Humibacter ginsengiterrae sp. nov., and Humibacter ginsengisoli sp. nov., isolated from soil of a ginseng field

Two novel Gram-staining-positive bacteria, designated DCY60T and DCY90T, were isolated from soil of a ginseng field in the Republic of Korea. 16S rRNA gene sequence comparisons showed the two novel strains were closely related to members of the genus Humibacter with greatest similarity to Humibacter antri KCTC 33009T (98.8 and 98.4 % for DCY60T and DCY90T, respectively). The predominant menaquinones present were MK-11 and MK-12. The major fatty acids were anteiso-C17 : 0 and summed feature 8 containing C18 : 1ω7c and/or C18 : 1ω6c. The DNA G+C contents of strains DCY60T and DCY90T were 62.8 and 66.8 mol%, respectively. The peptidoglycan of both strains contained the amino acids ornithine, 2,4-diaminobutyric acid, alanine, glutamic acid and glycine. The cell-wall sugars of strain DCY60T comprised glucose, galactose, rhamnose and xylose, while strain DCY90T contained glucose, galactose, rhamnose and ribose. The major polar lipids of both strains were phosphatidylglycerol, an unidentified glycolipid, and an unknown phospholipid. On the basis of the phenotypic analysis strains DCY60T and DCY90T represent novel species of the genus Humibacter, for which names Humibacter ginsengiterrae sp. nov. (type strain DCY60T = KCTC 33520T = JCM 30079T) and Humibacter ginsengisoli sp. nov. (type strain DCY90T = KCTC 33521T = JCM 30080T) are proposed

Burkholderia ginsengiterrae sp. nov. and Burkholderia panaciterrae sp. nov., antagonistic bacteria against root rot pathogen Cylindrocarpon destructans, isolated from ginseng soil

Strain DCY85T and DCY85-1T, isolated from rhizosphere of ginseng, were rod-shaped, Gram-reaction-negative, strictly aerobic, catalase positive and oxidase negative. 16S rRNA gene sequence analysis revealed that strain DCY85T as well as DCY85-1T belonged to the genus Burkholderia and were closely related to Burkholderia fungorum KACC 12023T (98.1 and 98.0 % similarity, respectively). The major polar lipids of strain DCY85T and DCY85-1T were phosphatidylethanolamine, one unidentified aminolipid and two unidentified phospholipids. The major fatty acids of both strains are C16:0, C18:1ω7c and summed feature 3 (C16:1ω6c and/or C16:1ω7c). The predominant isoprenoid quinone of each strain DCY85T and DCY85-1T was ubiquinone (Q-8) and the G+C content of their genomic DNA was 66.0 and 59.4 mol%, respectively, which fulfill the characteristic range of the genus Burkholderia. The polyamine content of both DCY85T and DCY85-1T was putrescine. Although both DCY85T and DCY85-1T have highly similar 16S rRNA and identical RecA and gyrB sequences, they show differences in phenotypic and chemotaxonomic characteristics. DNA–DNA hybridization results proved the consideration of both strains as two different species. Based on the results from our polyphasic characterization, strain DCY85T and DCY85-1T are considered novel Burkholderia species for which the name Burkholderia ginsengiterrae sp. nov and Burkholderiapanaciterrae sp. nov are, respectively, proposed. An emended description of those strains is also proposed. DCY85T and DCY85-1T showed antagonistic activity against the common root rot pathogen of ginseng, Cylindrocarpon destructans. The proposed type strains are DCY85T (KCTC 42054T = JCM 19888T) and DCY85-1T (KCTC 42055T = JCM 19889T)

Machine Learning Models for Inferring the Axial Strength in Short Concrete-Filled Steel Tube Columns Infilled with Various Strength Concrete

Concrete-filled steel tube (CFST) columns are used in the construction industry because of their high strength, ductility, stiffness, and fire resistance. This paper developed machine learning techniques for inferring the axial strength in short CFST columns infilled with various strength concrete. Additive Random Forests (ARF) and Artificial Neural Networks (ANNs) models were developed and tested using large experimental data. These data-driven models enable us to infer the axial strength in CFST columns based on the diameter, the tube thickness, the steel yield stress, concrete strength, column length, and diameter/tube thickness. The analytical results showed that the ARF obtained high accuracy with the 6.39% in mean absolute percentage error (MAPE) and 211.31 kN in mean absolute error (MAE). The ARF outperformed significantly the ANNs with an improvement rate at 84.1% in MAPE and 65.4% in MAE. In comparison with the design codes such as EC4 and AISC, the ARF improved the predictive accuracy with 36.9% in MAPE and 22.3% in MAE. The comparison results confirmed that the ARF was the most effective machine learning model among the investigated approaches. As a contribution, this study proposed a machine learning model for accurately inferring the axial strength in short CFST columns

Speed profile optimization of an electrified train in Cat Linh-Ha Dong metro line based on pontryagin's maximum principle

An urban railway is a complex technical system that consumes large amounts of energy, but this means of transportation still has been obtained more and more popularity in densely populated cities because of its features of high-capacity transportation capability, high speed, security, punctuality, lower emission, reduction of traffic congestion. The improved energy consumption and environment are two of the main objectives for future transportation. Electrified trains can meet these objectives by the recuperation and reuse of regenerative braking energy and by the energy - efficient operation. Two methods are to enhance energy efficiency: one is to improve technology (e.g., using energy storage system, reversible or active substations to recuperate regenerative braking energy, replacing traction electric motors  by energy-efficient traction system as permanent magnet electrical motors; train's mass reduction by lightweight material mass...); the other is to improve operational procedures (e.g. energy efficient driving including: eco-driving; speed profile optimization; Driving Advice System (DAS); Automatic Train Operation (ATO); traffic management optimization...). Among a lot of above solutions for saving energy, which one is suitable for current conditions of metro lines in Vietnam. The paper proposes the optimization method based on Pontryagin's Maximum Principle (PMP) to find the optimal speed profile for electrified train of Cat Linh-Ha Dong metro line, Vietnam in an effort to minimize the train operation energy consumption

