Science topic

Maintenance - Science topic

The upkeep of property or equipment.
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I am working on developing a method for analyzing about 28 PPCPs. Calibration, SPE recovery, and all necessary validations were completed. However, I recently encountered an issue where the peaks for four compounds (eluting between RT 14–19 minutes) just disappeared. I prepared fresh standards and re-ran the analysis, but the peaks remained absent.
To troubleshoot, I switched to an isocratic method using the composition at which these compounds were previously eluting. This resulted in the detection of only 2 out of the 4 compounds, and even those appeared with very low intensity.
Since we have another high-resolution mass spectrometer (QTOF), I screened the standard mixture on it and observed all four compounds with good intensity.
We then performed maintenance on our HPLC-MS (This is the system we are using for quantification) system with the single quadrupole detector, including cleaning the ion guide, replacing the pump oil, and conducting other performance optimizations. After maintenance, we successfully detected peaks for seven new target compounds with good intensity, which were previously undetectable. However, the four problematic compounds still did not appear, even when tested at higher concentrations (up to 400 ppb).
I also tried running the analysis without the diverter valve, but the results were unchanged.
My current gradient is as follows:
0–1.5 minutes: 20% B
1.5–8 minutes: Linear increase to 80% B
8–9 minutes: Increase to 95% B, held until 20 minutes
20–23 minutes: Return to initial conditions (20% B)
23–36 minutes: Re-equilibration
Mobile phases:
A: 0.1% formic acid in water
B: Methanol
Flow rate: 0.3 mL, Injection volume: 10uL
The column in use is a SunFire C18 (4.6 × 250 mm). I am unsure what might have caused this. Please help with this or suggest what I should try now. Thanks so much
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You need to do method troubleshooting to see if it is the HPLC condition or the MS condition that causes the problem. Please inject your four std that you missed to the MS (with no column) to prove that the MS setting is still good. If you see the signal at the expected response (good signal), then you can focus on the column. If your MS is good, inject the same std with column and use the highest organic mobile phase to elute the compound quickly near the solvent front to prove that your column does not affect your analyses. Let me know the results and we can go from there.
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What are the key advantages and limitations of usingpropofol for induction and maintenance?
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How can interprofessional collaboration enhance themonitoring and maintenance of central lines?
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I do have a list of critical Equipments. How do I justify to the management on the cost for implementing predictive maintenance in my industry?
Does it reduce inventory levels of critical spares?
Does it save labour time of maintenance personnel?
Does it have high initial cost which can be returned in x years?
As a non-IT professional, how do i simply transfer the knowledge to maintenance team for making the shift from preventive to predictive maintenance?
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The cost savings for Predictive Maintenance come from less uplanned downtime of equiepment. The idea is we can detect an impending failure of an item, such as through noise moitoring of bearings. As an example, if you can determine an impending failure is going to happen in the near future, then you have some time window to fix the issue. In the mechanical example of a bearing, perhaps there is a contaminant in the oil. Changing out the oil is a lot easier job than replacing a bearning. Most person;s automobiles monitor the state of the oil in the care and determine how much 'Oil life" is left, verus doing an oil change every 3000 miles.
Such predictive maintenance can reduce overtime costs of fixing a failure versus preventing a failture. "You can pay me now, or pay me later".
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I'm looking to start a culture of primary human hepatocytes and was wondering if anyone has any advice on which suppliers are a good source of cells and any general maintenance tips and tricks?
Thanks!
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Camilla S.A. Davan Wetton : I would love to hear some of these tricks if you have figured out what they are. We are trying to use Lonza primary heps ( plateable) and they say these cells cannot be passaged as they are non proliferative. Additionally, culture can be done till 5 days. is there any way to expand these cells . The vials are extremely expensive and we experiments that may require more than one vial. Any help is greatly appreciated.
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Aviation MRO handles both planned and unscheduled aircraft maintenance. An independent MRO often rely on information coming from their clients or customers, which consist of maintenance request, parts demands, etc. The MRO needs to ensure that the aircraft spare parts are always available whenever needed but still needs to be evaluated to avoid any understock or overstock inventory situation. Forecasting demand of the spare parts is the common method used; however, there are still rooms for improvement needed due to several constraints, such as limitations in accessing data, collaboration complexity, and demand uncertainty.
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Thank you, Dave Dave Price
As a component MRO trader, I believe that if the MRO has access to customer data, including fleet sizes (both present and future), operational data (to examine seasonal factors and utilisation), and other data, they can optimise their inventory stocks. What do you think about this
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Critical Question:
What are the significant issues with Existing Software Engineering?
Important Note:
During this trip through the significant issues of existing software engineering issues, we will cite false claims in unlimited publications, technologies, tools, research, teaching, programs, developments, and others. We urge everyone not to take this personally. Anyone may disagree with the critical question, but please respond kindly. We experienced many bunches and losses and will speak to everyone about them later.
Motivations:
Experience as a software engineer for more than 40+ years as a practitioner and a Full academic professor, and we mastered every aspect of Software Engineering in different ways and interpretations than other claimed gurus in SWE.
Many software engineering practitioners and academics (including SJSU, where I am a full professor) present many false claims about SWE; all they see and know is the programming aspects of software engineering. Have a different understanding & knowledge of SWE, and they are missing the essential stages of SWE:
1) The Problem Space (Analysis) – Understanding the problem and representing the "WHAT."
We are talking about the functional and non-functional requirements, the responsibility, the collaboration of the classes, and the testing aspects of modeling these problem properties. Unfortunately, this Problem Space does not exist in teaching, training, research, and practice. However, the Problem Space is the most critical stage of software development in all fields of knowledge; By mastering the Problem Space, we can avoid many significant problems, including many failures.
2) The Solution Space (Design, Architecture, Coding) –Creativity of the solution and represent the "HOW-TO." This phase has many problems: 1) there are many solutions, 2) it Would lead to many different modeling techniques 3) The majority of research in SWE IS USELESS. Examples are many different modeling, architecture techniques, tools, and languages all over the solution space. Look at this statement carefully:
"if you do not understand the Problem Space, the outcome of the Solution Space is one of the following alternatives:
a) Useless Development and cancelation of the development – Billions of $s down the drain,
b) Software systems with maintenance nightmare, which causes a lot of system failures and cancelations after 5 to 6 years."
Unfortunately, in practice, coding represents 95% of the software development of any system.
We need to:
1. Unify the way we do everything in software engineering research and development
2. Emphasis on the Art, Science, and Engineering of Software Engineering
3. Stabilize the Engineering of Software
4. Standardize all aspects of Unified Software Engineering
5. Understand and accurate Execution of Software Quality
6. Allow Creativity and Innovations in Software Engineering
7. Prevent Software Maintenance
8. Unified and stabilize Methodologies, Techniques, and Processes
9. Reduce Cost and Effort
10. Produce of High Quality and Maintenance Free Software & Systems
11. Explore and Development of new Disciplines.
12. Free the Software Independency of Hardware
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Significant issues in existing software engineering include:
  1. Technical Debt: Accumulation of suboptimal code that complicates future development.
  2. Poor Requirements Management: Incomplete or changing requirements lead to project scope creep.
  3. Lack of Collaboration: Silos between teams can hinder communication and integration.
  4. Quality Assurance Challenges: Insufficient testing practices may lead to bugs and vulnerabilities.
  5. Rapid Technological Changes: Difficulty in keeping up with new tools and methodologies.
Other issues might include burnout among developers, inadequate documentation, and insufficient focus on user experience.
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I am currently engaged in a my research involving the design and cost estimation for a drinking water treatment plant that is structured into two phases, each with a duration of 20 years. To ensure accurate calculations of construction, operation, and maintenance costs, I am seeking recommendations for software tools that can assist in these calculations.
