The National University of Mongolia (Mongolian: Монгол Улсын Их Сургууль, Mongol Ulsyn Ikh Surguuli, abbreviated NUM or MUIS) is a public university primarily located in Ulaanbaatar, Mongolia. Established in 1942, it is the oldest institution of higher learning in Mongolia, and originally named in honour of Khorloogiin Choibalsan as Choibalsan State University. It hosts 5 main faculties in Ulaanbaatar, two branches (in Uliastai, Zavkhan Province and Erdenet, Orkhon Province), and three academies of national importance (Mongol studies, economics, and sustainable development).After the establishment of the Mongolian People's Republic and its first modern secondary school in 1921, it was deemed necessary to establish an academic institution at a higher level. In 1942, the government established the National University of Mongolia as Mongolia's first university, with the first students graduating in 1946. During socialism, the University served as a training center for the party elite. Education was paid for and strictly controlled by the state. After democratization, it gradually changed into a more modern university. In 1995, it started to offer bachelors, masters, and doctoral programs.It holds a distinguished place in Mongolia's modern history, serving as both its first university as well as a parent to many of the country's premier universities. Many of the country's higher education institutions can trace their ancestry back to the National University of Mongolia's faculties and sub-institutes, including the University of Science and Technology, University of Life Sciences, University of Medical Sciences, and the University of the Humanities.As of 2018, there were over 18,000 students enrolled in various programs, mostly taught in Mongolian.
Mongolia hosts about three thousand lakes across arid and semi-arid continental interiors, where tectonic, climatic, and ecological diversity makes lacustrine systems sensitive archives of Late Quaternary to modern environmental change. Located at the intersection of the mid-latitude westerlies, the East Asian summer monsoon, and the Siberian High, Mongolian lakes record spatially heterogeneous responses to climate forcing, basin evolution, and cryospheric dynamics. Since the early 1990s, lake-based research in Mongolia has expanded substantially; however, a nationally integrated synthesis linking geological timescales, basin controls, and the evolution of research themes has remained limited. Here we review 214 lake-related studies published between 1990 and 2025, classified by publication year, study region, research focus, author nationality, and journal–publisher structure in order to evaluate how Mongolian lake research has developed and become increasingly integrated into the international scientific literature. This classification also provides insight into the evolution of publication outlets and language transitions within global lake research. The synthesis reveals strong regional contrasts in lake evolution, reflecting interactions among tectonic processes, hydroclimatic variability, and cryospheric change. Over time, research has shifted from climate-driven lake-level reconstructions toward multi-proxy interpretations supported by improved chronological frameworks and remote-sensing observations. Future research will benefit from integrating high-resolution sediment archives, improved chronological frameworks, and long-term hydrological monitoring. Important knowledge gaps remain in desert and steppe lake basins of eastern and southern Mongolia, where sedimentary records and coupled climate–human impacts remain comparatively underexplored. The synthesis also highlights key knowledge gaps and emerging research priorities for future lake-based Quaternary studies in Mongolia.
Potentilla sensu lato, a taxonomically complex genus within the Rosaceae, comprises approximately 300 taxa worldwide. Thirteen taxa, each restricted to limited localities, are currently recognized as endemic to the Mongolian flora. Therefore, the conservation of Potentilla faces significant challenges due to habitat loss caused by climate change and overharvesting. In this study, we explore the phylogenetic relationships and local evolutionary patterns of five endemic Potentilla species in Mongolia based on their complete chloroplast genomes. We utilized high-throughput sequencing of complete chloroplast genomes and conducted comparative analyses. The complete chloroplast genomes ranged from 156,273 to 156,395 bp long and exhibited a typical quadripartite structure. Genome annotation revealed 113 unique genes, including 79 protein-coding genes, 30 tRNA genes, and four rRNA genes. Two intergenic regions (ndhF–rpl32 and rpl32–trnL) in the SSC region showed markedly high diversity among chloroplast genomes. Analysis of selection signatures identified two genes (rpoC1 and ycf1) under positive selection. These genes may play important roles in the adaptation of these species to specific geographical environments. Phylogenetic analysis placed all five newly sequenced species within the Argentea clade, and divergence time estimation indicated that diversification within this clade occurred from the late Miocene to the Pleistocene. This study provides valuable genomic resources for endemic Potentilla species in Mongolia, offers insights into their evolutionary history, and lays a foundation for future phylogenetic research and molecular marker development. Furthermore, this study fills a geographic gap in chloroplast genomes sampling of Potentilla in Central Asia.
