FORECASTING MONTHLY RAINFALL IN PANGKEP REGENCY USING STATISTICAL DOWNSCALING MODEL WITH ROBUST PRINCIPAL COMPONENT REGRESSION TECHNIQUE by Sitti Sahriman, Anisa Anisa

“…A General Circulation Model (GCM) is a global climate model commonly used to predict local-scale climate patterns. However, the spatial resolution of GCMs is typically on a global scale, which is inadequate for predicting local climate. …”
Get full text

Modeling the Hydrological Process of the Genale Dawa-3 Dam Watershed, Ethiopia by Ashenafi Dechasa, Wakjira T. Dibaba, Alemu O. Aga, Mezgebu Geme Worku, Miliyon Dida Feye, Firaol Bedada Kopesa, Bekele Terefe Gebisa, Brook Legese, Amare Tura Abate

“…The study estimated the total water potential of the watershed to be 2.45 BMC. Notable spatial heterogeneity in water balance components was observed across subwatersheds, attributable to variations in pedological characteristics, land use/land cover patterns, topographical features, and precipitation distribution. …”
Get full text

MySTOCKS: Multi-Modal Yield eSTimation System of in-prOmotion Commercial Key-ProductS by Cettina Giaconia, Aziz Chamas

“…Additionally, MySTOCKS integrates Elastic Weight Consolidation (EWC) to mitigate the effects of catastrophic forgetting, thus enhancing predictive accuracy amidst changing data patterns. Preliminary results indicate high system performance, with test accuracy, sensitivity, and specificity rates approximating 93.8%. …”
Get full text

Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models by Dan Ding, Yuting Wu, Tianzhen Wu, Chuangang Gong

Get full text

Leaves and Tree Rings as Biomonitoring Archives of Atmospheric Mercury Deposition: An Ecophysiological Perspective by Fabrizio Monaci, Davide Baroni

“…This perturbation profoundly affects global atmospheric Hg concentrations, residence times, and spatial distribution patterns. While early investigations focused on forest stands near heavily polluted areas, contemporary research has expanded to diverse ecosystems, revealing that trees provide tissues that function as temporal archives for atmospheric-terrestrial Hg exchange. …”
Get full text

Advancing Soil Erosion Quantification in the Yamuna River Subbasin Through GEE and Empirical Models for Sustainable Development by Swapnil Kumar Sharma, H. K. Pandey, Keval H. Jodhani, Nitesh Gupta, Sanidhya Dadia, Sudhir Kumar Singh, Upaka Rathnayake

“…The analysis employs multisource remote sensing datasets and spectral indices within the GEE platform to derive soil erosion parameters and map spatiotemporal degradation patterns. Results indicate that rainfall erosivity (R-factor) values range from 5 to 90 MJ mm ha−1 h−1 yr−1, with higher values concentrated in the southwestern region. …”
Get full text

Physiological signal-based mental stress detection using hybrid deep learning models by Nandini Modi, Yogesh Kumar, Kapil Mehta, Neelam Chaplot

“…These spectrograms are then processed by CNN layers to extract spatial patterns, followed by MLP layers for mental stress state classification. …”
Get full text

Cenozoic epeirogeny of the Arabian Peninsula from drainage modeling by J. W. P. Wilson, G. G. Roberts, M. J. Hoggard, N. J. White

“…Despite these significant advances, the spatial and temporal uplift rate history of the Arabian Peninsula is not well known. …”
Get full text

Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course. by James A Hay, Huachen Zhu, Chao Qiang Jiang, Kin On Kwok, Ruiyin Shen, Adam Kucharski, Bingyi Yang, Jonathan M Read, Justin Lessler, Derek A T Cummings, Steven Riley

“…These estimated infection histories allowed us to reconstruct historical seasonal influenza patterns in humans and to investigate how influenza incidence varies over time, space, and age in this population. …”
Get full text

Maritime Risk Assessment: A Cutting-Edge Hybrid Model Integrating Automated Machine Learning and Deep Learning with Hydrodynamic and Monte Carlo Simulations by Egemen Ander Balas, Can Elmar Balas