Could you kindly suggest any software or tools that are particularly effective for such comprehensive cost estimation tasks? Your insights and recommendations would be greatly appreciated as they will significantly contribute to the success of this project.
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  • treatment plants and can provide highly accurate and tailored cost estimations for multi-phase projects.
  • Aspen Capital Cost Estimator is a strong option if you're primarily focused on capital cost estimation with complex equipment and material needs.
  • Autodesk Civil 3D is useful if you also need detailed design integration along with cost estimation.
If your project is particularly large and complex, I recommend starting with CapdetWorks or WaterCAD to manage the multi-phase estimation and then using additional tools like Civil 3D for detailed design and modeling.
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I am seeking to express my protein of interest in THP-1 monocytes for future experiments. To achieve this, it is crucial to generate a stable cell line that is viable for freezing and maintains cell viability after thawing and differentiation into macrophages. However, I have noticed that most studies perform the transfection of THP-1 cells after differentiation into macrophages, which hinders the maintenance of a proliferative culture and the creation of a stable cell line. Additionally, cell viability can significantly decrease after the transfection of monocytes and their subsequent differentiation into macrophages. So far, nucleofection has shown higher transfection efficiency in monocytes compared to lipofectamine. I plan to test both methods. However, I have not found clear information regarding the viability of transfected monocytes after thawing and differentiation. I would like to know if anyone has experience with this process, which selection drug was used, and if there are any recommendations to optimize cell stability and viability. Thanks in advance
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Thank you for the insights, Ciaran Daly! I'll consider lentiviral transduction as a possible solution if other approaches don't yield the desired results. I appreciate you directing me to your paper for more details. Thanks again!
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Dose there any dietary restrictions or prohibited during period of psoriasis illness and what are recommended supplements that advice for health maintenance?
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Saad Hussein Murad Dietary supplements that may help manage psoriasis include omega-3 fatty acids, found in fish oil, which can reduce inflammation and improve skin health. Vitamin D supplements may also be beneficial, as they help regulate the immune system and skin cell growth. Antioxidants like vitamin E and selenium can protect against oxidative stress, which is linked to psoriasis flare-ups. Some people find relief with turmeric (curcumin), known for its anti-inflammatory properties. Additionally, probiotics might support gut health, which is increasingly recognized as playing a role in immune response and skin conditions like psoriasis. Always consult with a healthcare provider before starting any supplements to ensure safety and effectiveness.
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Service Lift Inspection
and Maintenance
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Dear Doctor
[Annual lift maintenance tasks
  1. Comprehensive inspection of all mechanical and electrical components — Conduct a thorough inspection of the lift’s mechanical and electrical systems, including motor, cables, brakes, control panels, and wiring. Identify any signs of wear, damage, or potential issues that require attention.
  2. Testing and certification of safety systems — Perform a comprehensive safety inspection, including load testing, emergency stop functionality, and other critical safety checks. Obtain the necessary certifications and documentation.
  3. Verifying compliance with relevant regulations and standards — Ensure that the lift system complies with all applicable codes, regulations, and industry standards. Make any necessary upgrades or modifications to meet the requirements.]
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Could you recommend some articles of detection and maintenance of road infrastructure using advanced technologies?
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Articles of Detection and Maintenance of Road Infrastructure Using Advanced Technologies
Road Structural Defects Detection and Digitalization Based on 3D Ground Penetrating Radar Technology: A State-of-the-art Review
Review of Deep Learning-based Crack Detection for Civil Infrastructures
Research on Cooperative Performance of Built-in Strain Sensor and Asphalt Pavement Structure
Surface Texture Reconstruction and Mean Texture Depth Prediction Model of Asphalt Pavement
.
Review of Deep Learning-based Crack Detection for Civil Infrastructures
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What are the factors that help artificial intelligence in strengthening the relationship between human resources and production quality?
Are these factors ideal or is there something additional?
1. Improving selection and recruitment processes.
2. Improve employee experience.
3. Improve production forecasting and planning
4. Improving training and development processes
5. Improving maintenance and operation processes
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APPLICATION OF AI ACROSS VARIOUS FUNCTIONS ACCELERATES THE POTENTIALITY OF THE TALENTED /COMPETENT WORKFORCE THOSE WHO HAS ZEAL AND ASPIRATION.
IT IS AN INTEGRATIVE FUNCTION ; SYSTEMATIC COOPERATION AND COORDINATION ; HR FOCUS ON THE DEVELOPMENT OF THE ENTIRE FUNCTIONS THROUGH THE INDUCTION OF THE LATEST TECHNOLOGY THAT FINALLY RESULTS IN IMPROVEMENT OF INDIVIDUAL PERFORMANCE, PRODUCT QUALITY AND FINALLY THE OVERALL PRODUCTIVITY.
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what can be the undiscovered benefits of applying telematic technologies for road pavement maintenance, incident reduction and environmental protection?
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Identifying research gaps in telematic technologies for road pavements optimization involves examining current advancements and pinpointing areas needing further exploration. Here are some research gaps in this field:
  1. Integration of Telematic Data with Pavement Management Systems:Developing seamless integration techniques to combine telematic data with existing pavement management systems. Standardizing data formats and communication protocols to facilitate data sharing and interoperability.
  2. Real-Time Data Processing and Analysis:Enhancing algorithms for real-time data processing to provide instant insights for pavement condition and maintenance needs. Improving data analytics methods to handle large volumes of telematic data efficiently.
  3. Predictive Maintenance and Decision-Making Models:Creating more accurate predictive models for pavement deterioration using telematic data. Developing decision-making frameworks that leverage telematic data for optimal maintenance scheduling and resource allocation.
  4. Sensor Technology and Deployment:Advancing sensor technology to improve the accuracy and reliability of pavement condition monitoring. Exploring cost-effective deployment strategies for widespread telematic sensor networks on roadways.
  5. Impact Assessment of Telematic Interventions:Conducting comprehensive studies to assess the long-term impact of telematic interventions on pavement performance and lifespan. Evaluating the cost-benefit ratio of telematic technologies in pavement management.
  6. Machine Learning and AI Applications:Investigating the use of machine learning and AI techniques to enhance the predictive capabilities of telematic systems. Developing AI-driven models for anomaly detection and proactive maintenance suggestions.
  7. Data Privacy and Security:Addressing data privacy concerns associated with the collection and use of telematic data. Implementing robust security measures to protect telematic data from cyber threats.
  8. User Behavior and Its Impact on Pavement:Studying the influence of driver behavior, as recorded by telematics, on pavement wear and tear. Developing strategies to mitigate the adverse effects of certain driving patterns on pavement conditions.
  9. Adaptation to Different Environmental Conditions:Researching how telematic technologies can be adapted to different environmental and climatic conditions. Studying the impact of extreme weather conditions on the effectiveness of telematic-based pavement optimization.
  10. Cost-Effectiveness and Scalability:Analyzing the cost-effectiveness of implementing telematic technologies on a large scale. Exploring scalable solutions that can be applied to various types of road networks, from local streets to highways.
  11. User Engagement and Stakeholder Collaboration:Developing strategies to engage various stakeholders, including government agencies, road users, and private companies, in the adoption of telematic technologies. Fostering collaboration between different sectors to enhance the implementation and effectiveness of telematic solutions.
By addressing these research gaps, the field of telematic technologies for road pavements optimization can advance significantly, leading to more efficient, cost-effective, and durable road infrastructure.
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What are the articles of detection and maintenance of road infrastructure using advanced technologies?
