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  1. 1461

    WHY THE ECONOMICS OF GROUNDNUT PROCESSING IN AKWANGA LOCAL GOVERNMENT AREA, NASARAWA STATE, NIGERIA by Abdulahmeed A. GIREI, Saleh I. AUDU, Enai G. ONUK, Zainab M. ISMAIL

    Published 2016-01-01
    “…Despite Nigeria's plentiful agricultural resources and oil wealth, poverty is widespread in the Country and has increase since the late 1990's, neglect of rural infrastructure affects the profitability of agricultural production. The lack of roads impedes the marketing of agricultural communities prevents farmers from selling their produce at reasonable price and leads to spoilage. …”
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  2. 1462
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    Relative abundance, activity pattern and habitat suitability of Great Argus (Argusianus argus grayi) in Sungai Wain Protected Forest, Balikpapan, East Kalimantan by Hanny Ramadhanti, Dyah Perwitasari-Farajallah, Yeni Aryati Mulyani, Puji Rianti

    Published 2025-01-01
    “…The habitat suitability prediction for the Great Argus was mostly in primary forests. Distance to road and building were the variables that contributed the most to the results of habitat suitability modeling. …”
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    Time-Series Forecasting for Peak Hour Traffic Accidents by Md. Ferdousul Haque Shikder, Yili Tang, Majid Emami Javanmard

    Published 2025-01-01
    “…The results provide references and practical insights into the potential of leveraging advanced algorithms and techniques to tackle the dynamics of traffic accidents and improve road safety.…”
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    Article
  8. 1468

    Socio‑Economic Determinants of Construction Sector Development by Florian Gerth, Martin O’Brien, Karol S. Sikora

    Published 2025-07-01
    “…This aspect is crucial, as different industries responded variably to the shock and lock-down caused by Covid-19.…”
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    Article
  9. 1469

    Spatiotemporal dynamics and associated drivers of COVID-19 incidence in Nepal by Bipin Kumar Acharya, Shristi Sharma, Laxman Khanal, Pramod Joshi, Meghnath Dhimal

    Published 2025-08-01
    “…GeoDetector analysis identified the key drivers, including road density (q = 0.59, p < 0.001), ICU bed distribution (q = 0.51, p < 0.001), and population density (q = 0.46, p < 0.001). …”
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  10. 1470

    Comparative Analysis of Novice, Moderately Experienced, and Highly Experienced Iranian EFL Teachers’ Self-Efficacy Focusing on Their Cognition, Metacognition, Affection, and Behavi... by Maryam Azizi, Hossein Heidari Tabrizi, Ahmadreza Lotfi

    Published 2023-01-01
    “…The findings may provide new insights into the ways of setting English teachers of various experiential backgrounds on the road to optimum efficacy.…”
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    Article
  11. 1471

    The Effect of Educational Intervention Based on PRECEDE-PROCEED Model on Promoting Traffic Safety Behaviors in Primary Schools Students of Tabriz in 2014 by Saeed Omidi, Rabiollah Farmanbar, Sima Mokhtarpour*

    Published 2016-03-01
    “…Background and Objectives: Pedestrian injuries are a public health problem and one of the major victims of road traffic injuries are children. Education is one of the most important strategies to solve traffic problems. …”
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    Article
  12. 1472
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    Analysis of driver's car-following intention based on extended planning behavior theory by LI Xia, GUO Mengting, ZHANG Xiaoming, CHUO Eryong, ZHOU Wei

    Published 2023-01-01
    “…Road traffic flow will show the phenomenon of mixed driving of autonomous vehicles and traditional vehicles in the future. …”
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    Article
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    Soil moisture retention and mass movement of volcanic soils from the “Sabinas” sector in Caldas, Colombia by William Chavarriaga Montoya, Josè Gabriel Cruz Cerón, Johan Cuervo Correa

    Published 2017-10-01
    “…This research was carried out on soils of the Malteria - Las Margaritas road transept to Magdalena river, right bank of the Chinchiná river in the Department of Caldas, Colombia. …”
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  16. 1476

    The 2017 Land Use/Land Cover Map of Catalonia based on Sentinel-2 images and auxiliary data by O. González-Guerrero, X. Pons

    Published 2020-06-01
    “…The categories related to urbanized areas (urban areas, urbanizations and industrial zones/ commercial areas), road infrastructures and burned areas were edited using official cartographic datasets of the Catalan Government [Generalitat]. …”
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