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ڈاکٹر محمد زبیر صدیقی

ڈاکٹرمحمد زبیر صدیقی
علمی اور اسلامی حلقے ڈاکٹر محمد زبیر صدیقی سے خوب واقف ہیں، ان کا عربی زبان اور اسلامی علوم کا مطالعہ بہت وسیع تھا۔ ان کے مقالات اور کتابیں اہلِ علم کے حلقہ میں قدر کی نظر سے دیکھی جاتی تھیں، تدوین حدیث پر ان کی کتاب السیر الحثیث بڑی محققانہ سمجھی جاتی ہے، تصنیف و تالیف کے ساتھ ان کی زندگی کا بڑا حصہ تعلیم و تدریس میں گزرا، پہلے کئی برس لکھنؤ یونیورسٹی کے شعبۂ عربی سے وابستہ رہے، پھر کلکتہ چلے گئے، اور تقریباً ۳۳ سال تک اسلامی تاریخ و تہذیب اور عربی و فارسی زبانوں کی تدریس و تحقیق میں مصروف رہے، عرصہ تک مدرسۂ عالیہ کے صدر، ایشیاٹک سوسائٹی کے نائب صدر اور ملک کی بہت سی یونیورسٹیوں اور علمی اداروں کے رکن بھی رہے، افسوس کے ۱۸؍ مارچ کو علم کا یہ چراغ گل ہوگیا، اﷲ تعالیٰ انہیں اپنی رحمتوں اور نوازشوں سے سرفراز فرمائے، اور ان کے عزیزوں، دوستوں اور شاگردوں کو صبر عطا فرمائے، اور ان کی راہ پر چلنے کی توفیق عطا فرمائے۔ (عبد السلام قدوائی ندوی، اپریل ۱۹۷۶ء)

ڈاکٹر محمد زبیر صدیقی
( پروفیسر مسعود حسن)
ایتھا النفس اجملی جزعا اِن ماتخذرین قد وقعا
اوس بن حجر کا یہ شعر سیکڑوں بار پڑھا ہوگا، لیکن استاذ محترم ڈاکٹر محمد زبیر صدیقی کی وفات ہوئی تو معلوم ہوتا تھا کہ شاعر نے اسی موقع کے لئے کہا ہے۔
ڈاکٹر صاحب ایک متبحر عالم قرآن و حدیث کے بالغ نظر نکتہ شناس وسیع النظر محقق، تجربہ کار ماہر تعلیم، بے مثل، استاد اور بلند مرتبت اور پروقار شخصیت کے انسان تھے۔
مرحوم بیماری اور کبرسنی کی وجہ سے بے حد کمزور ہوگئے تھے، اور کئی سال سے خانہ نشین تھے، گزشتہ سال اپریل میں ان کی حالت ایسی تشویش ناک ہوگئی تھی کہ نرسنگ ہوم میں داخل کرنا پڑا،...

Reduction of MERS-CoV Transmission among Healthcare Workers and Patients in Saudi Arabian Healthcare Settings: A Scoping Review

Background No review consolidating available evidence of the various interventions for preventing MERS-CoV transmission in healthcare settings has been published to inform practice. The MERS-CoV outbreak in Saudi Arabia led to wide-scale hospitalisations and, among other individuals at risk, healthcare workers (HCW) were one of the most affected groups. This study evaluates the effectiveness of various interventions implemented to prevent MERS-CoV transmission to HCW and MERS-negative patients in Saudi Arabian healthcare settings. Methods This review summarises and evaluates the effectiveness of MERS-CoV infection prevention and control (IPC) measures in Saudi Arabian hospital settings. Instead of using ‘best quality/evidence’ studies, the review has included as many relevant studies as possible. Results Various IPC measures were deemed effective. However, since no analysis of their effectiveness had been undertaken, it was not possible to determine the interventions’ level of effectiveness as applied in hospital settings. The studies appeared to rely on the assumption that the extent of MERS-CoV transmission control observed was a direct reflection of the implemented IPC measures. Conclusions Robust studies, using empirical methods, should be conducted to measure the effectiveness of the various IPC measures developed and implemented to control MERS-CoV transmission

Smart Routing Based on Ddos Detection With Intelligent Survivable Centric Network Agent

The DDoS attacks are the most common attacks of the network and the mechanism and nature of these attacks change day by day. DDoS attacks can simply exhaust the network communication resources, it cause the failure of the network within a less time. The fundamental technologies and network protocols have flaws and vulnerabilities that can open doors for attackers to attack the network. This problem is a hurdle for secure and reliable communication with in network. To overcome this issue, there is a need to create a more effective and accurate attack detection algorithm specifically for DDoS attack. Numerous attack detection mechanisms already developed to detect a DDoS attack in network. An effective attack detection mechanism that can provide the entire attack details is therefore required to overcome the problem. Additionally, need to develop such a diverse system to address not only DDoS attack details and also provide proactive measures to avoid the same kind of attacks in future by designing intelligent system. Therefore, in this thesis, we propose SRDD, a smart routing based DDoS detection system for entire network. In SRDD, the DDoS attacks can be detected at the initial phase. In this research, we have been developed a DDoS detection system which is based on decision tree algorithm to prevent the DDoS attack. The decision tree algorithm, include with signature based detection methodologies, perform automatic prediction, and provide effective detection of malicious traffic. The decision tree algorithm classifying the received packets and making a decision based on the classification of results. For validation of proposed system, selected some of other machine learning techniques and provide comparison with our proposed system. This proposed SRDD system evaluates the network resources and the traffic dataset in order to train the centric agent for detection system to detect legitimate and malicious traf?c. The proposed SRDD system allowed legitimate traffic to pass through network and malicious traf?c is ?agged malicious to go through detection system. Finally, the results are discussed in terms of accuracy, exposure and specificity. The system not only can identify the attacks, but also detect the attacker IPs and start a process of mitigation to provide very well protection of the network system at initial stage of an attack is identified. The proposed research focused on the security aspect of legacy protocols as the baseline for mapping our desired research objectives to align with intelligent survivable centric network agent.
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