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Articles of Detection and Maintenance of Road Infrastructure Using Advanced Technologies
Road Structural Defects Detection and Digitalization Based on 3D Ground Penetrating Radar Technology: A State-of-the-art Review
Review of Deep Learning-based Crack Detection for Civil Infrastructures
Research on Cooperative Performance of Built-in Strain Sensor and Asphalt Pavement Structure
Surface Texture Reconstruction and Mean Texture Depth Prediction Model of Asphalt Pavement
.
Review of Deep Learning-based Crack Detection for Civil Infrastructures
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Predictive Maintenance for Electrical Equipment § Dataset:
• Generate a dataset with sensor readings (e.g., vibration, temperature) from electrical equipment over time, labelled with maintenance events (failures)
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Pharmacological agents used for induction, maintenance, and emergence from anaesthesia in paediatric patients are selected based on factors such as age, weight, medical history, surgical procedure, and individual patient response.
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Pharmacological agents used for induction, maintenance, and emergence from anaesthesia in paediatric patients are selected based on factors such as age, weight, medical history, surgical procedure, and individual patient response. Here's an overview of commonly used agents for each phase of anaesthesia:
  1. Induction of Anaesthesia: Intravenous Induction Agents:Propofol: A rapid-acting intravenous anaesthetic agent commonly used for induction due to its rapid onset, smooth induction, and short duration of action. It provides sedation and hypnosis without significant respiratory depression. Thiopental: Although less commonly used in paediatric anaesthesia due to its slower onset and higher incidence of side effects compared to propofol, thiopental may still be used in certain clinical scenarios. Inhalational Induction Agents:Sevoflurane: An inhalational anaesthetic agent with a pleasant odor and minimal airway irritation, often used for inhalational induction in paediatric patients, particularly in those who may be anxious or uncooperative with intravenous access. Desflurane: Another inhalational anaesthetic agent with rapid onset and offset, suitable for inhalational induction in paediatric patients with a secure airway and appropriate equipment for administration.
  2. Maintenance of Anaesthesia: Intravenous Anaesthetic Agents:Propofol Infusion: Continuous infusion of propofol is commonly used for maintenance of anaesthesia in paediatric patients due to its titratable effect, rapid clearance, and favorable recovery profile. Remifentanil Infusion: A short-acting opioid analgesic with rapid onset and offset, often used as an adjunct to intravenous anaesthesia for maintenance of analgesia during surgery. Inhalational Anaesthetic Agents:Sevoflurane or Desflurane: Inhalational agents such as sevoflurane or desflurane may be used for maintenance of anaesthesia via a vaporizer or a closed-circuit anesthesia machine, providing a consistent depth of anaesthesia and easy titration.
  3. Emergence from Anaesthesia: Reversal Agents:Neostigmine and Glycopyrrolate: Commonly used to reverse neuromuscular blockade following the administration of non-depolarizing muscle relaxants such as rocuronium or vecuronium. Flumazenil: An antagonist of benzodiazepines, used to reverse the sedative effects of drugs such as midazolam. Opioid Analgesics:Morphine or Fentanyl: Opioid analgesics may be administered during emergence from anaesthesia to provide postoperative pain relief. Fentanyl is preferred for its rapid onset and short duration of action, while morphine may be used for longer-lasting analgesia. Inhalational Anaesthetic Agents:Sevoflurane or Desflurane: Inhalational agents can be titrated down gradually during emergence from anaesthesia to facilitate smooth recovery and minimize postoperative agitation. Antiemetic Agents:Ondansetron or Dexamethasone: Antiemetic agents may be administered prophylactically to prevent postoperative nausea and vomiting (PONV) during emergence from anaesthesia, particularly in paediatric patients at high risk for PONV.
These pharmacological agents are selected and administered by anaesthesia providers based on individual patient characteristics, surgical requirements, and institutional protocols to achieve optimal anaesthetic depth, analgesia, and recovery in paediatric patients undergoing surgery. Close monitoring and titration of anaesthetic agents are essential throughout the perioperative period to ensure patient safety and comfort.
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Dear Experts,
Does anyone know where to find information on funds allocated to the maintenance of transportation infrastructure in Bavaria, Germany? Any insights on which Ministry is responsible for this?
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For federal transport infrastructure planning, you will find the necessary information about the costs and benefits of the transport infrastructure in both Bundestag documentation and the method manuals for the federal transport infrastructure plans. However, the actual costs usually differ considerably. See the following links
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According to the study, entitled "The transition from gel separatory serum tubes to lithium heparin gel tubes in the clinical laboratory", Transitioning to lithium heparin gel tubes may require adjustments or upgrades to existing equipment used for sample processing, such as centrifuges and analyzers. For example, centrifuge settings may need to be optimized for lithium heparin gel tubes to ensure proper separation of plasma from cellular components. Depending on the extent of equipment modifications required, there may be associated costs for calibration, maintenance, or potential equipment purchases.
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The switch from gel separatory serum tubes to lithium heparin gel tubes may involve several cost implications, including Tube Procurement, Disposal Costs, Equipment Adjustments, Training and Education, Validation and Quality Control, Transition Planning and Communication, and Long-term Cost Savings.
Overall, evaluating the potential cost implications of transitioning to lithium heparin gel tubes requires a comprehensive analysis of procurement costs, disposal expenses, equipment adjustments, training and education needs, validation requirements, and communication efforts to ensure a successful and cost-effective transition process.
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Hi, i´m working with C6/36 cells
Do you have a manual for preparing growth and maintenance medium for C6/36 cells?
What is the CO2 concentration and temperature that you use in the incubation?
please
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The C6/36 cell line is a mosquito cell line commonly used in virology and molecular biology research. The preparation of culture medium for C6/36 cells typically involves using a basic cell culture medium supplemented with additional components. Here's a general recipe for C6/36 cell culture medium:
firstly, we need:
->Basal Medium:
- Common basal media for insect cell lines include Grace's Insect Medium or Schneider's Drosophila Medium. Choose a medium suitable for C6/36 cells.
-> Serum:
- Fetal Bovine Serum (FBS) is commonly used as a supplement. The concentration may vary, but a common range is 5-10%.
->Antibiotics:
- Penicillin and streptomycin are often added to prevent bacterial contamination. Use concentrations like 100 U/mL penicillin and 100 μg/mL streptomycin.
-> Buffering Agent:
- Sodium bicarbonate or HEPES can be added to maintain the pH of the medium.
-> Additional Supplements (Optional):
- L-Glutamine, non-essential amino acids, and vitamins may be added depending on the specific requirements of your experiments.
To prepare the medium:
1. Prepare Basal Medium:
- Follow the manufacturer's instructions to prepare the basal medium. Ensure it is properly buffered to maintain pH.
2. Add Serum:
- Heat-inactivate the FBS at 56°C for 30 minutes if required. Add the desired concentration of FBS to the basal medium.
3. Add Antibiotics:
- Add penicillin and streptomycin to the medium. Mix well.
4. Adjust pH:
- If using a medium that requires additional buffering, adjust the pH to the recommended level using sodium bicarbonate or HEPES.
5. Sterilization:
- Sterilize the medium by passing it through a 0.22 μm filter to remove bacteria and other contaminants.
6. Storage:
- Store the medium in aliquots at -20°C or -80°C for long-term use. Thaw before use and avoid repeated freeze-thaw cycles.
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Hi, I am working with Cardiomyocytes in 3D (differentiated from hIPSC) from FujiFilm Cellular Dynamics. The are very nice to work with but we are testing a highthroughput microfluidic device and are currently using large volumes of very expensive media (from the company). I want to use my own formulation just for maintenance. I will use the recommended media for spheroid formation etc...
There are many options in the literature for this media however I am thinking of using RPMI 1640, 2% B27 supplement & 1%Pen/strep. This will be used for 3 days - 14 days.
