Accurate spatial estimation of rainfall is critical for hydrological modeling, water resource management, and agricultural planning---particularly in mountainous and semi-arid regions with sparse monitoring networks. This study presents an Enhanced Elevation-Weighted Local Regression (EWLR) model to...

Tumor-associated macrophages and extracellular matrix remodeling are important components shaping the microenvironment of hepatocellular carcinoma (HCC). This study examined whether forkhead box A2 (FOXA2) expression is associated with extracellular matrix (ECM)/stromal remodeling, focal adhesion ki...

To enable rapid, non-destructive analysis and functional classification of karst calcareous soils in Shilin County, Kunming, this study acquired mid-infrared attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectra in the 4000-900\cmi{} range from 409 soil samples. After standardiz...

Deepfake technology has advanced swiftly, enabling the rapid production of hyper-realistic synthetic media that pose considerable threats to digital security, privacy, military operations, and information integrity. This paper extensively examines visual intelligence and computer vision methodologie...

Unmanned Aerial Vehicles (UAVs) increasingly rely on wireless guidance and control links which are vulnerable to spoofing and false command injection attacks. Conventional protection mechanisms primarily rely on cryptographic authentication, which may not be sufficient under compromised or replay-ba...

We study a geometrically defined return map associated with domains in the class $\mathcal O_C$, where a fixed convex core $C\subset\mathbb R^N$ is linked to the outer boundary $\partial\Omega$ through outward normal rays and a thickness function $d:\partial C\to(0,\infty)$. The radial map $\Phi(c)=...

Data is one of the essential assets of every organisation, and its security has frequently been highlighted as a concern due to unauthorised access, breaches, and tampering. Conventional data repositories are often based on centralised setups, which are prone to problems such as single points of fai...

The exponential growth of machine learning applications in healthcare, finance, and cloud computing has raised significant data privacy concerns, as traditional encryption methods require access to decrypted data for processing, creating security vulnerabilities. Regulatory frameworks including the...

Open-field vegetable production in the cold plateau regions of Northwest China faces labor shortages, extensive management, meteorological risks, and inefficient use of agricultural inputs. Taking a 6.67 ha smart farm in Huangzhong District, Xining, Qinghai Province, China, as a case study, this stu...

Low-productivity agricultural belts in India face the compounding realities of land fragmentation, erratic weather, and heterogeneous soils, which together limit harvest outcomes. Precision agriculture and big data analytics together offer an innovative solution that turns large volumes of heterogen...