Tuberculosis incidence among children under five years of age in Mozambique: Spatial distribution and predictors in a nationwide Bayesian disease mapping study by Nelson Cuboia, Marla Amaro, Ivan Manhiça, Joana Reis-Pardal, Pereira Zindoga, Isabel Pfumo-Cuboia, Benedita José, Claúdia Mutaquiha, Luís Nitrogénio, Aleny Couto, Luís Azevedo

“…To account for spatial dependence and improve estimates in districts with low case counts, we applied hierarchical Bayesian Poisson regression models. …”
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Watch Your Callback: Offline Anomaly Detection Using Machine Learning in ROS 2 by Jeonghwan Kang, Kyounghwan Kim, Donghyun Kwon

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Spatial distribution and associated factors of zero-dose immunization among 12–23 month-old children in Ethiopia: spatial and survey regression analysis by Kindie Fentahun Muchie, Abebaw Gedef Azene, Kassawmar Angaw Bogale, Desale Bihonegn Asmamaw, Wubshet Debebe Negash, Tadele Biresaw Belachew, Bethelihem Tigabu Tarekegn, Bewuketu Terefe, Getasew Mulat Bantie, Habitu Birhan Eshetu, Gizachew Tadesse Wassie

“…Despite this, many children, especially those living in low- and middle-income countries, continue to miss out on lifesaving vaccines, the worst of which is zero-dosage. …”
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State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…For the problem size solvability point of view, the traditional low-rank methods suffer from the trivial solution caused by too many unknown convex optimization variables due to a large number of time samples, whereas the proposed TLS-based algorithms can handle a large power distribution system with a large number of time samples.…”
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Unintentional Injuries Requiring Medical Attention in Low-Income and Middle-Income Countries: Evidence from Nationally Representative surveys in 12 Countries by Leila Ghalichi, Albertino Damasceno, David Flood, Pascal Geldsetzer, Mongal Gurung, Maja Marcus, Kibachio Joseph Mwangi, Sebastian Vollmer, Michaela Theilmann, Justine Davies

“…Abstract Background Despite a high burden of injuries in low-income and middle-income countries (LMICs), a lack of empirical evidence on mechanism, location, and distribution of unintentional injuries requiring medical attention (hereafter injuries) hinders informed health system policy development. …”
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FEASTS Combined with Interferometry. III. The Low Column Density H i Around M51 and Possibility of Turbulent-mixing Gas Accretion by Xuchen Lin, Jing Wang, Lister Staveley-Smith, Suoqing Ji, Dong Yang, Xinkai Chen, Fabian Walter, Hsiao-Wen Chen, Luis C. Ho, Peng Jiang, Nir Mandelker, Se-Heon Oh, Bo Peng, Céline Péroux, Zhijie Qu, Q. Daniel Wang

“…With simple models, we find that these low N _H _i structures could survive the background ultraviolet photoionization, but are susceptible to the thermal evaporation. …”
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Grain Size in the Class I Protostellar System TMC-1A Constrained with ALMA and Very Large Array Observations by Yusuke Aso, Satoshi Ohashi, Hauyu Baobab Liu, Wenrui Xu

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Detecting the Distribution of Callery Pear (<i>Pyrus calleryana</i>) in an Urban U.S. Landscape Using High Spatial Resolution Satellite Imagery and Machine Learning by Justin Krohn, Hong He, Timothy C. Matisziw, Lauren S. Pile Knapp, Jacob S. Fraser, Michael Sunde

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A SWIN-based vision transformer for high-fidelity and high-speed imaging experiments at light sources by Songyuan Tang, Tekin Bicer, Kamel Fezzaa, Samuel Clark

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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Finally, geographically weighted regression (GWR) models are used to explore the effect of LCZ landscape patterns on spatial heterogeneity of high temperature disaster risk.ResultsThe characteristics of high temperature disaster risk in each district do not differ much, and the overall spatial presentation of the development center of each district gradually decreases from high to low, with high-risk areas mainly located in the south-central part of Caidian District, the west and north of Jiangxia District, the dense industrial parks in the south of Dongxihu District, the Wuhan Iron and Steel Factory in Qingshan District, and the Tianhe Airport in Huangpi District, and the low-risk areas are mainly in the watershed part. …”
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Spatial analysis of distribution and access to urban services at the level of urban neighborhoods with a spatial justice approach (Case study: Commercial uses of Ardabil city) by Alireza Mohammadi, Reza Hashemi Masoomabad, chnour Mohammadi

“…The statistical population of the study is 44 localities of Ardabil city. Spatial statistics models, Hot Spot Analysis, and GIS software were used for data analysis. …”
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Investigation on short-term slow slip events in the northeast Japan subduction zones using decadal GNSS data by Yutaro Okada, Takuya Nishimura

“…We conduct the time series stacking with reference to very low-frequency earthquakes in Tokachi-Oki and average fault model estimation using displacements obtained from the stacked series to discuss their possible location range with their uncertainty. …”
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Experimental Characterization of Commercial Scroll Expander for Micro-Scale Solar Organic Rankine Cycle Application: Part 2 by Federico Fagioli, Maria Manieri, Gianmarco Agostini, Michele Salvestroni, Francesco Taddei, Filippo Cottone, Maurizio De Lucia

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Adaptive operating mode management model for efficient energy harvesting systems by Hayeon Choi, Youngkyoung Koo, Sangsoo Park

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Estimation of aboveground biomass in Tajikistan based on upscaling extrapolation of UAV and Sentinel-2 multi-source data synergy by Lina Hao, Huping Ye, Shuang He, Xinyu Zhang, Dalai Bayin, Mustafo Safarov, Mekhrovar Okhonniyozov, Xiaohan Liao

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Domain Adaptation via Low Rank and Class Discriminative Representation for Autism Spectrum Disorder Identification: A Multi-Site fMRI Study by Xingdan Liu, Jiacheng Wu, Wenqi Li, Qian Liu, Lixia Tian, Huifang Huang

“…Specifically, LRCDR adopts low rank representation to alleviate the marginal distribution difference between domains by aligning the global structure of the projected multi-site data. …”
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Competence region estimation for black-box surrogate models by Tapan Shah

“…A simple, effective methodis to learn machine learning models from quantized datastored with low arithmetic precision (1-8 bits). …”
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Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data by YANG Qiuyu, KUANG Shusen, ZHENG Xiaogang, YE Guoqi, ZHANG Zhongxin

“…Aiming at the problem of low accuracy of load forecasting caused by unbalanced minority class samples in power load data, this paper proposes a power load forecasting method based on K-means-SyMProD-PCA data preprocessing and NPMA-LSSVM model. …”
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Multisensor Track Occupancy Detection Model Based on Chaotic Neural Networks by Ze-xi Hua, Xiang-dong Chen

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In-depth understanding of sodium heat transfer characteristics with low Prandtl number in wire-wrapped fuel assemblies using high-fidelity CFD technique by Jophous Mugabi, Hanseop Song, Jae-Ho Jeong

“…CFD simulations were conducted in STAR-CCM+ and ANSYS CFX and examined mass flow rates, pressure drops, and temperature distributions, validated against experimental data. Sensitivity analyses of turbulence models (SST, k-ε, and k-ω) indicated that the SST model best captured complex flow and three-dimensional vortical structures in SFR conditions, with edge subchannels exhibiting enhanced heat transfer due to higher axial velocities. …”
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