Any suggestions/comments on this formulation?
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To save media cost the base media can be diluted 1:1in dmem
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I need unlabeled dataset of industrial robot for fault detection and predictive maintenance by using unsupervised algorithm.
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Hi,
You could find it in "NASA's Open Data Portal"
Best
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Power System, OPF
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Answer lies in formulation of your problem, if you are placing the limits for 24 hours (short term) then both maintenance and capital cost become less in comparison to operational cost. Problem of scheduling is complex, lots of data is involved, specially when its OPF. If renewables are also considered then problem becomes stochastic again with additional methods (Monte Carlo etc.). I have never read a research paper considering all the possibilities of constraints. Better is to go ahead with: (Thermal Generators+Renewables+ Storage) in security constraint environment.
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Automotive manufacturers are increasingly integrating augmented reality (AR) and virtual reality (VR) technologies to revolutionize various aspects of vehicle design, prototyping, manufacturing processes, and customer experiences. These immersive technologies offer significant benefits in the era of advanced automotive engineering and smart mobility solutions. Here's how AR and VR are being utilized in the automotive industry:
  1. Vehicle Design and Styling: Designers and engineers use VR to visualize and interact with 3D models of vehicles, enabling them to explore different design iterations and assess aesthetics, ergonomics, and functionality. VR design reviews facilitate efficient collaboration and decision-making among cross-functional teams.
  2. Virtual Prototyping and Simulation: VR allows automotive manufacturers to create virtual prototypes of vehicles and conduct realistic simulations of various scenarios, such as crash testing, aerodynamics, and thermal analysis. This streamlines the development process, reduces physical prototyping costs, and enhances safety assessments.
  3. Manufacturing and Assembly Processes: AR is applied on the factory floor to guide assembly line workers with real-time instructions and visual overlays. AR-assisted assembly and maintenance improves productivity, reduces errors, and enhances worker training and skill development.
  4. Quality Control and Inspection: AR and VR enable technicians to perform detailed quality control inspections using digital overlays, highlighting potential defects or deviations during manufacturing processes. This enhances product quality and reduces defects.
  5. Customer Experience and Marketing: Automotive manufacturers leverage AR and VR in showrooms and marketing campaigns to offer immersive and interactive experiences to customers. VR-based test drives and AR-enabled product presentations allow customers to explore vehicle features and configurations.
  6. Virtual Showrooms and Configurators: AR and VR technologies power virtual showrooms and vehicle configurators, enabling customers to customize vehicles, explore different options, and visualize the final product before purchase.
  7. Service and Maintenance: AR is utilized to provide service technicians with real-time diagnostic information, step-by-step repair instructions, and overlay information on the vehicle, simplifying maintenance tasks and reducing service time.
  8. Training and Skill Development: AR and VR-based training programs are used to educate service technicians, assembly line workers, and sales personnel. These interactive training modules enhance skills and knowledge retention.
  9. Design Validation and Customer Feedback: VR allows automotive manufacturers to conduct virtual focus groups and user studies to gather customer feedback on vehicle designs, features, and usability.
  10. Autonomous Vehicle Development: AR and VR technologies are utilized to simulate real-world driving scenarios for testing and validation of autonomous vehicle systems, reducing the reliance on costly physical road testing.
The integration of AR and VR technologies in the automotive industry is transforming the entire product lifecycle, from design and manufacturing to sales and customer support. These immersive technologies not only improve efficiency and reduce costs but also enhance the overall customer experience and drive innovation in advanced automotive engineering and smart mobility solutions.
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I don't have first hand information, but I would think VR will be a good way to give people an experience of driving the vehicle before buying the car.
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Hi, I am a Ph.D. student. I am working with GC-IRMS. We have MAT 253 IRMS along with Ultra trace GC. and GC interfaced with IRMS through GC combustion III. Recently I had a problem of really high water background after doing maintenance e.g. changing the oxidation catalyst and replacing the septum and liner. However, other backgrounds, e.g., Argon and nitrogen were ok. I tested the instrument for leak check but could not find any leak with Ar gas. After two days, over the weekend, the filament (box and trap values) turned to be zero. I suspected that the filament was broken and we replaced the filament. after replacing the filament, we turned on ion source again after some time, and box ad trap values showed up again. but unfortunately, it went to zero again after 2 minutes. Now this process is continued of showing up of box and trap values and turning off in 2 two minutes. We changed the nafion membrane two years before. did someone face the same problem? or can someone suggest any solution regarding this? I would be very grateful.
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Shaista Khaliq after source cleaning and maintenance.
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Maintenance of children born out of live in relationships
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Dear Juhi Naseem . There should be a comprehensive legislation to recognize live in relationships that consider each member of a family. So as each member be treated in a fair way.
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Technical question
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Good question, indeed.
As practitioners, we always recommend to ...
1.
Define your system ("Define the Context") according to ISO 31000.
Because you need to know for which system (only) you are preparing your Predictive Maintenance Program.
How can you do that?
Please see e.g. one of our LinkedIN Posts (Post No. 16)
2.
Define the A/B/C components of your system through a System Safety Analysis (SSA).
Because you need to know the critical parts of your system.
How can you do that?
Please see e.g. our LinkedIN Post No. 48
3.
Start to plan your Predictive Maintenance Program.
Because without a Road Map there never ever will be any kind of successful action.
How can you do that?
Please see e.g. our LinkedIN Post No. 5
with options for - Maintenance Plus, or - Retrofit/Revamp, or - Replacement.
How do you come along with that?
Very much looking forward to your feedback.
Thank you,
Alfred
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The Covid-19 pandemic is coming to an end around the world and now is the time to analyze its impact on all institutions of society one of the most interesting to study in our opinion is education. A large number of researchers note that during the quarantine restrictions and online learning, the process of incorrect borrowing and violation of the principles of academic integrity has increased significantly. Also at the end of 2022, neural networks based on artificial intelligence received wide publicity and application, which also raises many questions in the field of maintaining academic integrity.
We would love to hear your thoughts and recommendations on maintaining the principles of academic integrity in the student community in 2023.
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I work with children with autism, and during the Covid-19 period we were working remotely and this had a good effect on some children in learning through the parents and the family, but it had a negative impact on others as some families do not work on training the children This training is given to both the teacher and staff. But the institution was very keen to provide the service in the best way and to the fullest and without stopping.
From my point of view, I believe that in the event of exceptional circumstances such as these, our solutions must be alternative, and the constant search for alternatives must be non-stop.But I always like to work face to face
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I am developing a real-time maintenance module for the apparel industry using an IR sensor to calculate the uptime of a sewing machine.
 
I calculated the average uptime of the sewing machine, i.e., 5560 seconds.
 
Now, I need to calculate the threshold value to send an alert notification for maintenance.
 
General maintenance is done every 3 months, or 90 days.
Any leads will be highly appreciated.
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The threshold value for an alert notification is determined by the specific criteria of the alert. Generally, this value is determined by evaluating the data that is being monitored and establishing a range of values that will trigger an alert. For example, if you are monitoring server performance, you may set an alert threshold value of 80% usage to trigger an alert when the server reaches that level.
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Please can you help confirm if this publication exists:
Mahamadu, A. M., & Stansbury, J. (2014). Maintenance management strategy for effective maintenance of offshore oil and gas facilities. Journal of Quality in Maintenance Engineering, 20(2), 105-123.
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This is a very important comment -- ChatGPT will make up fictional citations in many of its responses. Why they programmed it do this may be answered here:
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How the hydraulic design parameters determined, the operation and maintenance of spillway.
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Spillway is designed for the maximum flood that the structure can safely pass ‘design flood’ and is
selected after consideration of economic and hydrologic factors.
