Littérature scientifique sur le sujet « X-Line Transit Systems »

Environmental quality in public rail transit has recently raised great concern, with more attention paid to underground subway microenvironment. This research aimed to provide guidance for healthy urban subway microenvironments (sub-MEs) according to comprehensive micro-environmental categories, including thermal environment, air quality, lighting environment, and acoustic environment from both practical and regulation perspectives. Field sampling experiments were conducted in Nanjing Metro Line X (NMLX). Descriptive analysis, correlation analysis and one-way analysis of variance were used to investigate the status quo of urban sub-MEs. A paired samples t-test was then performed to compare among subway station halls, platforms, and in-cabin trains based on integrated sub-MEs. Results show that relative humidity, air velocity, respirable particulate matter (PM10) concentration, and illuminance dissatisfy the requirements in relevant national standards. Significant difference was observed in lighting environment between station hall and platform. It was detected platforms are warmer and more polluted than train cabins. Additionally, subway trains generate main noise on platform which is much louder when leaving than arriving. Protective strategies for sub-ME improvement as well as principles for updating standards were proposed from a proactive point of view. The findings are beneficial for moving towards healthy urban sub-MEs and more sustainable operation of subway systems.

Abstract The ITER electron cyclotron emission (ECE) diagnostic system has primary roles in providing measurements of the core electron temperature profile and the electron temperature fluctuation associated with the neoclassical tearing modes. The ITER ECE system includes a radial and oblique line-of-sight. Four 43-meter long low-loss transmission lines (TLs) are designed to transmit millimeter wave power in the frequency range of 70–1000 GHz in both X- and O-mode polarization from the port plug to the ECE instrumentation room in the diagnostic building. The measurement instrumentation includes two Fourier transform spectrometer (FTS) systems and two radiometer systems. The Indian Domestic Agency (IN-DA) and United States Domestic Agency share the responsibility. The IN-DA scope excluding instrumentation and control has passed its preliminary design review and is progressing towards the final design review (FDR). In parallel, the diagnostic integration in different areas is ongoing. Several captive components for the TLs have passed FDR and will be manufactured for installation in the tokamak building soon. A peer review meeting has been held on the prototype hot calibration source, and its integration and new thermal analysis in the diagnostic shield module are continuing. A prototype TL is being tested. A prototype polarizing Martin-Puplett type FTS, operating in the frequency range 70–1000 GHz, features an in-vacuo fast scanning mechanism and a cryo-cooled dual-channel THz detector system. Its performance has been assessed in detail against ITER requirements.

TOI-732 is an M dwarf hosting two transiting planets that are located on the two opposite sides of the radius valley. Inferring a reliable demographics for this type of systems is key to understanding their formation and evolution mechanisms. By doubling the number of available space-based observations and increasing the number of radial velocity (RV) measurements, we aim at refining the parameters of TOI-732\,b and c. We also use the results to study the slope of the radius valley and the density valley for a well-characterised sample of M-dwarf exoplanets. We performed a global Markov chain Monte Carlo analysis by jointly modelling ground-based light curves and CHEOPS and TESS observations, along with RV time series both taken from the literature and obtained with the MAROON-X spectrograph. The slopes of the M-dwarf valleys were quantified via a support vector machine (SVM) procedure. TOI-732\,b is an ultrashort-period planet $ d) with a radius $R_b=1.325_ oplus $, a mass $M_b=2.46 oplus $, and thus a mean density $ $, while the outer planet at $P=12.252284 d has oplus $, $M_c=8.04_ oplus $, and thus $ $. Even with respect to the most recently reported values, this work yields uncertainties on the transit depths and on the RV semi-amplitudes that are smaller up to a factor of sim \,1.6 and sim \,2.4 for TOI-732\,b and c, respectively. Our calculations for the interior structure and the location of the planets in the mass-radius diagram lead us to classify TOI-732\,b as a super-Earth and TOI-732\,c as a mini-Neptune. Following the SVM approach, we quantified $ $, which is flatter than for Sun-like stars. In line with former analyses, we note that the radius valley for M-dwarf planets is more densely populated, and we further quantify the slope of the density valley as $ Compared to FGK stars, the weaker dependence of the position of the radius valley on the orbital period might indicate that the formation shapes the radius valley around M dwarfs more strongly than the evolution mechanisms.

