WBES Data Analysis for Manufacturing: Expansion in African Markets
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This report presents an analysis of World Bank Enterprise Survey (WBES) data to evaluate potential locations for a manufacturing firm to expand its operations in Africa. The analysis considers factors such as total labor force, unemployment rates, access to electricity, intentional homicides, CO2 emissions, ease of doing business, human rights, and corruption perceptions index across several African countries. Ethiopia is identified as a potentially favorable location due to its large labor force and low crime rates. Zambia and Ghana are highlighted for their high unemployment rates, which could provide access to a readily available workforce. The report also cautions against expanding into countries with high crime rates or corruption levels. The ease of doing business, human rights records, and environmental factors like CO2 emissions are also assessed to provide a comprehensive overview for strategic decision-making. Desklib provides access to this assignment and many other solved assignments for students.

Assignment 2 WBES
data analysis
data analysis
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Table of Contents
INTRODUCTION ..........................................................................................................................3
TASK...............................................................................................................................................3
Analysis on Total Labour Force..................................................................................................3
Analysis of Unemployment.........................................................................................................3
Analysis of % of population with access to Electricity...............................................................4
Analysis of Intentional Homicides..............................................................................................4
Analysis of CO2 emissions.........................................................................................................4
Analysis of ease of doing business data......................................................................................5
Analysis of human rights............................................................................................................6
Analysis of corruption perceptions index...................................................................................7
CONCLUSION ...............................................................................................................................8
REFERENCES................................................................................................................................9
INTRODUCTION ..........................................................................................................................3
TASK...............................................................................................................................................3
Analysis on Total Labour Force..................................................................................................3
Analysis of Unemployment.........................................................................................................3
Analysis of % of population with access to Electricity...............................................................4
Analysis of Intentional Homicides..............................................................................................4
Analysis of CO2 emissions.........................................................................................................4
Analysis of ease of doing business data......................................................................................5
Analysis of human rights............................................................................................................6
Analysis of corruption perceptions index...................................................................................7
CONCLUSION ...............................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
The data analysis is the procedure of accurately applying statistical or practical methods
to explain and demonstrate, conclude and analyse, and examine the data. The report includes
analysis of various factors like total labour force, Unemployment, population, intentional
homicides, co2 emissions and many more (Heath and et.al., 2018). The report is prepared for the
analysis of an edited subset of survey data collected by some international organisations like the
world bank enterprise survey (WBES), transparency international etc. It provides some variables
on economic situation as well as obstacles facing business organisation. The organisation is a
manufacturing firm. It is considering opening a branch each in three African countries.
TASK
Analysis on Total Labour Force
From the given data it can be observed that the most of the labour population is present in
the Ethiopia country. So the first country in which the Company can establish their business is
Ethiopia. It can be ranked as the first country in the list of ease of doing business. The reason
behind is that the company can recruit more and more labour for them so that they complete their
operations with in time. The another reason for that is the company can hire these labour at a low
cost because there are many labours in the market of the Ethiopia country. The second country
which have large number of labour is Ghana. The Number of labour in this country are
continuously increasing from the last 10 years. Third Country which have most number of labour
is Cameroon in which the change in the number of labour is maintained from the last 10 years. It
can be increasing or decreasing but did not have big variations. So these are three countries in
which the Company can expand their business according to the availability of labour (Saini and
Singhania, 2018).
Analysis of Unemployment
It can be analysed from the given data of the % of unemployment of total labour force is
that the most of the unemployed people are present in the country known as Zambia. In this
Country the company can establish their business easily because the people of Zambia are
unemployed and need the job at any cost. This situation can help the business because they can
hire recruit them at a very cheap cost which increase the profit margin for them. The another two
The data analysis is the procedure of accurately applying statistical or practical methods
to explain and demonstrate, conclude and analyse, and examine the data. The report includes
analysis of various factors like total labour force, Unemployment, population, intentional
homicides, co2 emissions and many more (Heath and et.al., 2018). The report is prepared for the
analysis of an edited subset of survey data collected by some international organisations like the
world bank enterprise survey (WBES), transparency international etc. It provides some variables
on economic situation as well as obstacles facing business organisation. The organisation is a
manufacturing firm. It is considering opening a branch each in three African countries.