Design flood may be arrived at by considering the cost of constructing the structure to provide flood control and the flood control benefits arising directly by prevention of damage to structures downstream, disruption of communication, loss of life and property, damage to crops, and underutilization of land and indirectly, the money saved under insurance and workmen’s compensation laws, higher yields from intensive cultivation of protected lands and elimination of losses arising from interruption of business, reduction in diseases resulting from inundation of flood waters. The direct benefits are called tangible benefits and the indirect benefits are
called intangible benefits. The design flood is usually selected after making a cost-benefit analysis
and exercising engineering judgment.
Maximum Probable Flood (MPF) includes extremely rare and catastrophic floods and is usually confined to the spillway design of very high dams.
Refer to the book Hydrology by H.M.Raghunath
You can also refer to many hydraulic structures books.
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The space shuttle repair and maintenance is often very challenging and require very specific Space Robotics & Automated Systems that are interconnected via Satellite Communication Systems.
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1. Autonomous Rendezvous and Docking: Autonomous rendezvous and docking technology enables spacecraft to autonomously dock at a specified point in space, allowing for maintenance and repairs to be performed remotely.
2. On-Orbit Robotic Servicing: On-orbit robotic servicing technology enables spacecraft to be serviced and maintained remotely, eliminating the need for astronauts to travel to each craft in order to perform maintenance.
3. Teleoperated Robotics: Teleoperated robotics technology enables spacecraft to be controlled remotely, providing greater flexibility and responsiveness to changes in the environment.
4. Satellite Inspection: Satellite inspection technology allows spacecraft to be inspected remotely, providing a detailed picture of their condition and helping to identify areas that require maintenance or repair.
5. Automated Maintenance and Repair: Automated maintenance and repair technology enables spacecraft to be serviced and maintained remotely using robotic technology, allowing for more efficient and timely repairs and maintenance.
6. On-Orbit Assembly: On-orbit assembly technology allows for spacecraft components to be assembled remotely, eliminating the need for astronauts to travel to each craft in order to assemble components.
7. Global Satellite Communication Systems: Global satellite communication systems enable spacecraft to communicate with each other and with ground control, allowing for data and commands to be transferred quickly and accurately.
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I just bought the Bio Rad NGC Discover 100 Pro. I have question about their NGC fraction collector VS BioFrac Fraction Collector. I bought the BioFrac Fraction Collector. Besides capacity, the field engineer told me he saw this old version collector more often in their maintenance and repair.
I just want to ask people’s experience who already used old collectors. Will it need more maintenance?
Thank you so much!
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Mostak Ahamed Thank you for the answers. Both are new equipment. One new model and one old model. We have already moved on to buy the new model.
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I am doing some trials culturing SH-SY5Y in Opti-MEM with Glutamax, Pen-Strep 1% without adding FBS (for my purposes I should use as little FBS as possible), but it seems that cells are suffering: they grow very slowly, initially taking a neuron-like shape and finally detaching from flask surface and dieing after 6-7 days from plating. Could it be due to serum deprivation? Which FBS % is optimal for SH maintenance in Opti-MEM?
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No, it is not suitable
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Blockchain technology brings benefits to the mobility and transportation system. Highlight for some applications:
  • Supply chain management to track the entire chain from production to delivery, preventing counterfeiting and improving transparency.
  • Electric vehicle charging creates a decentralized network of electric vehicle charging stations and provides greater driver flexibility.
  • Smart contracts that automate processes like payments, insurance, and maintenance reduce paperwork and increase efficiency.
  • Decentralized ride-sharing allows passengers to connect directly with drivers, without the need for a central authority, reduces costs, and increases accessibility with flexibility for drivers and passengers.
  • Transparency and traceability for various mobility and transport system activities such as registration, maintenance, and inspections can help increase accountability and reduce fraud and corruption.
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Research papers
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Study the attached google search. David Booth
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Trying to mitigate early-age fractures in concrete buildings is crucial for ensuring adequate durability, minimising potential strength loss, and lowering maintenance costs. Because these cracks challenge the residential comfort and the aesthetic appearances of buildings.
So, what are the alternative measures adapted to mitigate arly-age cracks in the construction industry?
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ACI report ACI 231 Report on Early-Age Cracking: Causes, Measurement, and Mitigation is available from ACI web site. Key causes include autogenous shrinkage, drying shrinkage, and subsidence cracking, in addition to any poor design and construction issues. Proper curing is critical to avoiding early age cracking. Mitigation strategies include internal curing (lightweight aggregates or superabsorbent polymers), shrinkage-reducing admixtures, and coarser cements (see the work/advocacy of Richard Burrows in the US).
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Hallo,
has anybody experiences with the "Siemens D5000 Matic XRD System" for powder diffractometry of multiphase inorganic materials?
What are the advances and disadvantages?
What are the conditions for maintenance and repair?
Thank you in advance!
Best regards
Bernd Dittert
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Thank you for your helpful estimation and notices!
Best regards
Bernd
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Hi, everyone. :)
Language maintenance and language shifting is an interesting topic. Talking about Indonesia, our linguists note that until 2022 Indonesia has 718 languages. Indonesia really cares about the existing languages.
One thing that is interesting, language maintenance and language shift are also influenced by geographical conditions.
To accommodate 718 different languages, Indonesia has a geographical condition of islands. If we move from island to island in Indonesia, the use of the language is very contrasting, there is contact of different languages ​​between us.
Some literature states that language maintenance and language shift are strongly influenced by the concentration of speakers in an area.
So, in the developments related to the topic of language maintenance and language shift regarding geographical conditions, to what extent have linguists made new breakthroughs in this issue?
I think that the study of language maintenance and language shifts related to regions is the same as the study of food availability or state territory which makes the area the main factor for this defense.
I throw this question at all linguists, do you have a new point of view in the keywords language, maintenance, and geographical.
Kind regards :)
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Language maintenance is the maintenance of a language (usually L1) despite the influence of external sociolinguistic forces (usually powerful language(s) and language shift, is a shift, transfer, replacement or language assimilation of usually L1 to L2 due mainly to the external sociolinguistic forces influencing a speech community to shift to a different language over time. This happens because speakers may perceived the new language as prestigious, stabilized, standardized over their L1 (lower-status). An example is the shift from first languages to second language(s) such as the English language.
Solution for language maintenance and protection from language shift rests on Social networks.
Social network deals with the relationships contracted with others, with the community structures and properties entailed in these relationships (Milroy, 1978,1980 &1987)
· It views social networks as a means of capturing the dynamics underlying speakers’ interactional behaviours and cultures.
The fundamental assumption is that people create their communities with meaningful framework in attaining stronger relationship for solving the problems of daily life.
Personal communities are constituted by interpersonal ties of different types, strengths, and structural relationships between links (varying in nature) but a stronger link can become the anchor to the network.
For close-knit network with strong ties
Such networks have the following characteristics, they are
  • Relatively dense = everyone would know everyone else (developing a common behavior and culture)
  • Multiplex = the actors would know one another in a range of capacities
Where do we find some close-knit networks? In smaller communities, but also in cities, because of cultural and economical diversity, e.g. newer emigrants communities, or High-educated individuals.
Functions:
  1. Protect interest of group
  2. Maintain and enforce local conventions and norms that are opposed to the mainstream -> lingustic norms, e.g.vernaculars, are maintained via strong ties within close-knit communities.
Network with weak ties
These networks have the following characteristics, they are:
  • Casual acquaintances between individuals
  • Associated with socially and geographically mobile persons
  • They often characterize the relations between groups
Lead to weakening of a close-knit network structure -> these are prone to change, innovations and influence between groups and may lead to language shift/language transfer/language/language replacement.
