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ExpressionHash: Securing Telecare Medical Information Systems Using BioHashing

Computers, Materials & Continua 2021年第6期67卷 2747-2764页

作者： Ayesha Riaz Naveed Riaz Awais Mahmood sajid Ali Khan Imran Mahmood Omar Almutiry Habib Dhahri SEECS National University of Science and TechnologyIslamabadPakistan College of Applied Computer Science King Saud University(Almuzahmiyah Campus)RiyadhSaudi Arabia Department of Software Engineering Foundation University IslamabadPakistan

The COVID-19 outbreak and its medical distancing phenomenon have effectively turned the global healthcare challenge into an opportunity for Telecare Medical Information *** systems employ the latest mobile and digital technologies and provide several advantages like minimal physical contact between patient and healthcare provider,easy mobility,easy access,consistent patient engagement,and *** leakage or unauthorized access to users’medical data can have serious consequences for any medical information *** majority of such systems thus rely on biometrics for authenticated access but biometric systems are also prone to a variety of attacks like spoong,replay,Masquerade,and stealing of stored *** this article,we propose a new cancelable biometric approach which has tentatively been named as“Expression Hash”for Telecare Medical Information *** idea is to hash the expression templates with a set of pseudo-random keys which would provide a unique code(expression hash).This code can then be serving as a template for *** expressions would result in different sets of expression hash codes,which could be used in different applications and for different roles of each *** templates are stored on the server-side and the processing is also performed on the *** proposed technique is a multi-factor authentication system and provides advantages like enhanced privacy and security without the need for multiple biometric *** the case of compromise,the existing code can be revoked and can be directly replaced by a new set of expression hash *** well-known JAFFE(The Japanese Female Facial Expression)dataset has been for empirical testing and the results advocate for the efcacy of the proposed approach.

关键词： Biometrics TMIS biohashing multifactor authentication medical information system

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Deep Learning with a Novel Concoction Loss Function for Identification of Ophthalmic Disease

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Computers, Materials & Continua 2023年第9期76卷 3763-3781页

作者： Sayyid Kamran Hussain Ali Haider Khan Malek Alrashidi sajid Iqbal Qazi Mudassar Ilyas Kamran Shah Department of Computer Science TIMES InstituteMultan60000Pakistan Department of Software Engineering Faculty of Computer ScienceLahore Garrison UniversityLahore54000Pakistan Department of Computer Science Applied CollegeUniversity of TabukTabukSaudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityAl Hofuf31982Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl HofufSaudi Arabia

As ocular computer-aided diagnostic(CAD)tools become more widely accessible,many researchers are developing deep learning(DL)methods to aid in ocular disease(OHD)*** eye diseases like cataracts(CATR),glaucoma(GLU),and age-related macular degeneration(AMD)are the focus of this study,which uses DL to examine their *** imbalance and outliers are widespread in fundus images,which can make it difficult to apply manyDL algorithms to accomplish this analytical *** creation of efficient and reliable DL algorithms is seen to be the key to further enhancing detection *** the analysis of images of the color of the retinal fundus,this study offers a DL model that is combined with a one-of-a-kind concoction loss function(CLF)for the automated identification of *** study presents a combination of focal loss(FL)and correntropy-induced loss functions(CILF)in the proposed DL model to improve the recognition performance of classifiers for biomedical *** is done because of the good generalization and robustness of these two types of losses in addressing complex datasets with class imbalance and *** classification performance of the DL model with our proposed loss function is compared to that of the baseline models using accuracy(ACU),recall(REC),specificity(SPF),Kappa,and area under the receiver operating characteristic curve(AUC)as the evaluation *** testing shows that the method is reliable and efficient.

关键词： Deep learning multi-classification focal loss CNN eye disease

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Gunshot injury to spine:An institutional experience of management and complications from a developing country

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Chinese Journal of Traumatology 2020年第6期23卷 324-328页

作者： Mir Ibrahim sajid Bushra Ahmad Shaikh Danish Mahmood Aneela Darbar Medical College Aga Khan UniversityKarachi74880Pakistan Department of Neurosurgery Aga Khan University HospitalKarachi74880Pakistan