AbstractDue to its increased popularity, public transport has grown considerably, which has resulted in more lines that are operated with higher frequencies. As a result, the current bus stations that are located in strategic places like city centers to serve as a hub are becoming too small. If there is no space to enlarge the station, then usually the best option is to create a second bus station close-by. This raises the problem of distributing the bus lines over the bus stations, such that good connections are offered to transfer passengers. We have considered this problem in the city of Utrecht, which is a middle-sized city in the center of the Netherlands. The central transit hub, which is located next to the central railway station, consists of several separate bus stations. The goal of the research is to minimize the total travel time for all passengers who want to transfer at the hub. Here we are not allowed to adjust the current timetable, and we have to take the capacity and vehicle limitations into account. To find out which journeys are made daily and by how many people we use data from a digital fare system. This results in passenger groups, and for each group we compute the relevant travel options given the current timetable. Thereto, the routes are split into an inbound itinerary, a transfer within the same bus station, and an outbound itinerary; the validity of a travel option depends on the assignment of the bus lines to the bus stations. We decompose the problem into first finding a distribution of the lines over the stations and then assigning them to a platform at the station of choice. In the first subproblem, we find the best set of transfers using Integer Linear Programming (ILP), resulting in a station assignment. In the second subproblem, for each station, we distribute the bus lines over the platforms. In this subproblem, there can be multiple lines assigned to a single platform, as long as there are never more vehicles at the platform simultaneously than physically fit. The goal is to maximize the comfort of the transfer passengers by assigning tight transfers to adjacent platforms; this problem is solved using ILP as well.

The goal of this paper is to discuss the behaviour of the X-ray transient source A0535+26 which is considered for historical reasons and for the huge amount of multifrequency data, spread over a period of 35 years, as the prototype of this class of objects. Transient sources are formed by a Be star — the primary — and a neutron star X-ray pulsar — the secondary — and constitute a sub-class of X-ray binary systems. We will emphasize the discovery of low-energy indicators of high-energy processes. They are UBVRI magnitudes and Balmer lines of the optical companion. Particular unusual activity of the primary star — usually at the periastron passage of the neutron star – indicates that an X-ray flare is drawing near. The shape and intensity of X-ray outbursts are dependent on the strength of the activity of the primary. We derive the optical orbital period of the system as 110.856 ± 0.02 days. By using the optical flare of December 5, 1981 (here after 811205-E) that triggered the subsequent X-ray outburst of December 13, 1981, we derive the ephemeris of the system as JD Popt−outb = JD0 (2, 444, 944) ± n(110.856 ± 0.02). Thus the passage of the neutron star at the periastron occurs with a periodicity of 110.856 ± 0.02 days and the different kinds of X-ray outbursts of A0535+26 — following the definitions reported in the review by Giovannelli & Sabau-Graziati (1992) — occur just after ∼ 8 days. The delay between optical and X-ray outbursts is just the transit time of the material coming out from the optical companion to reach the neutron star X-ray pulsar. The occurrence of X-ray “normal outbursts”, “anomalous outbursts” or “casual outbursts” is dependent on the activity of the Be star: “quiet state: steady stellar wind”, “excited state: stellar wind plus puffs of material”, and “expulsion of a shell”, respectively. In the latter case, the primary manifests a strong optical activity and the consequent strong X-ray outburst can occur in any orbital phase, with a preference at the periastron passage of the neutron star, because of its gravitational effects on the Be star.

