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International Journal of Clinical Medicine 2016年第5期7卷 353-360页

作者： gulzar ahmad bhat Tarooq ahmad Reshi Asiya Rashid Department of General Surgery SKIMS Srinagar India Department of Surgery SKIMS Srinagar India

The objective of this study was to compare Magnetic Resonance Urography (MRU) with Intravenous Pyelography (IVP) in evaluation of patients with hydronephrosis on ultrasonography. 49 patients of hydronephrosis on USG were enrolled for the study from Jan. 2011 to Dec. 2012. All patients under went Intravenous Urography (IVU). MRU was done to determine the anatomical details and function of each renal unit. MRU was performed on a 1.5 tesla unit (Magneton Avento;Siemens, Erlangen, Germany). Static T2-weighted Magnetic Resonance Urography (MRU) was performed by using a standard fast spin echo technique. Dynamic study was performed after injecting intravenous diuretic followed by Gadolinium contrast media. Morphological results of MRU were compared with IVU. The anatomical findings were compared with operative findings. Stastical analysis was performed and data expressed as mean ± SD. MRU showed PUJ obstruction in 41 out of 45 patients (91.1%). We concluded that MRU can provide complete diagnostic evaluation of entire urinary tract in a single session and has potential to replace IVP.

关键词： USG (Ultrasonography) MRU (Magnetic Resonance Imaging) IVU (Intravenous Urography)

Cholecystoduodenocolic Fistula: An Unexpected Intraoperative Finding, a Surgical Challenge

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International Journal of Clinical Medicine 2016年第4期7卷 261-264页

作者： gulzar ahmad bhat Rahul Jain Pawan Lal Gen. & Minimal Access Surgery Lok Nayak Hospital Maulana Azad Medical College New Delhi India

The bilioenteric fistulas, first described in 1890 by Courvoisier, are found in 0.15% - 8% of biliary tract operations. Combined fistulas involving the gallbladder, duodenum and colon are extremely rare. We presented a case of 38 year female who presented to our OPD with complaints of pain right upper abdomen for seven months in whom a cholecysto-duodenocolic fistula (Figure 1 & Figure 2) was found during surgery which was repaired primarily. Gallstone disease is a common problem in hepatobiliary system and may rarely present as cholecysto-enteric fistula. The most common type of biliary enteric fistula is Cholecystoduodenal fistula (70%). Cholecysto-duodeno-colic (CDC) fistula is a rare complication of cholelithiasis. The standard treatment of IBF is cholecystectomy and repair of the fistulous opening. Although very rare a cholecystoduodenocolic fistula should be kept as a possibility when there are adhesions between GB, duodenum and colon. Conversion to open surgery should be considered early when the anatomy is not clear to prevent iatrogenic injury.

关键词： Fistula Cholecystectomy Cholecystoduodenocolic Fistula

Exploring Personalized Internet of Things(PIoT),social connectivity,and Artificial Social Intelligence(ASI):A survey

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High-Confidence Computing

High-Confidence Computing 2024年第3期4卷 136-162页

作者： Bisma gulzar Shabir ahmad Sofi Sahil Sholla Department of Information Technology National Institute of TechnologySrinagar 190001India Department of Computer Science and Engineering Islamic University of Science and TechnologyGazipur 1700India

Pervasive Computing has become more personal with the widespread adoption of the Internet of Things(IoT)in our day-to-day *** emerging domain that encompasses devices,sensors,storage,and computing of personal use and surroundings leads to Personal IoT(PIoT).PIoT offers users high levels of personalization,automation,and *** proliferation of PIoT technology has extended into society,social engagement,and the interconnectivity of PIoT objects,resulting in the emergence of the Social Internet of Things(SIoT).The combination of PIoT and SIoT has spurred the need for autonomous learning,comprehension,and understanding of both the physical and social *** research on PIoT is dedicated to enabling seamless communication among devices,striking a balance between observation,sensing,and perceiving the extended physical and social environment,and facilitating information ***,the virtualization of independent learning from the social environment has given rise to Artificial Social Intelligence(ASI)in PIoT ***,autonomous data communication between different nodes within a social setup presents various resource management challenges that require careful *** paper provides a comprehensive review of the evolving domains of PIoT,SIoT,and ***,the paper offers insightful modeling and a case study exploring the role of PIoT in post-COVID *** study contributes to a deeper understanding of the intricacies of PIoT and its various dimensions,paving the way for further advancements in this transformative field.

关键词： Personal Internet of Things(PIoT) Artificial Social Intelligence(ASI) Hyperpersonalization

Psoas Muscle Hydatid Cyst Causing Ureteric Compression and Hydronephrosis

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International Journal of Clinical Medicine 2012年第4期3卷 300-301页

作者： Riyaz ahmad Sheikh Rayees ahmad Dar Sabiya Hamid Wani Mushtaq ahmad Gagloo Suhail Farooq Mir gulzar ahmad bhat Irfan Jan Khan Department of General Surgery Sheri Kashmir Institute of Medical Sciences Soura Srinagar India Department of General Surgery Sheri Kashmir Institute of Medical Sciences Soura Srinagar India 2Department of Surgery Govt. Medical College Srinagar India. Department of Surgery Govt. Medical College Srinagar India

Psoas muscle is a rare location for hydatid disease. Here we present a case of infected hydatid cyst left psoas muscle presenting as left flank pain, fever, local flank tenderness, and raised blood counts. Preoperative diagnoses was made by Ultrasonography (USG) and Computed Tomography (CT) abdomen, although serology for hydatid disease was negative.

