Gotowa bibliografia na temat „Risky mountain trail detection”

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. Therefore, it is important for the new hikers to bring the foods that provide the energy while participating in adventure recreation sport activities for better hiking experience and to prevent the lack of energy issue during enjoying the hiking activities at the challenging mountain.

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 altitude points on a section of the longest and most famous touristic trail in Poland (the Main Beskid Trail), located in the Orava–Żywiec Beskids Mts (Mountains). The aim of this research is to measure and verify the heights of the 12 selected mountain peaks, in addition to evaluating the chosen methods based on the quality of the obtained data and determining their suitability and opportunities for use in further research. Measurements were obtained at the most specific height points—on the 12 highest points of the summits. This study compares two modern measurement techniques: the global navigation satellite system (GNSS) and light detection and ranging (LiDAR). The obtained results were later compared with those widely used on the internet and in printed materials (period covered: 1884–2015). This analysis demonstrates that lesser-known objects are rarely the subject of remeasurement and significant altitude errors may occur, primarily because the heights originated from a source in the past when modern methods were not available. Our findings indicate that the heights of the peaks presented in cartographic materials are inaccurate. The assumed heights should be corrected by direct measurements using modern techniques.

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 (Apodemus sp.) 20 videos of human activities, and 47 videos of non detection. The result of the Encounter Rate calculation shows the result of P.p. melas 4.44 / 100 days; wild boar 11.85 / 100 days; Squirrels 1.48 / 100 days; rats and mouse deer 0.74 / 100 days, respectively. Meanwhile, for the trail of P.p. melas found 2 impurities.

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. Blood-based epigenome-wide association studies (EWAS) for EOC have detected a total of 2846 differentially methylated probes (DMPs) with 71 genes replicated across studies despite significant heterogeneity. While EWAS detect both symptomatic and etiologic DMPs, adjustments and analytic techniques may enrich risk associations, as evidenced by the detection of dysregulated methylation of BNC2—a known CSG identified by genome-wide associations studies (GWAS). Integrative genetic–epigenetic approaches have mapped methylation quantitative trait loci (meQTL) to EOC risk, revealing DNAm variations that are associated with nine GWAS loci and, further, one novel risk locus. Increasing efforts to mapping epigenome variation across populations and cell types will be key to decoding both the genomic and epigenomic causal pathways to EOC.

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 into farmland detected elephants on 336 occasions during the study period. We identified individual elephants for 126 camera-trap detections. All were independent males, and we identified 48 unique bulls aged 10–29 years. Two-thirds of the bulls identified were detected only once by camera traps during the study period. Our findings are consistent with previous studies that found that adult males are more likely to adopt high-risk feeding behaviours such as crop foraging, although young males dispersing from maternal family units also consume crops in Udzungwa. We found a large number of occasional crop-users (32 of the 48 bulls identified) and a smaller number of repeat crop-users (16 of 48), suggesting that lethal control of crop-using elephants is unlikely to be an effective long-term strategy for reducing crop losses to elephants.

<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 structure through trails, from the effect of human presence using these trails, on forest bird communities. Therefore we compared the effects of recreational trails on birds in two forests frequently used by recreationists with that in two rarely visited forests. In each forest, we conducted paired point counts to investigate the differences between the avian community close (50 m) and far (120 m) from trails, while accounting for possible habitat differences, and, for imperfect detection, by applying a multi-species N-mixture model. We found that in the disturbed (i.e., high-recreation-level forests) the density of birds and species richness were both reduced at points close to trails when compared to points further away (&minus;13 and &minus;4% respectively), whereas such an effect was not statistically discernible in the forests with a low-recreation-level. Additionally we found indications that the effects of human presence varied depending on the traits of the species. These findings imply that the mere presence of humans can negatively affect the forest bird community along trails. Visitor guidance is an effective conservation measure to reduce the negative impacts of recreationists. In addition, prevention of trail construction in undeveloped natural habitats would reduce human access, and thus disturbance, most efficiently.