Data Structure Model on the Quality of Public Passenger Transport Services by Bus in Vietnam

The system of managing public passenger transport services (PPTS) by bus is a complex system, involving infrastructure, facilities, management and service communication activities between passengers and transport systems. In particular, quality information is the most important factor, providing necessary data for analysis, setting out measures to improve quality to meet the needs of passengers and meet the requirements of related parties. According to the peculiarity of the service, this study selects a database structure model to guide the process of computerizing the management of quality of PPTS by bus in urban areas in Vietnam. The results show that four database systems reflecting the quality information of the infrastructure, means of transport, transport operation and passenger service and each database system is structured by components that ensure proper implementation of QM process according to the continuous quality improvement cycle. The components of each database system are dispersed according to the scope of management to ensure the consistency for the quality management process and facilitate the collection, processing and distribution of information of related parties. Keywords: Quality, transport services, public passengers, Vietnam. DOI: 10.7176/JESD/10-10-13 Publication date:May 31st 201

Innovations in kidney stone management: mini-PCNL for staghorn calculi in resource-limited settings

IntroductionThis study evaluates our initial experience with miniaturized percutaneous nephrolithotomy (mini-PCNL) in Vietnamese patients with staghorn calculi, using an 18F metal access sheath. This technique addresses the challenges of complex kidney stone management in resource-limited settings.MethodsA multi-center retrospective review of 236 patients with staghorn calculi who underwent mini-PCNL with high-power Ho laser lithotripsy (Lumenis 100 W) was conducted at four provincial hospitals in northern Vietnam from January 2020 to December 2023.ResultsAmong the 236 patients (mean age 54.88 years), 13.56% had prior open surgery, and 3.81% had previous PCNL. Presenting symptoms included flank/back pain (97.88%), acute renal colic (11.44%), and dysuria (5.93%). Right-sided stones were present in 55.93%, left-sided in 32.63%, and bilateral in 11.44%. The mean stone size was 28.05 mm, with 53.81% having stones of 20–30 mm, 38.56% over 30 mm, and 7.63% under 20 mm. Single stones were noted in 69.07%, while 30.93% had multiple stones. The mean stone surface area was 318.17 mm². Hydronephrosis was observed in 53.81% (grade-1: 32.64%; grade-2: 17.37%; grade-3: 3.81%). Postoperative complications included bleeding (13.14%), fever (9.75%), and reoperation or JJ stent placement (1.69%). Stone clearance rates were 67.37% at three days and 80.91% after one month. The mean durations for ureteral catheterization, postoperative hospitalization, and total hospital stay were 3.29, 6.94, and 12.90 days, respectively.ConclusionsMini-PCNL with high-power Ho laser lithotripsy demonstrates safety and efficacy in managing staghorn calculi, achieving favorable stone clearance and recovery outcomes. This approach offers a viable, cost-effective solution for enhancing access to advanced urological care in resource-constrained environments

Determine train load and speed based on dynamic displacement results

The load and operational speed of trains on railway bridges play a significant role. In the context of increasing demand for rail transport, accurately determining these parameters not only helps ensure safety but also brings economic benefits and optimizes system efficiency. This research aims to determine the load and speed of trains based on dynamic displacement results obtained from sensors installed on railway bridges. The study was applied on a real urban railway bridge. The dynamic displacement data of the railway bridge under the influence of passing trains is collected using high-sensitivity LVDT sensors. By applying finite element models (FEM) and real-time displacement data analysis combined with optimization algorithms, the estimation of train load and speed is performed. The analysis results show that the estimated load and speed values are relatively accurate compared to reality. This method helps to accurately monitor and manage train load and speed. The research findings will contribute to improving safety, operational efficiency, and provide a solid scientific foundation for enhancing the railway transportation system

Determine train load and speed based on dynamic displacement results

The load and operational speed of trains on railway bridges play a significant role. In the context of increasing demand for rail transport, accurately determining these parameters not only helps ensure safety but also brings economic benefits and optimizes system efficiency. This research aims to determine the load and speed of trains based on dynamic displacement results obtained from sensors installed on railway bridges. The study was applied on a real urban railway bridge. The dynamic displacement data of the railway bridge under the influence of passing trains is collected using high-sensitivity LVDT sensors. By applying finite element models (FEM) and real-time displacement data analysis combined with optimization algorithms, the estimation of train load and speed is performed. The analysis results show that the estimated load and speed values are relatively accurate compared to reality. This method helps to accurately monitor and manage train load and speed. The research findings will contribute to improving safety, operational efficiency, and provide a solid scientific foundation for enhancing the railway transportation system

Analytically controlling laser-induced electron phase in sub-cycle motion

Precise control of the electron phase accumulated during its sub-cycle motion within intense laser fields is essential in strong-field physics, yet remains mostly indirect and complicated so far. In this Letter, we develop a novel approach to control this sub-cycle electron phase by tuning a low-frequency electric field applied on a centrosymmetric gaseous target during its interaction with a few-cycle infrared laser pulse. Our method is based on a universal analytical relation between the low-frequency electric field and its induced harmonic frequency shift, derived by the strong-field approximation. This simple relation and its universality are confirmed numerically by directly solving the time-dependent Schr\"odinger equation. Moreover, we discuss the benefits of the discovered relation in \textit{in situ} applications, including continuously and precisely tuning XUV waves and developing a new method of comprehensively sampling THz pulse.Comment: 6 pages, 3 figure