关键词： Hydatid Cyst Psoas Muscle Hydronephrosis

Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

Risk factors and outcomes of peptic ulcer bleed in a Pakistani population:A single-center observational study

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World Journal of Gastrointestinal Pharmacology and Therapeutics 2024年第3期15卷 1-9页

作者： Nazish Butt Muhammad Tayyab Usmani Nimrah Mehak Saba Mughal Fakhar Ali Qazi-Arisar Ghulam Mohiuddin gulzar Khan Department of Gastroenterology Jinnah Postgraduate Medical CentreKarachi 75505SindhPakistan National Institute of Liver&GI Diseases Dow University of Health SciencesKarachi 75330SindhPakistan School of Public Health Dow University of Health SciencesKarachi 75330SindhPakistan

BACKGROUND Peptic ulcer disease(PUD)remains a significant healthcare burden,contributing to morbidity and mortality *** advancements in therapies,its prevalence persists,particularly in regions with widespread nonsteroidal antiinflammatory drugs(NSAIDs)use and Helicobacter pylori *** To comprehensively analyse the risk factors and outcomes of PUD-related upper gastrointestinal(GI)bleeding in Pakistani *** This retrospective cohort study included 142 patients with peptic ulcer bleeding who underwent upper GI endoscopy from January to December *** on demographics,symptoms,length of stay,mortality,re-bleed,and Forrest classification was *** The mean age of patients was 53 years,and the majority was men(68.3%).Hematemesis(82.4%)and epigastric pain(75.4%)were the most common presenting *** patients(73.2%)were discharged within five *** mortality rates at one week and one month were 10.6%and 14.8%,***-bleed within 24 h and seven days occurred in 14.1%and 18.3%of patients,*** ulcers were Forrest class(FC)Ⅲ(72.5%).Antiplatelet use was associated with higher mortality at 7 and 30 d,while alternative medications were linked to higher 24-hour re-bleed *** use was associated with more FCⅢ***-bleed at 24 h and 7 d was strongly associated with one-week or one-month *** Antiplatelet use and rebleeding increase the risk of early mortality in PUD-related upper GI bleeding,while alternative medicines are associated with early rebleeding.

关键词： Non variceal bleed Mortality Re-bleed Forrest classification Antiplatelets Alternative medicines

Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

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Journal of Forestry Research 2020年第6期31卷 2313-2321页

作者： Anwar Ali Muhammad Irfan Ashraf Saeed gulzar Muhammad Akmal Bilal ahmad Pakistan Forest Institute Peshawar 25130Pakistan Department of Forestry and Range Management PMAS Arid Agriculture UniversityRawalpindi 46300Pakistan Institute of Soil Science PMAS Arid Agriculture UniversityRawalpindi 46300Pakistan Institute of Agriculture Sciences and Forestry University of SwatSwat 19130Pakistan

Forest soils have high carbon densities compared to other *** carbon sequestration is important to reduce CO 2 concentrations in the *** eff ective climate change mitigation strategy involves limiting the emissions of greenhouse gases from *** Pakhtunkhwa is the most forested province of Pakistan,hosting about one-third of the country’s 4.5×106 ha forest *** organic carbon in the province’s forests was estimated through a fi eld-based study carried out during 2014–17 covering the whole *** was collected from 373 sample plots laid out in diff erent forest types using a stratifi ed cluster sampling *** total quantity of soil organic carbon was estimated at 59.4×106 t with an average of 52.4±5.3 t/*** 69%of the total soil carbon is present in temperate *** broad-leaved and subtropical pine forests constitute 11.4%and 8.8%of the soil carbon stock ***,subalpine and oak forests have respective shares of 5.1%and 5.7%in the soil carbon *** lowest carbon stock(0.1%)was found in dry-tropical thorn *** highest soil carbon density was found in subalpine forests(69.5±7.2 t/ha)followed by moist temperate forests(68.5±6.7 t/ha)and dry temperate forests(60.7±6.5 t/ha).Oak forests have carbon density of 43.4±7.1 t/*** pine,subtropical broad-leaved and dry tropical thorn forests have soil carbon densities of 36.3±3.7,32.8±6.2 and 31.5±3.5 t/ha,*** forests of the Khyber Pakhtunkhwa province have substantial amounts of soil carbon which must be conserved for climate change mitigation and maintenance of sound forest health.

