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دنیا دی حقیقت

دنیا دی حقیقت
حسن جوانی دا اے روپ نہیوں رہنا
ہک دن آسی، توں ہے دکھاں وچ پینا

کرسی وفا تیرے نال نہ جوانی
ٹر جاوے ہک واری پھر ناں ایہہ آنی
ایہہ تیری مغروری ساری ٹٹ جانی
پانی والی لہر وانگوں زندگی نے وہنا
حسن جوانی دا اے روپ نہیوں رہنا

ماں تیری ہر گل کردی ہے پوری
ہتھاں نال ٹورے تینوں اوہدی مجبوری
ہک دن چھڈنا جہان اے ضروری
نیکیاں دا پا لَے توں گل وچ گہنا
حسن جوانی دا اے روپ نہیوں رہنا

نخرے نیں چار دن فیر پچھتانا
حسن گیا تے گیا سب یارانا
عشق حقیقی نے ای ساتھ نبھانا
قادریؔ سائیں دا توں من لَے کہنا
حسن جوانی دا اے روپ نہیوں رہنا

چڑھدی جوانی بڑا شور ہے مچایا
چوڑیاں تے جھانجھراں نے دل بہلایا
حسن دے پچاریاں نوں بڑا توں ستایا
روپ والے بت تیرے ہک دن ڈھہنا
حسن جوانی دا اے روپ نہیوں رہنا

قادریؔ ایہہ محفلاں نہ ایہہ ویلے آنے
نویں ایتھے آ گئے ، پرانے ٹر جانے
اگے والی سوچ، گل کہندے نیں سیانے
سدا نہیوں جوبنے تے ایہہ رنگ رہنا
حسن جوانی دا اے روپ نہیوں رہنا

ریاست قلات میں نظام قضاء کا تحقیقی جائزہ

In Islam the system of Judiciary halds an immense importance the judiciary after faith is counted as an important obligation amongst all other obligations and is eminent and virtous amongst all outs of worships. The virue of judiciary is mentioned at hundreds of places in the Quran and in the Ahadiths. The Progression of the system of judiciary has been hard from the begning of the prophet hood, during the Rashidun ealiphale and is promulgated till tody. Before the existence of Pakistan there were many states amongst which one was the state of Kalat. Where the Baloch Government was setup in 1530 Meer Ahmed Yar Khan was elected as the Khan of Kalat. Who at the very Beginning laid the foundation of the system of judiciary? The details about this would be discussed in the article ahead. The Government of Balochs was set up in Kalat the foundation of system of judiciary here was first of all laid by Mir Ahmed Yar Khan. First of all juges were appointed in every district.

Numerical Simulations of Fractional Order Nonlinear Dynamical Systems

Mathematical models play a role in analyzing and control infectious diseases in a population. These models construction clarifies assumptions, variables and parameters, and provide conceptual insights such as thresholds and basic reproduction numbers for various infectious diseases. Some very important theories are built and tested, some quantitative speculations are made and some specific questions are answered with the help of mathematical models. This leads to a better strategy for overcoming the transmission of diseases.For the last twenty years, chaos theory has brought about a valuable association between mathematicians and researchers in bio-medical sciences. Such association has described a biomedical system with ordinary and fractional order mathematical model usually consists of a nonlinear ordinary or fractional order differential equation or system of non-linear ordinary or fractional order differential equations. The fractional order mathematical model is used to predict the behavior of corresponding bio-medical system. The model must be investigated to guarantee that it does not foresee chaos in the bio-medical system under examination, when chaos is not actually present in the system. The mathematician must further confirm that any method used to solve the fractional order mathematical model does not envisage chaos when chaos is not a feature of the bio-medical system. The contrived chaos can be avoided and stability can be retained using implicit methods instead of using explicit numerical methods. In recent years, fractional differential equations have become one of the most important topics in mathematics and have received much consideration and growing curiosity due to the options of unfolding nonlinear systems and due to their prospective applications in physics, control theory, and engineering. The generalization is obtained by changing the ordinary derivative with the fractional order derivative. The benefit of fractional differential equation systems is that they allow greater degrees of freedom and incorporate the memory effect in the model. Due to this fact, they were introduced in epidemiological modeling systems. The main reason for using integer order models was the absence of solution methods for fractional differential equations. Various applications, like in the reaction kinetics of proteins, the anomalous electron transport in amorphous materials, the dielectrical or mechanical relation of polymers, the modeling of glass forming liquids and others, are successfully performed in numerous research works.The physical and geometrical meaning of the non-integer integral containing the real and complex conjugate power-law exponent has been proposed. Since integer order differential equations cannot precisely describe the experimental and field measurement data, as an alternative approach, non-integer order differential equation models are now being widely applied. The advantage of fractional-order differential equation systems over ordinary differential equation systems is that they allow greater degrees of freedom and incorporate memory effect in the model. In other words, they provide an excellent tool for the description of memory and hereditary properties which were not taken into account in the classical integer order model.In the present research work, we developed and investigated fractional order numerical techniques for the solution of fractional order models for infectious diseases, whose fixed points will be seen to be the same as the critical points of model equations and to have the same stability properties. These techniques will numerically analyze the behavior of solution of the fractional order models, stability analysis of the steady states and threshold criteria for the epidemics. The proposed techniques may be used with arbitrarily fractional order, thus making them more economical to use when integrating for arbitrary fractional order and may preserve all the essential properties like dynamical consistency, positivity and boundedness, of the corresponding fractional order dynamical systems.
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