Prevalence of Keratoconus in a Refractive Surgery Population by Abdulrahman Mohammed Al-Amri

“…All subjects were from the Aseer province, a southern, high-altitude region in Saudi Arabia, and presented between January and December 2017. …”
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From Stars to Stones: The Cultural and Linguistic Roots of the Name ‘Skardu’ by Muhammad Nazir, Sajjad Hussain

“…Celestial or cosmic reference in the name is a recount and admiration of the earlier Balti settlers for the starry sky and its high altitude symbolizing it with a welcoming sign for the new settlers. …”
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Construction Prototyping, Flight Dynamics Modeling, and Aerodynamic Analysis of Hybrid VTOL Unmanned Aircraft by Roman Czyba, Marcin Lemanowicz, Zbigniew Gorol, Tomasz Kudala

“…This problem emerges especially in urban environment where the usage of a runway is not possible, and UAVs usually have to fly at a relatively low speed and altitude. The development of a vertical take-off and landing (VTOL) fixed-wing plane is a promising trend which hopefully will solve this issue. …”
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Research Progress in Computational Methods for System-Level Coupling of Electromagnetic Pulse by Haiyan Xie, Jianguo Wang

“…A simplified method based on the effective coupling length approach and its application in high-altitude electromagnetic pulse coupling with power grids are discussed. …”
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Stratospheric X‐Rays Detected at Midlatitudes With a Miniaturized Balloon‐Borne Microscintillator‐PiN Diode System by K. L. Aplin, G. J. Marlton, V. Race

“…The energy‐discriminating and altitude‐sensitive capability of the microscintillator augments spacecraft observations from below.…”
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Deep reinforcement learning to enhance the energy-efficient performance of UAV-enabled F-RAN by Haibo MEI, Kun YANG, Xinyu FAN

“…Fog radio access network (F-RAN) is suitable for Internet of things applications of national important industries, such as pipeline network monitoring in wide area.However, the performance of the F-RAN based on the territorial fog access point will be affected greatly by the complicated territorial environment.This causes F-RAN not able to provide fog access service in a timely and effectively manner.To this problem, the research was proposed to utilize low altitude UAV as the fog access point to realize air ground edge communication and fog computing, which has attracted enormous research interests.How to use deep reinforcement learning (DRL) to improve the energy efficiency of UAV fog access point and extend the mission time of UAV were discussed.Deep reinforcement learning can ensure the UAV fog access point to adjust the configuration strategy timely of air ground communication and computing, including resource optimization, dynamic task offloading and caching.DRL can also optimize the UAV trajectory in 3-D space, and improve the overall performance of UAV enabled fog access network.The innovation of the research lies in the comprehensive discussion of the main optimization problems to be solved in the UAV-enabled F-RAN using DRL.The technical details were also summarized to solve the related optimization problems.Finally, the technical challenges and future research directions of the application of DRL in the UAV-enabled F-RAN were discussed.…”
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Exceptional thinning through the entire altitudinal range of Mont-Blanc glaciers during the 2021/22 mass balance year by Etienne Berthier, Christian Vincent, Delphine Six

“…Our analysis shows that high altitude glaciers, mostly stable during the last 100 years, are now responding to the impact of climate change.…”
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Determination of vegetation characteristics and hay yield of Taşoluk natural pasture in Aydın province Karacasu district by Haydar Can Kirazlı, Ahmet Alper Babalık

“…This research was carried out in the Taşoluk natural pasture with an average altitude of 1550 meters and an average slope of 22%, located in the Karacasu district of Aydın province, during the 2022 vegetation period. …”
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The Semidiurnal Tidal Response of the Low Latitude Ionosphere to Northern Hemisphere Polar Vortex Strength (2020–2023) From COSMIC‐2 Global Ionospheric Specification by Deepali Aggarwal, Jens Oberheide, Nicholas Pedatella, Benjamin C. Martinez

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UAV selection for high-speed train communication using OTFS modulation by Ehab Mahmoud Mohamed, Sherief Hashima

