Transport Time Research Articles

Potential application of a fungal co-culture crude extract for the conservation of post-harvest fruits.

Fungal plant pathogens are responsible for serious losses in many economically important crop species worldwide. Due to the use of fungicides and the fungi genome plasticity, multi-drug resistant strains are emerging as a new generation of pathogens, causing an expansive range of superficial and systemic plant infections, or new opportunistic fungal pathogens for humans. The group of antagonistic fungi Trichoderma spp. has been widely used to enhance plant growth and for the control of different pathogens affecting crops. Although Neurospora crassa is not a mycoparasitic fungus, its secretion of secondary metabolites with antimicrobial activity has been described. In this work, the effect of crude extract of the monoculture of Trichoderma asperellum T8a or the co-culture with N. crassa as an inhibitory treatment against the fungal pathogens Botrytis cinerea and Fusarium solani was evaluated. The findings demonstrate that the secondary metabolites contained in the T. asperellum crude extract have a clear fungistatic activity against B. cinerea and F. solani. Interestingly, this fungistatic activity highly increases when T. asperellum is co-cultivated with the non-pathogenic fungus N. crassa. Moreover, the co-culture crude extract also showed antifungal activity on post-harvest fruits, and no toxic effects on Murine fibroblast L929 (CCL-1) and murine macrophages RAW 264.7 (TIB-71) were observed. All these results together are solid evidence of the potential of the co-culture crude extract of T. asperellum and N. crassa, as an antifungal agent against phytopathogenic fungi, or post-harvest fruits during the transportation or commercialization time.

The characteristics and clinical outcomes of trauma patients transferred by a physician-staffed helicopter emergency medical service in Korea: a retrospective study.

Helicopter transport with medical teams has been proven to be effective, with improvements in patient survival rates. This study compared and analyzed the clinical characteristics and treatment outcomes of trauma patients transported by doctor helicopters according to whether patients were transferred after a clinical evaluation or without a clinical evaluation. This study retrospectively reviewed data from the Korean Trauma Data Bank of trauma patients who arrived at a regional trauma center through doctor helicopters from January 1, 2014, to December 31, 2022. The patients were divided into two groups: doctor helicopter transport before evaluation (DHTBE) and doctor helicopter transport after evaluation (DHTAE). These groups were compared. The study population included 351 cases. At the time of arrival at the trauma center, the systolic blood pressure was significantly lower in the DHTAE group than in the DHTBE group (P=0.018). The Injury Severity Score was significantly higher in the DHTAE group (P<0.001), and the accident to trauma center arrival time was significantly shorter in the DHTBE group (P<0.001). Mortality did not show a statistically significant between-group difference (P=0.094). Surgical cases in the DHTAE group had a longer time from the accident scene to trauma center arrival (P=0.002). The time from the accident to the operation room or from the accident to angioembolization showed no statistically significant differences. DHTAE was associated with significantly longer transport times to the trauma center, as well as nonstatistically significant trends for delays in receiving surgery and procedures, as well as higher mortality. If severe trauma is suspected, air transport to a trauma center should be requested immediately after a simple screening test (e.g., mechanism of injury, Glasgow Coma Scale, or Focused Assessment with Sonography in Trauma), which may help reduce the time to definitive treatment.

Efektifitas Penggunaan Gerobak Sorong Bermesin Model Track untuk Mengangkut Buah Sawit di Kabupaten Musi Banyuasin

Transportation of oil palm Fresh Fruit Bunches (FFB) from the plantation to the harvest collection point (HCP) must be done as quickly as possible. This is due to an increase in free fatty acids after the FFB is harvested. Some of the obstacles found were the FFB transportation equipment which was not yet capable of reaching the fruit in the garden easily and the transportation time which was quite long due to the uneven road conditions. With technological advances and the rapid development of innovation, the discovery of track model wheelbarrows that use a driving engine means that further studies are needed to determine the effectiveness of these transport machines. In this research, we will compare wheelbarrows without engines and wheelbarrows with track models, there are 3 (three) treatments given, namely on flat roads, bumpy roads and damaged roads. Researchers search for and collect data on transport capacity, transport load, transport speed and transport costs. The results of this research show that carrying capacity and road conditions have a effect on travel time and speed. This is due to the ability/power of the machine which is quite large and stable in transporting fruit. and, other results from this research show that the use of motorized wheelbarrows can reduce transportation costs because the transportation speed increases so that the travel time is shorter.

