Deep Neural Network-Based Detection of Modulated Jamming in Free-Space Optical Systems: Theory and Performance Under Atmospheric Fading by Manav R. Bhatnagar

“…Results show that the proposed model approaches the theoretical limit at moderate dimensions, low noise, and high jammer power, while generalization performance is constrained at large dimensions by data sparsity and architectural capacity. …”
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A Bibliographic Review on the Qualification of Articles about Values Education in Turkey by Hasan MEYDAN, Recep KAYMAKCAN, Fatma AKTAŞ

“…The research is structured in descriptive document scanning model. Both qualitative and quantitative methods were used in data analysis. …”
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Precision analysis of NGC 2158 with Gaia DR3 by Nasser M. Ahmed, A. L. Tadross

“…We calculated all astrophysical parameters of NGC 2158-including center, cluster radius, radial density distribution, color-magnitude diagram, distance, age, and reddening-using the photometric and astrometric data from Gaia DR3. …”
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Process and Correlation Between Ecosystem Services Value and Ecological Risk in River Basin by Jiang Weifeng, Xu Yan, Li Donghua, Bi Shanshan, Li Qian, Lu Lin

“…[Methods] Based on land use data and socio-economic statistical data for the Huaihe River basin in Anhui Province from 2000 to 2019, a dynamic evaluation model of ecosystem service value was established by using the dynamic equivalence method. …”
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TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…In remote sensing target detection cases, great challenges are faced when migrating detection models from the visible domain to the infrared domain. …”
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The Impacts of Vapor Transport on Land-atmospheric Water & Heat Exchanges over the Yarlung Zangbo Grand Canyon Area by Qiang ZHANG, jun WEN, yiting YANG, dongyu JIA, wenhui LIU, yaling CHEN, xuancheng LU

“…The Yarlung Zangbo Grand Canyon region （referred to as the YGC）， located in the southeast Qinghai-Xizang Plateau， is the main channel of the warm and humid air transported from the India Ocean to the Qinghai-Xizang Plateau （referred to as the QXP）， and it plays an important role in the water and energy cycle of the QXP.In order to explore the influences of the different horizontal water vapor transport on the water & heat exchanges flux， the water vapor intensity over the YGC from May 20， to July 9， 2013， was divided into three levels： strong， weak， and very weak based on the ECMWF Re-Analyses version5 data.And the fifth-generation public land model （Community Land Model version 5.0， CLM5.0） was deployed to simulate the impact of the horizontal water vapor transport on the YGC-atmospheric water and heat exchanges.The results show that the south （east） boundary of the YGC is the main input （output） boundary of water vapor， and the YGC valley over the south of the YGC is a strong water vapor transport belt.The YGC-atmospheric water & heat exchanges fluxes simulated by CLM5.0 has large errors compared to the actual measurements， the CLM5.0 simulated near-surface water & heat exchanges fluxes over the YGC have a high accuracy by optimizing the thermal roughness length （Z0h） parameterization schemes replacing the default soil attribute data-set.Compared with the simulations by using the CLM5.0 default parameterization scheme， the one developed by Zeng and Dickinson （1998）.…”
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Prognostic and functional role of PPAR-alpha and SNP receptor (Leu162Val) in acute coronary syndrome: a potential novel target by Abdullah Abdulsattar Raeef, Hassan H. Al-Saeed, Sami Mekhlif Mishlish

“…The level of (PPAR-alpha) was low in patients (1472.2 ± 74.5) and high in the healthy group (2051.8 ± 149.9) with significant differences between study groups. …”
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Bandwagon effect, free-rider effect, tragedy of the commons: collaborative governance of marine pollution by Yu Gu

“…Problems such as uneven distribution of responsibilities and low efficiency of cooperation are frequently encountered. …”
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Urinary 8-hydroxy-2′-deoxyguanosine levels and small-for-gestational age infants: a prospective cohort study from the Japan Environment and Children’s Study by Mitsuaki Hosoya, Koichi Hashimoto, Seiji Yasumura, Tsuyoshi Murata, Hyo Kyozuka, Toma Fukuda, Yuta Endo, Aya Kanno, Shun Yasuda, Akiko Yamaguchi, Akiko Sato, Yuka Ogata, Kosei Shinoki, Hidekazu Nishigori, Keiya Fujimori

“…Participants were categorised into the following three groups according to the quartile of the distribution of U8-OHdG: low U8-OHdG (<1.95 ng/mgCre), moderate U8-OHdG (the combined second and third quartiles; 1.95–2.95 ng/mgCre) and high U8-OHdG (>2.95 ng/mgCre) groups. …”
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Application of the magnetotelluric method in geothermal exploration in Jianshi county, Hubei province, China by Peng Simeng, Xie Xingbing, Zhang Lianqun, Rao Song, Zhou Lei, Lu Chuyang, Li Yuxi

