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Compressed sensing of magnetic resonance imaging refers to the reconstruction of magnetic resonance images from partially sampled k-space data. The k-space data reduces reconstruction processing time but at the cost of increasing artifacts - especially with the higher reduction factor of the raw data. This work proposes a segmented region-based reconstruction technique to reduce image artifacts with enhanced quality and high temporal resolution. The proposed method segments partially sampled k-space data in two segments according to their frequencies. Lower frequency components at the central region are selected and predicted using nuclear norm minimization. This part and the peripheral part of the k-space components at higher frequencies are merged. The recovery technique iterates to reconstruct more accurate images in terms of conventional compressed sensing techniques. The performance of the proposed method is evaluated and compared with compressed sensing, two-stage compressed sensing, and modified total variation technique. Better results in term of normalized mean square error NMSE, reconstruction time and structural similarity index measure SSIM show the effectiveness of the proposed method with a high reduction factor of data.

In this paper, two well-known topologies of proposed Double Sided Field Excited Linear Flux Switching Machine with Segmented Secondary (FELFSMSS) i.e. Dual Stator and Dual Mover are quantitatively compared with a valid decision of selecting Dual Stator FELFSMSS (DSFELFSMSS) based on low numerical values of detent force, thrust force ripples, and normal force, and high values of open circuit flux linkage, average thrust force, and thrust force density. In order to uplift overall thrust force profile of selected DSFELFSMSS at the rate of minimum thrust force ripple ratio, geometry based deterministic optimization and appropriate selection of AC and DC current density approach is adopted. Finally, a novel technique of auxiliary end tooth DC winding is applied to limit thrust force ripple ratio less than 10 percent.

Image processing systems based on neighborhood operations i.e. Neighborhood Processing Systems (NPSs) are computationally expensive and memory intensive. Field Programmable Gate Array (FPGA) based parallel processing architectures accelerate calculations of NPS provided if they have fast external-memory data access by using on-chip data buffers. The conventional data buffers namely full Row Buffers (RBs) implemented with FPGA embedded memory resources i.e. Block RAMs (BRAMs) are resource inefficient. It makes overall NPS implementation on FPGA expensive and infeasible especially for resource-constraint environment. This paper presents compact and efficient image buffering architecture with an additional feature of pre-fetching. Proposed design fits in minimal BRAMs by using small yet efficient Main Control Unit (MCU). Its optimal multi-rated BRAM data accessing technique reduces BRAM cost to provide multiple pixels of pre-fetched data/clock to NPS in a fixed pattern. It controls and synchronizes BRAMs operations to attain throughput of 1 clock/pixel. Thus our buffer architecture with 66% reduction in BRAM requirement as compared to conventional RBs is capable to support buffering for real time systems with high resolution (1080x1920@62fps). Therefore proposed buffer architecture can suitably replace conventional RB in any real time NPS application.

Syed Sajid Hussain Kazmi,1,2 Nathkai Safi,1,2 Simen Tveten Berge,1,2 Marryam Kazmi,1,3 Jon Otto Sundhagen,1 Kari Julien,4 Per Medbøe Thorsby,2,4 Kim Vidar Ånonsen,5 Asle Wilhelm Medhus,2,5 Jonny Hisdal1,2 1Department of Vascular Surgery, Division of Cardiovascular and Pulmonary Diseases, Oslo University Hospital, Ullevål, Oslo, Norway; 2Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; 3Faculty 2, Poznan University of Medical Sciences, Poznan, Poland; 4The Hormone Laboratory, Department of Medical Biochemistry, Oslo University Hospital, Aker, Oslo, Norway; 5Department of Gastroenterology, Oslo University Hospital, Ullevål, Oslo, NorwayCorrespondence: Syed Sajid Hussain Kazmi, Tel +47 92468309, Email sshkazmi@gmail.comBackground: Chronic mesenteric ischemia (CMI) due to either atherosclerosis of the mesenteric arteries or median arcuate ligament syndrome (MALS) is an underdiagnosed entity. The etiology of MALS and its existence have been debated and questioned. We aimed to identify plasma biomarkers indicating mesenteric ischemia in patients with CMI and MALS.Methods: Plasma α-glutathione S-transferase (α-GST), intestinal fatty acid-binding protein (I-FABP), citrulline, and ischemia modified albumin (IMA) were analyzed in fifty-eight patients with CMI (Group A, n=44) and MALS (Group B, n=14) before and after revascularization. The plasma levels of these potential biomarkers were compared with those of healthy individuals (Group C, n=16). Group comparison was performed with the Mann–Whitney U-test. Cross-tabulation and its derivatives were obtained. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were calculated.Results: Plasma levels of α-GST were significantly raised in the patients with CMI (7.8 ng/mL, p< 0.001) and MALS (8.4 ng/mL, p< 0.001), as compared with the control Group C (3.3 ng/mL). The threshold for normal median plasma α-GST levels of 4 ng/mL yielded a sensitivity of 93% and 86%, specificity of 86% and 88%, respectively, for the diagnosis of CMI due to atherosclerosis and MALS. AUC of ROC curves was 0.96 (p< 0.0001) for CMI and 0.85 (p< 0.002) for MALS. The patient groups did not differ from the healthy controls in any other biomarkers.Conclusion: Plasma α-GST levels are elevated in CMI and MALS patients. Elevated plasma levels of α-GST suggest ischemia as the etiology of MALS.Keywords: biomarker, chronic mesenteric ischemia, intestinal ischemia, median arcuate ligament syndrome, α-GST