TASK
Analysis on Total Labour Force
From the given data it can be observed that the most of the labour population is present in
the Ethiopia country. So the first country in which the Company can establish their business is
Ethiopia. It can be ranked as the first country in the list of ease of doing business. The reason
behind is that the company can recruit more and more labour for them so that they complete their
operations with in time. The another reason for that is the company can hire these labour at a low
cost because there are many labours in the market of the Ethiopia country. The second country
which have large number of labour is Ghana. The Number of labour in this country are
continuously increasing from the last 10 years. Third Country which have most number of labour
is Cameroon in which the change in the number of labour is maintained from the last 10 years. It
can be increasing or decreasing but did not have big variations. So these are three countries in
which the Company can expand their business according to the availability of labour (Saini and
Singhania, 2018).
Analysis of Unemployment
It can be analysed from the given data of the % of unemployment of total labour force is
that the most of the unemployed people are present in the country known as Zambia. In this
Country the company can establish their business easily because the people of Zambia are
unemployed and need the job at any cost. This situation can help the business because they can
hire recruit them at a very cheap cost which increase the profit margin for them. The another two

country after Zambia where the manufacturing company can establish their business are Ghana
and Zimbabwe (Cattenone and et.al., 2019).
Analysis of % of population with access to Electricity
The third analysis is % of population with access to electricity. It can analyse that the
given data provide the information of the population which have the access of electricity. The top
three country whose population have most number of access to the electricity are Ghana,
Cameroon and the third one is Zimbabwe. By the help of this data the manufacturing company
can analyse the profit earning opportunities. It means that the manufacturing company can open
their branches in these countries through they can provide their services to the people of these
countries and earn maximum profit for their smooth running of business in future (Park and
et.al., 2021).
Analysis of Intentional Homicides
The next and last analysis is the analysis of intentional homicide. It means killing of a
person intentionally. It is very important for the business to find out the crime rate of the
countries because by the help of this information the companies can take a better decision for
their future growth. The most number of crimes happened in the country called as Zimbabwe.
The next country which coming after that is Zambia. In these two the manufacturing company
should not have open their business because it can affect the goodwill of the company in future.
The three country in which the crime is very low is Cameroon, Ethiopia and Ghana. It seems that
the Ethiopia is a country in which there is a very low crime rate. In the last 17 years except the
year 2012. The crime rate was zero. SO it can observe that the manufacturing company can start
their business branch in this country (Zhang and et.al., 2019).
Analysis of CO2 emissions
The Intergovernmental Panel for Climate Change (IPCC) pointers on country wide
emissions accounting and reporting are written on the idea of primarily production based, instead
of primarily consumption-based emissions. These are the standards followed across the world for
reporting of emissions.
Carbon dioxide emissions from fossil gas combustion have been nearly 0 previous to 1750. The
United Kingdom turned into the world's first industrialized country and primary fossil-gas CO2
and Zimbabwe (Cattenone and et.al., 2019).
Analysis of % of population with access to Electricity
The third analysis is % of population with access to electricity. It can analyse that the
given data provide the information of the population which have the access of electricity. The top
three country whose population have most number of access to the electricity are Ghana,
Cameroon and the third one is Zimbabwe. By the help of this data the manufacturing company
can analyse the profit earning opportunities. It means that the manufacturing company can open
their branches in these countries through they can provide their services to the people of these
countries and earn maximum profit for their smooth running of business in future (Park and
et.al., 2021).
Analysis of Intentional Homicides
The next and last analysis is the analysis of intentional homicide. It means killing of a
person intentionally. It is very important for the business to find out the crime rate of the
countries because by the help of this information the companies can take a better decision for
their future growth. The most number of crimes happened in the country called as Zimbabwe.
The next country which coming after that is Zambia. In these two the manufacturing company
should not have open their business because it can affect the goodwill of the company in future.
