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The Thermodynamics of Column Chromatography

Thesis Info

Author

Arshad Ali

Department

Deptt. of Chemistry, QAU.

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

1971

Thesis Completion Status

Completed

Page

90

Subject

Chemistry

Language

English

Other

Call No: DISS/M.Phil CHE/84

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676715448037

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The Immensely Merciful to all, The Infinitely Compassionate to everyone.

44:01
a. Ha. Mim.

44:02
a. By the Book of Divine Qur’an - clear in itself and clearly guiding to the truth.

44:03
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b. Because with it WE had planned to warn people.

44:04
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44:05
a. – by OUR Command.
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44:06
a. - as a Mercy from your Rabb - The Lord to humankind.
b. Indeed, HE - HE is The All-Listening of their sayings, The All-Knowing of their actions.

44:07
a. Rabb - The Lord of the celestial realm and the terrestrial world and whatever is between them,
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44:08
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44:09
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Comparative Analysis of Classifiers for Prediction of Epileptic Seizures

Epilepsy is a neurological disease in which people suffer from seizure attack and lose the normal function of brain. Almost 50 million people have epilepsy in the world due to which it has become the most common neurological disease. Early prediction of epilepsy helps patients to avoid epilepsy and live normal life. Many studies have been conducted for the early prediction of epilepsy. However, selection of the most appropriate classifier has always been a question that needs to be resolved. In this study, we are using six classifiers of machine learning which are KNN, Naïve Bayes, Linear Classification Model, Discriminant Analysis Model, Support Vector Machine and Decision Tree, to find the best classifier for the prediction of epileptic seizures, in term of accuracy. Dataset from “Kaggle” was used. Preprocessing and cross-validation of the data was carried out for training and testing of classifiers. The results depict that Naive Bayes classifier has a better average accuracy of 95.739% as compared to other classifiers. The future work of this study is to implement the suggested model in real time, so that the workload of medical members could be reduced.

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South Asia’s strategic stability is embroiled with deep rooted trust deficit, technological arms race, sub-conventional war trends and evolving doctrines. In the absence of sustainable dialogue process, the strategic anxieties of both India and Pakistan have consolidated into aggressive force postures leaving little room for shared learning. Instead of forging grounds to seek resolution to the bilateral disputes (complex learning), both states have adapted new means to pursue their existing state policies (simple learning). The drivers of nuclear learning in South Asia are primarily assessed at three levels of analyses i.e. individual, organizational level which directly affects the third tier i.e. the state level. Over the years, the state institutions in two countries have evolved following parochial interests eventually giving birth to rigid organizational cultures. Moreover, the idiosyncratic role of key decision makers remained vital in determining the military crises in both pre and post-1998 eras. Each military crisis is different in its backdrop, occurrence and termination from its preceding event. The reason being, each military crisis taught different lessons to either state, subject to different interpretations drawn by the decision makers on both sides. Hence, unlearning at the individual level is responsible for shaping a peculiar strategic culture of South Asia promoting crisis instability. It is important to explore the factors determining crisis behavior in the region while the two states have operationalized their deterrent capabilities and pursuing assured second strike pathways. Ideally, the acquisition of nuclear weapons should have inculcated enough confidence in both states to transform their ‘enduring rivalry’into a new relationship having greater credence on nuclear deterrence. In reality, both states have used nuclear shield to pursue their existing state practices thus, complicating deterrence stability in the region (stability- instability paradox).The study analyses the lag in nuclear learning as a determinant of crisis instability. One of the key levels of analysis is the individual level reiterating the role of strong personalities operating at different tiers of decision making remained involved in crises eruption. Interestingly, the ‘culture of secrecy’that shrouded in the development of nuclear programs of both the countries is eventually found a key factor for confining the nuclear decision making circle. This explains the inconsistent policies and risk prone behavior as a direct outcome of nuclear unlearning by the state due to incompetent judgment of the individuals facing security paranoia and organizational pathologies in the concerned bureaucracies. The recurrence of military crises is explained through the prism of nuclear learning, constructivism and cognitive dissonance in shaping a strategic culture conducive for crisis instability.