Accurate forecasting of bus travel time and its uncertainty is critical to service quality and operation of transit systems: it can help passengers make informed decisions on departure time, route choice, and even transport mode choice, and it also support transit operators on tasks such as crew/vehicle scheduling and timetabling. However, most existing approaches in bus travel time forecasting are based on deterministic models that provide only point estimation. To this end, we develop in this paper a Bayesian probabilistic model for forecasting bus travel time and estimated time of arrival (ETA). To characterize the strong dependencies/interactions between consecutive buses, we concatenate the link travel time vectors and the headway vector from a pair of two adjacent buses as a new augmented variable and model it with a mixture of constrained multivariate Gaussian distributions. This approach can naturally capture the interactions between adjacent buses (e.g., correlated speed and smooth variation of headway), handle missing values in data, and depict the multimodality in bus travel time distributions. Next, we assume different periods in a day share the same set of Gaussian components, and we use time-varying mixing coefficients to characterize the systematic temporal variations in bus operation. For model inference, we develop an efficient Markov chain Monte Carlo (MCMC) algorithm to obtain the posterior distributions of model parameters and make probabilistic forecasting. We test the proposed model using the data from two bus lines in Guangzhou, China. Results show that our approach significantly outperforms baseline models that overlook bus-to-bus interactions, in terms of both predictive means and distributions. Besides forecasting, the parameters of the proposed model contain rich information for understanding/improving the bus service, for example, analyzing link travel time and headway correlation using covariance matrices and understanding time-varying patterns of bus fleet operation from the mixing coefficients. Funding: This research is supported in part by the Fonds de Recherche du Quebec-Societe et Culture (FRQSC) under the NSFC-FRQSC Research Program on Smart Cities and Big Data, the Canadian Statistical Sciences Institute (CANSSI) Collaborative Research Teams grants, and the Natural Sciences and Engineering Research Council (NSERC) of Canada. X. Chen acknowledges funding support from the China Scholarship Council (CSC). Supplemental Material: The e-companion is available at https://doi.org/10.1287/trsc.2022.0214 .

The aims of this systematic review are to provide knowledge concerning population pharmacokinetics of isoniazid (INH) and to identify factors influencing INH pharmacokinetic variability. Pubmed and Embase databases were systematically searched from inception to July, 2017. Relevant articles from reference lists were also included. All population pharmacokinetic studies of INH written in English, conducted in human (either healthy subjects or pulmonary tuberculosis patients) were included in this review. Ten studies were included in this review. Most studies characterized a two-compartment model with first-order kinetics for INH with a transit-compartment model for absorption suggested. Frequently reported significant predictors for INH clearance is NAT2 acetylator types (slow/intermediate/fast), while weight is a significant covariate for INH volume of distribution (both central and peripheral). In children, enzyme maturation had a profound affect on INH clearance. 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Kinzig-Schippers et al., Should we use N-acetyltransferase type 2 genotyping to personalize isoniazid doses?, Antimicrobial Agents and Chemotherapy 49(5) (2005), 1733-1738. https://doi.org/10.1128/aac.49.5.1733-1738.2005 [16] J.J. Kiser et al., Isoniazid pharmacokinetics, pharmacodynamics, and dosing in South African infants, Therapeutic Drug Monitoring 34(4) (2012) 446-451. https://doi.org/10.1097/ftd.0b013e31825c4bc3 [17] L. Lalande, Population modeling and simulation study of the pharmacokinetics and antituberculosis pharmacodynamics of isoniazid in lungs, Antimicrobial Agents and Chemotherapy 59(9) (2015) 5181-5189. https://doi.org/10.1128/aac.00462-15 [18] C. Magis-Escurra et al., Population pharmacokinetics and limited sampling strategy for first-line tuberculosis drugs and moxifloxacin, International Journal of Antimicrobial Agents 44(3) (2014) 229-234. https://doi.org/10.1016/j.ijantimicag.2014.04.019 [19] C.A. Peloquin et al., Population pharmacokinetic modeling of isoniazid, rifampin, and pyrazinamide, Antimicrobial Agents and Chemotherapy 41(12) (1997) 2670-2679. https://doi.org/10.1128/aac.41.12.2670 [20] K.Y. Seng et al., Population pharmacokinetic analysis of isoniazid, acetylisoniazid, and isonicotinic acid in healthy volunteers, Antimicrobial Agents and Chemotherapy 59(11) (2015) 6791-6799. https://doi.org/10.1128/aac.01244-15 [21] J.J. Wilkins et al., Variability in the population pharmacokinetics of isoniazid in South African tuberculosis patients, British Journal of Clinical Pharmacology 72(1) (2011) 51-62. https://doi.org/10.1111/j.1365-2125.2011.03940.x [22] S.P. 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Gumbo, Meta-analysis of clinical studies supports the pharmacokinetic variability hypothesis for acquired drug resistance and failure of antituberculosis therapy, Clinical Infectious Diseases 55(2) (2012) 169-177. https://doi.org/10.1093/cid/cis353