Predictors of clinical deterioration and intensive care unit admission in trauma patients transferred from northern Quebec to a level 1 trauma centre: a retrospective cohort study.

Trauma care in Nunavik, Quebec, is highly challenging. Geographic distances and delays in transport can translate into precarious patient transfers to tertiary trauma care centres. The objective of this study was to identify predictors of clinical deterioration during transport and eventual intensive care unit (ICU) admission for trauma patients transferred from Nunavik to a tertiary trauma care centre. This is a retrospective cohort study using the Montreal General Hospital (MGH) trauma registry. All adult trauma patients transferred from Nunavik and admitted to the MGH from 2010 to 2019 were included. Main outcomes of interest were hemodynamic and neurologic deterioration during transport and ICU admission. In total, 704 patients were transferred from Nunavik and admitted to the MGH during the study period. The median age was 33 (interquartile range [IQR] 23-47) years and the median Injury Severity Score was 10 (IQR 5-17). On multiple regression analysis, transport time from site of injury to the MGH (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.01-1.06), thoracic injuries (OR 1.75, 95% CI 1.03-2.99), and head and neck injuries (OR 3.76, 95% CI 2.10-6.76) predicted clinical deterioration during transfer. Injury Severity Score (OR 1.04, 95% CI 1.01-1.08), abnormal local Glasgow Coma Scale score (OR 2.57, 95% CI 1.34-4.95), clinical deterioration during transfer (OR 4.22, 95% CI 1.99-8.93), traumatic brain injury (OR 2.44, 95% CI 1.05-5.68), and transfusion requirement at the MGH (OR 4.63, 95% CI 2.35-9.09) were independent predictors of ICU admission. Our study identified several predictors of clinical deterioration during transfer and eventual ICU admission for trauma patients transferred from Nunavik. These factors could be used to refine triage criteria in Nunavik for more timely evacuation and higher level care during transport.

Analisis Kondisi Kran Kapal, Jumlah Trucking dan Waktu Kerja di Gudang Penerima terhadap Tingginya Berthing Time Kapal

The Influence of Ship Crane Conditions, Number of Trucking and Number of Trucking on the High Berthing Time of Ships. is a scientific article on library research within the scope of the field of science. The aim of this article is to build a hypothesis of influence between variables that will be used in further research. Research objects in online libraries, Google Scholar, Mendeley and other academic online media. The research method using the research library comes from e-books and open access e-journals. Qualitative descriptive analysis. The results of this article: 1) The influence of the condition of the ship's cranes on the high berthing time of the ship; 2) The amount of trucking influences the ship's berthing time; and 3) Working Time in the Receiving Warehouse influences the High Berthing Time of the Ship.

Separation of acetochlor through polymeric membrane system

In this study, an acetochlor belonging to the herbicide group was transported using a synthesized polymer inclusion membrane (PIM). Tricapryl-methylammonium chloride (Aliquat 366) and cellulose triacetate (CTA) were used as carrier and support material, respectively, in the membrane structure. The acetochlor samples taken during the transport from the donor phase containing 0.1 M HCl to the acceptor phase containing pure water were determined by Liquid Chromatography Mass Spectrometry (LC-MS/MS). The permeability coefficient (P), rate constant (k), and material flow rate (J) values were calculated at the end of the transportation processes. The recovery factor (%) was determined to be 91.2 % at the end of 240 min of transportation time. The effects of relative amounts of the target analyte, carrier, and acid type on the donor phase were determined, as well as those of the acceptor phase pH and stirring effect. The results achieved in this study suggest that a stable and environmentally sustainable polymer inclusion membrane system might be used to effectively transport acetochlor.