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 cell death ligand-1 (PD-L1) pathway has been studied most extensively. Recently, forms of cell-free soluble PD-1/PD-L1 (sPD-1/sPD-L1) detection in plasm of patients with solid tumors has open a new paradigm for PD-1/PD-L1 investigations. However, within the context of MDS, the potential dysregulation and prognostic impact of sPD-1/sPD-L1 remains uncertain. This study was aimed to assess roles of sPD-1/sPD-L1 in newly diagnosed MDS patients. Method: Between July 2020 and March 2023, 130 MDS/sAML patients matched the inclusion criteria and 55 healthy individuals with no familial or personal history of autoimmune or cancer disorders were included. The criteria for patient inclusion included: (1) a diagnosis of MDS confirmed pathologically according to 2016/2022 World Health Organization (WHO) classification, or sAML patients with a verified prior MDS history; (2) absence of other conditions like autoimmune diseases or different types of tumors; (3) availability of complete clinical information and survival data. MDS patients were categorized by IPSS-R as: lower-risk (very low risk/ low risk; higher-risk (intermediate risk/high risk/very high risk. Follow-up was conducted until June 16th, 2023. The median follow-up was 14.32 months (range 3.2-34.63 months). Profile of sICs (sPD-L1, sPD-1, sCTLA-4, sGITR, sTIM-3, sOX40, sLAG-3, s4-1BB, sICOS) were tested by ELISA, cytokines (IFN-γ, IFN-α2, IL-2, IL-2α, IL-6, IL-7, IL-10, IL-15, IL-17, TNF-α) were detected using Luminex analysis, and the expression levels of PD-1 on T cells (CD3 +, CD4 +, CD8 +, DPT, DNT）were measured using flow cytometry (FCM). Result: In the plasma of 98 newly diagnosed MDS patients, sPD-L1 levels (median 66.80 pg/ml, range 25.00-219.5 pg/ml) were significantly elevated compared to 55 healthy blood donors (median 49.22 pg/ml, range 12.5-218.1 pg/ml). sPD-L1 level was higher in higher-risk IPSS-R groups ( P=0.0380). In addition, higher sPD-L1 levels also showed a correlation with lower hemoglobin concentration, implying a potential link between higher sPD-L1 levels and a more advanced MDS disease state. The AUC for sPD-1 was found to be 0.6333 [95% CI 0.5331-0.7334, P=0.0100] and for sPD-L1, it was 0.6785 [95% CI 0.5836-0.7733, P=0.0002]. The optimal cut-off values were established at 187.5 pg/mL for sPD-1 and 55.08 pg/mL for sPD-L1. Based on these cut-off values, patients with increased sPD-L1 experienced shorter OS ( P=0.0305). By using multivariate Cox model, high expression of sPD-L1 ( P=0.019, HR = 4.172, 95% CI: 1.265-13.755) and high IPSS-R scores ( P=0.030, HR = 2.898, 95% CI: 1.111-7.565) were found to be independent risk factors for newly diagnosed MDS patients. In addition, compared to healthy controls, the PD-1 + T cell subpopulations in MDS patients were significantly reduced, sPD-1 levels were positively correlated with proportion of CD4 + PD-1 + T cells, absolute count of CD4 + PD-1 + T cells and PD-1 + DPT cells, suggesting that CD4 + T cells and DPT cells may be potential sources of sPD-1 in plasma. Subsequently, we analysed the potential roles of cytokines and HMAs in sPD-1/sPD-L1 regulation. It was found that sPD-1 levels had a positive correlation with sPD-L1, IL-2Rα, IP-10, MIG, TNFα, GROα, and TRAIL. sPD-L1 was positively correlated with IL-2Rα, IP-10, MCP-1, MIG, MIP1α, and SCF (Figure 1 A). Notably. We found a reduced sPD-L1 levels in MDS patients who achieved remission after HMA treatment compared to treatment-naïve patients. ( P=0.0302) (Figure 1 B). Conclusions: In conclusion, we found sPD-L1 is an independent risk factors for overall survival in newly diagnosed MDS patients. The elevation of plasma sPD-L1 levels is associated with disease progression in MDS, and may be a potential target for MDS immunotherapy.