Purpose Gunshot wounds are the second leading cause of spinal cord *** intervention for gunshot injury to the spine carries a high rate of *** is a scarcity of data on civilian gunshot injuries to the spine in *** 60 cases over the last 10 years have been recoded,with unusual presentation and neurological *** it is imperative to fill this gap in data,by reviewing cases of civilian gunshot injuries to spine presenting at a tertiary care hospital(Aga Khan University Hospital,Karachi).Methods This is a retrospective cohort *** of all ages who presented to the emergency department of Aga Khan University Hospital,with gunshot injuries to spine between January 2005 and December 2016 were included in the *** were collected on neurological status(American Spinal Injury Association score was used for the initial and follow-up neurological assessment),extent of cord transection,motor and sensory *** patients were further grouped into those with cord transection,and those with fractures of the bony spine but an intact spinal *** patients were then followed and the outcomes were *** A total of 40 patients were *** mean±SD of patients age was(30.9±9.5)*** the 40 patients with gunshot wounds,31 had the medical imaging performed at the facility,and hence they were included in this *** remaining 9 patients were excluded from this additional *** patients were managed surgically and 27 patients underwent the conservative *** mean±SD of follow-up was(8.7±7.2)*** our study,the thoracic spine was the most commonly injured region in gunshot *** the 31 patients with medical imaging performed at our institute,17(54.8%)had cord transection,of whom 8(47%)ultimately developed *** The prognosis of gunshot injuries to the spine can be varied depending on whether the spinal cord is intact or ***

关键词： Hospital management Cord transection Prognostic predictors Gunshot injury Spinal trauma

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Robotic total meso-rectal excision for rectal cancer: A systematic review following the publication of the ROLARR trial

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World Journal of Gastrointestinal Oncology 2018年第11期10卷 449-464页

作者： Katie Jones Mohamed G Qassem Parv Sains Mirza K Baig Muhammad S sajid Department of General and Laparoscopic Colorectal Surgery Brighton and Sussex University Hospitals NHS Trust the Royal Sussex County Hospital Brighton Lecturer of General Surgery Ain Shams Faculty of Medicine Department of General and Laparoscopic Colorectal Surgery Western Sussex Hospitals NHS Foundation Trust Worthing Hospital

AIM To compare outcomes in patients undergoing rectal resection by robotic total meso-rectal excision(RTME) vs laparoscopic total meso-rectal excision(LTME).METHODS Standard medical electronic databases such as Pub-Med, MEDLINE, EMBASE and Scopus were searched to find relevant articles. The data retrieved from all types of included published comparative trials in pati-ents undergoing RTME vs LTME was analysed using the principles of meta-analysis. The operative, post-operative and oncological outcomes were evaluated to assess the effectiveness of both techniques of TME. The summated outcome of continuous variables was expressed as standardized mean difference(SMD) and dichotomous data was presented in odds ratio(OR).RESULTS One RCT(ROLARR trial) and 27 other comparative studies reporting the non-oncological and oncological outcomes following RTME vs LTME were included in this review. In the random effects model analysis using the statistical software Review Manager 5.3, the RTME was associated with longer operation time(SMD, 0.46; 95%CI: 0.25, 0.67; z = 4.33; P = 0.0001), early passage of first flatus(P = 0.002), lower risk of conversion(P = 0.00001) and shorter hospitalization(P = 0.01). The statistical equivalence was seen between RTME and LTME for non-oncological variables like blo-od loss, morbidity, mortality and re-operation risk. The oncological variables such as recurrence(P = 0.96), number of harvested nodes(P = 0.49) and positive circumferential resection margin risk(P = 0.53) were also comparable in both groups. The length of distal resection margins was similar in both groups. CONCLUSION RTME is feasible and oncologically safe but failed to demonstrate any superiority over LTME for many sur-gical outcomes except early passage of flatus, lower risk of conversion and shorter hospitalization.

关键词： Diverticular disease Colorectal resections Multi-incision laparoscopic surgery Colorectal cancer Single incision laparoscopic surgery

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Polymorphisms of MTHFR and susceptibility to oesophageal adenocarcinoma in a Caucasian United Kingdom population

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World Journal of Gastroenterology 2014年第34期20卷 12212-12216页

作者： Richard Keld Manyi Thian Chia Hau Jamil sajid Narveen Kumar Yeng Ang Department of Gastroenterology Royal Albert Edward InfirmaryWiganLancashire WN1 2NNUnited Kingdom Faculty of Human and Medical Sciences University of ManchesterManchesterSalford M6 8HDUnited Kingdom

AIM: To identify if methylene tetra-hydrofolatereductase (MTHFR) C677T polymorphisms are associated with oesophageal adenocarcnomas in a Caucasian population and to test whether folic acid and homocysteine levels are ... 详细信息

