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Comparative Study of the Antimicrobial and Antioxidant Properties of Different Pakistani Honey Samples in Vitro

Thesis Info

Author

Hira Fahim

Department

Department of Biological Sciences, QAU

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2013

Thesis Completion Status

Completed

Page

130

Subject

Biological Sciences

Language

English

Other

Call No: Diss. M.Phil / BIO / 3196

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676716229905

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مرزا محمد عسکری

مرزا محمد عسکری
افسوس ہے کہ گزشتہ مہینہ اردو زبان کی صف میں دوممتاز جگہیں خالی ہوگئیں، اور مرزا محمد عسکری اور مولوی مہیش پرشاد ہم سے جدا ہوگئے، مرزا صاحب مرحوم قدیم مشرقی تہذیب کا نمونہ، لکھنو کی پرانی بزم ادب کی یادگار، اردو زبان و ادب کے صاحب ذوق و نکتہ سنج ادیب اور متعدد کتابوں کے مصنف و مترجم تھے، ان کی سب سے بڑی علمی یادگار بابو سکسینہ کی تاریخ ادبیات اردو کا ترجمہ ہے، اس میں انھوں نے اتنے اضافے کئے ہیں، اور اس کو اس طرح اردو کے قالب میں ڈھالا ہے کہ اس کی حیثیت تصنیف کی ہوگئی ہے، جس طرح جناب صفی اور آرزو پر لکھنو کی قدیم بزم شاعری کا خاتمہ ہوگیا، اسی طرح مرزا صاحب کی وفات سے اس دور کی بزم ادب کی آخری یادگار مٹ گئی اب وہ تہذیب ہی ختم ہوگئی، وہ سانچہ ہی بدل گیا جس میں تہذیب و شائستگی اور ذوقِ ادب کے یہ نمونے ڈھلتے تھے، اس لئے آئندہ ان کے پیدا ہونے کی امید نہیں اور ان کی جو جگہ بھی ہوگی، وہ خالی ہی رہے گی۔ (شاہ معین الدین ندوی، اکتوبر ۱۹۵۱ء)

Cryptocurrency Business Covers the Psychological Impact of the Business Market on the Youth Segment

In comparison to the production of physical currency, e-money is a commodity that is provided by banks or financial-sector firms, such as paypal. Then the transaction and investment processes shifted with technical advancements. Today, cryptocurrencies seem to render commerce and transaction structures simpler. The invention of electronic money would help young people expand, given the universal usage of transaction resources to promote goods owned by business owners in all international countries. The blockchain mechanism will operate separately, apart from the transaction speed, without any agency regulating or manipulating all continuing transactions.

Context Addition in Wireless Sensor Networks

The property of any artifact for being aware of its physical environment or situation and responding in a proactive and intelligent manner is the Context Awareness typically realized through Context Aware Applications (CAA)—an exceptional genus of WSNs. Although almost each CAA follows sense-decide-adapt cycle, the notion of context is hardwired into the applications. In such sort of mechanism when an event is triggered the sense-decide-actuate cycle runs and performs the required actuation. In the situations, for instance, whenever the same event is triggered, the cycle produces same actuation by using same context semantics, situational recognition, perception and adaptation, posing same processing load, delay and mechanical use of resources for acquiring same amount of actuation. In this thesis we propose CRAM, a context added system in which the actuations once performed by the system help the system to internally evolve by serving as new contexts. As the system is exposed to more situations overtime, its context repository is enriched through such retrospective contexts, gradually letting it perform internal actuation through improved introspective contexts. This internal actuation leads the system towards the evolution of intelligent processing by reducing the independent function of decision in sense-decide-actuate cycle and merging it with new context. Finally it reaches at a juncture where the recurrence of each event proves to be a stimuli that stimulates the system to respond through primed memory of introspective contexts achieving an imitation of learned reflex action and a cut through processing paradigm along with reduced time and energy expenditure. Through analytical modeling and prototype implementation, the performance of CRAM is substantiated. The implementation of reflex arc is shown to provide the same level of accuracy for visual context processing as that of contemporary context aware systems with more than 10 times improvement in responsiveness.