Decoding the Functional Interactome of Non-Model Organisms with PHILHARMONIC.

Protein-protein interaction (PPI) networks are a fundamental resource for modeling cellular and molecular function, and a large and sophisticated toolbox has been developed to leverage their structure and topological organization to predict the functional roles of under-studied genes, proteins, and pathways. However, the overwhelming majority of experimentally-determined interactions from which such networks are constructed come from a small number of well-studied model organisms. Indeed, most species lack even a single experimentally-determined interaction in these databases, much less a network to enable the analysis of cellular function, and methods for computational PPI prediction are too noisy to apply directly.

Assessing the economic and nutritional value of pollination services in Nepal.

Pollination is a key ecosystem service crucial for supporting agricultural production, economic growth, social inclusion, and environmental protection. Understanding the economic value of pollination and its impact on human health and nutrition is essential for effective pollinator conservation and management. This study evaluates the economic and nutritional value of pollination services in Nepal and quantifies historic changes in pollinator reliance.

Optimizing split-fertilizer applications for enhanced maize yield and nutrient use efficiency in Nigeria's Middle-belt.

Inadequate and imbalanced fertilizer application is a significant barrier to achieving higher maize yields in Nigeria's Middle Belt. This study hypothesized that optimizing fertilizer types and application rates, particularly through split applications of straight fertilizers, can significantly enhance maize yield and nutrient use efficiency compared to conventional NPK blends and farmer's practices. This experiment evaluated the effects of optimizing types and amounts of fertilizer on maize growth and yield, soil characteristics, and nutrient use efficiencies in the mid-belt region of Nigeria.

Approximate IsoRank for Scalable and Functionally Meaningful Cross-Species Alignments of Protein Interaction Networks.

The IsoRank algorithm of Singh, Xu, and Berger was a pioneering algorithmic advance that applied spectral methods to the problem of cross-species global alignment of biological networks. We develop a new IsoRank approximation that exploits the mathematical properties of IsoRank's linear system to solve the problem in quadratic time with respect to the maximum size of the two protein-protein interaction (PPI) networks. We further propose a refinement to this initial approximation so that the updated result is even closer to the original IsoRank formulation while remaining computationally inexpensive.

Multiple intra-abdominal splenosis with imaging correlative findings: A case report and review of literature.

We present a case of a 31-year-old male who presented to the emergency department with a history of abdominal pain localized to the lower abdomen. The patient had undergone splenectomy 2 years ago for splenic injury following a road traffic accident. Computerized tomography showed multiple well-defined, homogeneously enhancing soft tissue density nodules of varying sizes distributed throughout the abdomen and pelvis.