Information communication technology (ICT) is a multidimensional term for information technology (IT) that addresses the role of integrated communication and the integration of telecommunications (telephone lines and wireless signals) and computers as well as essential enterprise software, middleware, storage, communication which enable users to access, store, transmit and manipulate information. ICT’s is emerging as an important tool for the progress of society. The new technology has significantly improved lifestyle and efficiency levels in all sectors of the economy. This enables the utility of information & communication technology to overcome physical distances and time gaps in communication. Rapid improvements in information technology have increased their cost and space requirements, speed and storage capacity in a short span of time with traditional communication materials such as posters, charts, leaflets, folders, bulletins, audio tapes, transparency, photographs, prepared slides, videotape etc. In simple terms, ICT is a set of techniques evolved to manage information and move it from one place to another. It has been observed that in this traditional system used to take a lot of time to convey the information given to the farmers and the information was not received correctly. The rapid development of information technology has given a new look to communication systems. Now connecting two computers across the country has become an easy task. Separate ICT projects have been initiated by government, NGO’s and private companies. As a result, villages in many parts of the country have been connected through a wired network to eliminate the distance between rural and urban people. Krishi Vigyan Kendra are established by Indian Council Of Agricultural Research (ICAR) all over the country as an institutional innovation for application of agricultural science and technology on the farmer’s field with the help of multidisciplinary team i.e. Senior Scientists and Subject Matter Specialists. Who give skill or knowledge oriented training to farmers in multidisciplinary areas like Horticulture, Animal Husbandry and Fisheries, Home Science Agriculture Extension, Agronomy, Plant Protection Entomology/Pathology and Agriculture Engineer. The result of the study depict that the frequency of utilization of ICT tools by scientists for the farmers the tool which is utilized maximum by the KVK scientist is Smart phone, Internet and WhatsApp with (x = 5.00) and Rank-I and the minimum utilized by scientists Agri Guru, Mahadhan App, Agro medix agriculture app, Farm Key were not very frequently used ICT tools with (x= 0.21, 0.17., 0.7,.0.00). Rank L,LI,LII.LIII,LIV.

The FCM–CPA laser system at the University of Toronto uses a feedback-controlled Nd: glass oscillator to directly generate high-contrast 1-ps pulses at 1.054µm—ideal for an all-glass, no-fibre chirped-pulse amplification and compression laser system. Recompressed pulse contrast is nearly 108, final energy is >1J in a 1-ps pulse, in a relatively simple-to-operate system. With this system, and theoretically, we have been studying the use of isoelectronic line ratios in determination of temperature and electron energy distributions in picosecond laser-plasmas. We find that this class of spectroscopic line ratios is especially well-suited to highly transient plasmas, because the similarity of the lines leads to a diagnostic which is quasi-steady-state—more nearly ‘local’ in its time response. Also described are investigations in soft x-ray photopumped XUV laser systems, using the emission from travelling-wave laser-plasmas formed on self-healing mercury-wetted targets; these targets are particularly useful for high-repetition-rate applications.