关键词： Polymorphisms of 5,10-methylenetetrahydrofolate reductase Oesophageal adenocarcinoma Caucasian population Helicobacter pylori Polymorphism

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A Fused Machine Learning Approach for Intrusion Detection System

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Computers, Materials & Continua 2023年第2期74卷 2607-2623页

作者： Muhammad sajid Farooq Sagheer Abbas Atta-ur-Rahman Kiran Sultan Muhammad Adnan Khan Amir Mosavi School of Computer Science National College of Business Administration and EconomicsLahore54000Pakistan Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam 31441Saudi Arabia Department of CIT The Applied CollegeKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Software Gachon UniversitySeongnam13120Korea John von Neumann Faculty of Informatics Obuda UniversityBudapest1034Hungary Institute of Information Engineering Automation and MathematicsSlovak University of Technology in BratislavaBratislava81107Slovakia Faculty of Civil Engineering TU-DresdenDresden01062Germany

The rapid growth in data generation and increased use of computer network devices has amplified the infrastructures of *** interconnectivity of networks has brought various complexities in maintaining network availability,consistency,and *** learning based intrusion detection systems have become essential to monitor network traffic for malicious and illicit *** intrusion detection system controls the flow of network traffic with the help of computer *** deep learning algorithms in intrusion detection systems have played a prominent role in identifying and analyzing intrusions in network *** this purpose,when the network traffic encounters known or unknown intrusions in the network,a machine-learning framework is needed to identify and/or verify network *** Intrusion detection scheme empowered with a fused machine learning technique(IDS-FMLT)is proposed to detect intrusion in a heterogeneous network that consists of different source networks and to protect the network from malicious *** proposed IDS-FMLT system model obtained 95.18%validation accuracy and a 4.82%miss rate in intrusion detection.

关键词： Fused machine learning heterogeneous network intrusion detection

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GIS Based Management System for Photovoltaic Panels

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Journal of Geographic Information System 2015年第4期7卷 392-401页

作者： Muhammad Luqman sajid Rashid Ahmad Samiullah Khan Farkhanda Akmal Usman Ahmad Ahmad raza Muhammad Nawaz Asif Javed Hamad Ali Institute of Geology University of the Punjab Lahore Pakistan Department of Space Science University of the Punjab Lahore Pakistan Punjab Group of Colleges Kasur Pakistan Punjab University College of Information Technology University of the Punjab Lahore Pakistan

This paper provides a proposal of implementation of latest technologies in photovoltaic installation and management system. Punjab Government Cooperative Housing Society was selected to find out suitability for photovoltaic installation and its management after that. Google Earth imagery and scanned maps were selected for the preparation of spatial and attribute data of buildings in the study area by using ArcGIS software. In first stage data were digitized and suitability and potential for each building were estimated. In second stage all the tabular data which consisted of owner information, panel information, its potential and location were linked to each other for management purpose. Selected area for solar panels installation was linked to building information for query and visualization.

关键词： Photovoltaic (PV) Asset Management Google Earth Imagery ArcGIS 10 Geographical Information System (GIS)

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A Cost-Effective Approach for NDN-Based Internet of Medical Things Deployment

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Computers, Materials & Continua 2022年第1期70卷 233-249页

作者： Syed sajid Ullah Saddam Hussain Abdu Gumaei Mohsin SAlhilal Bader Fahad Alkhamees Mueen Uddin Mabrook Al-Rakhami Department of Information Technology Hazara University MansehraKPK21120Pakistan Research Chair of Pervasive and Mobile Computing Department of Information SystemsKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Science Faculty of Applied SciencesTaiz UniversityTaiz6803Yemen Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Digital Science Faculty of ScienceUniversiti Brunei DarussalamJln Tungku linkGadongBruneiBE1410Darussalam

Nowadays,healthcare has become an important area for the Internet of Things(IoT)to automate healthcare facilities to share and use patient data anytime and anywhere with Internet *** present,the host-based Internet paradigm is used for sharing and accessing healthcare-related ***,due to the location-dependent nature,it suffers from latency,mobility,and *** this purpose,Named Data Networking(NDN)has been recommended as the future Internet paradigm to cover the shortcomings of the traditional host-based Internet ***,the novel breed lacks a secure framework for *** article constructs an NDN-Based Internet of Medical Things(NDN-IoMT)framework using a lightweight certificateless(CLC)*** adopt the Hyperelliptic Curve Cryptosystem(HCC)to reduce cost,which provides strong security using a smaller key size compared to Elliptic Curve Cryptosystem(ECC).Furthermore,we validate the safety of the proposed scheme through *** cost-efficiency,we compare the designed scheme with relevant certificateless signature *** final result shows that our proposed scheme uses minimal network ***,we deploy the given framework on NDN-IoMT.