Citizen science – collaboration between scientists and the public – has the potential to advance biodiversity monitoring. Using a case study from Mongolia, called the Flora of Mongolia project in iNaturalist, we illustrate how crowd-sourced biodiversity data fills gaps of plant diversity in Mongolia. Over 52,200 observations covering 2,241 species of vascular plants (ca. 3,050 species) were observed by 665 participants between 2019 and 2023, showcasing the vast potential for rapid biodiversity inventories. This case study, from an under-resourced region, illustrates the potential role of citizen science, and iNaturalist, in future biodiversity monitoring efforts. At a time of alarming biodiversity loss, biodiversity monitoring is crucial. Yet, funding for such monitoring is difficult to attain, leading to data gaps of baseline biodiversity information in regions of the world that are often the most threatened. In Mongolia, there are limited resources for finding wild photos and distribution points of vascular plant species. Therefore, we established the Flora of Mongolia project in iNaturalist in January 2019 to fill the gap of quantifying the country's plant diversity. Over the course of five years, 665 participants have contributed 52,286 observations belonging to 2,241 species. To date, participants have already observed 69% of the estimated total vascular plant species (ca. 3,050 species) in Mongolia including numerous threatened and endemic species. The total number of observations in iNaturalist is now higher than both herbarium records from GBIF and FloraGREIF for Mongolia, showcasing the potential of crowd-sourcing data. The majority of species and observation numbers were observed in the western and central parts of Mongolia. This iNaturalist project is significantly expanding the capacity for data collection and analysis of vascular plants, highlighting the important role that customized iNaturalist projects can have in biodiversity data generation. As citizen science data collections continue to grow, we can expect them to play a significant role in further improving our knowledge of plant diversity, monitoring invasive species, and quantifying the impacts of climate change on rare and threatened plants.
Quantum state engineering operating with photons is a key enabler of major scientific breakthroughs and future quantum technologies. Its primary obstacle, however, is decoherence often caused by spontaneous emission, which is inherently difficult to control. In contrast, superradiance offers a more controllable alternative. The temporal dynamics of superradiance can be tuned via external experimental parameters, unlike those of spontaneous emission. Incorporating superradiance into quantum state engineering could therefore provide more accessible control over quantum systems. Motivated by this, we present a theoretical model for an ensemble of atoms in a V-type three-level configuration. The system successively emits a pair of superradiance pulses, effectively synthesizing the dynamically decoupled sub-ensembles into a single macroscopic ensemble involving all atoms. To our knowledge, this process, which we term superradiant synthesis, is demonstrated here for the first time. These findings offer new insights for practical quantum state engineering, particularly in enabling syntheses of macroscopic quantum sub-systems.
We study vector-valued affine refinement operators of the form [ (Wγ)(t)=∑_j∈ℤ A_jγ(Mt-j)+B(t), ] with finitely supported matrix mask and compactly supported continuous piecewise linear input and forcing data. Building on the homogeneous realization theorem for (B≡0), we prove that, for (M≥3), every finite affine iterate (W^nγ) admits an exact fixed-width ReLU realization whose depth is (O(n)). The main new ingredient is a residual memory controller. It replaces the noninvertible residual dynamics by an injective skew-product and permits exact backward replay of the residual states required by a Horner-type evaluation of the affine forcing sum. Offset frames align the forcing atoms away from residual seams, allowing complementary loop readouts to recover their values exactly. The remaining branch-selection ambiguity occurs only where the accumulated affine state has already vanished. For (M≥3), the result applies to arbitrary compactly supported continuous piecewise linear forcing terms. For (M=2), the same construction applies to ordinary-frame seam-separated forcing. We also prove a stage-dependent extension for forcing terms in a fixed finite-dimensional continuous piecewise linear span and record the resulting linear-depth upgrade for open-curve, finite-state, and Hilbert- and Morton-type recursive constructions.