关键词： Soil carbon Carbon sequestration Climate change Carbon sink Forests Khyber Pakhtunkhwa

A review of upper limb injuries in bear maul victims： Consistent pattern and inverse relation in severity with facial and scalp injuries

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Chinese Journal of Traumatology 2018年第1期21卷 38-41页

作者： Towseef ahmad bhat Amara gulzar Aejaz ahmad bhat Tariq ahmad bhat Zameer Ali Department of Orthopaedics Pt. Jawahar Lal Nehru Govt. Medical College Chamba Himachal Pradesh India Department of Emergency Medicine SKIMS Medical College Bemina Srinagar India Physical Medicine Govt. Medical College Srinagar India Department of Orthopaedics Govt. Sub District Hospital Chadora Srinagar India Department of Orthopaedics New City Hospital Srinagar India

Purpose： Bear maul injuries are the most common wild animal inflicted injuries in India. More than 300 bear maul injuries report to our hospital per year. Methods： Twenty-one consecutive patients over a period of 1 year reported to our department for orthopaedic management of bear maul injuries. All the patients were referred either from peripheral hospitals or from other surgical departments of our hospital. Results： All the patients had facial[scalp injuries of variable severity. In all the patients the severity of limb and facial trauma was inversely proportional to each other. Pattern of upper limb trauma in most of the patients was similar. Fifteen patients had either fractures of distal humerus or mid shaft/proximal forearm bone fracture. Two had distal forearm bone fracture, 2 had carpal/metacarpal fractures and I had clavicle fracture. Only I had lower limb fracture. Thirteen out of 21 patients had associated neurovascular injury of the involved limb. The characteristic feature was extensive soft tissue involvement of the affected limb. Conclusion： Upper limb injuries in bear maul patients usually have similar pattern. The severity of upper limb and facial/scalp trauma is inversely proportional to each other. Multistage orthopaedic surgeries are needed for such comolex limb injuries.

关键词： Bear maul Upper limb fractures Facial Scalp

Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第5期67卷 2585-2600页

作者： gulzar ahmad Saad Alanazi Madallah Alruwaili Fahad ahmad Muhammad Adnan Khan Sagheer Abbas Nadia Tabassum School of Computer Science NCBA&ELahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Department of Basic Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan

Security is a significant issue for everyone due to new and creative ways to commit *** Closed-Circuit Television(CCTV)systems are being installed in offices,houses,shopping malls,and on streets to protect *** monitor CCTV;however,it is difficult for a single person to monitor the actions of multiple people at one ***,there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study,we have designed a new Intelligent Ammunition Detection and Classification(IADC)system using Convolutional Neural Network(CNN).The proposed system is designed to identify persons carrying weapons and ammunition using CCTV *** weapons are identified,the cameras sound an *** the proposed IADC system,CNN was used to detect firearms and *** CNN model which is a Deep Learning technique consists of neural networks,most commonly applied to analyzing visual imagery has gained popularity for unstructured(images,videos)data ***,this system generates an early warning through detection of ammunition before conditions become *** the faster and earlier the prediction,the lower the response time,loses and potential *** proposed IADC system provides better results than earlier published models like VGGNet,OverFeat-1,OverFeat-2,and OverFeat-3.

关键词： CCTV CNN IADC deep learning intelligent ammunition detection DnCNN

Autonomous Parking-Lots Detection with Multi-Sensor Data Fusion Using Machine Deep Learning Techniques

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Computers, Materials & Continua 2021年第2期66卷 1595-1612页

作者： Kashif Iqbal Sagheer Abbas Muhammad Adnan Khan Atifa Ather Muhammad Saleem Khan Areej Fatima gulzar ahmad School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences GC UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Comsats University IslamabadLahore CampusLahore54000Pakistan

The rapid development and progress in deep machine-learning techniques have become a key factor in solving the future challenges of ***-based target detection and object classification have been improved due to the development of deep learning *** fusion in autonomous driving is a fact and a prerequisite task of data preprocessing from multi-sensors that provide a precise,well-engineered,and complete detection of objects,scene or *** target of the current study is to develop an in-vehicle information system to prevent or at least mitigate traffic issues related to parking detection and traffic congestion *** this study we examined to solve these problems described by(1)extracting region-of-interest in the images(2)vehicle detection based on instance segmentation,and(3)building deep learning model based on the key features obtained from input parking *** build a deep machine learning algorithm that enables collecting real video-camera feeds from vision sensors and predicting free parking *** augmentation techniques were performed using edge detection,cropping,refined by rotating,thresholding,resizing,or color augment to predict the region of bounding boxes.A deep convolutional neural network F-MTCNN model is proposed that simultaneously capable for compiling,training,validating and testing on parking video frames through *** results of proposed model employing on publicly available PK-Lot parking dataset and the optimized model achieved a relatively higher accuracy 97.6%than previous reported ***,this article presents mathematical and simulation results using state-of-the-art deep learning technologies for smart parking space *** results are verified using Python,TensorFlow,OpenCV computer simulation frameworks.

关键词： Smart parking-lot detection deep convolutional neural network data augmentation region-of-interest object detection