The three country in which the crime is very low is Cameroon, Ethiopia and Ghana. It seems that
the Ethiopia is a country in which there is a very low crime rate. In the last 17 years except the
year 2012. The crime rate was zero. SO it can observe that the manufacturing company can start
their business branch in this country (Zhang and et.al., 2019).
Analysis of CO2 emissions
The Intergovernmental Panel for Climate Change (IPCC) pointers on country wide
emissions accounting and reporting are written on the idea of primarily production based, instead
of primarily consumption-based emissions. These are the standards followed across the world for
reporting of emissions.
Carbon dioxide emissions from fossil gas combustion have been nearly 0 previous to 1750. The
United Kingdom turned into the world's first industrialized country and primary fossil-gas CO2
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emitter. In 1751, its emissions have been less than 10 million tonnes – 3600 times less than
worldwide emissions today. It can be concluded that emissions previous to 1750 have been very
low and inconsequential to what is examined at present. The records for the data of annual CO2
emissions come from the Carbon Dioxide Analysis Center (CDIAC) and the Global Carbon
Project (Sato and et.al., 2019).
After analysing all the countries. Co2 emission analysis is about carbon footprints
emission, if higher it would be difficult to operates as there may an uncertain risk, laws imposed
by government. As the the graph, Zimbabwe is top of the list emitting highest co2 gases with
highest of 0.61 and lowest of 0.92, Ethiopia a country with least amount of gases, lowest of 0.06
and 0.14 being highest. The decision will based upon the amount of emission and change in
percentage. Ethiopia would be the first choice to setup an operation there, 0.1 average emission
and 1.3% increases in amount of emission. Cameroon rate of changes is decreasing therefore,
this a viable option to operate. Zimbabwe's emission is least from the remaining ones so this
would be the third option (Styrkarsdottir and et.al., 2018).
Analysis of ease of doing business data
This is type of index (EoDB index) which is a rating machine set up by the World Bank
Group. In this EODB index, better scores suggest better, normally simpler, policies for agencies
and more potent protections of assets rights. It is an overall figure that consists of exceptional
parameters which outline the convenience of doing commercial enterprise in a nation. It is
computed with aggregating the gap to frontier ratings of various economies. The distance to
frontier rating makes use of the `regulatory quality practices` for doing commercial enterprise
because the parameter and benchmark economies consistent with that parameter. For each sign
that form part of the statistic Ease of doing business, a distance to frontier rating is computed and
all of the ratings are aggregated. The aggregated rating will become the Ease of doing business
index. Distance to frontier is computed for such indicators which encompass construction
permits, registration, getting credit, tax charge mechanism etc. Countries are ranked as consistent
with the index (Deb and Lee, 2018).
The graph of “Ease of doing business'' talks about the simplicity to operate business in
the particular countries. Cameroon and Ethiopia are difficult in ease of doing business as their
percentage in lesser than 55%. Zambia being at the top of the chart with more the 60%, 57% of
worldwide emissions today. It can be concluded that emissions previous to 1750 have been very
low and inconsequential to what is examined at present. The records for the data of annual CO2
emissions come from the Carbon Dioxide Analysis Center (CDIAC) and the Global Carbon
Project (Sato and et.al., 2019).
After analysing all the countries. Co2 emission analysis is about carbon footprints
emission, if higher it would be difficult to operates as there may an uncertain risk, laws imposed
by government. As the the graph, Zimbabwe is top of the list emitting highest co2 gases with
highest of 0.61 and lowest of 0.92, Ethiopia a country with least amount of gases, lowest of 0.06
and 0.14 being highest. The decision will based upon the amount of emission and change in
percentage. Ethiopia would be the first choice to setup an operation there, 0.1 average emission
and 1.3% increases in amount of emission. Cameroon rate of changes is decreasing therefore,
this a viable option to operate. Zimbabwe's emission is least from the remaining ones so this
would be the third option (Styrkarsdottir and et.al., 2018).
