Chromosomes and speciation in tuco-tuco (Ctenomys, Hystricognathi, Rodentia) by A. A. Torgasheva, E. A. Basheva, M. J. Gomez Fernandez, P. Mirol, P. M. Borodin

“…These changes can modulate the flow of genes between chromosomal races and amplify the divergence which has arisen due to spatial isolation. These data confirm the recombinational model of chromosomal speciation.…”
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Evolution Mechanism of Advanced Equipment Manufacturing Innovation Network Structure from the Perspective of Complex System by Jianbo Wang, Xing Cao

“…The reduction in spur helps to increase economic output.…”
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Spatiotemporal simulation of sustainable development based on ecosystem services under climate change. by Bao Zhou, Guoping Chen, Junsan Zhao, Ying Yin

“…The results indicate that: (1) Under all three scenarios in 2035, the trend of LUCs in the karst area of southeastern Yunnan is highly consistent, though the intensity and spatial configuration vary significantly. The least reduction in arable land area occurs under the shared socioeconomic pathways (SSP) 126 scenario, while water bodies and construction land show varying degrees of increase; (2) Regarding ESs, both water yield and soil retention exhibit an increasing trend across all scenarios by 2035, with the most notable rise under SSP126. …”
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Simulating CO2 dynamics in Brackish Lake Obuchi, Japan: Low pCO2 maintenance through diverse nutrient inputs by Kazuhiro Misumi, Takaki Tsubono, Daisuke Tsumune, Takeshi Yoshimura, Shinji Ueda

“…The pCO2 variability is dominated by spatially uniform seasonal patterns (90% of variance) driven by temperature changes, while summer periods exhibit distinct spatial patterns (6.0% of variance) that vary with river discharge magnitude. …”
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Resource-Oriented Treatment Technologies for Rural Domestic Sewage in China Amidst Population Shrinkage: A Case Study of Heyang County in Guanzhong Region, Shaanxi Province by Mei Huang, Degang Duan, Sicheng Tan, Ling Huang

“…This facilitates the transition from gray-infrastructure-dependent models to holistic pollution control systems with resource recovery capabilities. …”
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Evaluating stream power distribution along river longitudinal profiles using Log S – log A plots by Jui-Tien Tsai, Yen-Yu Chiu, Su-Chin Chen

“…A new two-parameter regression model is proposed, addressing inaccuracies in traditional models and providing a more-precise representation of river profiles. …”
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PEMBELAJARAN KEBENCANAAN BAGI MASYARAKAT DI DAERAH RAWAN BENCANA BANJIR DAS BERINGIN KOTA SEMARANG by Erni Suharini, Dewi Liesnoor S dan Edi K Dewi Liesnoor S Edi Kurniawan

“…The high level of flood risk that occurs in Semarang city, raises the level of anxiety in the community , so it needs to have integration in community disaster education . The purpose of this paper is to inform the public profile of the flood prone areas in the form of non-spatial data base ( behavior towards disaster , habits and aspirations of the community in the face of disaster), and a disaster for developing learning models in shaping the character of the community . …”
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Dual Graph for Traffic Forecasting by Long Wei, Zhengxu Yu, Zhongming Jin, Liang Xie, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

“…It is challenging due to the complex spatial-temporal correlation on road networks. Most existing research works use sequential Graph Neural Networks (GNN) to model traffic inference. …”
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Cropland encroachment on ecological land in Mainland Southeast Asia leads to massive carbon emissions by Danni Su, Kun Yang, Zongqi Peng, Run Sun, Mingfeng Zhang, Xiaofang Yang, Lusha Ma, Jingcong Ma

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Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives by Xiaoling Huang, Xiangyin Kong, Yan Yan, Zhiyuan Gao, Zihan Li, Chun Zhang, Kai Jin, Juan Ye

“…The pointwise mean absolute error across five models ranged from 3.098 to 4.131 dB. Heatmaps demonstrated the spatial relationship between fundus damage and vision loss. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…Furthermore, we integrate Local Interpretable Model-Agnostic Explanations (LIME) to make model predictions transparent, increasing trust and usability for practical deployment. …”
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Voxelwise distribution of acute ischemic stroke lesions in patients with newly diagnosed atrial fibrillation: Trigger of arrhythmia or only target of embolism? by Timolaos Rizos, Andreas J Bartsch, Timothy D Johnson, Felix Dittgen, Thomas E Nichols, Uwe Malzahn, Roland Veltkamp

