." Australian & New Zealand Journal of Psychiatry 29, no. 2 (June 1995): 199–206. http://dx.doi.org/10.1080/00048679509075911.

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The Kimberley, the northernmost region of Western Australia, is still largely an empty wilderness. About twice the size of Victoria, it has a permanent population of some 22,000. Since 1987, the Health Department of WA has provided a psychiatric service to the region, but the practice of psychiatry in such a vast and remote area has proven to be very different from that in larger centres. This paper summarises three years' clinical experience in the region.

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42

Huang, Weigen, and Bin Fu. "Remote Sensing for Coastal Area Management in China." Coastal Management 30, no. 3 (July 2002): 271–76. http://dx.doi.org/10.1080/08920750290042200.

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43

Ocampo, Amber C., Larry R. Squire, and Robert E. Clark. "Hippocampal area CA1 and remote memory in rats." Learning & Memory 24, no. 11 (October 16, 2017): 563–68. http://dx.doi.org/10.1101/lm.045781.117.

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44

Perenchio, M. T., M. Caldognetto, E. Makender, and S. Qasim. "Epilepsy in a Remote Area of Southern Sudan." Tropical Doctor 34, no. 4 (October 2004): 229–30. http://dx.doi.org/10.1177/004947550403400416.

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45

Williams, Eric. "Remote Area Mass Casualty Incident Response in Australia." Prehospital and Disaster Medicine 16, S1 (June 2001): S85. http://dx.doi.org/10.1017/s1049023x00036815.

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Heruela, C. S. "Affordable remote-area power supply in the Philippines." Journal of Power Sources 38, no. 1-2 (March 1992): 171–81. http://dx.doi.org/10.1016/0378-7753(92)80108-n.

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Ellis, Isabelle. "Remote area nurses: fitting into a new mould." Collegian 1, no. 1 (January 1994): 43. http://dx.doi.org/10.1016/s1322-7696(08)60581-8.

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Smith, Cathi. "“Yes, but what do remote area nurses do?”." Collegian 1, no. 1 (January 1994): 43. http://dx.doi.org/10.1016/s1322-7696(08)60582-x.

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Bashir, Sabah. "Remote Area Plant Disease Detection Using Image Processing." IOSR Journal of Electronics and Communication Engineering 2, no. 6 (2012): 31–34. http://dx.doi.org/10.9790/2834-0263134.

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Zocco, G., O. Goletti, P. V. Lippolis, L. Lorenzetti, B. Musco, E. Cavina, and K. Tsolakidis. "TIMTEM Project: Our Experience in a Remote Area." Telemedicine Journal and e-Health 9, no. 1 (March 2003): 117–21. http://dx.doi.org/10.1089/153056203763317747.

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