Analysis of ease of doing business data
This is type of index (EoDB index) which is a rating machine set up by the World Bank
Group. In this EODB index, better scores suggest better, normally simpler, policies for agencies
and more potent protections of assets rights. It is an overall figure that consists of exceptional
parameters which outline the convenience of doing commercial enterprise in a nation. It is
computed with aggregating the gap to frontier ratings of various economies. The distance to
frontier rating makes use of the `regulatory quality practices` for doing commercial enterprise
because the parameter and benchmark economies consistent with that parameter. For each sign
that form part of the statistic Ease of doing business, a distance to frontier rating is computed and
all of the ratings are aggregated. The aggregated rating will become the Ease of doing business
index. Distance to frontier is computed for such indicators which encompass construction
permits, registration, getting credit, tax charge mechanism etc. Countries are ranked as consistent
with the index (Deb and Lee, 2018).
The graph of “Ease of doing business'' talks about the simplicity to operate business in
the particular countries. Cameroon and Ethiopia are difficult in ease of doing business as their
percentage in lesser than 55%. Zambia being at the top of the chart with more the 60%, 57% of

Ghana, followed by Zimbabwe at 55%. these would the countries where ease of doing business
would be high as it is usually simpler, regulations for businesses and stronger protections of
property rights.
Analysis of human rights
The maximum crucial function of the guideline of thumb of regulation in shielding
human rights is in its test on strength. There may be no human rights if the moves of presidency
or companies or different effective actors are left unconstrained with the aid of using the
regulation. At the coronary heart of the guideline of thumb of regulation is the concept that no
person is above the regulation, and no person is below its protection (Maiorino and et.al., 2020).
That the rights of the impoverished, the minority, the migrant, the prisoner, can be covered in
opposition to attacks even with the aid of using the maximum effective, the maximum wealthy,
and with the aid of using the authorities itself. In this sense, the guideline of thumb of regulation
is each sword and guard within the reason of human rights (Bifet and et.al., 2018).
There is not any rule of regulation inside societies if human rights are not covered and
vice versa, human rights can't be covered in societies with out a robust rule of regulation. The
rule of regulation is the implementation mechanism for human rights, turning them from a
precept right into a reality. The rule of regulation and human rights are facets of the identical
precept, the liberty to stay in dignity. The rule of regulation and human rights consequently have
an indivisible and intrinsic dating. That intrinsic dating has been absolutely diagnosed with the
aid of using Member States because the adoption of the Universal Declaration of Human Rights
(Somvanshi and et.al., 2020).
When companies honour human rights, they show their commitment to building
sustainable and mutually beneficial relationships with those who influence or are impacted by
their operations, including customers, communities, workers and investors therefore due to the
positive impact of human rights on business. A business should operate where there is high value
of human right, in world bank graph of human right Ethiopia, Zimbabwe and Cameroon are at
top 3 bars in human right graph with highest 9 of Zimbabwe and Ethiopia and 8.3 of Cameroon
(Wu and Cui, 2018).
would be high as it is usually simpler, regulations for businesses and stronger protections of
property rights.
Analysis of human rights
The maximum crucial function of the guideline of thumb of regulation in shielding
human rights is in its test on strength. There may be no human rights if the moves of presidency
or companies or different effective actors are left unconstrained with the aid of using the
regulation. At the coronary heart of the guideline of thumb of regulation is the concept that no
person is above the regulation, and no person is below its protection (Maiorino and et.al., 2020).
That the rights of the impoverished, the minority, the migrant, the prisoner, can be covered in
opposition to attacks even with the aid of using the maximum effective, the maximum wealthy,
and with the aid of using the authorities itself. In this sense, the guideline of thumb of regulation
is each sword and guard within the reason of human rights (Bifet and et.al., 2018).
There is not any rule of regulation inside societies if human rights are not covered and
vice versa, human rights can't be covered in societies with out a robust rule of regulation. The
rule of regulation is the implementation mechanism for human rights, turning them from a
precept right into a reality. The rule of regulation and human rights are facets of the identical
precept, the liberty to stay in dignity. The rule of regulation and human rights consequently have
an indivisible and intrinsic dating. That intrinsic dating has been absolutely diagnosed with the
aid of using Member States because the adoption of the Universal Declaration of Human Rights
(Somvanshi and et.al., 2020).