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 experiments, we collected sensor data from 14 participants (7 males and 7 females) whose ages ranged from 22 to 32 years (Mean: 27.4, Std: 2.17). The experiment site was located in Gyeryongsan National Park, Daejeon, South Korea. We chose five different zones; each was chosen to reflect various mountain trails in real mountain climbing scenarios. The first zone represents an easy path without risky segments, and the second and third zones represent traces of alternating risky and non-risky segments. Also, the fourth zone represents a large rocky trail, and finally the fifth zone represents a high slope trails. In second experiments, we hired five participants (one female), and their mean age was 26.2 (SD=2.3). We proceeded second experiment on the other trails of the mountain where the first experiment was conducted. In the second experiment, data from risky trails and non-risky trails were collected separately. Data were collected from 9 risky trails and 0.9 km long, non-risky trails We used the Nexus 5 smartphones with Android OS version 5.00 (lollipop) and collected the three-axis accelerometer data, three-axis gyroscope data, three-axis magnetic sensor data and GPS coordinates. To collect data, we developed a custom sensor-data logging program that uses the Android sensor API and recorded data with the sample rate set to FASTEST, which is approximately 50 Hz. Experimenters take the smartphones in the front pockets on pants since they are natural places for holding smartphones during climbing. For ease of collection, all phone screens faced toward the body with the camera on top. In this orientation, X-axis means the left-right axis, Y-axis means the vertical axis and Z-axis means the inward-outward axis (see Figure 2 in the paper). The name of each file contains the information of the data. The data for the experiment is in the form "zoneX_UserY". "ZoneX_UserY" indicates that data collected from user Y in Zone X. The second experiment data is named in the format "Second_labelX_UserY". Label indicates whether the data was collected from risky trails or non-risky trails and User Y indicates that data collected from user Y. Each coulmn of the data file represents the record of 3-axis accelerometer, magnetic sensor, gyroscope sensor data and total magnitude of each 3-axis sensor data. Also, 'Label' column in first experiment data represents the trail surface condition. '0' reprensents that data collcetd in non-risky segments and '1' represents that data collected in risky segments. The X, Y, and Z axes are defined as above. For example, Accel X refers to the acceleration sensor X-axis data, and Accel Mag refers to the total amount of acceleration calculated from the 3-axis acceleration sensor data. Please refer to 'TrailSense: A Crowdsensing System for Detecting Risky Mountain Trail Segments with Walking Pattern Analysis' published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1 Issue 3, September 2017 Article No. 65 for details.

AbstractThe management objectives of many protected areas must meet the dual mandates of protecting biodiversity while providing recreational opportunities. It is difficult to balance these mandates because it takes considerable effort to monitor both the status of biodiversity and impacts of recreation. Using detections from 45 camera traps deployed between July 2019 and September 2021, we assessed the potential impacts of recreation on spatial and temporal activity for 8 medium‐ and large‐bodied terrestrial mammals in an isolated alpine protected area: Cathedral Provincial Park, British Columbia, Canada. We hypothesised that some wildlife perceive a level of threat from people, such that they avoid ‘risky times’ or ‘risky places’ associated with human activity. Other species may benefit from associating with people, be it through access to anthropogenic resource subsidies or filtering of competitors/predators that are more human‐averse (i.e., human shield hypothesis). Specifically, we predicted that large carnivores would show the greatest segregation from people while mesocarnivores and ungulates would associate spatially with people. We found spatial co‐occurrence between ungulates and recreation, consistent with the human shield hypothesis, but did not see the predicted negative relationship between larger carnivores and humans, except for coyotes (Canis latrans). Temporally, all species other than cougars (Puma concolor) had diel activity patterns significantly different from that of recreationists, suggesting potential displacement in the temporal niche. Wolves (Canis lupus) and mountain goats (Oreamnos americanus) showed shifts in temporal activity away from people on recreation trails relative to off‐trail areas, providing further evidence of potential displacement. Our results highlight the importance of monitoring spatial and temporal interactions between recreation activities and wildlife communities, in order to ensure the effectiveness of protected areas in an era of increasing human impacts.