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  1. Article ; Online: Polycythemia in SARS-CoV-2 Positive Patients: An Early Screening Marker.

    Khan, Taimoor Ashraf

    Journal of the College of Physicians and Surgeons--Pakistan : JCPSP

    2020  Volume 30, Issue 10, Page(s) 137

    MeSH term(s) Betacoronavirus ; Biomarkers/blood ; COVID-19 ; COVID-19 Testing ; Clinical Laboratory Techniques ; Coronavirus Infections/complications ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Humans ; Incidental Findings ; Mass Screening ; Pakistan/epidemiology ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/epidemiology ; Polycythemia/etiology ; SARS-CoV-2
    Chemical Substances Biomarkers
    Keywords covid19
    Language English
    Publishing date 2020-10-29
    Publishing country Pakistan
    Document type Letter
    ZDB-ID 2276646-7
    ISSN 1681-7168 ; 1022-386X
    ISSN (online) 1681-7168
    ISSN 1022-386X
    DOI 10.29271/jcpsp.2020.10.137
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6532: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Does excessive energy utilization and expansion of urbanization increase carbon dioxide emission in Belt and Road economies?

    Liu, Fang / Khan, Yasir / Hassan, Taimoor

    Environmental science and pollution research international

    2023  Volume 30, Issue 21, Page(s) 60080–60105

    Abstract: The phenomenal increase in global temperature and variation in climate change are the replications of nature, alarming governments to limit the emissions of greenhouse gases (GHGs) and adopt green innovation and environmental-friendly clean and green ... ...

    Abstract The phenomenal increase in global temperature and variation in climate change are the replications of nature, alarming governments to limit the emissions of greenhouse gases (GHGs) and adopt green innovation and environmental-friendly clean and green technologies. In this paper, we empirically investigate whether there are any changes in excessive consumption of energy from conventional sources, expansion of urbanization, carbon dioxide (CO
    MeSH term(s) Carbon Dioxide ; Urbanization ; Biodiversity ; Temperature ; Economic Development ; Renewable Energy
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2023-04-05
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-26701-2
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    In stock of ZB MED Bonn / Germany

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  4. Article ; Online: Data on non-communicable diseases: A missed opportunity in Pakistan.

    Khan, Sarim D / Jafar, Tazeen H / Siddiqi, Kamran / Ahmad, Taimoor / Khan, Adnan A / Samad, Zainab

    Journal of global health

    2023  Volume 13, Page(s) 3045

    MeSH term(s) Humans ; Noncommunicable Diseases/epidemiology ; Pakistan/epidemiology
    Language English
    Publishing date 2023-09-01
    Publishing country Scotland
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 2741629-X
    ISSN 2047-2986 ; 2047-2986
    ISSN (online) 2047-2986
    ISSN 2047-2986
    DOI 10.7189/jogh.13.03045
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism.

    Khan, Taimoor / Choi, Gyuho / Lee, Sokjoon

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 8

    Abstract: Driver distraction is considered a main cause of road accidents, every year, thousands of people obtain serious injuries, and most of them lose their lives. In addition, a continuous increase can be found in road accidents due to driver's distractions, ... ...

    Abstract Driver distraction is considered a main cause of road accidents, every year, thousands of people obtain serious injuries, and most of them lose their lives. In addition, a continuous increase can be found in road accidents due to driver's distractions, such as talking, drinking, and using electronic devices, among others. Similarly, several researchers have developed different traditional deep learning techniques for the efficient detection of driver activity. However, the current studies need further improvement due to the higher number of false predictions in real time. To cope with these issues, it is significant to develop an effective technique which detects driver's behavior in real time to prevent human lives and their property from being damaged. In this work, we develop a convolutional neural network (CNN)-based technique with the integration of a channel attention (CA) mechanism for efficient and effective detection of driver behavior. Moreover, we compared the proposed model with solo and integration flavors of various backbone models and CA such as VGG16, VGG16+CA, ResNet50, ResNet50+CA, Xception, Xception+CA, InceptionV3, InceptionV3+CA, and EfficientNetB0. Additionally, the proposed model obtained optimal performance in terms of evaluation metrics, for instance, accuracy, precision, recall, and F1-score using two well-known datasets such as AUC Distracted Driver (AUCD2) and State Farm Distracted Driver Detection (SFD3). The proposed model achieved 99.58% result in terms of accuracy using SFD3 while 98.97% accuracy on AUCD2 datasets.
    MeSH term(s) Humans ; Distracted Driving ; Automobile Driving ; Accidents, Traffic/prevention & control ; Neural Networks, Computer
    Language English
    Publishing date 2023-04-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23083835
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  6. Article ; Online: COVID-19 in Pakistan

    Taimoor Ahmad / Mujahid Abdullah / Abdul Mueed / Faisal Sultan / Ayesha Khan / Adnan Ahmad Khan

    PLoS ONE, Vol 18, Iss

    A national analysis of five pandemic waves

    2023  Volume 12

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Community-Driven Family Planning in Urban Slums: Results from Rawalpindi, Pakistan.

    Khan, Adnan Ahmad / Ahmad, Taimoor / Najam, Areesha / Khan, Ayesha

    BioMed research international

    2023  Volume 2023, Page(s) 2587780

    Abstract: ... annual increase since 2006) due to several demand and supply issues. The Akhter Hameed Khan Foundation ...

