scholarly journals A Problems Faced by Freight Forwarders of Cold Chain Supply Logistics on Safety of Vaccines with Special Reference To Yashimarine Logistics

2019 ◽  
Vol 8 (2S8) ◽  
pp. 308-310
Keyword(s):  
Carbon Dioxide ◽  
Air Quality ◽  
Pharmaceutical Industry ◽  
Special Reference ◽  
Cold Chain ◽  
The Real ◽  
Explicit Condition ◽  
Supply Logistics ◽  
Set Up ◽  
The Impact

Cold chains are normal in the sustenance and pharmaceutical industry and furthermore in some component shipments. One general temperature run for a virus chain in pharmaceutical businesses is 2 to 8 °C. yet, the precise temperature (and time at warmth) resistances rely upon the real creation being transported. Interesting to new create cargoes, the virus chain requires to also keep up item explicit condition parameters which incorporate air quality levels (carbon dioxide, oxygen, dampness and others), which makes this the most convoluted virus chain to work. The general target of this examination is to evaluate the issues looked by cargo forwarders in virus chain supply coordinations on security of immunizations in pharmaceutical merchants. Different goals are to decide how stockpiling conditions in pharmaceutical merchants impacts wellbeing of immunizations, assess the impact of bundling in pharmaceutical wholesalers on the security of antibodies and to set up the degree to which specialized limit in pharmaceutical wholesalers impact wellbeing of Vaccines.

scholarly journals A Novel Work on Problems Faced by Freight Forwarders with Reference to Yashimarine Logistics

2019 ◽  
Vol 8 (2S8) ◽  
pp. 303-307
Keyword(s):  
Carbon Dioxide ◽  
Air Quality ◽  
Specific Temperature ◽  
Set Up ◽  
The Impact

Cold chains are typical in the sustenance and pharmaceutical endeavors and besides in some engineered shipments. One fundamental temperature go for an infection chain in pharmaceutical organizations is 2 to 8 °C. be that as it may, the specific temperature (and time at temperature) versatilities depend upon the genuine thing being sent. Exceptional to fresh create cargoes, the infection chain requires to moreover keep up thing express condition parameters which consolidate air quality levels (carbon dioxide, oxygen, moisture and others), which makes this the most tangled infection chain to work. Through this examination, the researcher endeavors to recognize the key areas to be moved up to improve the general adequacy of the infection chain collaborations for pharmaceutical things like antibodies. The general target of this examination is to evaluate the issues looked by cargo forwarders in virus chain supply coordinations on security of antibodies in pharmaceutical merchants. Different destinations are to decide how stockpiling conditions in pharmaceutical wholesalers impacts wellbeing of immunizations, assess the impact of bundling in pharmaceutical merchants on the security of antibodies and to set up the degree to which specialized limit in pharmaceutical merchants impact security of Vaccines.

scholarly journals The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes

2015 ◽  
Vol 15 (18) ◽  
pp. 10645-10667 ◽  
Author(s):  
P. D. Hamer ◽  
K. W. Bowman ◽  
D. K. Henze ◽  
J.-L. Attié ◽  
V. Marécal
Keyword(s):  
Air Quality ◽  
Observation Time ◽  
Prediction Errors ◽  
Monitoring Networks ◽  
Source Inversion ◽  
Ozone Prediction ◽  
Air Quality Prediction ◽  
Set Up ◽  
Ozone Precursor ◽  
The Impact