“…The model was applied to İzmit Bay (in Türkiye), a highly jammed maritime area with dense traffic patterns, providing a complete methodology to evaluate and rank risk factors. …”
Get full text

Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
Get full text

An Emphasis on the Role of Long Non-Coding RNAs in Viral Gene Expression, Pathogenesis, and Innate Immunity in Viral Chicken Diseases by Anindita Sarma, Parul Suri, Megan Justice, Raja Angamuthu, Samuel Pushparaj

“…Understanding these interactions may provide valuable insights into the spatial and temporal regulation of lncRNAs, aid in the identification of potential drug targets, and reveal the expression patterns of lncRNA and coding gene transcripts in response to different viral infections in avian species.…”
Get full text

Multi-modal Travel Simulation and Travel Behavior Analysis: Case Study in Shanghai by Yue Hu, Chao Yang, Kay W Axhausen

“…Understanding these travel patterns is essential for optimizing transportation planning and effectively addressing peak-hour travel demand. …”
Get full text

More than just visits: Timing, frequency, and determinants of effective antenatal care in Bangladesh - BDHS 2007 to 2017-18. by Md Hasibul Islam Jitu, Awan Afiaz, Raaj Kishore Biswas

“…Geospatial mapping was employed to visualize spatial patterns, followed by survey-weighted logistic regression to identify risk factors associated with late initiation of ANC and low ANC visit frequency. …”
Get full text

Urban Wind Field Effects on the Flight Dynamics of Fixed-Wing Drones by Zack Krawczyk, Rohit K. S. S. Vuppala, Ryan Paul, Kursat Kara

“…Urban wind, and particularly turbulence present in the roughness zone near structures, poses a critical challenge for next-generation drones. Complex flow patterns induced by large buildings produce significant disturbances that the vehicle must reject at low altitudes. …”
Get full text

Otolith chemical fingerprints of skipjack tuna (Katsuwonus pelamis) in the Indian Ocean: First insights into stock structure delineation. by Iraide Artetxe-Arrate, Igaratza Fraile, Jessica Farley, Audrey M Darnaude, Naomi Clear, Naiara Rodríguez-Ezpeleta, David L Dettman, Christophe Pécheyran, Iñigo Krug, Anaïs Médieu, Mohamed Ahusan, Craig Proctor, Asep Priatna, Pratiwi Lestari, Campbell Davies, Francis Marsac, Hilario Murua

“…The chemical composition of otoliths (earbones) can provide valuable information about stock structure and connectivity patterns among marine fish. For that, chemical signatures must be sufficiently distinct to allow accurate classification of an unknown fish to their area of origin. …”
Get full text

Advanced methods for geological interpretation of depositional environments and lithofacies: insights into hydrocarbon potential in the northern Norwegian North Sea by Ali Al Janabi, Camelia C. Knapp, Ziyad Albesher

“…Eleven stratigraphic cross-sections were constructed in both dip and strike directions to analyze vertical stacking patterns, depositional environments, and key stratigraphic surfaces such as sequence boundary and maximum flooding surface. …”
Get full text

The Construction of Identities in Space Inversion (the Case of Blagoveshensk and Chei-Che) by I. Y. Okunev, D. V. Basova, M. I. Tislenko

“…The authors make a conclusion that Blagoveshensk and Chei-Che have two different patterns of space identities determined by official discourse and ordinary perception.…”
Get full text

DBSCAN-PCA-INFORMER-Based Droplet Motion Time Prediction Model for Digital Microfluidic Systems by Zhijie Luo, Bin Zhao, Wenjin Liu, Jianhua Zheng, Wenwen Chen

“…As chip usage frequency rises, device degradation introduces seasonal and trend patterns in droplet motion time data, complicating predictive modeling. …”
Get full text

Behavioral endpoints and generational effects in Daphnia magna upon short- and long-term exposure and their use as additional endpoint in ecotoxicological risk assessment by Vanessa F. Saalmann, Kirsten Germing, Benedikt Ringbeck, Lena A. Kosak, Elke Eilebrecht

“…The investigated endpoints were locomotor activity, spatial orientation and predator avoidance behavior. …”
Get full text