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Relevant bibliographies by topics / Risky mountain trail detection

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Journal articles

Academic literature on the topic 'Risky mountain trail detection'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Risky mountain trail detection"

1

Mohd Sidi, M. Adli, Muhammad Syakir Sulaiman, Omar Firdaus Mohd Said, and Nik Jazwiri Johannis. "Case Study Perception: Lack of Energy For New Hikers at Gunung Ledang, Taman Negara Johor." ATTARBAWIY: Malaysian Online Journal of Education 4, no. 2 (2020): 135–39. http://dx.doi.org/10.53840/attarbawiy.v4i2.49.

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This research conducted to identify the perception of lack of energy towards the new hikers at Gunung Ledang, Johor National Park. The data collected using qualitative method via semi structured interviews towards the 3 certified hiking guides that delivering their guiding services to the top hill of the Gunung Ledang. 3 certified guides as the main source of data in this data collection process. Findings shown that the instant energy foods are very important in supplying the energy after energy highly used in the hiking activity at the challenging and risky areas of the hiking trail. Therefor

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Maciuk, Kamil, Michał Apollo, Joanna Mostowska, et al. "Altitude on Cartographic Materials and Its Correction According to New Measurement Techniques." Remote Sensing 13, no. 3 (2021): 444. http://dx.doi.org/10.3390/rs13030444.

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Determining the correct height of mountain peaks is vital for tourism, but it is also important as a reference point for devices equipped with GPS (Global Positioning System), e.g., watches or car navigation systems. The peak altitude data are part of geographic and geodetic information. As more modern technologies and equipment become available, their precisions should increase. However, verification of peak heights is usually only conducted for the highest, well-known mountains—lower peaks or mountain passes are rarely verified. Therefore, this study focuses on an investigation of 12 altitud

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3

Santoso, Budi, and Wahyono Restanto. "Monitoring Macan Tutul Jawa (Panthera pardus melas Cuvier, 1809) dengan Kamera Trap di Cagar Alam Nusakambangan Timur Kabupaten Cilacap, Provinsi Jawa Tengah." Al-Hayat: Journal of Biology and Applied Biology 4, no. 1 (2021): 1–10. http://dx.doi.org/10.21580/ah.v4i1.7923.

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Monitoring of the existence of the Javan Leopard (Panthera pardus melas) in the Nusakambangan Timur Nature Reserve, Cilacap Regency, has been carried out in July-November 2020. Monitoring is carried out using the method of collecting signs of animal presence and installing camera traps. Photos / videos caught on camera traps are counted on the encounter rate. The monitoring results obtained 97 videos which were divided into 6 videos of P.p. melas, 15 videos of wild boar (Sus scrofa), 1 video of mouse deer (Tragulus javanicus), 2 videos of mountain squirrels (Tupaia montana), 1 video of mice (A

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Olawale, Habeeb Olatunji, Adegbola Oluwole Ogedengbe, Maxwell Nana Ameyaw, Temitayo Oluwaseun Jejeniwa, and Solomon Christopher Friday. "Standardizing Compliance Practices across AML, ESG, and Transaction Monitoring for Financial Institutions." Journal of Frontiers in Multidisciplinary Research 5, no. 2 (2024): 75–93. https://doi.org/10.54660/.jfmr.2024.5.2.75-93.

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In today’s complex regulatory landscape, financial institutions face mounting pressure to standardize compliance practices across Anti-Money Laundering (AML), Environmental, Social, and Governance (ESG), and transaction monitoring frameworks. Fragmented compliance efforts often lead to operational inefficiencies, regulatory breaches, and reputational damage. This study proposes an integrated compliance standardization framework that unifies AML, ESG, and transaction monitoring through data-driven governance, cross-functional controls, and risk-based alignment. The goal is to develop a cohesive

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5

Kim, Min-Kook, John J. Daigle, and Andrew Gooding. "Vegetation Cover Change Detection by Satellite Imagery on Cadillac Mountain, Acadia National Park, Maine, USA: Does it Have Potential for Hiking Trail Management?" Natural Areas Journal 34, no. 3 (2014): 282–89. http://dx.doi.org/10.3375/043.034.0304.