Efficient derivation of optimal signal schedules for multimodal intersections

Tramways decrease time, cost, and environmental impact of urban transport, while requiring multimodal intersections where trams arriving with nominal periodic timetables may have right of way over road vehicles. Quantitative evaluation of stochastic models enables early exploration and online adaptation of design choices, identifying operational parameters that mitigate impact on road transport performance.We present an efficient analytical approach for offline scheduling of traffic signals at multimodal intersections among road traffic flows and tram lines with right of way, minimizing the maximum expected percentage of queued vehicles of each flow with respect to sequence and duration of phases. To this end, we compute the expected queue size over time of each vehicle flow through a compositional approach, decoupling analyses of tram and road traffic. On the one hand, we define microscopic models of tram traffic, capturing periodic tram departures, bounded delays, and travel times with general (i.e., non-Exponential) distribution with bounded support, open to represent arrival and travel processes estimated from operational data. On the other hand, we define macroscopic models of road transport flows as finite-capacity vacation queues, with general vacation times determined by the transient probability that the intersection is available for vehicles, efficiently evaluating the exact expected queue size over time. We show that the distribution of the expected queue size of each flow at multiples of the hyperperiod, resulting from temporization of nominal tram arrivals and vehicle traffic signals, reaches a steady state within few hyper-periods. Therefore, transient analysis starting from this steady-state distribution and lasting for the hyper-period duration turns out to be sufficient to characterize road transport behavior over time intervals of arbitrary duration.We implemented the proposed approach in the novel OMNIBUS Java library, and we compared against Simulation of Urban MObility (SUMO). Experimental results on case studies of real complexity with time-varying parameters show the approach effectiveness at identifying optimal traffic signal schedules, notably exploring in few minutes hundreds of schedules requiring tens of hours in SUMO.

Methodology for International Transport Corridor Macro-Modeling Using Petri Nets at the Early Stages of Corridor Development with Limited Input Data

International transport corridors (ITCs) are intricate logistical networks essential for global trade flows. The effective modeling of these corridors provides invaluable insights into optimizing the transport system. However, existing approaches have significant limitations in dynamically representing the complexities and uncertainties inherent in ITC operations and at the early stages of ITC development when data are limited. This gap is addressed through the application of Evaluation Petri Nets (E-Nets), which facilitate the detailed, flexible, and responsive macro-modeling of international transport corridors. This paper proposes a novel methodology for developing E-Net-based macro-models of corridors by incorporating key parameters like transportation time, costs, and logistics performance. The model is scalable, enabling analysis from an international perspective down to specific country segments. E-Nets overcome limitations of conventional transport models by capturing the interactive, stochastic nature of ITCs. The proposed modeling approach and scalability provide strategic insights into optimizing corridor efficiency. This research delivers a streamlined yet comprehensive methodology for ITC modeling using E-Nets. The presented framework has substantial potential for enhancing logistics system analysis and planning.

Issues and Strategies of Agile Methodology Adoption in Remote Working Environment: A Systematic Literature Review

Agile and remote work are two topics that are currently popular in the business world, especially in the information technology industry. Both have been implemented in several companies, but Covid-19 has made it more widely used. Even though remote work offers many conveniences such as saving transport time and flexibility of place, it contrasts with Agile which requires intense collaboration and communication. Some of the obstacles found in previous research were that the team had fewer opportunities for communication, a lot of time was spent on meetings, so it was easy to get distracted when working remotely. This study uses a Systematic Literature Review to answer what are the obstacles and strategies in adopting agile in remote work systems. This research found that, there are five majors factors that effected while implement remote agile; coordination, response to change, leadership, facilitating condition, and policies &amp; guidelines.

