An integrated model approach for disaster impact reduction: lessons from a slow onset disaster in Chile by David Gomez-Schwartz, Mauricio Castillo-Vergara, Oscar Contreras González, Cesar Espíndola Arellano

“…Research limitations/implications – The paper has implications for the resilience of territories affected by climate change. …”
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Conflits armés et environnement by Al–Hamandou Dorsouma, Michel-André Bouchard

“…Numerous examples of such damages are now well documented from conflict-affected area. This paper discusses the applicability and usefulness of well established environmental assessment processes in various phases of conflict with emphasis on prevention, anticipation and attenuation of possible impacts.The analysis shows that environmental assessment may play a great role in situation of conflict, both at the pre- and post-conflict stage, and in some degree during the syn-conflict phases. …”
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Design of Joint Spatial and Power Domain Multiplexing Scheme for Massive MIMO Systems by Zheng Jiang, Bin Han, Peng Chen, Fengyi Yang, Qi Bi

“…Different from most of the existing works, this paper proposes Joint Spatial and Power Multiplexing (JSPM) scheme in FDD systems. …”
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Reinterpretation of Report of Tetrataenite in Bulk Alloy Castings by Owain S. Houghton, James C. Loudon, Alison C. Twitchett‐Harrison, Nikolaos T. Panagiotopoulos, Giulio I. Lampronti, Miguel B. Costa, Richard J. Harrison, A. Lindsay Greer

“…Further work confirms that the original conclusions cannot be supported, and accordingly the paper is retracted. X‐ray diffraction shows the presence of (Fe,Ni)3P, giving additional Bragg peaks that were previously attributed to tetrataenite. …”
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Progress of Analytical Techniques and Application of Triple Oxygen Isotopes in Dissolved Oxygen by Hongmin ZHENG, Xijie YIN, Haili YANG, Zijun WU

“…The triple oxygen isotopes are increasingly being recognized for their value in fields such as ecology，environmental science，climatology，and marine science. This paper reviews the recent advancements in DO stable isotope analysis techniques in water bodies，introduces the current research and developments of triple oxygen isotopes in primary productivity estimation and paleoclimate evolution，and discusses future directions and trends for triple oxygen isotopes.…”
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Impact of Strontium and Krypton Release from Ghana’s MNSR following a Conjectural Accident Scenario by S. A. Birikorang, R. G. Abrefah, H. K. Obeng, K. Gyamfi

“…The emphasis becomes paramount when the release involves particulate of radiation particles. This paper provides a comprehensive insight report on an account of a research investigation carried out in addressing a radiological safety issue of Ghana’s Miniature Neutron Source Reactor (MNSR) during its core conversion project. …”
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Study and valorization of a new bituminous concrete based on natural dune sand for hot and arid environments by Ahmed Berriache, Mohamed Bensoula, Mohamed Zaoui, Tahar Kadri

“…This article responds to this problem by proposing dune sand as a source of filler by grinding it and then introducing it into pure bitumen to obtain the bitumen-filler mix. In this paper, two types of analysis were carried out, one thermal and the other mechanical to study the influence of the substitution of quarry sand filler by dune sand filler in asphalt concrete. …”
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Nonlocal Intracranial Cavity Extraction by José V. Manjón, Simon F. Eskildsen, Pierrick Coupé, José E. Romero, D. Louis Collins, Montserrat Robles

“…However, the high variability of brain shape and size due to normal intersubject variability, normal changes occurring over the lifespan, and abnormal changes due to disease makes the ICV estimation problem challenging. In this paper, we present a new approach to perform ICV extraction based on the use of a library of prelabeled brain images to capture the large variability of brain shapes. …”
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Identifying Tomato Growth Stages in Protected Agriculture with StyleGAN3–Synthetic Images and Vision Transformer by Yao Huo, Yongbo Liu, Peng He, Liang Hu, Wenbo Gao, Le Gu

“…However, traditional approaches often face challenges like non-standardized data collection, unbalanced datasets, low recognition efficiency, and limited accuracy. This paper proposes an innovative solution combining generative adversarial networks (GANs) and deep learning techniques to address these challenges. …”
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Design Optimization and Parameter Analysis of a Hybrid Rocket Motor-Powered Small LEO Launch Vehicle by Hao Zhu, Pengcheng Wang, Weile Xu, Yuanjun Zhang, Hui Tian, Guobiao Cai

