This paper presents an analysis of the strong coupling constant αs (q2) for π- mesons and protons produced in p+p interactions at 205 GeV/c. It is well known that the precise value of the cut parameter ΛQCD is instrumental in obtaining correct values of the strong coupling constant αs (q2). In this paper, we have attempted to determine the value of the cut parameter ΛQCD of αs (q2) . Our analysis showed that the square of the cut parameter Λ_QCD of the running coupling constant can be determined by the following formula, Λ2QCD=(cℏ)2 GeV2=0.0388 GeV2 or ΛQCD=√(0.0388 GeV2 )=0.197 GeV. The values of αs (q2) with this new cut parameter, as obtained in this paper, are compared with the corresponding LO QCD calculations and resultatively, a good agreement between the experimental results and theory was observed. Thus, the procedure used in this paper provides the possibility of obtaining the exact value of the cut parameter ΛQCD of the running coupling constant αs (q2).
This study focused on developing a biological control agent targeting Jacobson's spanworm (Erannis jacobsoni Djak.), a major forest pest in Mongolia. The aim of the research was to isolate and identify Bacillus thuringiensis strains capable of producing toxic crystal proteins, with the goal of contributing to biopesticide development. Samples were collected from dead insects showing symptoms of bacterial infection in order to isolate and screen bacterial strains with activity against Jacobson’s spanworm. Among them, isolate MNL 78-4 demonstrated the highest effectiveness, causing 100% mortality of target insects within 8 days. This result suggests that MNL 78-4 is a promising candidate for further development as a biological control agent for managing Jacobson’s spanworm in Mongolia. These findings indicate that eco-friendly microbial pesticides may provide a sustainable alternative to synthetic chemical insecticides, contributing to forest health, biodiversity conservation, and ecosystem balance.
This study explores the Bayesian analysis of Modified Logistic Lomax distribution. Markov Chain Monte Carlo (MCMC) is used for the parameter estimation using a real dataset. Convergence Diagnostics, Predictive performances and Inferential Survival Characteristics are analysed. The P-P and Q-Q plots, as well as the Posterior Survival plot and Hazard rate plots demonstrate excellent fitting of the distribution under Bayesian parameter estimations. The model demonstrated excellent convergence (R-hat < 1.01) and superior predictive accuracy (WAIC = 917.4). The 95% credible intervals for Mean Survival Time (128.52-137.20) practically supports the utility of this framework. This study contributes to the Bayesian literature on probability and inferential statistics as well as to the future researcher for analysing real data sets using Bayesian approaches. All the computational analysis of the study is performed using R-language programming.
The objectives of this work were to propagate plantlets of Scutellaria baicalensis Georgi, a rare medicinal plant in Mongolia, in vitro conditions, and to determine and compare their total phenolic content (TPC) and antioxidant activity with those of natural and cultivated plants. The seeds collected from Khentii aimag (province) were successfully germinated on half-strength MS medium supplemented with gibberellic acid (GA3), with the highest germination rate (16±0.8%) observed at 0.5 mg/L GA₃. Shoot regeneration occurred on hormone-free ½MS medium, while optimal root induction was achieved with 0.5 mg/L indole-3-butyric acid (IBA). Methanolic extracts of leaves and roots were analysed for their TPC using the Folin–Ciocalteu method and antioxidant activity using the DPPH radical scavenging assay. Plantlet leaves in vitro exhibited significantly higher TPC (88.7±1.5 mg/g GAE) compared to natural and cultivated plants, while roots in vitro also showed higher TPC (21±0.2 mg/g GAE) than their counterparts. Antioxidant activity was the highest in both natural and cultivated plant leaves and roots; however, leaves and roots from in vitro-propagated plantlets exhibited lower radical scavenging capacity, indicating comparable bioactivity. Overall, the results suggest that the initial in vitro regeneration protocol is effective for S.baicalensis propagation and the production of bioactive compounds.
This study presents a precise earthquake relocation along the Egiin Davaa fault in the Hangay Dome, Central Mongolia, using the double-difference algorithm (HypoDD). We analysed 289 events from a dense temporary deployment of 72 broadband seismic station network (2012–2014), resulting in a high-quality catalogue of 253 events. The relocation achieved a 38% reduction in mean RMS residuals (to 0.34 s) and significantly improved precision (0.36 km horizontal, 0.68 km vertical), effectively eliminating artificial depth clustering artifacts. Our results reveal a sharply defined, near-vertical (80–90° dip) fault plane extending approximately 80 km at depth, confirming the Egiin Davaa fault as a mature, active seismogenic structure. Relocated hypocentres are distributed between 2 and 30 km, with the primary seismogenic thickness constrained to the upper 20–25 km. Notably, localised deepening to 30 km occurs near the Tsenkher hot spring (Profile C-C’). We suggest that high-pressure hydrothermal fluid migration along the fault reduces effective normal stress, facilitating brittle failure in the lower crust despite elevated regional heat flow (70–90 mW/m²). This study provides the first high-resolution constraints on the Egiin Davaa fault geometry and its seismogenic potential. By identifying the brittle-ductile transition at 20-25 km and quantifying the magnitude of potential strong earthquake is Mw 7.2 and more, the research significantly elevates the understanding of seismic hazards in Central Mongolia.