When companies honour human rights, they show their commitment to building
sustainable and mutually beneficial relationships with those who influence or are impacted by
their operations, including customers, communities, workers and investors therefore due to the
positive impact of human rights on business. A business should operate where there is high value
of human right, in world bank graph of human right Ethiopia, Zimbabwe and Cameroon are at
top 3 bars in human right graph with highest 9 of Zimbabwe and Ethiopia and 8.3 of Cameroon
(Wu and Cui, 2018).

Analysis of corruption perceptions index
The Corruption Perceptions Index (CPI) is an index which ranks nations "with the aid of using
their perceived degrees of public sector corruption, as decided with the aid of using professional
tests and opinion surveys." The CPI usually defines corruption as an "abuse of entrusted strength
for personal gain". The index is posted yearly with the aid of using the non-governmental
organization Transparency International due to the fact that 1995. The Corruption Perceptions
Index ratings nations on degrees of corruptness. The CPI is launched yearly with the aid of using
Transparency International, an impartial non profit agency that targets to combat corruption,
specifically within the public sector. The method for measuring CPI is primarily based totally on
deciding on supply data, rescaling supply data, aggregating the rescaled data, and a statistical
degree indicating the extent of certainty. Low CPI rating suggests a excessive degree of
corruption even as better scores suggest a easy machine (Dufrost and et.al., 2018).
Experts recommend that corruption dangers the economically challenged and people who depend
closely on public offerings. Corruption is still a massive hurdle to political, monetary, and social
development. Those who're economically challenged are the maximum stricken by the results of
corruption and associated fraud. That's due to the fact they frequently depend closely on public
offerings and cannot have enough money to pay bribes. The International Finance Corporation
additionally cites will increase within the fee of commercial enterprise because of corruption.
Economic boom describes an growth in the amount and excellent of the monetary items and
offerings that a society produces and consumes (Lacorata and et.al., 2019).
While the definition of monetary boom is straightforward, it's far extraordinarily hard to degree
it. Growth is frequently measured as an growth in family profits or inflation-adjusted GDP,
however it's far critical to preserve in thoughts that this isn't the definition of it – similar to
lifestyles expectancy is a degree of populace health, however actually now no longer the
definition of populace health. Income measures are simply one manner to apprehend the
monetary inequality among nations and the converting prosperity through the years (Diez-Olivan
and et.al., 2019). The Gross Domestic Product (GDP) of an financial system is a degree of
overall production. More precisely, it's far the financial cost of all very last items and offerings
produced inside a rustic or area in a selected time period. Comparisons through the years and
The Corruption Perceptions Index (CPI) is an index which ranks nations "with the aid of using
their perceived degrees of public sector corruption, as decided with the aid of using professional
tests and opinion surveys." The CPI usually defines corruption as an "abuse of entrusted strength
for personal gain". The index is posted yearly with the aid of using the non-governmental
organization Transparency International due to the fact that 1995. The Corruption Perceptions
Index ratings nations on degrees of corruptness. The CPI is launched yearly with the aid of using
Transparency International, an impartial non profit agency that targets to combat corruption,
specifically within the public sector. The method for measuring CPI is primarily based totally on
deciding on supply data, rescaling supply data, aggregating the rescaled data, and a statistical
degree indicating the extent of certainty. Low CPI rating suggests a excessive degree of
corruption even as better scores suggest a easy machine (Dufrost and et.al., 2018).
Experts recommend that corruption dangers the economically challenged and people who depend
closely on public offerings. Corruption is still a massive hurdle to political, monetary, and social
development. Those who're economically challenged are the maximum stricken by the results of
corruption and associated fraud. That's due to the fact they frequently depend closely on public
offerings and cannot have enough money to pay bribes. The International Finance Corporation
additionally cites will increase within the fee of commercial enterprise because of corruption.