“…In this paper, the effects of different grain shapes of a hybrid rocket motor (HRM) and different payload mass/orbit heights on the design of small launch vehicles (SLVs) are systematically discussed. …”
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Dynamic Nonlinear and Residual Deformation Behaviors of the Fly Ash-Modified Loess by Qian Wang, Jun Wang, Xiumei Zhong, Haiping Ma, Xiaowei Xu

“…Moreover, it has strong economic and social benefits. This paper investigates the influence of fly ash on the dynamic properties of the modified loess through a series of dynamic triaxial tests of the fly ash modified loess with different fly ash contents. …”
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Study on Deformation Mechanism and Surrounding Rock Strata Control in End-Mining Retracement Roadway in Closely Spaced Coal Seams by Bin Wang, Hui Liu, Dong Liu, Jie Zhang, Haifei Lin

“…This paper aims to address the issue of hydraulic support crushing accidents or support failures in the retracement roadway (RR) that frequently occurs when a fully mechanized mining face is retraced during the end-mining stage. …”
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Inter-Cloud Data Security Framework to Build Trust Based on Compliance with Controls by Syed Imran Akhtar, Abdul Rauf, Muhammad Faisal Amjad, Ifra Batool

“…Most sensitive to any organization is its data, thus, to give confidence to these organizations to put their data in the cloud requires a trustworthy framework. Therefore, this paper proposes an inter-cloud data security framework, which is a set of controls and a mechanism to measure trust for data sharing based on compliance with the controls. …”
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Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…For this purpose, this paper proposes a novel approach to recognizing emotion during walking using electroencephalogram (EEG) and inertial signals. …”
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Significant Midlatitude Bubble‐Like Ionospheric Super‐Depletion Structure (BLISS) and Dynamic Variation of Storm‐Enhanced Density Plume During the 23 April 2023 Geomagnetic Storm... by Ercha Aa, Shun‐Rong Zhang, Shasha Zou, Wenbin Wang, Zihan Wang, Xuguang Cai, Philip J. Erickson, Anthea J. Coster

“…Abstract This paper investigates the midlatitude ionospheric disturbances over the American/Atlantic longitude sector during an intense geomagnetic storm on 23 April 2023. …”
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Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District by Luca Bacci, Enrico Dal Cin, Gianluca Carraro, Sergio Rech, Andrea Lazzaretto

“…The integration of energy generation and consumption is one of the most effective ways to reduce energy-system-related waste, costs, and emissions in cities. This paper considers a university district consisting of 32 buildings where electrical demand is currently met by the national grid, and 31% of thermal demand is supplied by a centralized heating station through a district heating network; the remainder is covered by small, dedicated boilers. …”
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PREDICTING SOIL WATER CONTENTS UNDER SEMI-ARID CLIMATE by Khalid Ahmed, Ahmed Saeed, Ghazwan Dahham, Mahmoud Rafik

“…Groundwater scarcity in semiarid conditions and still using traditional tillage systems without prior knowledge affect these tools on water consumption, tillage practices change many soil properties one of its void spaces which plays a significant role in the ability of soil water content, so the aim of this paper to study the effect of tillage methods on soil water content throughout growing season. …”
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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

“…However, the time complexity of training DNNs for learning wireless communication policies has only been evaluated in terms of runtime. In this paper, we introduce the number of serial FLOPs (se-FLOPs) as a new metric of time complexity, accounting for the ability of parallel computing. …”
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania by Judith Leo, Edith Luhanga, Kisangiri Michael

“…However, the integration of weather variables and use of machine learning techniques have not been explicitly deployed in modeling cholera epidemics in Tanzania due to the challenges that come with its datasets such as imbalanced data and missing information. This paper explores the use of machine learning techniques to model cholera epidemics with linkage to seasonal weather changes while overcoming the data imbalance problem. …”
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Setting and Reaching Targets with Computer-Assisted Cochlear Implant Fitting by Bart Vaerenberg, Geert De Ceulaer, Zoltán Szlávik, Patrizia Mancini, Andreas Buechner, Paul J. Govaerts

“…Objective. The paper aims to demonstrate the feasibility of defining a substantial set of psychoacoustic outcome measures with preset targets and to adopt a systematic methodology for reaching these targets in a large group of subjects, by more than one clinical centre. …”
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