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Dear railway researchers,
I have a practical question. I am looking for suitable equipment for compacting soil and gravel in the laboratory. In our laboratory, I plan to build a laboratory model in a scale of 1:1 (railway substructure, railway superstructure). In the model, compaction (consolidation, stabilization) of the soil layers and gravel of the ballast bed will be carried out. Can you please share your experience with what device do you use in your laboratory?
In detail, for the soil, it would be best to use a CAT soil compactor equipped with a foot drum, which is used to compact the soil. For gravel, it would be best to use a track bed aggregate stabilizer that is used in track construction/maintenance (eg DGS 80 from Plasser&Theurer).
However, it is obvious that it is not possible to invite these large machines to the laboratory, and therefore it is necessary to use a spare machine. In addition, due to the work in the laboratory, it should work without emissions (no fumes, only electricity or gas is allowed). Do you have any experience or recommendations? Thank you in advance.
Vit
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Dear Vit,
We use the Dynapac LF62 in our labratories (pls. see the picture attached).
Technical specs - LF 62 Dynapac
  • Weight 60 kg.
  • Centrifugal force 10 kN.
  • Working width 330 mm.
  • Vibrating frequency 92 Hz.
  • Honda.
  • Engine type GX120.
  • Engine power 2.9 kW.
  • Revolutions at max torque 4300 rpm.
Best regards, Harald
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I can't access mirtarbase (mirtarbase.cuhk.edu.cn or http://mirtarbase.mbc.nctu.edu.tw/) because its says that "the requested URL was not found on this server".
I’m wondering if it's down permanently or if it's temporary for maintenance.
Is anyone having the same problem or have any information about it?
Thank you.
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Dear Rosanna Mazzarella,
You may want to use the following links/data
miRTarBase
Full name:microRNA-target interactions databaseDescription:miRTarBase has accumulated more than three hundred and sixty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after NLP of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.General information
hgttps://ngdc.cncb.ac.cn/databasecommons/database/id/167
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Has anyone else had issues accessing miRTarbase recently? I keep getting DNS 502 (bad gateway) errors. I’m just wondering if it is down for maintenance?
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I'm having the same problem in 2022.
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We are using the Elementar Analyser for carbon and nitrogen content of plant, soil and fertilisers. The carbon is in low bias (the factor is~0.89...), when it should be 0.9 to 1.1 and nitrogen is in high bias.
Is there any paticular reason for this? Could it be a calibration issue or maintenance problem?
Thanks
Regards
Adiel
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Low recoveries are typically due to too low a combustion temperature but high recoveries must be a calibration issue
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I need your assistance in determining the relationship between occurrence, severity, and detectability and maintenance strategy selection?
I have a problem with how the FMECA factors (occurrence, severity, and detectability) is defined and how it is used to judge the relative importance (i.e., scores) of alternatives (maintenance policy) using AHP method . What the meaning of occurrence, severity, and detectability used as critera in maintenance strategy selection?
Does the occurrence mean MTBF?
Does the severity mean MTTR?
An example to explain
When performing the pairwise comparison between the alternatives (maintenance policy) with respect to occurrence with regard to single seal damag, a question may be asked "how important is preventive maintenance compared to predictive maintenance with respect to occurrence?" The answer to such question is preventive very strong importance (value of 7) when compared to the Predictive maintenance with respect to occurrence for single seal
What is the meaning of this answer? How do you compare the performance of preventive maintenance with regard to the occurance of failure compared with predictive maintenance? I appreciate your help.
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You need to identify first all the possible and relevant strategies for the maintenance. When the failure probability is high even if the severity is less your maintenance strategy is to detect such failures. If the failure probability is high and severity is also high, your maintenance strategy should enable predictive and preventive maintenance. Few thoughts from me. If you require more insights pl let me know exactly what you are looking for
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How this system works, how to apply, what kind of terms should be provide to suit the system? Thank you
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This number is suitable for cattle comfortable temperature (generally 15 to 18℃), house feeding, light activity, no stress environment. When the temperature is below 12℃, the maintenance energy needs to increase by 1% for every 1℃ decrease. Net energy for weight gain (kj) of growing-finishing cattle = (2090+25.1W)X daily gain /1- (0.3x daily gain) [where W is body weight (kg)
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I am trying to self pollinate commercial varieties but I don't have the maintenance.
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Cytoplasmic male-sterility (CMS) has been used in F1 hybrid seed production in onion (Allium cepa L.). The CMS lines can be maintained by pollinating it with cytoplasmic male fertile line.
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I am using a LCT TOF micromass.
For the instrument maintenance and testing , I am raising the cone voltage from 35V to 200V for about 15 sec, so as to mimic in-source fragmentation experiments.
Then on returning back to 35V, the TIC intensity does not return back to its initial value immediately, but rather has a slow delay recovery which last for 1-2 mins.
I have ruled out issues with power supplies and dirty lens.
Has anyone seen a similar issue and may have certain suggestions?
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My group pioneered peptide sequencing by in source fragmentation almost 35 years ago on nESI-TOF. ESI is a metastable process. There is a process time constant associated with every tweak you make in the system. In the old days you had to tune the MS which involved things like adjusting detector threshold voltages, the push-pull voltages of the orthogonal ion beam diverter to the TOF, Einsel lens potentials, gas flows, and nozzle voltage, and x, y, z position of the nanospray head. While the service tech can now set these so you can forget it on today's MS instruments on the annual maintenance visit, back in the day we had to do this every single day on startup. Every tweak you made took about 5 min for the signal to become stable again, so it used to take up to half a morning before you could begin doing your work. You have to remember that it takes time for the ions beam to get through all the electromagnetic components inside the instrument before they get to the detector.
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Sociolinguistics started in the 1950s with Fishman focussing on language choice , maintenance and shift studies. Since then it has moved on to encompass more and more areas of study
can you let me know which area/ aspect of Sociolinguistics you are focussing on / working on?
thank you
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As Sociolinguistics focuses on the relationship between language and society, this relationship being multilayered has led to the emergence of all those subfields which connect language with the sociocultural fabric of any society. Whether one looks at cross-cultural linguistics, language and gender, dialectology, contact linguistics, multilingualism or language endangerment, all these areas fall under the domain of Sociolinguistics.
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As an instructor in database systems, my aim is edit a collection of case studies in relational database that follow along the lines of SDLC, having a number of cases for each of the phases - planning, analysis, design, development, testing, implementation and maintenance.
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I am looking for data ownership structures or frameworks that can be applied within large organizations, specifically related to information systems and data maintenance responsibilities.
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Orbis database, most comprehensive ownership structure up to 0.01% shareholders and subsidiaries up to beneficial ownership and Group Ultimate ownership information
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I am currently conducting a study on the effects of adopting IoT and Big data technologies in a manufacturing facility. I'm trying to get hold of data that would concern the change in the capacity of the plant, the maintenance costs, and OEE. I am aware that there is previous case studies on the matter but I am trying to quantify the change using real data. Does anybody know where I can find production data of a manufacturing facility I can use?
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You would have to get in touch with some of the companies and see if you can request the data. I would imagine not many will be fore coming. However, if you sign a NDA and you arent going to publicise were the data has come from then they may be willing to provide you with the data. Does your University have any collaborations or partnerships with any manufacturing companies. If they have it may be easier for you to go down that route.
Best Regards
Martin
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first I need to analyze and try to answer for predictive and prescriptive maintenance questions
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I might consider a broad approach as a first step. I would familiarize myself with the data by visually exploring the data. In my space, a graph is an important analysis tool which helps providers direction.
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I am interested in how to ensure the maintenance of high transport quality of roads during the period of heavy traffic.
