مولانا عبدالباری حاوی
افسوس ہے گذشتہ ماہ ہمارے نہایت فاضل دوست مولانا عبدالباری صاحب حاویؔ نے بھی ہوائی جہاز کے ذریعہ حج کے ارادے سے جاتے ہوئے ظہران میں وفات پائی۔انا ﷲ وانا الیہ راجعون ۔مولانا وانمباڑی(شمالی ارکاٹ) کے باشندہ تھے اوروہیں حضرت مولانا گنگوہی حضرت شیخ الہند اورمولانا تھانوی کے ارشد تلامذہ سے علوم و فنون اسلامیہ ودینیہ کی تعلیم پائی۔یوں توسب علوم وفنون میں کامل درک رکھتے تھے لیکن حدیث اورعربی ادب میں بڑا کمال حاصل تھا۔ پہلے مختلف مدارس اورایک ہائی اسکول میں درس کی خدمات انجام دیں، اب ادھر دس برس سے مدراس کے مشہور جمالیہ عربک کالج میں صدر الاساتذہ کے عہدے پرفائز تھے۔عربی زبان اوراردو وفارسی میں شعر کہتے تھے۔ پہلے تخلص مجاہدؔ تھا پھر حاویؔ کے تخلص سے مشہور ہوئے ۔بڑے خوش اخلاق اورعابد و زاہد بزرگ تھے۔ وضعداری، مروت اورشرافت ان کی فطرت تھی۔جیسا کہ سفرنامہ مدراس میں عرض کیا جاچکا ہے علالت اورضعف کے باوجود راقم الحروف سے ملاقات کے لیے قیام گاہ پرتشریف لائے۔سات آٹھ مرتبہ حج وزیارت مدینہ سے مشرف ہوچکے تھے۔اس مرتبہ پھر جارہے تھے کہ اثنائے راہ میں پیغامِ اجل آپہنچا۔عمرساٹھ کے لگ بھگ ہوگی اﷲ تعالیٰ صدیقین وشہداء کامقام عطا فرمائے۔ آمین۔ [مارچ ۱۹۷۲ء]
This paper presents Nepal’s experience regarding perinatal death surveillance and the country’s response in reducing preventable perinatal deaths. In developing this paper, evidence of perinatal mortality in Nepal is brought from secondary sources, mainly the assessment report of Maternal and Perinatal Death Surveillance and Response (MPDSR) system. As of 2019, this initiative has been implemented in 77 hospitals across Nepal. Challenges and barriers in implementing the MPDSR system need to be brought to attention, as the system is being scaled up to 110 hospitals. Data from the Perinatal Death Review revealed that 72% of the maternal deaths occurred during the post-partum period, due to (i) post-partum haemorrhage, (ii) hypertensive disorder, (iii) pregnancy-related infections, and (iv) non-obstetric causes. In 70% of the cases such deaths could have been prevented. Majority of perinatal deaths, at 71%, were stillbirths, mainly due to low child weight of less than 2500 grams. In conclusion, there is urgent need for the national guidelines for MPDSR system to be amended, additional and continued training provision to the health workforce, improvement in the coordination and feedback mechanism, and strengthening of the information management system
Modern farming practices involve administration of a wide range of veterinary drugs and biological substances to food-producing animals with the primary aim to combat diseases and promote growth. The residues of these drugs can enter into food chain either directly or indirectly resulting in serious allergic reactions in humans, and development of drug resistance in multiple strains of bacteria as in case of antibiotics. The main focus of this research work was the development of analytical methodologies for the identification of various classes of antibiotics in broiler chicken and bovine milk using LC-MS/MS. All the developed methods were validated according to European Commission Decision 657/2002/EC and parameters determined are: specificity, accuracy, precision, repeatability, within lab reproducibility, decision limits (CCα) and detection capability (CCβ). The first method developed for the analysis of florfenicol residues in chicken muscles. It was found that most of the florfenicol residues remained bound with tissues and could only be extracted with organic solvents after digestion of the tissues with strong hydrochloric acid at 95-100 °C. The bound residues of florfenicol were present in higher concentration as compared to un-bound residues in various tissues of broiler chicken. The second method was developed for the multi-amphenicol analysis in which florfenicol, florfenicol amine, chloramphenicol and thiamphenicol were simultaneously analyzed. The accuracy values were 86.4 to 108.1% and precision values were 2.7 to 16.3%, respectively. Analysis of the various raw samples confirmed the presence of florfenicol and chloramphenicol residues in few samples at low levels. Third method involved multiclass multidrug residues, in which total 68 compounds from six antibiotic classes were analyzed. The accuracy values were 70- 102.9 % for nearly 87% compounds. The developed method can be used for screening purpose to reduce the number of samples for confirmatory analysis, thus improving the efficiency of the laboratory by reducing cost and time. Lastly, prevalence of penicillin and cephalosporin antibiotics was studied in bovine milk samples obtained from two cities of Punjab, Pakistan using UPLC-MS. Only amoxicillin, ampicillin, Pen G and cloxacillin were found and confirmed in 18 samples.