Medical Supply Transportation Scheduling in Pandemic

The COVID-19 pandemic has brought the world to its knees, with healthcare systems struggling to cope with the surge in demand for medical supplies. One of the major challenges faced by healthcare providers has been the transportation of essential medical supplies from manufacturers to hospitals and clinics. The pandemic has exposed the weaknesses in our supply chain systems and has highlighted the need for a more resilient and efficient transportation network. This project aims to investigate the medical supply problem during the pandemic, with a focus on transportation. It uses the Simple Heuristic Method and C programming language. The data generated using exponential distribution. The result shows that the application of the Simple Heuristic Method can minimize and optimize transportation time, providing a solution to the medical supply problem during pandemics. This project examine the challenges faced by healthcare providers in sourcing and transporting essential medical supplies and the impact of the pandemic on transportation networks. The results of this research provide valuable insights into the medical supply problem during pandemics and help inform the development of more effective transportation systems for the healthcare industry.

Behavioural patterns of university students during the COVID-19 pandemic: A cross-sectional study of the effects of active transportation, uninterrupted sitting time, and screen use on physical activity and sitting time

Background The closure of universities due to the coronavirus disease 2019 (COVID-19) pandemic may alter the behaviour of students. This study aimed to determine the effect of active transportation duration, uninterrupted sitting time, and screen time to study on physical activity and sitting time during the lockdown. Methods This was a cross-sectional study based on data collected via an online questionnaire for university students during the second confinement in France (between October and December 2020). Participants (N=2873) completed the International Physical Activity Questionnaire, which assessed physical activity and sedentary behaviour, and contained questions about modes of transport, and perception of uninterrupted sitting time and screen time to study prior to confinement and during confinement. Multiple regression models assessed how time duration of active transportation, uninterrupted sitting time, and screen time studying increased or reduced confinement effects on physical activity and sitting time. Results The regression models showed that physical activity decreased during confinement for students who engaged in more prolonged periods of active transportation prior to confinement. Moreover, the perception of long, uninterrupted sitting time and high screen time prior to confinement significantly increased sitting time during confinement. Students who adopted the most active transport time prior to confinement were the least likely to increase their screen time during confinement. Conclusions Confinement reduced physical activity levels and increased sitting time, mainly among students who adopted active transport and accumulated longer uninterrupted sitting time prior to confinement. Students who combined-long periods of uninterrupted sitting time with high screen use could be a riskier profile for health. Analysis of physical activity time and sitting position should include its accumulation patterns.

An optimization model for just-in-time (JIT) delivery of precast components considering 3D loading constraints, real-time road conditions and assembly time

PurposeAlthough extensive research has been conducted on precast production, irregular component loading constraints have received little attention, resulting in limitations for transportation cost optimization. Traditional irregular component loading methods are based on past performance, which frequently wastes vehicle space. Additionally, real-time road conditions, precast component assembly times, and delivery vehicle waiting times due to equipment constraints at the construction site affect transportation time and overall transportation costs. Therefore, this paper aims to provide an optimization model for Just-In-Time (JIT) delivery of precast components considering 3D loading constraints, real-time road conditions and assembly time.Design/methodology/approachIn order to propose a JIT (just-in-time) delivery optimization model, the effects of the sizes of irregular precast components, the assembly time, and the loading methods are considered in the 3D loading constraint model. In addition, for JIT delivery, incorporating real-time road conditions in the transportation process is essential to mitigate delays in the delivery of precast components. The 3D precast component loading problem is solved by using a hybrid genetic algorithm which mixes the genetic algorithm and the simulated annealing algorithm.FindingsA real case study was used to validate the JIT delivery optimization model. The results indicated this study contributes to the optimization of strategies for loading irregular precast components and the reduction of transportation costs by 5.38%.Originality/valueThis study establishes a JIT delivery optimization model with the aim of reducing transportation costs by considering 3D loading constraints, real-time road conditions and assembly time. The irregular precast component is simplified into 3D bounding box and loaded with three-space division heuristic packing algorithm. In addition, the hybrid algorithm mixing the genetic algorithm and the simulated annealing algorithm is to solve the 3D container loading problem, which provides both global search capability and the ability to perform local searching. The JIT delivery optimization model can provide decision-makers with a more comprehensive and economical strategy for loading and transporting irregular precast components.