Abstract. We conduct analyses to assess how characteristics of observations of ozone and its precursors affect air quality forecasting and research. To carry out this investigation, we use a photochemical box model and its adjoint integrated with a Lagrangian 4D-variational data assimilation system. Using this framework in conjunction with pseudo-observations, we perform an ozone precursor source inversion and estimate surface emissions. We then assess the resulting improvement in ozone air quality prediction. We use an analytical model to conduct uncertainty analyses. Using this analytical tool, we address some key questions regarding how the characteristics of observations affect ozone precursor emission inversion and in turn ozone prediction. These questions include what the effect is of choosing which species to observe, of varying amounts of observation noise, of changing the observing frequency and the observation time during the diurnal cycle, and of how these different scenarios interact with different photochemical regimes. In our investigation we use three observed species scenarios: CO and NO2; ozone, CO, and NO2; and HCHO, CO and NO2. The photochemical model was set up to simulate a range of summertime polluted environments spanning NOx-(NO and NO2)-limited to volatile organic compound (VOC)-limited conditions. We find that as the photochemical regime changes, here is a variation in the relative importance of trace gas observations to be able to constrain emission estimates and to improve the subsequent ozone forecasts. For example, adding ozone observations to an NO2 and CO observing system is found to decrease ozone prediction error under NOx- and VOC-limited regimes, and complementing the NO2 and CO system with HCHO observations would improve ozone prediction in the transitional regime and under VOC-limited conditions. We found that scenarios observing ozone and HCHO with a relative observing noise of lower than 33 % were able to achieve ozone prediction errors of lower than 5 ppbv (parts per billion by volume). Further, only observing intervals of 3 h or shorter were able to consistently achieve ozone prediction errors of 5 ppbv or lower across all photochemical regimes. Making observations closer to the prediction period and either in the morning or afternoon rush hour periods made greater improvements for ozone prediction: 0.2–0.3 ppbv for the morning rush hour and from 0.3 to 0.8 ppbv for the afternoon compared to only 0–0.1 ppbv for other times of the day. Finally, we made two complementary analyses that show that our conclusions are insensitive to the assumed diurnal emission cycle and to the choice of which VOC species emission to estimate using our framework. These questions will address how different types of observing platform, e.g. geostationary satellites or ground monitoring networks, could support future air quality research and forecasting.

scholarly journals International Real Estate Review

2020 ◽  
Vol 23 (1) ◽  
pp. 37-63
Author(s):  
Helen X. H. Bao ◽  
◽  
Adam Brady ◽  
Ziyou Wang ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
Statistical Significance ◽  
Abnormal Returns ◽  
Event Studies ◽  
Market Force ◽  
The Real ◽  
The Real Estate ◽  
Pricing Efficiency ◽  
Set Up ◽  
The Impact

We use the reclassification of the real estate stocks in the S&P 500 from the Financials sector as a natural experiment to test the co-existence of both market force and behavioural biases. By performing event studies on real estate investment trusts (REITs) included in the S&P 400, S&P 500, and S&P 600 indices on both the announcement and implementation dates, we investigate the impact of the reclassification of the real estate stocks in the S&P 500 from the Financials sector to the newly created Real Estate sector under the Global Industry Classification Standard (GICS) system. We set up four hypotheses to test if the identified reclassification effect is due to improved pricing efficiency or bounded rationality. The event studies confirm the presence of abnormal returns during the announcement of the new sector and the S&P implementation. The reclassification effect is the largest for large-cap real estate stocks that are included in the S&P 500 index. These abnormal returns are robust to various measures of statistical significance and variation of event windows. The creation of a real estate category in the GICS improves the pricing efficiency of real estate stocks, but also triggers framing effects among investors. The market is under the influence of both rational and irrational forces.

Puppet mentoring: a new simulation scenario for learning surgical abilities

2019 ◽  
Author(s):  
Marco Frascio ◽  
Gianni Vercelli ◽  
Gregorio Santori ◽  
Simone Marcutti ◽  
Marco Chirico ◽  
...  
Keyword(s):  
Haptic Feedback ◽  
Learning Session ◽  
The Real ◽  
Surgical Simulators ◽  
The Us ◽  
Simulation Scenario ◽  
Training Courses ◽  
Set Up ◽  
The University ◽  
The Impact

"Surgical simulators are now able to teach in a way that the learning curve of young surgeons can progress in a lab faster than when using other teaching models (cadaveric or animal) or real patients. The impact of surgical simulators is confirmed by the fact that, in the US, standardized training courses are needed to acquire the Board of Surgery certification. The virtual simulator set up at the University of Genoa (eLaparo4D) is based on two key features: a convincing haptic feedback and a limited cost. Nevertheless, the main issue of eLaparo4D is the “simplicity” of the virtual scenario. To improve it, a new model of simulation is proposed in this project: the “puppet mentoring”, that might enhance its characteristics. The “puppet mentoring” is based on the recording of the movements of the surgeon in the real clinical scenario, that are transferred to the virtual machine. The apprentice, in his learning session, could be led through the operation by the simulator itself, in a scenario and in a way is the same of the real one."

