Philippines World News API

{
    "totalArticles": 111666,
    "articles": [
        {
            "id": "a3a36d8e244dc865822e95f478950a45",
            "title": "Impacts of the General Circulation Represented by the IOD on Maize Yield Anomalies in Zambia",
            "description": "Maize production in Zambia is highly sensitive to inter-annual climate variability during the austral summer growing season. Large-scale ocean-atmosphere circulation systems modulate moisture transport and convective activity across southern Africa. Among these systems, the Indian Ocean Dipole (IOD) plays a critical role in modulating moisture transport and precipitation patterns across Southern Africa. This study investigates the physical linkage between IOD-related general circulation and maize yield anomalies in Zambia. Using provincial Maize yield data (1993-2024), reanalysis data fields, and climatic suitability indices, we apply the Singular Value Decomposition method (SVD) to examine the coupled variability between the Indian Ocean Sea Surface temperature (SST) Anomalies and precipitation over Zambia. The results show that the leading SVD mode explains a dominant share of the covariance between SST and rainfall, indicating a strong coupling between Indian Ocean Variability and regional climate conditions. We trace a physically consistent pathway from the Indian Ocean’s Sea Surface temperature anomalies to atmospheric circulation and climatic suitability, and yield a response over the study area. The Singular Value Decomposition (SVD) shows that there is a temporal correlation coefficient (TCC) of 0.48 for 31 years at a 99% confidence level. The associated precipitation pattern reveals spatial contrasts in rainfall distribution across Zambia that correspond closely to Maize yield anomalies, with precipitation suitability emerging as the dominant climatic control among the three selected variables in the country. The precipitant suitability index acts as a primary modifier, while sunshine duration and temperature play a compensatory role, thereby completing the climatic suitability of the crop. The IOD-related circulation variability significantly influences agricultural productivity. Our findings emphasize the method of forecasting the maize yield in Southern Africa.",
            "content": "1. Introduction\nMaize is Zambia’s staple crop, accounting for more than half of the national calorie intake and occupying the largest cultivated land. Its productivity is strongly controlled by rainfall distribution, temperature, and total sunshine h... [12405 chars]",
            "url": "https://www.scirp.org/journal/paperinformation?paperid=150196",
            "image": "https://file.scirp.org/image/gep2025010716304140.png",
            "publishedAt": "2026-03-17T06:56:24Z",
            "lang": "en",
            "source": {
                "id": "48f641eab3fd1aa330e8db4cb1cfe74e",
                "name": "SCIRP Open Access",
                "url": "https://www.scirp.org"
            }
        },
        {
            "id": "ef6366e74f13586fd9d6549fa319e743",
            "title": "Based Spatial Null Model Framework for Evaluating Logarithmic Spiral Patterns in Point Sets",
            "description": "This study develops and applies a GIS-based spatial null model framework to evaluate whether observed point sets exhibit constrained logarithmic spiral patterns beyond what would be expected under spatial randomness and alternative structured configurations. We integrate exhaustive enumeration, Monte Carlo randomization, and constraint-preserving null ensembles within a GIS environment that explicitly limits geometric degrees of freedom to test multiple candidate geometric hypotheses. Spatial datasets of summit coordinates were prepared and analyzed as standardized GIS point layers to demonstrate practical implementation. Null models preserve varying degrees of spatial constraints to reflect alternative generative processes. The framework quantifies departures from each null distribution using robust pattern statistics, emphasizing reproducibility and transferability across spatial datasets. Results highlight the approach’s capacity to distinguish between random, constraint-driven, and highly structured spiral configurations in point patterns. This methodology operationalizes falsification-based spatial hypothesis testing in GIS research and offers a generalizable toolset for pattern analysis in geographic information systems.",
            "content": "1. Introduction\nDetecting and evaluating large-scale geometric structure in spatial point data is a recurring challenge in geographic information system (GIS) research. Apparent spatial regularities can emerge from visual perception, data sparsity, o... [35825 chars]",
            "url": "https://www.scirp.org/journal/paperinformation?paperid=150188",
            "image": "https://file.scirp.org/image/jgis2024061315263365.png",
            "publishedAt": "2026-03-17T05:56:21Z",
            "lang": "en",
            "source": {
                "id": "48f641eab3fd1aa330e8db4cb1cfe74e",
                "name": "SCIRP Open Access",
                "url": "https://www.scirp.org"
            }
        },
        {
            "id": "2fe28c57f61335de19772a21d45bca91",
            "title": "EU sanctions Chinese, Iranian companies for cyber attacks",
            "description": "The European Union imposes sanctions on China-based Integrity Technology Group and Anxun Information Technology, and Iranian company Emennet Pasargad",
            "content": "The European Union on Monday, March 16, imposed sanctions against two China-based and one Iranian company for cyber attacks against EU member states.\nThe EU listed China-based Integrity Technology Group and Anxun Information Technology, and Iranian c... [559 chars]",
            "url": "https://www.rappler.com/technology/european-union-sanctions-china-iran-companies-cyber-attacks/",
            "image": "https://www.rappler.com/tachyon/2026/03/EU-CYBERATTACKS-MARCH-17-2026.jpg",
            "publishedAt": "2026-03-17T04:18:21Z",
            "lang": "en",
            "source": {
                "id": "176186adfdf118f71c93c9de9e0f0d09",
                "name": "Rappler",
                "url": "https://www.rappler.com"
            }
        }
    ]
}