Economic boom describes an growth in the amount and excellent of the monetary items and
offerings that a society produces and consumes (Lacorata and et.al., 2019).
While the definition of monetary boom is straightforward, it's far extraordinarily hard to degree
it. Growth is frequently measured as an growth in family profits or inflation-adjusted GDP,
however it's far critical to preserve in thoughts that this isn't the definition of it – similar to
lifestyles expectancy is a degree of populace health, however actually now no longer the
definition of populace health. Income measures are simply one manner to apprehend the
monetary inequality among nations and the converting prosperity through the years (Diez-Olivan
and et.al., 2019). The Gross Domestic Product (GDP) of an financial system is a degree of
overall production. More precisely, it's far the financial cost of all very last items and offerings
produced inside a rustic or area in a selected time period. Comparisons through the years and
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throughout borders are complex with the aid of using price, excellent and foreign money
differences, as defined below (Fischer and Scholz-Böttcher, 2019).
From the long-time period attitude of social history, we recognise that monetary prosperity and
lasting monetary boom is a totally current success for humanity. In this access we can
additionally study this greater current time and also will examine the inequality among
exceptional regions – each in admire to the unequal degrees of prosperity these days and the
unequal monetary beginning factors for leaving the poverty of the pre-boom past.
CONCLUSION
From the above report it can be concluded that analysis of data is very important for the
business organisation. The above report includes the complete data analysis through which the
business organisation can open their branches in three African countries. It is because the
business organisation wants to expand their operations for earning huge profit for long period of
time. This report include various analysis like analysis of total labour force, Unemployment,
GDP, Access of electricity to the public, Intensive homicide and many more. Due to this the
organisation able to implement their business operation in the three new African countries so that
they can provide their services to the people of these country. This activity helps the business
organisation in improving their brand values so they can earn super profit and can create a
monopoly in the global market. After analysing the data of intensive homicides the organisations
can find determine the level of crimes in these countries so that they can safely establish their
new branches.
differences, as defined below (Fischer and Scholz-Böttcher, 2019).
From the long-time period attitude of social history, we recognise that monetary prosperity and
lasting monetary boom is a totally current success for humanity. In this access we can
additionally study this greater current time and also will examine the inequality among
exceptional regions – each in admire to the unequal degrees of prosperity these days and the
unequal monetary beginning factors for leaving the poverty of the pre-boom past.
CONCLUSION
From the above report it can be concluded that analysis of data is very important for the
business organisation. The above report includes the complete data analysis through which the
business organisation can open their branches in three African countries. It is because the
business organisation wants to expand their operations for earning huge profit for long period of
time. This report include various analysis like analysis of total labour force, Unemployment,
GDP, Access of electricity to the public, Intensive homicide and many more. Due to this the
organisation able to implement their business operation in the three new African countries so that
they can provide their services to the people of these country. This activity helps the business
organisation in improving their brand values so they can earn super profit and can create a
monopoly in the global market. After analysing the data of intensive homicides the organisations
can find determine the level of crimes in these countries so that they can safely establish their
new branches.

REFERENCES
Books and Journals
Heath, J. and et.al., 2018. “It's just more personal”: Using multiple methods of qualitative data
collection to facilitate participation in research focusing on sensitive subjects. Applied
Nursing Research. 43, pp.30-35.
Saini, N. and Singhania, M., 2018. Determinants of FDI in developed and developing countries:
A quantitative analysis using GMM. Journal of Economic Studies.
Cattenone, A. and et.al., 2019. Finite element analysis of additive manufacturing based on fused
deposition modeling: distortions prediction and comparison with experimental
data. Journal of Manufacturing Science and Engineering. 141(1).
Zhang, X. and et.al., 2019. DeepSpectra: An end-to-end deep learning approach for quantitative
spectral analysis. Analytica chimica acta. 1058, pp.48-57.
Sato, Y. and et.al., 2019. Data mining based on clustering and association rule analysis for
knowledge discovery in multiobjective topology optimization. Expert Systems with
Applications. 119, pp.247-261.