关键词： Internet of Medical Things healthcare Named Data Networking

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Hemodynamic Response Detection Using Integrated EEG-fNIRS-VPA for BCI

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Computers, Materials & Continua 2022年第1期70卷 535-555页

作者： Arshia Arif M.Jawad Khan Kashif Javed Hasan sajid Saddaf Rubab Noman Naseer Talha Irfan Khan National University of Sciences and Technology(NUST) IslamabadPakistan Intelligent Robotics Lab National Center of Artificial IntelligenceNational University of Sciences and Technology(NUST)IslamabadPakistan Department of Mechatronics Engineering Air UniversityIslamabadPakistan Institute of Space Technology IslamabadPakistan

For BCI systems,it is important to have an accurate and less complex architecture to control a device with enhanced *** this paper,a novel methodology for more accurate detection of the hemodynamic response has been developed using a multimodal brain-computer interface(BCI).An integrated classifier has been developed for achieving better classification accuracy using two *** integrated EEG-fNIRS-based vector-phase analysis(VPA)has been *** open-source dataset collected at the TechnischeUniversit鋞Berlin,including simultaneous electroencephalography(EEG)and functional near-infrared spectroscopy(fNIRS)signals of 26 healthy participants during n-back tests,has been used for this *** and physiological noise removal has been done using preprocessing techniques followed by individually detecting activity in both *** resting state threshold circle,VPA has been used to detect a hemodynamic response in fNIRS signals,whereas phase plots for EEG signals have been constructed using Hilbert Transform to detect the activity in each *** threshold circles are drawn in the vector plane,where each circle is drawn after task completion in each trial of EEG ***,both processes are integrated into one vector-phase plot to get combined detection of hemodynamic response for *** of this study illustrate that the combined EEG-fNIRS VPA yields considerably higher average classification accuracy,that is 91.35%,as compared to other classifiers such as support vector machine(SVM),convolutional neural networks(CNN),deep neural networks(DNN)and VPA(with dual-threshold circles)with classification accuracies 82%,89%,87%and 86%*** of this research demonstrate that improved classification performance can be feasibly achieved using multimodal VPA for EEG-fNIRS hybrid data.

关键词： EEG-fNIRS hybrid BCI vector-phase analysis hemodynamic response detection

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Molecular Targets of Curcumin and Future Therapeutic Role in Leukemia

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Journal of Biosciences and Medicines 2018年第4期6卷 33-50页

作者： Sabika Rafiq Muhammad Hassan raza Mehwish Younas Fariha Naeem Romisha Adeeb Javed Iqbal Pervez Anwar Umara sajid Hafiza Muniba Manzoor Department of Biotechnology University of Gujrat Sialkot Subcampus Sialkot Pakistan Department of Biotechnology & Bioinformatics International Islamic University Islamabad Pakistan Department of Biotechnology University of Health Sciences Lahore Lahore Pakistan

Leukemia is a most prevalent type of cancer around the globe. Due to major side effects of Chemotherapy and radiotherapy, scientists worked to explore the alternative source to treat leukemia. An alternative source for the treatment of leukemia existed in the form of curcumin, a natural phenolic compound extracted from curcuma longa plant. It exhibited anticancer properties reducing the tumor load via apoptosis and cell cycle arrested in various cancer cell lines and controlled tumor proliferation by blocking tumor inducing gene such as FLT3, Akt gene, ROS and NF-κB inhibition. At molecular level, curcumin plays a key therapeutic role in protection of normal cells by up regulation of NRF-2 that induces production of cellular antioxidants. It regulates various signaling pathways including NF-KB, JAK/STAT, PI3K/AKT and JNK pathways, thereby affecting cancer initiation, progression, and metastasis. This review described the potential of curcumin for treatment of leukemia;it affects different signaling cascades and their regulation. This study provides a preclinical foundation for future usage of curcumin in the treatment of cancer.

关键词： Curcumin Antioxidant Signaling Pathways Apoptosis Therapeutic Potential Leukemic Load

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