Maximizing the Supply Chain Profit in Multimodal Transportation Problem with Transfer Part using Two-Echelon Genetic Algorithm

Multimodal transportation is a highly effective method for optimizing deadlines and reducing inventory costs, both of which are crucial in a supply chain environment. This study employs a mathematical programming model to optimize the supply chain profit for multimodal transportation distribution within a specified time window. The model considers five factors, such as production cost, transportation cost, transport time, penalty cost, and sales price. Additionally, a Two-Echelon Genetic Algorithm (TEGA) is proposed to solve the optimization problem, and a numerical example is provided to validate the model and algorithm. The study compares the performance of the proposed algorithm with the exact solution from a previous study, presents implementation details and numerical experiment results, and analyses the findings. The results demonstrate the efficiency and robustness of the algorithm, making it a significant contribution to transportation planning for freight transportation and supply chain management.

Emergency Logistics Facilities Location Dual-Objective Modeling in Uncertain Environments

The uncertainty of post-earthquake disaster situations can affect the efficiency of rescue site selection, material, and personnel dispatching, as well as the sustainability of related resources. It is crucial for decision-makers to make decisions to mitigate risks. This paper first presents a dual-objective model for locating emergency logistics facilities, taking into account location costs, human resource scheduling costs, transportation time, and uncertainties in demand and road conditions. Then, stochastic programming and robust optimization methods are utilized to cater to decision-makers with varying risk preferences. A risk-preference-based stochastic programming model is introduced to handle the potential risks of extreme disasters. Additionally, robust models are constructed for two uncertain environments. Finally, the study uses the Wenchuan earthquake as a case study for the pre-locating of emergency logistics facilities and innovatively compares the differences in the effects of models constructed using different uncertainty methods. Experimental results indicate that changes in weight coefficients and unit transportation costs significantly impact the objective function. This paper suggests that decision-makers should balance cost and rescue efficiency by choosing appropriate weight coefficients according to the rescue stage. It also shows that risk level and robust conservatism can significantly alter the objective function. While stochastic programming models offer economic advantages, robust optimization provides better robustness.

Joint green dynamic order batching and picker routing problem using PSO with global worst experience

With the increasing importance of various countries’ initiatives on reducing carbon emissions (e.g., carbon border adjustment mechanism, CBAM), intelligent order picking systems have assisted electronic retailers in realizing a green supply chain. Previous studies on picker routing operations focused on adopting offline static customer order information to carry out operational decisions. However, in practice, the customer order information is updated dynamically; and high-efficiency warehouse layouts have been increasingly concerned. Therefore, this study creates a mixed-integer programming model for minimizing both the total carbon footprint and the total penalty cost for delayed orders in the joint order batching and picker routing problem with dynamic arriving orders and shipping time constraints in a high-efficiency fishbone warehouse layout. To solve this complex problem, a particle swarm optimization algorithm that integrates the swarm’s previous global and local worst experiences and a migration mechanism is further proposed to increase solution quality and computing efficiency. In addition, a three-dimensional space for the warehouse floorplan and shipping time constraints is designed to divide orders into batches to address the constraints. Theoretical analysis of this algorithm is conducted, and experimental analysis shows that this algorithm finds superior solutions than current practical strategies, to offer a valuable reference for carbon emission reduction in greening warehousing.

25% HUMAN SERUM ALBUMIN IMPROVES HEMODYNAMICS AND PREVENTS THE NEED FOR NEARLY ALL PREHOSPITAL RESUSCITATION IN A RAT ( RATTUS NORVEGICUS ) MODEL OF TRAUMA AND HEMORRHAGE.

