Divisions La Sierra University (La Sierra or LSU) is a private, Seventh-day Adventist university in Riverside, California. Founded in 1922 as La Sierra Academy, it later became La Sierra College, a liberal arts college, and then was merged into Loma Linda University (LLU) in 1967 and became the La Sierra Campus of LLU. In 1990, the La Sierra Campus separated from Loma Linda University to become La Sierra University, an independent institution. It is accredited by the WASC Senior College and University Commission (WSCUC), the Adventist Accrediting Association (AAA), and several discipline-based accrediting bodies.Since becoming independent in 1990, La Sierra University has won multiple national and world titles in the Enactus (formerly Students in Free Enterprise) competition. In the late 2000s and early 2010s, controversy arose involving the teaching of evolution in La Sierra's science curriculum. La Sierra was founded in 1922 when the Southeastern California Conference, one of the regional governing bodies of the Adventist church, obtained 300 acres (120 ha) of land in an unincorporated area of Riverside County from Willits J. Hole. The land was once a part of a large Mexican land grant named Rancho La Sierra, giving La Sierra its current name.
The examination of molecular markers confirms hidden diversity and reveals a new species within the Nyctixalus pictus (Peters, 1871) complex. Three genetically distinct clades were recovered: one from the Thai-Malay Peninsula; one from Sumatra, Indonesia; and one from Sarawak, Borneo, East Malaysia. Voucher specimens from each region were compared, and significantly different mean values were found through morphological analyses. The populations also differ significantly in morphospace, as determined by PCA, DAPC, and MFA analyses. The Thai-Malay Peninsula individuals have a distinct, rounded and slightly elongated snout shape compared to the other two clades. Based on these combined data, these three clades are recognized as distinct species. The name N. anodon is reinstated for those from Sumatra, Indonesia. The type locality of Sarawak, East Malaysia for N. pictus restricts the distribution of the species to Borneo. The type specimen of N. pictus was lost (pers. communication, G. Doria), and no lectotype or syntypes were described; thus, a specimen from Sarawak, Borneo, in the collection of the Field Museum of Natural History, Chicago (FMNH), is designated here as the neotype of N. pictus.
The combination of AI and multi-omics has ushered in a new, revolutionary era in disease diagnosis and precision medicine. This review aims to summarize the current status of the artificial intelligence (AI)-based multi-omics diagnostic workflows employed in three disease paradigms: infectious, neurodegenerative, and metabolic diseases, and critically evaluate their translational potential from the discovery of biomarkers to digital twin healthcare systems. Machine Learning (ML) and Deep Learning (DL) algorithms, as well as Explainable Artificial Intelligence (XAI) algorithms, are explored for their application in linking genomics, transcriptomics, proteomics, metabolomics, and microbiomics datasets to enable high-dimensional molecular phenotyping. Harmonisation strategies for multi-omics data, AI driven feature selection, molecular pathway elucidation using graph neural networks (GNNs) and transformer architectures, and the development of digital twin models for personalised, dynamic health simulation are among the key themes. We delve deeper into the regulatory, ethical, and equity issues arising from the deployment of AI-omics systems across heterogeneous clinical settings. The review ends with a strategy for integrating validated AI-omics pipelines into the next-generation precision therapeutics and global health infrastructure.
Network Traffic Classification (NTC) is fundamental to network management, service differentiation, and performance optimization. However, most existing studies rely on offline datasets or controlled simulations, limiting their applicability to real operational environments. This paper presents a deployable end-to-end NTC platform designed for continuous monitoring of live network traffic. The system operates as an edge-side passive probe that captures Ethernet traffic non-intrusively using TShark and extracts $\mathbf{2 8}$-dimensional statistical flow features within sliding observation windows. To support real-time classification, we introduce a Per-Feature Normalized Mean Square Error (PFNMSE) metric that normalizes feature-wise deviations between live samples and a pre-built application feature library. Each incoming flow is categorized by identifying the library entry with the smallest PF-NMSE score. Experiments on real network sessions demonstrate that the proposed PF-NMSE-based classifier accurately recognizes application types and streaming resolutions under varying bandwidth conditions, achieving an average accuracy of 97%. The platform can be directly deployed in operational networks and serves as a practical solution for continuous traffic monitoring and application-level behavior analysis.
We describe a new species, Gekko mosaicus sp. nov., from Yuanjiang, Yunnan, China, based on combined morphological and molecular evidence. Phylogenetic analyses of mitochondrial 16S and ND2 genes recover the Yuanjiang population as a well-supported, independently evolving lineage within subgenus Japonigekko, although the deeper relationships remain uncertain because of low nodal support. Morphologically, the new species most closely resembles G. alpinus, G. jinjiangensis, and G. scabridus, but can be distinguished from all other congeners by its moderate body size, presence of conical tubercles on the head, body, and limbs, 17-19 continuous precloacal pores in males, and a distinctive dorsal pattern of dense black and white speckles. Ecologically, it inhabits humid monsoon evergreen broadleaf forests of the Yuanjiang River Basin, contrasting with the habitats of the three morphologically similar species mentioned above. The discovery of the new species increases the number of species in Japonigekko to 41, including 27 in China, and recent discoveries across southwestern China suggest that the diversity of this subgenus remains underestimated.
Hemiphyllodactylus Bleeker is a complex taxon characterized by species with small body sizes, low population densities, inconspicuous morphologies, cryptic coloration, and overall difficulty of detection within their native ecosystems. The genus is one of the most diverse and fastest growing gekkonid genera — as of 2025, a total of 69 species have been described. Most species within this genus are endemic to restricted regions, whereas Hemiphyllodactylus typus Bleeker, 1860 has a remarkably broad distribution, ranging from the Indian Ocean to the Pacific Ocean. Previously, H. typus had been recorded in Vietnam by René Bourret under the name H. typus chapaensis from Sapa, Lao Cai. However, a subsequent study by George R. Zug identified this specimen as H. yunnanensis (Boulenger, 1903). Another instance of H. typus in Vietnam has been recorded, inferred solely from molecular analysis. Nevertheless, we re-examined the sequence of this specimen and confirmed that it does not belong to species H. typus. Our surveys in Can Gio Mangrove Biosphere Reserve, Ho Chi Minh City and My Phuoc's Melaleuca Forest, Can Tho City, Vietnam recovered specimens that, following both morphological and molecular analyses using the NADH dehydrogenase subunit 2 gene (ND2), are conclusively identified as H. typus. Thus, this study confirms the occurrence of H. typus in Vietnam for the first time. Additionally, we established DNA barcoding based on the cytochrome c subunit 1 gene (COI) to support identification and conservation management of biodiversity and discuss the potential for range expansion of this species within Vietnam, as well as hypotheses regarding its possible unisexual reproduction.