Syed Sajid Hussain Kazmi,1,2 Nathkai Safi,1,2 Simen Tveten Berge,2,3 Marryam Kazmi,1,4 Jon Otto Sundhagen,1 Jonny Hisdal1,2 1Department of Vascular Surgery, Division of Cardiovascular and Pulmonary Diseases, Oslo University Hospital, Ullevål, Oslo, Norway; 2Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; 3Department of Vascular Surgery, Innlandet Hospital Trust, Hamar, Norway; 4Faculty 2, Poznan University of Medical Sciences, Poznan, PolandCorrespondence: Syed Sajid Hussain Kazmi, Department of Vascular Surgery, Division of Cardiovascular and Pulmonary Diseases, Oslo University Hospital, Ullevål, Kirkeveien 166, Oslo, 0450, Norway, Tel +47 92468309, Email sshkazmi@gmail.comBackground: The selection of patients with MALS for surgical treatment depends upon the reliability of the symptom interpretation and the diagnostic work-up. We aimed to follow up the results of the laparoscopic decompression of the patients with MALS.Patients and Methods: In a single-center, 52 consecutive MALS patients were followed-up, prospectively, after transperitoneal laparoscopic decompression. MALS was diagnosed with a computed tomography angiography (CTA) verified stenosis, ≥ 50% of the celiac artery (CA), and with duplex ultrasound, a peak systolic velocity (PSV) ≥ 2.0 m/s. Postoperative, CTA, and duplex ultrasound were performed, and the patients were followed-up at 3, 6, 12 months, and yearly after that.Results: Mean age of the patients was 47 ± 21 years, and 65% were females. The patients had a mean weight loss of 8.4 ± 7.2 kg. Fifty-one patients had the laparoscopic operation with a mean operation time of 102 ± 28 minutes. Forty-seven patients (90%) achieved relief from the symptoms either completely (67%) or partially (23%) at 3– 6 months of follow-up. Significant improvement in postoperative PSV was found compared to the preoperative values, p< 0.001. Five patients (10%) with no immediate effect of the operation, but two of them became free from symptoms during the mean study follow-up of 2.4 ± 2 years. Five patients (10%) had operative complications, including one trocar injury to the liver, one pneumothorax, and three cases of bleeding from the branches of CA. Two patients died of cancer disease during the study period. Only two patients (4%) had symptoms relapse, both later treated successfully.Conclusion: Laparoscopic transperitoneal decompression provides most of the patients a persistent relief from MALS symptoms.Keywords: median arcuate ligament syndrome, postprandial pain, laparoscopy, mesenteric ischemia

The Unani system of medicine (USM) is one of the popular traditional systems of medicine. World widely, this system of medicine becomes an important health care system. Since many years back Unani medicines were used by the Unani physicians for treating the diseases ailments. In USM most of the drugs are of plant origin and their therapeutic effects are due to the presence of active phytochemicals. The proper standardization methods must be necessary for preparation of formulations otherwise secondary metabolites or active constituents might not be up to the quality. The standard operating procedures (SOP's) are adopted for the preparation of Unani formulation. This study evaluated the quality of polyherbal unani formulation Habb-i-Shahtara, which is used in the treatment of skin diseases. The standardization parameters which were used for the development of quality standard of the study formulation were pharmacognostical studies, physicochemical and phytochemical parameters, HPTLC analysis, microbial load, aflatoxins, heavy metals and pesticide residues determination to evaluate the pharmacopoeial standard. The polyherbal Unani formulation Habb-i-Shahtara have been successfully standardized and the data and procedures which were used may serve the guidelines and standard reference in future for the preparation of formulation and for further study. [ABSTRACT FROM AUTHOR]

Modern development in deep learning and computer vision techniques, intelligent transportation system (ITS) has emerged as a useful tool for building a traffic infrastructure in smart cities. Previously, several computer vision techniques have been proposed for vehicle recognition, which were limited in handling undisciplined, dense and laneless traffic conditions. Moreover, these frameworks did not incorporate many of the local vehicle configurations common in South Asian countries such as Pakistan, Bangladesh, and India. Considering the limitations of previous frameworks, this paper presents efficient vehicle detection and counting model for undisciplined conditions including dense and laneless traffic, occulusion cases and diverse range of local vehicles. A dataset of more than 2400 images of vehicles has been collected comprising of six new categories of local vehicles, and considering undisciplined traffic conditions to ensure robustness in vehicle detection and counting system. Transfer learning based technique has been used, using faster R-CNN model with Inception V2 as underlying architecture. The experimental results show a precision of 86.14% in terms of mAP. The work finds its application in South Asian contexts as more smart cities are formed in this region. The proposed framework will enable traffic monitoring with higher reliability, accuracy and granularity, contributing in having next-generation ITS. [ABSTRACT FROM AUTHOR]