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Thank you Dr. Bulcsu Szekely !
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Can a real picture of the road maintenance system be obtained in this way of monitoring and control? What other method would you recommend for monitoring and controlling road maintenance?
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Dear scientist,
We are currently working with iPSCs and their differentiation into pancreatic B-cells. We have noticed that after thawing, the growth and expansion rate of iPSCs has not been ideal.
We are using mTeSR1 for the expansion and maintenance of iPSCs before their differentiation.
Has anyone had similar problems in expansion and maintenance processes?
How could the growth and expansion rate be improved?
Thank you very much for your help and support
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Great
I recommend you to use ROCK inhibitor (Y-27632; Wako) at the first day of seeding then should be removed after 24h (more than 24h has negative effect on cell growth)
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In the maintenance optimization context, researchers use a structure such that it results in the Renewal reward theorem and they use this theorem to minimize the long-run cost rate criteria and the maintenance optimization problem.
However, in the real-world, creating such structures that conclude to Renewal reward theorem maybe not happen. I am looking forward to how to dealing with these problems?
Bests
Hasan
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If you want to, yes. Why not?
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Hello everyone, I am currently working on a predictive maintenance model to detect possible failures in a specific system or equipment. I wanted to ask you if you know where I can get real data from a device from a normal operating state to a failed state, such as valves, motors, switches, etc.
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To identify the failure modes of valves, motors, switches, etc. you can read maintenance manuals of that specific system/equipment, brainstorm with experts and check out for equipment maintenance/breakdown history records. Then you can decide the criticality of that equipment and what maintenance strategy that you are going to apply (You may read more on "Reliability Centered Maintenance"). Then if the predictive maintenance strategy is justified, there are several methods/tools you can use to predict abnormalities, Ultrasound/Vibration analysis/Oil analysis/Non-destructive testing, etc.
Eg: Induction Motor
You can use ultrasound to find an abnormal condition of an induction motor at an early stage. You can use vibration analysis to predict the motor bearing condition/defects. When bearing condition got worst you can hear the noise and also then using thermography you can see the hot condition of the motor. ( You may refer to PF curve). EMD technique can be used to predict stator winding conditions in downtime.
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Hello everybody,
I am currently working on a PhD project for a car manufacturing company, which basically consists of creating a predictive maintenance application for the machines that are currently used to fill the air conditioning circuits of vehicles. In essence, each cycle consists of two phases designed to perform checks on the circuit followed by a last one in which the corresponding refrigerant gas is charged. Specifically, in a first phase the circuit is pressurized in order to detect leaks from inside to outside the circuit, in a second phase a vacuum is exerted on the circuit in order to detect leaks from the outside to the inside, and finally, if no leak is detected, the circuit is filled. Regarding the data collected, for each of the phases different readings are taken of the pressure reached inside the circuit, except for the gas loading phase:
- First phase (pressurization): A total of three pressure readings are taken at different times (pressurization, stabilization and control).
- Second phase (vacuum): A total of 4 readings are taken at different time instants (release of the circuit pressure to the atmospheric one, vacuum, vacuum stabilization and control).
- Third phase (charge): Grams of gas charged in the circuit.
The attached FillingCurve.png file shows the typical theoretical curve of a filling cycle with the three aforementioned phases. As for the data, the attached SampleDataTable.png table presents a small sample of them.
The objective proposed to me is to model and monitor these variables so that, following a predictive maintenance strategy, it is possible to predict their trends and detect possible anomalies in real time, allowing to anticipate failures in the pressurization of the machines or in the pump in charge of the vacuum. With regard to the results of the cycles, it is worth mentioning that only those NOKs associated with the filling console have been taken into account, discarding the cycles that have been NOKs because the vehicle circuit itself had defects (leaks, bad connections, etc.). In any case, it is to be noted that the factory does not fully trust the assigned NOK labels... so maybe it would be better to just consider the OK samples...
As far as I understand, these data constitute time series, a completely new field for me. I have some experience in supervised and unsupervised classification problems using classical machine learning algorithms, as well as in computer vision using deep learning, but none with respect to time series. One of the problems I have encountered is that the classical techniques for dealing with these types of data, such as ARIMA and its variants are only valid for equispaced time series. However, this does not apply to my case because of the industrial context from which it comes: the machine is not filling continuously, there are line stops, breaks, vacations, maintenance stops, etc.
Can anyone guide me on the way to go? Does anyone know the techniques that can be applied to this type of time series? I would appreciate any kind of help, idea or suggestion, because although I thought it would not be so complicated and that the modeling of the time series was in a very mature state, the truth is that I am quite lost.
I believe that in order to apply the classical techniques, one option would be to summarize the data in new time intervals (hourly, for example), although this is not an alternative with which I feel very comfortable.
Thank you so much in advance.
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In case you would like to utilize Machine Learning, I think you should consider an Unsupervised method, because Supervised learning like Classification is not always practical in industrial environment due to the lack of labeled data.
One solution you can consider is to use AutoEncoder for Anomaly Detection of Time Series data.
Yes, your data is Time Series, but with Deep Learning approach like AutoEncoder, your time series doesn’t always need to be equally spaced (just accumulate when machines runs).
The general idea is to collect time series data of normal state for training the AutoEncoder until it can reproduce the input with an acceptable gap (small reconstruction errors). Then you used the trained model to monitor real time data. If the trained model cannot reconstruct new data (big reconstruction errors), there is a suspicion of Anomaly.
Of course, some data preparation (e.g. normalization…) must be done when training as well as monitoring.
I am applying this method for my Trabajo Fin de Máster (an Industrial Predictive Maintenance topic) and the preliminary result is quite positive.
With this approach, in short term, you may provide quick results for factory improvement. At the same time, as I search in Google Scholar, this approach is still new (most publications in 2019 - 2021). It means there is still much room for your academic research in long term. I think you're right, Time Series modelling is mature, but not too mature for your further ideas.
Of course, it is just the way I know and there are many possible methods.
I am finalizing my Trabajo Fin de Máster using this method. You can contact me for further discussion if any.
Un saludo,
Marcos Huy Le
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Strictly going by the amount of research that has been done in the diapause phase (dauer) of C. elegans, which aspect (recovery, maintenance, entry) has received maximum attention.
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Hi, Pranjal Garg so first I would say you could search on Google Scholar. You should see, if the search is reduced to a minimum the question of citations. You could then do a search on Scopus and PubMed always getting the number of citations.
Trivially, if you also search on our ResearchGate portal you can find information on citations and various metrics such as interest related to that topic.
I hope I was helpful, if you need a hand in C. Elegans feel free to contact me.
Keep in touch.
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I need to use a module to stabilize the three phase voltage on three phase three wire (delta) distribution line of an isolated micro grid system. To overcome any voltage sag or swell on the three phase three wire lines. Which is the best solution to be used ? I want device with low chance of failure for long time. Options like DVR or UPQC have lot of components so chance of failure becomes high requiring maintenance. I need to use it at a remote location where access is difficult from maintenance angle. So, what is opinion about using thyristor based regulator for each line? The power is around 15kW to be handled. Better options or any thoughts on the topic would be appreciated.
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Voltage regulation could be controlled by not allowing neutral point to shift by monitoring the load balance, as poor regulation would be of heavily loaded phase…
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Power system equipment needs periodic maintenance services for reliable operation with a lower forced outage frequency.