Combat casualty care can be complicated by transport times exceeding the "golden hour," with intervention and resuscitation limited to what the medic can carry. Pharmaceutical albumin comes highly saturated with nonesterified fatty acids (NEFAs). We recently showed that treatment with 25% bovine serum albumin (BSA) loaded with oleic acid, but not NEFA-free BSA, improved survival for hours after severe hemorrhage and often eliminated the need for resuscitation in rats. However, it was unknown whether pharmaceutical albumin, derived from human sources and loaded with caprylic acid (CA), would have the same benefits. We compared adjunct treatment with oleic acid-saturated BSA, CA-saturated BSA, pharmaceutical human serum albumin, or a no-albumin control in a similar rat hemorrhagic shock model to determine whether the three NEFA-albumin groups provided the same benefits relative to control. We found almost no significant differences among the NEFA-albumin groups in any measure. Mortality in controls was too low to allow for detection of improvement in survival, but NEFA-albumin groups had significantly improved hemodynamics, lactate clearance, and greatly reduced fluid requirements compared with controls. Contrary to expectations of "dehydration," 25% albumins shifted little additional fluid into the vasculature. Rather, they restored protein to the autotransfusion fluid. Nonesterified fatty acids-albumin did not worsen lung permeability, but we observed a loss of circulating protein suggesting it may have increased overall vascular permeability. Our findings suggest that, though imperfect, 25% human serum albumin could be a solution for resuscitation in austere conditions requiring prolonged field care.

Abstract WP84: The 'When' in Response to BEFAST by EMS

Background: In cases of suspected stroke in prehospital patients, EMS response focuses on rapid assessment and transport. In Arkansas, stroke patients are identified by a unique barcode wristband for tracking and quality assurance. Prehospital stroke screens, such as BEFAST (Balance, Eyes, Face, Speech and Time), may influence destination decisions and transport time. We examined utilization of Stroke as a primary impression, compliance with placing stroke bands, if prehospital BEFAST influenced transport times from First Medical Contact (FMC), and which components were associated with rapid transport. Methods: In a single large urban EMS agency, prehospital care records of suspected stroke from Jan 1 to Dec 31, 2022, were retrospectively evaluated utilizing primary or secondary impression of Stroke or Transient Ischemic Attack (TIA). FMC and BEFAST performance time was noted and time intervals of FMC to BEFAST (FMC2BEFAST) and FMC to Arrival at destination (FMC2Arrival). Protocol compliance was determined by the placement of a stroke band. Time measures and BEFAST normal or abnormal scores were determined by ANOVA and protocol compliance with BEFAST with chi-square analysis. Results: There were 224 EMS transports for Stroke/TIA in 2022. Stroke bands were placed in 54% of patients with Stroke/TIA impressions. Stroke was a primary impression in 13% of transports and a secondary impression in 77% of transports. Patients with abnormal BEFAS(T) were 54, 26, 36, 41 and 60%, respectively. Stroke bands were placed in 61, 65, 69, 27 and 62%, respectively of cases with an abnormal BEFAS(T) (p &lt; 0.018). FMC2Arrival time had a 9 min improvement with stroke band placement (p=0.0021). Patients with abnormal Facial Droop (p=0.043) and Eye Disturbance (p=0.022) had significantly shorter FMC2Arrival times. Abnormal Balance, Arm Drift nor Speech was not associated with shorter FMC2Arrival times (p=NS). Conclusions: Rapid evaluation and transport of suspected stroke patients can be challenging. Identification was low in our single center study, abnormalities in Facial Droop and Eye Disturbances resulted in faster transport time. Improved training on the identification and screening may result in a higher stroke band placement, recognition and rapid transport times.

Crystalloid Fluid Management of Non-Traumatic Hypotension by New South Wales Ambulance