    Abstract Background: Pakistan's contraceptive prevalence rate (CPR) has remained static (less than 1% annual increase since 2006) due to several demand and supply issues. The Akhter Hameed Khan Foundation implemented a community-driven, demand-generation intervention with complementary supply side family planning (FP) services in a large urban informal settlement in Rawalpindi, Pakistan.
    Methods: The intervention recruited local women as outreach workers called Aapis (sisters), who conducted household outreach and provided counseling, contraceptives, and referrals. Program data were used to guide in-program corrections, identify the most willing to use married women of reproductive age (MWRA), and target specific geographic locations. The evaluation compared results from two surveys. The baseline survey included 1485 MWRA while the endline included 1560 MWRA that were sampled using the same methodology. A logit model was used with survey weights and clustered standard errors, to estimate the odds of using a contraceptive method.
    Results: CPR in Dhok Hassu increased from 33% at the baseline to 44% at endline. Long-acting reversible contraceptives (LARCs) usage increased from 1% at baseline to 4% at endline. Increase in CPR is correlated with increasing number of children and education of MWRA and is the highest between the ages of 25 and 39 and for working women. Qualitative evaluation of the intervention provided lessons about in-program corrections using data and empowerment of the female outreach workers and MWRA.
    Conclusion: The
    MeSH term(s) Child ; Female ; Humans ; Adult ; Family Planning Services ; Poverty Areas ; Pakistan/epidemiology ; Ecosystem ; Contraceptive Agents
    Chemical Substances Contraceptive Agents
    Language English
    Publishing date 2023-02-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2698540-8
    ISSN 2314-6141 ; 2314-6133
    ISSN (online) 2314-6141
    ISSN 2314-6133
    DOI 10.1155/2023/2587780
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: AndroDex: Android Dex Images of Obfuscated Malware.

    Aurangzeb, Sana / Aleem, Muhammad / Khan, Muhammad Taimoor / Loukas, George / Sakellari, Georgia

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 212

    Abstract: With the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years. As a result, a reliable and large- ... ...

    Abstract With the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years. As a result, a reliable and large-scale malware dataset is essential to build effective malware classifiers. In this paper, we have created AndroDex: an Android malware dataset containing a total of 24,746 samples that belong to more than 180 malware families. These samples are based on .dex images that truly reflect the characteristics of malware. To construct this dataset, we first downloaded the APKs of the malware, applied obfuscation techniques, and then converted them into images. We believe this dataset will significantly enhance a series of research studies, including Android malware detection and classification, and it will also boost deep learning classification efforts, among others. The main objective of creating images based on the Android dataset is to help other malware researchers better understand how malware works. Additionally, an important result of this study is that most malware nowadays employs obfuscation techniques to hide their malicious activities. However, malware images can overcome such issues. The main limitation of this dataset is that it contains images based on .dex files that are based on static analysis. However, dynamic analysis takes time, therefore, to overcome the issue of time and space this dataset can be used for the initial examination of any .apk files.
    Language English
    Publishing date 2024-02-16
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-03027-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Bilateral Anteriorly Displaced Microspherophakia in a Female Child With Marfanoid Habitus.

    Khan, Taimoor A / Khan, Ali A / Khan, Asfandyar / Zahid, Muhammad A / Mehboob, Mohammad A

    Cureus

    2023  Volume 15, Issue 5, Page(s) e38371

    Abstract: Microspherophakia is a rare congenital anomaly characterized by an abnormally small and spherical crystalline lens, which can be associated with several systemic syndromes. We present an extremely rare case of bilateral anteriorly displaced ... ...

    Abstract Microspherophakia is a rare congenital anomaly characterized by an abnormally small and spherical crystalline lens, which can be associated with several systemic syndromes. We present an extremely rare case of bilateral anteriorly displaced microspherophakia in a female child with Marfanoid habitus. The patient displayed phenotypic features resembling Marfan syndrome, including tall stature, muscle hypotonia, dolichostenomelia, and increased arm span than body length. However, unlike Marfan syndrome, Marfanoid habitus is not associated with mutations in the fibrillin-1 gene. The association between microspherophakia and Marfanoid habitus is a unique presentation that has not been reported in the literature. This case report aims to increase awareness of microspherophakia as a possible ocular association of Marfanoid habitus.
    Language English
    Publishing date 2023-05-01
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.38371
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  10. Article ; Online: Donning and Doffing of Personal Protective Equipment (PPE). The Training which was Never Imparted

    Khan, Taimoor Ashraf

    Annals of King Edward Medical University; Vol. 26 No.; 407 ; 2079-0694 ; 2079-7192 ; 10.21649/akemu.v26i2

    2020  Volume 2, Issue : AKEMU

    Abstract: Corona Virus disease 2019 (COVID-19) pandemic has taken the world by storm and shattered the global socioeconomic system. COVID-19 has challenged the health care systems across the world but the vulnerable health care systems of third world countries ... ...

    Abstract Corona Virus disease 2019 (COVID-19) pandemic has taken the world by storm and shattered the global socioeconomic system. COVID-19 has challenged the health care systems across the world but the vulnerable health care systems of third world countries were the most effected of this calamity. Health care workers of Pakistan were the most affected subset of these positive patients. As of 30th June 2020, 5367 confirmed cases were reported amongst healthcare workers, 58 deaths have been documented and many suspected health care workers have isolated themselves till the results of their RT PCR tests.1
    Keywords . ; covid19
    Language English
    Publishing date 2020-09-30
    Publisher King Edward Medical University
    Publishing country pk
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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