Maintenance scheduling is a program that optimally schedules the preventive maintenance for generation units and transmission lines. Through this program, the benefit of generation units and transmission lines, as well as the power system reliability, are taken into account simultaneously. Such programs maintain the system reliability by considering the simultaneous maintenance of power system components (particularly in low-price time periods of the year when generator owners want to temporarily keep their facilities out-of-service for maintenance services). Accordingly, preventive maintenance has different advantages as:
- Reducing failures frequency that prevents the reliability deterioration of the power system, particularly in both low-demand (decreasing the number of under-maintenance components) and high-demand (decreasing the forced outages of units) time periods
- Improving repair costs
- Retaining the useful lifespan of facilities
What other benefits are there for preventive maintenance?
Thanks
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Would reduced the life consuming cost, would increased the generating and transmitting efficiency, would reduced the temporary faults, increasing reliability of power system. Short time overloading could also be increased, refer my papers on short time over loading utilizing remaining life of a day……
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Hi,
am having difficulties modeling the seepage in an earth dam enhanced with a cut off wall using Plaxis 2D. The cut off wall is made of plastic concrete and was introduced later as part of a maintenance procedure in order to prevent any potential leakage from the resevoir. The plastic concrete was defined using the soft soil creep model as a drained impermeable material. Tutorials nr.12 and nr.14 in addition to a webinar on running a groundwater analysis gave an overview of the GWF BC's and of how to use time dependent flow functions in a fully coupled flow deformation analysis and how to run a GWF analysis. I've tried to combine all these tutorials by the modeling process to obtain the most optimum seepage / flow line but still haven't succeeded. The results of the analysis show that the cut off wall doesn't influence the seepage, which indicates an error in the input data or in the definiiton of the GWF BC's.
Could anyone please help me solving this problem.
Thank you all in advance.
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Ahmad Jazzar points 1 & 2 shows if you want to extract a value for total discharge in PLAXIS 2D you need to simply define a cross-section (CS).
By right clicking and defining two points on your model you will be presented with a value for total discharge. What is the case the unit?
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Are there researches available which relates the costs of Nuclear Power Plants - direct and indirect costs including waste disposal (plutonium etc.) and long-term maintenance (information storage, security, etc.) - to the economical value generated by the Nuclear Power Plants (amount of energy produced by those, and consumed by the various industry sectors)?
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One of my favorite authors on this topic is M.V. Ramana:
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We are looking different model to evaluate the sustainability of a power plant for energy production (both thermal and renewable). we are interested in the Opration and maintenance phase of the power plant.
thank you and best regards
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Dear Andrea:
You could realy benefit from this valuable attached book about your topic:
"Energy Indicators for Sustainable Development: Guidelines and Methodologies"
By INTERNATIONAL ATOMIC ENERGY AGENCY, VIENNA.
I hope it will be helpful...
With my best wishes...
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Hi,
I'm experienced in UHV work, but I've recently started using a turbo that hasn't been used in quite awhile, and I'm not sure when the last time the lubricant reservoir was changed. I know Pfeiffer recommends yearly changes for this, but I also know people go beyond this timeframe regularly.
I was curious if there are any signs that the lubricant is reaching end of life (increasing turbo current or shutdowns due to high temp I'd guess) or if you really need to stay on top of that interval to be safe from a catastrophic failure.
Thanks,
Brandon
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Similar question to before, but for bearing replacements. Do people actually do this every 4 years as recommended without seeing any worrying symptoms? I've never sent a pump in for this, and I imagine this is >$1k service charge, but I also don't want a pump to shred itself because I didn't do it. Then again, if you start to get overheating and auto shutdowns in advance of something catastrophic, this could be used to indicate bearing replacement time prior to a serious problems. I've been working around turbo pumps for almost 10 years and been responsible for probably 12 turbos, and I've only ever seen a turbo shred itself once at an institution I was at, and that wasn't even my lab, and the turbo involved was comically old. Destroying a pump because of pushing maintenance intervals is a terrible outcome, but this honestly seems rare in my experience, and spending the cost of a new pump on bearing replacements every few years is also not ideal if you are quite unlikely to avoid destroying a pump. I understand the considerations are situational, e.g. if an unexpected pump failure in an industrial setting will lead to a huge daily monetary loss in revenue or productivity then skimping on pump maintenance is unwise, but if it means a couple weeks delay in an experiment and the failure is a super rare occurrence this is not such a big tradeoff.
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I've been reading about biologics and how much of a high maintenance the molecule is, but I can't seem to find the answer to exactly how biologics came into the picture. There must've been an event where scientists decided that synthetic drugs have failed. What was that event?
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In short, it is just another cycle or variation in marketing. "Synthetic" drugs have not "failed", and MOST were developed from "biologics" to begin with. Biologics may be a step up in potency to many homeopathic or 'herbal' cures. The production methods (live organisms) are what make them more expensive than synthesized drugs. It is an alternative, just as Vegan diets or Homeopathy are alternatives to health care concerns. They are not necessarily 'better', as each individual is unique in lifestyle, ailments, and response to disease and curative agents.
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I have rat adipose-derived mesenchymal stem cells and the cells that are treated with maintenance media produced more alkaline phosphatase and stained more with Alizarin red than my ASCs treated with osteogenic differentiation media?
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Mesenchymal stem cells tend to have a biphasic spectrum of responsiveness to inductive factors, including osteogenic factors. Therefore, if your particular preparation of MSCs has a tendency to behave in an osteogenic manner under baseline conditions, inductive factors like dexamethasone could actually inhibit this osteogenic process. Osteogenic tendencies can be gradually induced by several factors inclusing certain FBS preparations, and sustained exposure to high cell density during passage. For rat MSCs especially, culture at very low density - a good rule of thumb is have them touch no more than two other cells at the point of harvest. - this is an oldie but a goodie: Javazon et al. PMID: 11359947
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Hello Everyone,
I am doing a final year project on Predictive Maintenance on s stepper motor (NEMA 23). I am having difficulties in finding a data set for this.
Any leads will be appreciable
thanks
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Hi Muhammad, I attached the data sheet, hopefully is usefull.
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For the comparison of life cycle costs of different car powertrains, it is important to include maintenance costs, especially as the life cycle maintenance costs of electric cars are expected to be much lower than those of conventional powertrains.
I am aware of the estimates published in Letmathe and Suares (2017), but I am wondering whether there are more recent publications (possibly in the grey literature) or datasets.
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Thank you for the link Mohammad Mahbubur Rahman
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A maintenance engineer makes the following claim:
“Pareto law is an important tool in managing assets.”
Investigate this claim within the field of maintenance management of industrial equipment?
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Indeed, Pareto's law allows prioritizing the allocation of resources, segmenting the assets that add value from those that do not. However, this tool must be embedded in a context of statistical control, due to in isolation it offers somewhat superficial conclusions. In other words, the approach at this tool must be after doing a whole design of experiments, a pilot test and a definition of the levels of randomness in the processes.
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Hi. The Lambda 365 in our lab has some issues - namely, depending on the occasion either with slot calibration or with the D2 wavelenght calibration. The elements that drive the grating and the slit are controlled by stepper motors, and we can hear that they don't seem to work properly. Unfortunately, there are no labels on the motors, and I would like to know of you, my dear friends, know what motors those are. The prices for original parts are horrendous... so I am looking for proper replacements. The unit is old, but worked perfectly do far, and we have an integrating sphere for it, so replacing it with a different brand would be costly.
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sounds like a slippery connection (belt?) between your motor and grating/slit. if possible check it first.
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The definition of maintenance is based on reliability, and some times we have difficult to define the best periodic and definition to maintenance, so the some software can help to define this. So I would like to know if exist any software to help with this.
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Compare the Top Equipment Maintenance Software of 2021
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I want to simulate a model in Arena. The model includes a process which resource can make 25 successful processes after which it goes into a maintenance period for EXPO (30), then it returns back to service. The resource/machine goes into maintenance every 25 successful process.
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