“…The optimization challenge arises from accurately estimating each UAV’s expected coverage period for the HST, given both are moving at high speeds and the UAV’s flying altitude is unknown to the HST. This paper utilizes the estimated HST-UAV channel parameters in the delay-doppler (DD) domain, employing orthogonal time frequency space (OTFS) modulation, to estimate the relative speeds between the HST and UAVs, as well as the UAVs’ flying altitudes. …”
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Investigating the past, present and future responses of Shallap and Zongo Glaciers, Tropical Andes, to the El Niño Southern Oscillation by Alasdair Richardson, Rachel Carr, Simon Cook

“…Results also demonstrate the strong sensitivity of both glaciers to changes in the equilibrium line altitude, whereby rapid ice loss occurred when melt extended into present-day accumulation areas.…”
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Sentinel Alpine Pastures: An original programme for a new form of shared governance to face the climate challenge by Laurent Dobremez, Baptiste Nettier, Jean-Pierre Legeard, Bruno Caraguel, Laurent Garde, Simon Vieux, Sandra Lavorel, Muriel Della-Vedova

“…The Ecrins National Park organized a meeting of its Agriculture Commission to discuss repeated droughts and fears arising from the impact of alpine farming practices on high altitude environments. The alpine pasture was pronounced an area of shared challenges in terms of climate change, involving the co-responsibility of livestock farmers and the Park. …”
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Improved Chicken Reproduction and Yield of Improved Poultry from Titanium Dioxide (TiO2) Nanoparticles Coated in Jimma Horro Area of Kellem Wollega Zone, Ethiopia by Soressa Shuma Abdisa, Jule Leta Tesfaye, Abel Saka, Abdisa Abraham, N. Nagaprasad, Lamessa Gudata, Krishnaraj Ramaswamy

“…The lowest chick mortality (39.8) was observed in Tribe Kebele (highland), and the highest clutches per year (2.96) were observed compared to other Kebeles (mid-altitude and low land). Poultry reproductivity is little, so diverse development approaches must be familiarized. …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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A new proposal for an easy-to-calibrate DNI clear-sky model: a performance analysis and validation in different geographical locations by César D. Sánchez-Segura, Manuel I. Peña Cruz

“…Properly defining the parameters of each clear sky model implies knowing the altitude, latitude, longitude, as well as various climatic characteristics of the study site, which makes its implementation difficult. …”
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Urban Air Mobility demand forecasting: modeling evidence from the case study of Milan (Italy) by Pierluigi Coppola, Francesco De Fabiis, Fulvio Silvestri

“…Demand forecasting is based on random utility mode choice models, which include factors related to the individuals’ perception of vertical take-off/landing and low altitude flying over urbanized areas. The use cases of UAM services include airport shuttles, intercity air connections, and “air-taxis”, i.e., UAM services for short-trips within the metropolitan area. …”
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De la viande, du foin et un pastoralisme sédentaire by Sabine Chabrat, Baritaux Virginie, Marie Houdart

“…Construite sur un territoire au caractère plus herbager que pastoral, cette AOP a la particularité de reposer sur des ressources pastorales tels que les pâturages d’altitude, l’isolement mais aussi non pastorales, comme le foin. …”
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SPATIAL ANALYSIS OF ENVIRONMENTAL AND ANTHROPOGENIC INFLUENCES ON NITRATE CONCENTRATION IN SHALLOW GROUNDWATERS. CASE STUDY: RUSCOVA VALLEY, MARAMUREŞ MOUNTAINS (ROMANIA) by GHEORGHE KUCSICSA, VASILE POPOVICI

“…In addition to nitrate concentration, determined in 26 water samples, several parameters were measured during the field surveys: water pH, temperature, depth to water and altitude of the sample point. Moreover, several environmental and anthropogenic potential explanatory factors for nitrate concentration were analysed: depth to water, land use/land cover, lithology, soil texture, number of households and population density. …”
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Geohazard mapping and mitigations along the road corridor Gasera–Indeto, Southeast Ethiopia by Chalachew Tesfa

“…The study used eight factors: slope, aspect, lithology, rainfall, altitude, road proximity, river proximity, and land use/cover. …”
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Improving Electron Density Predictions in the Topside of the Ionosphere Using Machine Learning on In Situ Satellite Data by S. Dutta, M. B. Cohen

“…We validated the model via comparison with data from the DEMETER satellite which orbited at a similar altitude, and taking that as an independent source of true electron density values. …”
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