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عبد الحمید عرفانی

عبدالحمیدعرفانی (۱۹۰۷ء۔۱۹۹۰ء) سیالکوٹ کے ایک گاؤں مغلاں والی میں پیدا ہوئے۔عرفانی نے چکوال ہائی سکول سے میٹرک کیا۔ سکول کے زمانے میں انھیں ایسے دوست ملے جو بعد میں پاکستان کی ممتاز شخصیات میں شمار ہوئے۔ ان میں ڈاکٹر غلام سرور،کرنل محمد خان،قاضی گل محمد،خواجہ عبدالعزیز اور نیاز محمد خان قابل ذکر ہیں۔ ۱۹۵۶ء میں انھوں نے پنجاب یونیورسٹی سے فارسی میں ڈاکٹریٹ کی ڈگری حاصل کی۔ فارسی زبان میں لکھا گیا ان کا مقالہ’’شرح احوال و آثار ملک الشعرا بہار‘‘ پنجاب یونیورسٹی کی تاریخ میں پہلا مقالہ تھا۔(۵۰۸) عرفانی ۱۹۴۵ء میں بھارت کے شہر دہلی میں محکمہ تعلیم کی طرف سے ایرانیوں کوا نگریزی پڑھانے پر مامور ہوئے۔ ۱۹۴۹ء میں وہ ایران میں پاکستان کی طرف سے پہلے کلچرل اینڈ پریس اتاشی مقرر ہوئے۔ ۱۹۶۴ء میں حکومتِ پاکستان کے فارن پبلسٹی کے شعبہ میں ڈائریکٹر مقرر ہوئے۔ ۱۹۶۸ء میں وہ آر سی ڈی کے نمائندے کی حیثیت سے ایران میں مقیم ہوئے۔ (۵۰۹) ۱۹۵۵ء میں حکومتِ ایران کی طرف سے ’’نشان سپاس‘‘،اور’’نشانِ ورزش‘‘ عطاہوئے۔۱۹۶۲ ء میں ایران نے ان کی شاعرانہ عظمت کے اعتراف میں ’’نشان رستا خیز ملی ‘‘سے نوازا ۔۱۹۶۶ء میں حکومت پاکستان نے انھیں ’’ستارہ امیتاز ‘‘ عطا کیا۔(۵۱۰)

خواجہ عبدالحمید عرفانی چار اردو ،بارہ فارسی اور ایک انگریزی کتاب کے مصنف ہیں۔ خواجہ عرفانی کے ’’کلیاتِ عرفانی‘‘ میں اردو فارسی شاعری کو یکجا کر دیا گیا ہے۔ حصہ اردو میں غزلیات ،مانولاگ کے تراجم اور قومی نظمیں شامل ہیں۔ عرفانی نے چھٹی ساتویں جماعت میں ہی اردو اور فارسی میں شعر کہنے شروع کر دئیے۔ ڈاکٹر غلام جیلانی برق شاعری میں ان کی اصلاح کرتے تھے۔ وہ انھیں سکول کا سب سے اچھا شاعر سمجھتے تھے۔(۵۱۱) سکول کے زمانے میں عرفانی مولانا حالی اور مرزا غالب سے بہت متاثر تھے۔ عرفانی کی قومی موضوعات پر لکھی گئی نظموں میں حالی کا رنگ نظر آتا ہے۔ قومی نظموں کو کلیاتِ...

Completeness Analysis of Completeness Filling and Time of Returning The Medical Record for Inpatient Patients at Regional General Hospital of Makassar City

At Makassar City Hospital, one of the service indicators that has not been achieved is in incomplete medical record files and medical record files that are returned more than 2x24 hours after service. This study aims to analyze the implementation of the completeness of filling in and the timeliness of returning inpatient medical record files at the Makassar City Hospital. This type of research is mixed methods research. The study design used a cross-sectional approach. The study was conducted in September - October 2020. The results showed that the implementation of completeness of filling in and the timeliness of returning medical record files was still low, this has led to the accumulation of medical record files in the treatment room and delays in returning the files of inpatients to the medical record installation of the City Hospital Makassar. Training on the implementation of medical records has not been comprehensive for all officers at the Makassar City Hospital. The result of the delay in returning the documents is the delay in payment of insurance claims to the hospital. Accumulation of medical records in the treatment room from incomplete medical records and returned to the treatment room. Health workers who forget to fill in complete medical records are only given a sanction in the form of a warning during a meeting with the medical committee. Availability of SOP on filling and returning medical record files at the hospital. The facilities and infrastructure in the implementation of medical records are still insufficient for medical record employees at Makassar City Hospital. It is recommended that the hospital improve the implementation of the completeness and timeliness of returning medical record files, provide incentives or rewards for completing filling in, increase the number of computers and expand the room in the medical record installation, and review the medical record format at Makassar City Hospital

Mr Image Reconstruction Using Pmri and Compressed Sensing

MR Image Reconstruction Using PMRI and Compressed Sensing Magnetic Resonance Imaging (MRI) is a safe and non-ionizing medical imaging modality that provides excellent soft tissue contrast. The main limitation in MRI is its long data acquisition time. Parallel MRI (pMRI) and Compressed Sensing (CS) provide a framework to lessen the MRI data acquisition time. Both pMRI and CS acquire less data in k-space and then minimize the aliasing artifacts by using dedicated reconstruction algorithms. PMRI was introduced in late 1990’s and some of its reconstruction algorithms are commercially available in the latest MRI scanners. CS was introduced in 2007 and it is mostly used in research. Recently, Graphical Processing Units (GPU) have been used to reduce the computation time in the parallel algorithms. GPU can also be used in MRI reconstruction algorithms to reduce the computation time of reconstruction algorithm (one of the main limitation in MRI). The objective of this thesis is to explore and develop new methods to improve the performance of pMRI and CS. There are four main contributions in this regard. (i) A Graphical Processing Unit (GPU) based design is developed in Compute Unified Device Architecture (CUDA) for fast implementation of Sensitivity Encoding (SENSE), a pMRI reconstruction algorithm. The results show that the proposed GPU implementation of SENSE significantly reduces its computation time while maintaining the reconstructed image quality as compared to the conventional SENSE implementation. (ii) Receiver coil sensitivity information plays an important role in SENSE reconstruction. Eigen-value method is used for sensitivity estimation in the proposed work for SENSE reconstruction on GPU and the results are compared with the conventional Pre-scan method. The results show that Eigen-value method considerably improves the SNR of the reconstructed images as compared to the results obtained using Pre-scan method. (iii) Conjugate Gradient SENSE (CG-SENSE), proposed by Pruessmann uses both the Non-Cartesian (NC) and Cartesian k-space for image reconstruction. NC trajectories are increasingly used in recent MR imaging because they are fast and provide efficient coverage of k-space. NC trajectories are computationally extensive and require special operations including gridding and de-gridding. A GPU based implementation of the gridding and de-gridding operations is proposed in this thesis that significantly reduces the computation time of CG-SENSE while maintaining the reconstructed image quality. (iv) A combined application of CG-SENSE (a pMRI reconstruction xi algorithm) and Projections onto Convex Sets (POCS) (a CS reconstruction algorithm) is proposed for reconstructing fully-sampled MR images from the under-sampled data. The results of the proposed method are compared with CG-SENSE and POCS reconstruction separately. The results show that the proposed method allows higher acceleration factors in MRI data acquisition and notably improves the reconstructed image quality.
Asian Research Index Whatsapp Chanel
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