Cost-effective test set-up for the real-time measurement of the triboelectric energy harvester

2021 ◽  
pp. 107754632110564
Author(s):  
Amit Sharma ◽  
Poonam Agarwal
Keyword(s):  
Real Time ◽  
Energy Harvester ◽  
Cost Effective ◽  
Time Measurement ◽  
The Real ◽  
Precise Control ◽  
Real Time Measurement ◽  
Input Parameters ◽  
Set Up ◽  
The Impact

Operational parameters, the force and the frequency of contact affect the triboelectric energy harvester output performance. There is a need for the precise control of input parameters and the real-time measurement of the output parameter to quantify the effect of operating parameters. In this paper, an in-house developed cost-effective experimental set-up (approximately $2600) is presented, enabling the variation in contact frequency and measures of the impact force, voltage and current in real-time. The percentage of uncertainty in the measurement of voltage, current and force are 1.63%, 1.29% and 1.83%, respectively. The proposed set-up can be used to perform a reliable performance analysis and comparison of the vertical contact-separation mode triboelectric energy harvesters by real-time measurement of input and output parameters with precise control of input parameters.

Impact of COVID-19 on Indian Pharmaceutical Industry and WayForward

2020 ◽  
Vol 20 ◽  
Author(s):  
Nikita Vijay Jadhav ◽  
Nisha Singh ◽  
Monika Targhotra ◽  
Meenakshi K. Chauhan
Keyword(s):  
Pharmaceutical Industry ◽  
Human Services ◽  
Economic Effect ◽  
The Novel ◽  
Flexible Chain ◽  
Set Up ◽  
Novel Coronavirus ◽  
The Impact ◽  
Indian Pharmaceutical Industry

Background: As countries and associations, a similar continue contemplating the phenomenal troubles flung by the novel coronavirus (COVID-19), a specific zone of concern has been the defenselessness incorporating the impact of the COVID-19 pandemic on the overall similarly as Indian pharma industry agilely chains. The COVID-19 emergency has featured the significance of having a hazard the executive’s structure set up that centers around the assessment of potential issues emerging from the passing of a flexible chain accomplice or area. Objective: This review focuses on the role of the Indian pharmaceutical industry towards the pandemic. This review investigates the economic effect of COVID-19 across segments and what it implies for the Indian economy. Method: The COVID 19 flare-up has additionally commenced the Indian pharmaceutical organizations an opportunity to transform into a supported trade place point for gathering drugs and intermediates. Result: An enormous pharmaceutical industry in India has consistently been a foundation of reasonable human services, and this pattern would now be able to be required to heighten further. Conclusion: The activities from COVID-19 are with a need to change the overall impression of Indian pharmaceutical associations and even more altogether, reduce the dependence of the private pharma associations on alone suppliers like China.

scholarly journals Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data

2020 ◽  
Vol 13 (1) ◽  
pp. 23-40
Author(s):  
Luolin Wu ◽  
Ming Chang ◽  
Xuemei Wang ◽  
Jian Hang ◽  
Jinpu Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Air Quality ◽  
Real Time ◽  
Urban Areas ◽  
Vehicle Emissions ◽  
Heavy Duty ◽  
Spatiotemporal Resolution ◽  
The Real ◽  
The Impact ◽  
Road Emission

