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مولانا مفتی محمدظفیر الدین

مفتی ظفیرالدین مرحوم
افسوس کہ مولانا مفتی محمد ظفیرالدین مفتاحی اس دنیا سے ۳۱؍مارچ کو رخصت ہوگئے۔ ان کے انتقال سے ایک ایسی شخصیت سے محرومی کا احساس ہوا جس کی ساری زندگی علوم اسلامیہ کی تحصیل، ترویج اور تبلیغ کے لیے وقف رہی۔ مفتی کا لفظ گویا ان کے نام کا جزو ہوگیا، کیونکہ وہ دارالعلوم دیوبند کے دارالافتاء سے برسوں وابستہ رہے لیکن اصلاً وہ صاحب قلم عالم تھے، تصنیف و تالیف کی خوبی کہنا چاہئے ان میں بدرجۂ اتم موجود تھی، دیوبند کے فتاوی کی ایک درجن جلدوں کو انہوں نے بڑے سلیقے سے مرتب کیا لیکن علمی دنیا میں ان کی شناخت بلکہ اعتبار و اعتماد، اسلام کا نظام عفت و عصمت، اسلام کا نظام مساجد، اسلام کا نظام امن، اسلامی نظام معیشت جیسی نہایت مفید اور معلومات سے لبریز کتابوں سے قائم ہوا۔ نظام مساجد کی تالیف میں ان کو مولانا سید سلیمان ندوی، مولانا حبیب الرحمن اعظمی، مفتی عتیق الرحمن عثمانی اور مولانا مناظر احسن گیلانی رحمہم اﷲ کی توجہ اور رہنمائی حاصل ہوئی، انہوں نے جس سلیقے اور محنت سے یہ کتاب سپرد قلم کی اور معلومات کا قیمتی ذخیرہ اس میں جمع کیا اس کی داد مولانا گیلانی نے یہ کہہ کردی کہ ’’عربی میں شام کے ایک عالم جمال الدین القاسمی کی کتاب اس باب میں مشہور تھی مگر خیال ہے کہ احتواء و احاطہ میں مولانا ظفیر الدین کی کتاب کو دیکھ کر کم ترک الاول للاخرہ، کا اعتراف کرنا پڑتا ہے، اسی طرح ان کی ایک کتاب حیات مولانا گیلانی پر مولانا سیدابوالحسن علی ندوی نے لکھا کہ فاضل مصنف کی اس کتاب پر پیش لفظ لکھنے میں سعادت و عزت کا جو احساس اور قلبی مسرت حاصل ہورہی ہے وہ کم مواقع پر حاصل ہوئی، مولف کی ایک کتاب امارت شرعیہ کے مقدمے میں حضرت...

Relationship on Nursing Performance of Patient Satisfaction in Installation of Hospital in General Hospital Deli Serdang Region

Patients assess the efficiency of nursing care by the fulfillment of their desires. This thesis was to identify the correlation between nurses' inpatient service quality and patient satisfaction. Quantitative and cross-sectional research This sample was made up of all patients admitted to the Deli Serdang Hospital, which indicates that about 320 patients were hospitalized for [for an average of] 3 days.5 days. As many as 77 human population samples of which were chosen to be included in the study All data derived from interviews and observations using a statistical model with a 5% significance level of probability, evaluated using the Multiple Linear Regression Approach The multiple logistic statistical evidence indicates that the influence of the vector service efficiency (p = 0.016) and connectivity (p = 0.016) is important (p = 0.043) on patient satisfaction. The level of contact has the biggest impact on patient satisfaction at The general ward in the Dedun restorative In-Patient Deli Serdang Hospital The results of this study are that service quality, connectivity, tempo, and capacity have an impact on customer satisfaction.

Development of Air Quality Model for Predicting Air Pollution in Major Cities

The purpose of this work was to examine the level of major air pollutants and their future prediction in four major cities namely Karachi, Hyderabad, Nawabshah and Sukkur of Sindh province. The cause of pollution in the cities is due to population growth, unplanned urbanization, and congested transportation, commercial and industrial activities. The main parameters considered in this study were particulate matter (P.M) P.M2.5, P.M10, carbon dioxide (CO2), carbon monoxide (CO), oxides of nitrogen (NOx) and oxides of sulfur (SOx). A total of twenty locations were selected in Karachi, fifteen in Hyderabad, and ten each in Nawabshah and Sukkur. The selection of locations was made on the basis of traffic congestion, commercial activities and industrial establishments. The pollutants level was measured at different time intervals of the day such as morning, noon and evening on the basis of daily life human activities. The data was collected for a whole year with the help of PM meter, Ambient Air Quality meter, and Nitrogen and Sulfur Analyzers. OpenAir Model was used to determine the growth rate and future prediction of air pollutants. The predictions were made from year 2015 to 2050 with an interval of five years. Out of twenty selected locations of Karachi, four places namely Al Asif Square, North Nazimabad, Nursary and Star Gate were found more affected due to higher level of air pollutants where the average concentration of P.M2.5, P.M10, CO and CO2 were higher than permissible limits. Similarly, the level of P.M2.5, P.M10, and CO2 at Numaish Chorangi, Do Talwar and Clifton was higher than the permissible NEQS levels. The concentration of NOx was higher at North Nazimabad, Nursary and Star Gate locations and SOx were found lower than NEQS. It was revealed that the Sea View location was free from the air pollutants, may be due to lower traffic load and sea breeze which may transport air pollutants towards city. In Hyderabad city, the concentration of P.M2.5, P.M10, and CO2 at five locations namely Hala Naka, Hyderabad By-Pass, Nasim Nagar, City Gate and Market Tower were higher, whereas, theair pollutants level were lower than the permissible NEQS levels at all other locations. In Nawabshah city, the concentration of P.M2.5 was higher only at Mohni Bazar and P.M10 was higher than the permissible levels at all locations of Nawabshah city. The level of CO, NOx and SOx were found within permissible NEQS level at all locations of the city. In Sukkur city, the concentration of P.M2.5, P.M10, and CO2 was found higher at High Court Road, Eid Gah Road and Station Road than permissible levels at all five locations. The level of CO, NOx and SOx were within NEQS. OpenAir Model was used for determination of growth rate and future prediction of air pollutants. It was discovered from predicted model results that the growth rate of pollutants, such as P.M2.5, P.M10, CO2, CO, NOx and SOx varies from 1.0% to 4.0%, 0.5% to 1.5%, 1.0% to 6.0%, 1.0% to 4.0%, 1.0% to 4.0% and 1.0 to 4.0% respectively. It is concluded from the study that the level of P.M2.5, P.M10were found higher and CO2 and CO was almost within permissible levels in all selected cities, whereas, the level of NOx and SOx were found higher at most of the places in Karachi only. The model results predicted that concentration of pollutants will be at alarming level up to year 2050 if the growth rate of population, industrialization and transportation is continued. The findings of this work provide a baseline data and future predictions of air pollution level of four major cities of Sindh province. It will help the regulatory authorities to make effective policies for reduction of air pollutants and take measures for replacement of fossil fuels with environmental friendly fuels.
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