“…The fault distribution was confirmed, and the potential geothermal resource areas were inferred based on geological information. …”
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Risk of Incidence and Lethality by Etiology of Severe Acute Respiratory Syndrome in Hospitalized Children Under 1 Year of Age in Brazil in 2024: A Cross-Sectional Study by Tamires de Nazaré Soares, Natasha Cristina Oliveira Andrade, Suziane do Socorro dos Santos, Marcela Raíssa Asevedo Dergan, Karina Faine Freitas Takeda, Jully Greyce Freitas de Paula Ramalho, Luany Rafaele da Conceição Cruz, Perla Katheleen Valente Corrêa, Marli de Oliveira Almeida, Joyce dos Santos Freitas, Wilker Alves Silva, Marcos Jessé Abrahão Silva, Daniele Melo Sardinha, Luana Nepomuceno Gondim Costa Lima

“…Viruses such as parainfluenza 4 (8.57%), influenza B (2.86%), parainfluenza 3 (2.49%), and SARS-CoV-2 (2.47%) had higher lethality. The multivariate model identified parainfluenza 4 (OR = 6.806), chronic kidney disease (OR = 3.820), immunodeficiency (OR = 3.680), Down Syndrome (OR = 3.590), heart disease (OR = 3.129), neurological disease (OR = 2.250), low O₂ saturation (OR = 1.758), SARS-CoV-2 (OR = 1.569) and respiratory distress (OR = 1.390) as risk factors for death. …”
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The Vela Pulsar and Its Pulsar Wind Nebula Vela-X Using 13 Yr of Fermi-LAT Observations by Alexander Lange, J. Eagle, O. Kargaltsev, Lucien Kuiper, Jeremy Hare

“…We also discuss the physical implications of our modeling and the data comparisons.…”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…Accurately representing the spatial distribution of soil thickness is important for various models of earth surface processes. …”
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Spatiotemporal analysis of dog-mediated rabies in Zambia: A retrospective study, 2013–2022 by Humphrey Banda, Amos Hamukale, Chitwambi Makungu, Wezi Kachinda, Masuzyo Ngoma, Liywalii Mataa, James Blazer Banda, Walter Muleya, Dabwitso Banda, Nyambe Sinyange

“…A purely spatial cluster analysis using the Discrete Poisson model in SaTScan v10.3 was conducted to detect rabies clusters across 10 provinces of Zambia. …”
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Safety Assessment Method for Parallel Runway Approach Based on MC-EVT for Quantitative Estimation of Collision Probability by Yike Li, Honghai Zhang, Zongbei Shi, Jinlun Zhou, Wenqing Li

“…Taking a parallel runway at a major airport in Southwest China as a case study, historical Automatic Dependent Surveillance-Broadcast (ADS-B) trajectory data were processed and analyzed to derive traffic flow characteristics and the actual distribution of approach performance. …”
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Plasmodium falciparum malaria endemicity in Indonesia in 2010. by Iqbal R F Elyazar, Peter W Gething, Anand P Patil, Hanifah Rogayah, Rita Kusriastuti, Desak M Wismarini, Siti N Tarmizi, J Kevin Baird, Simon I Hay

“…We used model based geostatistics (MBG) techniques to generate a contemporary map of Plasmodium falciparum malaria risk in Indonesia in 2010.…”
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Integrating electrical resistivity tomography and x-ray fluorescence for characterizing limestone in the Wapulaka Formation, Central Buton, Indonesia by Erfan Syamsuddin, Adi Maulana, Alimuddin Hamzah Assegaf, Ulva Ria Irfan

“…Electrical Resistivity Tomography (ERT) surveys were conducted along four profiles, covering a total length of 495 meters, with an electrode spacing of 5 meters to identify resistivity variations linked to lithological changes, fractures, and karst formations. The collected data were processed and inverted with Res2DInv software, applying topographic corrections to produce high-resolution 2D resistivity models. …”
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An artificial neural network approach to comparative aspects: A predictive analysis of magnetic dipole on the heat transfer of maxwell hybrid nano coolants flow in an inclined cyli... by J. Aruna, H. Niranjan

“…The implementation of MATLAB with its built-in bvp4c numerical solver converts the partial differential equations into ordinary differential equations, and a multilayer perception -artificial neural network (ANN) using the Levenberg-Marquardt algorithm predicts skin friction, Nusselt, and Sherwood numbers. Numerical data consisting of 110 points is obtained via bvp4c and implemented in the ANN model, where the training, validation, and testing are 70 %, 15 %, and 15 % respectively as the input data. …”
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Combined application of FTAN and cross-spectra analysis to ambient noise recorded by a microseismic monitoring network by Ilaria Barone, Alessandro Brovelli, Giorgio Tango, Sergio Del Gaudio, Giorgio Cassiani

“…The main advantage of combining these two methods is a more accurate identification of higher modes, resulting in a reduction of ambiguity during picking and data interpretation. Surface wave tomography was run to obtain the spatial distribution of group and phase velocities for the same wavelengths. …”
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Characterising spatial patterns of neglected tropical disease transmission using integrated sero-surveillance in Northern Ghana. by Kimberly M Fornace, Laura Senyonjo, Diana L Martin, Sarah Gwyn, Elena Schmidt, David Agyemang, Benjamin Marfo, James Addy, Ernest Mensah, Anthony W Solomon, Robin Bailey, Chris J Drakeley, Rachel L Pullan

“…<h4>Methodology/principal findings</h4>Here, we combine integrated serological surveys with geostatistical modelling and remote sensing-derived environmental data to estimate the spatial distribution of exposure to multiple diseases in children in Northern Ghana. …”
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