Deb, C. and Lee, S.E., 2018. Determining key variables influencing energy consumption in
office buildings through cluster analysis of pre-and post-retrofit building data. Energy
and Buildings. 159, pp.228-245.
Bifet, A. and et.al., 2018. Machine learning for data streams: with practical examples in MOA.
MIT press.
Wu, D. and Cui, Y., 2018. Disaster early warning and damage assessment analysis using social
media data and geo-location information. Decision support systems. 111, pp.48-59.
Dufrost, V. and et.al., 2018. Increased risk of thrombosis in antiphospholipid syndrome patients
treated with direct oral anticoagulants. Results from an international patient-level data
meta-analysis. Autoimmunity reviews. 17(10), pp.1011-1021.
Lacorata, G. and et.al., 2019. FSLE analysis and validation of Lagrangian simulations based on
satellite-derived GlobCurrent velocity data. Remote sensing of environment. 221,
pp.136-143.
Fischer, M. and Scholz-Böttcher, B.M., 2019. Microplastics analysis in environmental samples–
recent pyrolysis-gas chromatography-mass spectrometry method improvements to
increase the reliability of mass-related data. Analytical methods. 11(18), pp.2489-2497.
Somvanshi, S.B. and et.al., 2020. Influential diamagnetic magnesium (Mg2+) ion substitution in
nano-spinel zinc ferrite (ZnFe2O4): thermal, structural, spectral, optical and
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Styrkarsdottir, U. and et.al., 2018. Meta-analysis of Icelandic and UK data sets identifies
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Maiorino, M.I. and et.al., 2020. Effects of continuous glucose monitoring on metrics of glycemic
control in diabetes: a systematic review with meta-analysis of randomized controlled
trials. Diabetes Care. 43(5), pp.1146-1156.
Diez-Olivan, A. and et.al., 2019. Data fusion and machine learning for industrial prognosis:
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Books and Journals
Heath, J. and et.al., 2018. “It's just more personal”: Using multiple methods of qualitative data
collection to facilitate participation in research focusing on sensitive subjects. Applied
Nursing Research. 43, pp.30-35.
Saini, N. and Singhania, M., 2018. Determinants of FDI in developed and developing countries:
A quantitative analysis using GMM. Journal of Economic Studies.
Cattenone, A. and et.al., 2019. Finite element analysis of additive manufacturing based on fused
deposition modeling: distortions prediction and comparison with experimental
data. Journal of Manufacturing Science and Engineering. 141(1).
Zhang, X. and et.al., 2019. DeepSpectra: An end-to-end deep learning approach for quantitative
spectral analysis. Analytica chimica acta. 1058, pp.48-57.
Sato, Y. and et.al., 2019. Data mining based on clustering and association rule analysis for
knowledge discovery in multiobjective topology optimization. Expert Systems with
Applications. 119, pp.247-261.
Deb, C. and Lee, S.E., 2018. Determining key variables influencing energy consumption in
office buildings through cluster analysis of pre-and post-retrofit building data. Energy
and Buildings. 159, pp.228-245.
Bifet, A. and et.al., 2018. Machine learning for data streams: with practical examples in MOA.
MIT press.
Wu, D. and Cui, Y., 2018. Disaster early warning and damage assessment analysis using social
media data and geo-location information. Decision support systems. 111, pp.48-59.
Dufrost, V. and et.al., 2018. Increased risk of thrombosis in antiphospholipid syndrome patients
treated with direct oral anticoagulants. Results from an international patient-level data
meta-analysis. Autoimmunity reviews. 17(10), pp.1011-1021.
Lacorata, G. and et.al., 2019. FSLE analysis and validation of Lagrangian simulations based on
satellite-derived GlobCurrent velocity data. Remote sensing of environment. 221,
pp.136-143.
Fischer, M. and Scholz-Böttcher, B.M., 2019. Microplastics analysis in environmental samples–
recent pyrolysis-gas chromatography-mass spectrometry method improvements to
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