Abstract. Rapid urbanization in China has led to heavy traffic flows in street networks within cities, especially in eastern China, the economically developed region. This has increased the risk of exposure to vehicle-related pollutants. To evaluate the impact of vehicle emissions and provide an on-road emission inventory with higher spatiotemporal resolution for street-network air quality models, in this study, we developed the Real-time On-road Emission (ROE v1.0) model to calculate street-scale on-road hot emissions by using real-time big data for traffic provided by the Gaode Map navigation application. This Python-based model obtains street-scale traffic data from the map application programming interface (API), which are open-access and updated every minute for each road segment. The results of application of the model to Guangzhou, one of the three major cities in China, showed on-road vehicle emissions of carbon monoxide (CO), nitrogen oxide (NOx), hydrocarbons (HCs), PM2.5, and PM10 to be 35.22×104, 12.05×104, 4.10×104, 0.49×104, and 0.55×104 Mg yr−1, respectively. The spatial distribution reveals that the emission hotspots are located in some highway-intensive areas and suburban town centers. Emission contribution shows that the dominant contributors are light-duty vehicles (LDVs) and heavy-duty vehicles (HDVs) in urban areas and LDVs and heavy-duty trucks (HDTs) in suburban areas, indicating that the traffic control policies regarding trucks in urban areas are effective. In this study, the Model of Urban Network of Intersecting Canyons and Highways (MUNICH) was applied to investigate the impact of traffic volume change on street-scale photochemistry in the urban areas by using the on-road emission results from the ROE model. The modeling results indicate that the daytime NOx concentrations on national holidays are 26.5 % and 9.1 % lower than those on normal weekdays and normal weekends, respectively. Conversely, the national holiday O3 concentrations exceed normal weekday and normal weekend amounts by 13.9 % and 10.6 %, respectively, owing to changes in the ratio of emission of volatile organic compounds (VOCs) and NOx. Thus, not only the on-road emissions but also other emissions should be controlled in order to improve the air quality in Guangzhou. More significantly, the newly developed ROE model may provide promising and effective methodologies for analyzing real-time street-level traffic emissions and high-resolution air quality assessment for more typical cities or urban districts.

scholarly journals The Prediction of Carbon Dioxide Emission Using ARIMA for Support Green Energy Development in Surabaya Municipality

KnE Energy ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 106
Author(s):  
Juniarko Prananda ◽  
Ridho Hantoro ◽  
Gunawan Nugroho
Keyword(s):  
Carbon Dioxide ◽  
Air Quality ◽  
Prediction Model ◽  
Carbon Dioxide Emissions ◽  
Negative Impact ◽  
Carbon Dioxide Emission ◽  
Industrial Sector ◽  
Green Energy ◽  
Emission Growth ◽  
The Impact

<p>Surabaya is a metropolitan city in Indonesia. As well as the second largest city in Indonesia, with average yearly GDP growth of Surabaya increased 5 % of the national GDP, Surabaya has attraction for the urbanization and very strategic for the investors to build their industry in Surabaya. This leads to industrial sector, transportation, and the number of civilians growing rapidly which has the impact on the air quality in Surabaya. The most influential of air quality is the emission of Carbon Dioxide (CO2). Carbon Dioxide is a greenhouse gases that provide the largest contribution to global warming and climate change. This has negative impact to humans, so it is necessary conduct a research on the Carbon Dioxide emission growth being produced from the transportation, the industrial Sector, and household in Surabaya. The purpose of this research is to get prediction model for Carbon Dioxide emission growth being produced in the Surabaya. The prediction model can be represented the carbon Dioxide emissions growth in the next years that would give recommendations to the Surabaya Municipality Government for preventive action to reduce the Carbon Dioxide emission in Surabaya. </p><p><strong>Keywords</strong>: Carbon dioxide; emission; prediction <br /><br /></p>

TEACH-POT: Provide Opportunities in Teaching

2020 ◽  
pp. 79-91 ◽  
Author(s):  
Maria Giulia Ballatore ◽  
Ettore Felisatti ◽  
Laura Montanaro ◽  
Anita Tabacco
Keyword(s):  
Academic Community ◽  
Real Effect ◽  
The Real ◽  
Main Components ◽  
The Impact ◽  
Training Opportunities ◽  
Different Levels

This paper is aimed to describe and critically analyze the so-called "TEACHPOT" experience (POT: Provide Opportunities in Teaching) performed during the last few years at Politecnico di Torino. Due to career criteria, the effort and the time lecturers spend in teaching have currently undergone a significant reduction in quantity. In order to support and meet each lecturers' expectations towards an improvement in their ability to teach, a mix of training opportunities has been provided. This consists of an extremely wide variety of experiences, tools, relationships, from which everyone can feel inspired to increase the effectiveness of their teaching and the participation of their students. The provided activities are designed around three main components: methodological training, teaching technologies, methodological experiences. A discussion on the findings is included and presented basing on the data collected through a survey. The impact of the overall experience can be evaluated on two different levels: the real effect on redesigning lessons, and the discussion on the matter within the entire academic community.

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