ڈاکٹر میرولی الدین
حیدرآباد کی ایک اطلاع سے یہ معلوم کرکے بہت افسوس ہواکہ ڈاکٹر میرولی الدین صاحب کاانتقال ہوگیا۔ مرحوم کی عمر۸۰کے لگ بھگ ہوگی۔ان کا مرتبہ انڈوپاک کے مصنفین میں بہت بلند تھا۔ دراصل ان کا مضمون فلسفہ تھا جس کے پروفیسر اورصدرشعبہ وہ ایک عرصہ تک جامعہ عثمانیہ میں رہے اوروہیں سے سبکدوش ہوئے۔ لیکن تصوف کے ساتھ ان کو بڑاگہرالگاؤ تھا علمی اور نظری اعتبار سے نہایت وسیع المطالعہ ہونے کے ساتھ وہ عملاً بھی ایک بلندپایہ صوفی تھے۔ایک مرتبہ کلکتہ میں ایک ہفتہ تک وہ راقم الحروف کے مہمان رہے تواس مدت میں کوئی ایک دن بھی ایسا نہیں تھا جب کہ وہ تہجد کے لیے بیدار نہ ہوئے ہوں اور نمازکے بعد صلاۃ فجر تک اوراد و وظائف میں مشغول نہ رہے ہوں۔ انھوں نے انگریزی اوراردو تصنیفات وتالیفات کاایک عظیم ذخیرہ چھوڑاہے۔ان میں سے ہرتصنیف ایک سے ایک بڑھ کر ہے۔ندوۃ المصنفین اوراس کے ارکان کے ساتھ ان کو بڑا مخلصانہ اورمشفقانہ تعلق تھا چنانچہ اس ادارے میں ان کی متعدد کتابیں چھپی ہیں اور مقبول عام وخاص ہوئی ہیں۔ادھر کئی سال سے وہ بے حد کمزور اورضعیف ہوکر خانہ نشین ہوگئے تھے مگر تصنیف وتالیف کامشغلہ پھربھی جاری تھا۔ اﷲ تعالیٰ ان کے مراتب ومدارج بڑھائے اوران کوجنت الفردوس نصیب ہو۔ [دسمبر۱۹۷۵ء]
Social anxiety is the fear of interaction with other people that brings on self-consciousness, feelings of being negatively judged and evaluated, and, as a result, leads to avoidance. Social anxiety is the fear of being judged and evaluated negatively by other people, leading to feelings of inadequacy, inferiority, embarrassment, humiliation, and depression. The major causes of Social anxiety are Rights abuses, Provocation, corruption, murder, Law-lessens, nepotism, Prejudices, grouping, Propaganda and carelessness. All of these things are causes of the destruction of a prosperous society. Because of these each individual of society remains restive and society become victims of violence. In this paper the social anxiety conditions and its solution will be described in detail in the light of seerah.
Various applications have been developed to realize smart homes with wirelessly connected devices, e-health care, and environmental and industrial monitoring by using wireless sensor networks (WSNs). Most of the sensing devices in WSNs operate on limited battery power as their only energy source. Therefore, any energy optimization scheme can lead to significant improvement in the lifetime of such networks. The sensor nodes consume their energies on sensing, processing, and transfer of data. Most of the energy is consumed by the radio communication used for transmission of data among the nodes. The pattern of data transfer in ad hoc networks, such as WSNs, is totally relied on multi-hop communication in which each node needs cooperation and coordination of other nodes. In multi-hop communication, most of the times nodes offer relaying services to each other, which in return severely increase their power consumption. Due to such situation, some nodes adopt a non-cooperative behavior by not offering any relay service to others. Non-cooperative or selfish nodes try to lengthen their lives by preserving energies for their own data transfer. Such behavior can reduce the level of collaboration among the nodes, which ultimately reduces the performance of the entire network. A WSN may face various issues such as increased end-to-end delays, unbalanced workload, non-availability of optimal routes and declined lifetime due to the existence of selfish nodes in it. Various techniques have been introduced to overcome the issue of selfish nodes in a network. The most effective and modern type of mechanism is to design an incentive-based framework. By using the incentive-based mechanisms, the nodes may be stimulated for cooperation with one another and the overall network performance can be improved. In most of the researches these incentives are some values referred to as virtual currency, money, points or scores. These values are exchanged for getting relaying services among the nodes. Each node tries to collect an adequate amount of such values so that it may easily transmit its own data towards the based station (BS). In this work, we propose an incentive-based mechanism which is based on the fundamental parameters of nodes and their placement in the network. The incentives, called as scores, are initially generated by the BS and then the nodes pay and collect these scores during the data transmission. The BS intelligently determines and assigns scores to nodes according to their features. Moreover, a node blocking mechanism is also introduced by using a card system. Each node is given a card according to its importance and participation level in the network. A novel technique for computing nodes’ individual importance is also designed by introducing a new term i.e. closed neighbors. A set of closed neighboring nodes can be considered those nodes which take relatively similar relay request due to their shorter distance with each other. This work has been simulated in MATLAB and NS2 for validation and comparison with other protocols. Results show that our proposed mechanism outperforms as compared with other experimented protocols.