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Reid, Brett M., and Brooke L. Fridley. "DNA Methylation in Ovarian Cancer Susceptibility." Cancers 13, no. 1 (2020): 108. http://dx.doi.org/10.3390/cancers13010108.

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Epigenetic alterations are somatically acquired over the lifetime and during neoplastic transformation but may also be inherited as widespread ‘constitutional’ alterations in normal tissues that can cause cancer predisposition. Epithelial ovarian cancer (EOC) has an established genetic susceptibility and mounting epidemiological evidence demonstrates that DNA methylation (DNAm) intermediates as well as independently contributes to risk. Targeted studies of known EOC susceptibility genes (CSGs) indicate rare, constitutional BRCA1 promoter methylation increases familial and sporadic EOC risk. Bl

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Smit, Josephine, Rocío A. Pozo, Jeremy J. Cusack, Katarzyna Nowak, and Trevor Jones. "Using camera traps to study the age–sex structure and behaviour of crop-using elephants Loxodonta africana in Udzungwa Mountains National Park, Tanzania." Oryx 53, no. 2 (2017): 368–76. http://dx.doi.org/10.1017/s0030605317000345.

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AbstractCrop losses to foraging elephants are one of the primary obstacles to the coexistence of elephants and people. Understanding whether some individuals in a population are more likely to forage on crops, and the temporal patterns of elephant visits to farms, is key to mitigating the negative impacts of elephants on farmers’ livelihoods. We used camera traps to study the crop foraging behaviour of African elephants Loxodonta africana in farmland adjacent to the Udzungwa Mountains National Park in southern Tanzania during October 2010–August 2014. Camera traps placed on elephant trails int

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Bötsch, Yves, Zulima Tablado, Daniel Scherl, Marc Kéry, Roland F. Graf, and Lukas Jenni. "Effect of Recreational Trails on Forest Birds: Human Presence Matters." Frontiers in Ecology and Evolution 6 (November 12, 2018): 175. https://doi.org/10.5281/zenodo.5376964.

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<strong>Abstract</strong> Outdoor recreational activities are increasing worldwide and occur at high frequency especially close to cities. Forests are a natural environment often used for such activities as jogging, hiking, dog walking, mountain biking, or horse riding. The mere presence of people in forests can disturb wildlife, which may perceive humans as potential predators. Many of these activities rely on trails, which intersect an otherwise contiguous habitat and hence impact wildlife habitat. The aim of this study was to separate the effect of the change in vegetation and habitat struc

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Yang, Xingcheng, Xiaoying Zhang, Juan Peng, et al. "Soluble PD-L1 Predicts Poor Outcome and Disease Progression in Patients with De Novo Myelodysplastic Syndromes." Blood 142, Supplement 1 (2023): 6448. http://dx.doi.org/10.1182/blood-2023-190744.

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Background: Myelodysplastic syndromes (MDS) consist of a spectrum of myeloid malignancies typified by regular genetic abnormalities, clonal hematopoiesis, dysfunctional myelopoiesis, inefficient blood cell production, peripheral-blood cytopenia, and an elevated risk for progressing to acute myeloid leukemia (AML). Mounting evidence suggests that the dysregulation of immune checkpoints (ICs) plays critical roles in immune evasion of MDS, which thus led to a series of trials using HMAs in combination with immune checkpoints inhibitors (ICIs). Of these, programmed cell death-1 (PD-1)/programmed c

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Keunseo, Kim, Zabihi Hengameh, Kim Heeyoung, and Lee Uichin. "TrailSense: A Crowdsensing System for Detecting Risky Mountain Trail Segments with Walking Pattern Analysis." September 1, 2017. https://doi.org/10.5281/zenodo.826818.

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We provide mountaineer's motion data to various mountain trail surface conditions. Mountain trail surface conditions classified into risky and non-risky segments based on the slope and height of the rock surface. Motion data was collected using the smartphone's built-in sensor. We perform two experiments to collect data. In the first experiment, data collected along the trail are alternating between the risky and non-risky segments. In the second experiment, we collected the data that is collected separately from where there are only risky segments and non-risky segments exist. In first experi

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