<div class="section abstract"><div class="htmlview paragraph">The urea-water-solution based selective catalyst reduction (SCR) system is one of the effective devices for reduction of NO_x from diesel engines. In an effort to understand the various levels of oscillation observed in the NO_x measurement downstream of a SCR in which the urea dosage is controlled by a crankshaft-link pump, a zero-dimensional dynamic SCR model is developed in this paper based on conservation of mass. The model contains three states including the concentrations of NO_x and ammonia in the SCR and the surface coverage rate of the catalyst. The temperature-dependent reactions considered in the model include the adsorption, desorption and oxidation of ammonia and the NO_x reduction with the reaction constants provided by the catalyst company. The dynamic SCR model is validated both at steady state and during transient under various engine operating conditions and urea dosing rates. A periodic modulation of the urea dosing rate is adopted to simulate the periodic urea supply resulted from the reciprocating motion of the crankshaft-link pump. The simulation results exhibit similar oscillatory behaviors in the NO_x concentration as observed in the experimental measurement, which is further analyzed and explained based on the nonlinear characteristics between the downstream NO_x and the ammonia dosage. Based on the interpretation of the oscillatory NO_x signal, an algorithm for identification of the cross-sensitivity of the smart NO_x sensor to ammonia is proposed.</div></div>

Abstract Field X located in offshore South East Asia, is a deepwater, turbidite natural gas greenfield currently being developed using a subsea tieback production system. It is part of a group of fields anticipated to be developed together as a cluster. Due to the nature of this development, several key challenges were foreseen: i) subsurface uncertainty ii) production network impact on system deliverability and flow assurance iii) efficient use of high frequency data in managing production. The objective of this study was to demonstrate a flexible and robust methodology to address these challenges by integrating multiple realizations of the reservoir model with surface network models and showing how this could be link to "live" production data in the future. This paper describes the development and deployment of the solutions to overcome those challenges. Furthermore, the paper describes the results and key observations for further recommendation in moving forward to field digitalization. The process started with a quality check of the base case dynamic reservoir model to improve performance and enable multiple realization runs in a reasonable timeframe. This was followed by sensitivity and uncertainty analysis to obtain 10 realizations of the subsurface model which were integrated with the steady-state surface network model. Optimization under uncertainty was then performed on the integrated model to evaluate three illustrative development scenarios. To demonstrate extensibility, two additional candidate reservoirs for future development were also tied in to the system and modelled as a single integrated asset model to meet the anticipated gas delivery targets. Next, the subsurface model was integrated with a multiphase transient network model to show how it can be used to evaluate the risk of hydrate formation along the pipeline during planned production start-up. As a final step, in-built application programming interface (API) in the integration software was used to perform automation, enabling the integrated model to be activated and run automatically while being updated with sample "live" production data. At the conclusion of the study, the reservoir simulation performance was improved, reducing runtime by a factor of four without significant change in base case results. The results of the coupled reservoir to steady-state network simulation and optimization showed that the network could constrain reservoir deliverability by up to 4% in all realizations due to back pressure, and the most optimum development scenario was to delay first gas production and operate with shorter duration at high separator pressure. With the additional reservoirs in the integrated model, the production plateau could be extended up to 15 years beyond the base case without exceeding the specified water handling limit. For hydrates risk analysis, the differences between hydrate formation and fluid temperature indicated there was a potential risk of hydrate formation, which could be reduced by increasing inhibitor concentration. Finally, the automation process was successfully tested with sample data to generate updated production forecast profiles as the "new" production data was fed into the database, enabling immediate analysis. This study demonstrated an approach to improve forecasting and scenario evaluation by using multiple realizations of the reservoir model coupled to a surface network. The study also demonstrated that this integrated model can be carried forward to improve management of the field in the future when combined with "live" data and automation logic to create a foundation for a digital field deployment.