Introduction Shock is circulatory insufficiency, inadequate oxygen delivery, and cellular hypoxia. Intravenous fluids are essential for shock management. Despite treatment, patients can face persistent shock with ongoing hypotension, contributing to higher mortality. This analysis aims to quantify hypotensive non-traumatic cases in an Australian ambulance service, determine persistent hypotension prevalence, and assess paramedic-administered intravascular fluids’ impact on blood pressure changes. Methods This study is a retrospective analysis of prehospital fluid resuscitation by New South Wales Ambulance paramedics during 2022. Hypotension is defined as a systolic blood pressure of ≤ 90 mmHg, and persistent hypotension is a systolic blood pressure consistently below 90 mmHg across all observations, with a final blood pressure below 90 mmHg. This study aimed to determine the volume of fluid resuscitation at which a plateau in population-level systolic blood pressure response is observed, by calculating the derivative of the fitted logistic regression model. Moreover, this analysis identified the relative contribution of factors influencing the probability of an attempt at intravenous or intraosseous access using machine learning. Results Among 796,865 attendances, 23,049 (2.9%) involved non-traumatic patients with hypotension. In total 7,388 (32.1%) of the hypotensive cases resulted in persistent hypotension, of which 3,235 (43.8%) received Hartmann’s solution and 1,745 (53.9%) received at least 500 ml of fluids but still had hypotension. The model showed that systolic blood pressure tends to stop increasing after 500–600 milliliters of fluid are given. This suggests that, on average, giving more fluid than this may not raise blood pressure further in a prehospital setting, though individual patient needs can differ. The top four factors from the machine learning shows that as initial respiratory rate goes up, the probability of intravascular access rises. Transport times less than 20 min are associated with a smaller chance of access and younger patients are less likely to receive an attempt. Finally, extremes of systolic blood pressure are more likely to receive access attempts. Conclusion This study found that three percent of non-traumatic attendances have at least one episode of hypotension, and that more than half of these have persistent hypotension. Only 44% of persistently hypotensive received fluids, and half of persistently hypotensive patients stayed hypotensive despite a reasonable volume of prehospital crystalloids.

Synoptic sampling reveals spatial stability in flow and chemistry patterns despite large seasonal variability in a subarctic mountain catchment

AbstractSeasonality plays a critical role in cold mountain regions as variation in air temperature, ground thermal status, and precipitation phase alter the rate, timing and magnitude of hydrological and chemical transport. Additionally, cold mountain catchments can have highly variable topography, geology, permafrost, and landcover, which intrinsically add to this irregularity. Understanding how external and internal variability act to control mass fluxes requires sampling at a high spatial resolution over time, which rarely occurs in cold remote regions. In this work, we conduct five snapshot sampling surveys across 34 subcatchments during the ice‐free period in Wolf Creek Research Basin (a mesoscale montane subarctic catchment) and two additional winter surveys across a subset of sites to assess the drivers of variability in stream chemistry and discharge. We sampled for specific conductance (SpC), major ions, and dissolved organic carbon (DOC) and used statistical metrics and Bayesian mixing analysis to quantify patterns of flow and chemistry across space and time. Our results indicate patterns in both flow and chemistry remain largely consistent across seasons for all solutes. However, there was weaker correlation of chemistry between sites, suggesting asynchronous behaviour within the catchment. There was evidence of increasing production of ions and DOC along the stream network during high spring flows but not during low flows. Although concentrations and flows exhibit high seasonality in subarctic mountains, this seasonal variability does not alter spatial patterns that arise from highly variable catchment characteristics.

Significance of a Simulation for the Relocation of an Intensive Care Unit.

There have been few reports concerning simulation drills for the relocation of severely ill or injured patients treated in intensive care units (ICUs). We herein report our experience of one such simulation drill. It is a Narrative method. A simulation drill was performed on a weekday 2 weeks prior to the actual relocation. We selected 3 mock patients. The first one was a severely ill and unstable patient, the second had severe stroke, and the third had severe trauma. After the simulation, the average transportation time was 15minutes. The simulation revealed that mock patients with a percutaneous cardiopulmonary support system and intra-aortic balloon pumping in a standard ICU bed could not be accommodated in the elevator. Furthermore, working the elevator controls resulted in wasted time while transferring the patients. As a result, the number of people, who controlled the elevator, was therefore increased during the actual relocation. During the actual relocation, all patients were transported safely and more quickly than predicted based on the results of the simulation drill. Most physicians and paramedical staff have little experience with relocating ICUs, so a simulation drill was necessary to ensure the safe and prompt transport of patients.