“…Lesions were mapped and modeled voxelwise using Bayesian Spatial Generalised Linear Mixed Modeling to determine differences in infarct locations between stroke patients with new AF, without AF and with AF already known before the stroke.…”
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Preventing epileptogenesis by interaction between inositol isomers and proteins by Lia Tsverava, Luka Kharkhelauri, Vincenzo Lagani, Giorgi Gamkrelidze, Veriko Bokuchava, Tamar Kiguradze, Merab Kokaia, Revaz Solomonia

“…For the first time, we demonstrated that the treatment with SCI and DCHI, alongside MI, significantly reduces the frequency and duration of behavioral SRS in a KA‐induced post‐status epilepsy model in rats. This reduction persisted for 4 weeks post‐treatment. …”
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Methods and approaches of determining the boundaries of agglomerations (basic case Kharkiv region) by Kateryna Kravchenko, Kostiantyn Niemets, Kateryna Sehida, Lyudmyla Niemets, Olha Suptelo

“…Given that the Kharkiv agglomeration is monocentric, and within it, as in the region there is a sharp uneven development of the center and periphery, effective management and addressing the hypertrophied development of the city, spatial planning and infrastructure development will alleviate this situation and facilitate the transition of the region. to the polycentric model of spatial organization, respectively, and the reduction of territorial disparities in the level and quality of life of the population of the Kharkiv region.…”
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Non-compaction cardiomyopathy. Part I: clinical and genetic heterogeneity and predictors of unfavorable prognosis by T. G. Vaikhanskaya, L. N. Sivitskaya, T. V. Kurushko, T. V. Rusak, O. D. Levdansky, N. G. Danilenko, O. G. Davydenko

“…Multivariate regression provided a predictive model (R=0,90; R2=0,81; F (5,41) =34,8; p<0,0001) and independent predictors of adverse clinical outcomes of NCM (genetic cause of the disease (pathogenic mutation), LV systolic dysfunction, myocardial fibrosis in 2 or more ventricular segments, and QRS prolongation. …”
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Spatiotemporal patterns of end-of-life passenger vehicle resources in China by DUAN Linlin, SONG Lulu, ZHONG Fanglei, WANG Wanjun, HAO Min, JIAN Xiaomei, CHEN Weiqiang

“…[Methods] Using the Gompertz model and dynamic material flow analysis, this study constructed a predictive framework for passenger vehicle ownership and end-of-life volumes across China’s 4 municipalities and 333 prefecture-level administrative regions. …”
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gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation by Jinyang Zhang, Hongxin Ding, Hongxin Ding, Runchuan Zhu, Weibin Liao, Weibin Liao, Junfeng Zhao, Junfeng Zhao, Min Gao, Xiaoyun Zhang

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Nanoscale capacitance spectroscopy based on multifrequency electrostatic force microscopy by Pascal N. Rohrbeck, Lukas D. Cavar, Franjo Weber, Peter G. Reichel, Mara Niebling, Stefan A. L. Weber

“…Our results show a significant reduction of signal background from long-range electrostatic interactions, resulting in highly localized measurements. …”
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Periplasmic Protein Mobility for Extracellular Electron Transport in <i>Shewanella oneidensis</i> by Daobo Li, Xiaodan Zheng, Yonggang Yang, Meiying Xu

“…First, we established that crosslinking efficiency correlates with the spatial proximity and diffusion coefficient of protein molecules through in vitro tests. …”
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The Impacts of Micro‐Porosity and Mineralogical Texture on Fractured Rock Alteration by Qian Zhang, Yanhui Dong, Sergi Molins, Hang Deng

“…Considerations of surface roughness with characteristic length on the same order of magnitude as mineral texture did not change the overall development of AL, which further highlights the importance of accounting for rock matrix properties in predicting long‐term evolution of fractured media. The resulting spatial variations of ALs and their impacts on bulk properties, however, are expected to be further complicated by the coupling of chemical and mechanical processes, and may trigger matrix disaggregation, erosion and other mechanisms of fractured media alteration.…”
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