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  1. Article ; Online: Impact of urban sprawl on change of environment and consequences.

    Das, Bhumika / Khan, Farhan / Mohammad, Pir

    Environmental science and pollution research international

    2023  Volume 30, Issue 49, Page(s) 106894–106897

    MeSH term(s) Urbanization
    Language English
    Publishing date 2023-08-02
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-29192-3
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  2. Article: Role of Optical Coherence Tomography in Chronic Spontaneous Coronary Artery Dissection-Diagnosis and Management.

    Maqableh, Ghaith Mohammad Yousef / Khan, Kumail Abbas / Shahid, Farhan / Khan, Sohail Q

    Heart views : the official journal of the Gulf Heart Association

    2023  Volume 24, Issue 2, Page(s) 119–121

    Abstract: Spontaneous coronary artery dissection is an underdiagnosed cause of acute coronary syndrome, often occurring in younger females. Such a diagnosis should always be considered in this demographic. In this case report, we focus on the importance of optical ...

    Abstract Spontaneous coronary artery dissection is an underdiagnosed cause of acute coronary syndrome, often occurring in younger females. Such a diagnosis should always be considered in this demographic. In this case report, we focus on the importance of optical coherence tomography in the diagnosis and management of this condition in the elective setting.
    Language English
    Publishing date 2023-03-24
    Publishing country India
    Document type Case Reports
    ZDB-ID 2575257-1
    ISSN 0976-5123 ; 1995-705X
    ISSN (online) 0976-5123
    ISSN 1995-705X
    DOI 10.4103/heartviews.heartviews_101_22
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  3. Article: The shared genetic risk factors between Tourette syndrome and obsessive-compulsive disorder.

    Khoodoruth, Mohamed Adil Shah / Ahammad, Foysal / Khan, Yasser Saeed / Mohammad, Farhan

    Frontiers in neurology

    2023  Volume 14, Page(s) 1283572

    Abstract: Tourette syndrome (TS) and obsessive-compulsive disorder (OCD) are two neuropsychiatric disorders that frequently co-occur. Previous evidence suggests a shared genetic diathesis underlying the comorbidity of TS and OCD. This review aims to ... ...

    Abstract Tourette syndrome (TS) and obsessive-compulsive disorder (OCD) are two neuropsychiatric disorders that frequently co-occur. Previous evidence suggests a shared genetic diathesis underlying the comorbidity of TS and OCD. This review aims to comprehensively summarize the current literature on the genetic factors linked with TS and its comorbidities, with a focus on OCD. Family studies, linkage analysis, cytogenetic studies, and genome-wide association studies (GWAS) have played a pivotal role in identifying common and rare genetic variants connected with TS and OCD. Although the genetic framework of TS and OCD is complex and multifactorial, several susceptibility loci and candidate genes have been identified that might play a crucial role in the pathogenesis of both disorders. Additionally, post-infectious environmental elements have also been proposed to contribute to the development of TS-OCD, although the dynamics between genetic and environmental factors is not yet fully understood. International collaborations and studies with well-defined phenotypes will be crucial in the future to further elucidate the genetic basis of TS and OCD and to develop targeted therapeutic strategies for individuals suffering from these debilitating conditions.
    Language English
    Publishing date 2023-10-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2023.1283572
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  4. Article: Plant Extract-Based Fabrication of Silver Nanoparticles and Their Effective Role in Antibacterial, Anticancer, and Water Treatment Applications.

    Farooq, Umar / Qureshi, Ahmad Kaleem / Noor, Hadia / Farhan, Muhammad / Khan, Mohammad Ehtisham / Hamed, Osama A / Bashiri, Abdullateef H / Zakri, Waleed

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 12

    Abstract: ... Ammi ... ...

    Abstract Ammi visnaga
    Language English
    Publishing date 2023-06-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12122337
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  5. Article ; Online: Neutron activation analysis of sediments of the Padma River adjacent to Rooppur Nuclear Power Plant: Elemental and multivariate statistical approach.

    Sayam, Abu Sayed Mohammed / Islam, Mohammad Amirul / Ali, Md Rahat / Hossain Khan, Mohammad Monzur / Ishrak, Md Farhan

    Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine

    2023  Volume 196, Page(s) 110784

    Abstract: This study investigated the major and trace element concentrations in the sediments of the Padma River adjacent to the under-construction Rooppur Nuclear Power Plant to have baseline elemental concentration data. Instrumental Neutron Activation Analysis ( ...

    Abstract This study investigated the major and trace element concentrations in the sediments of the Padma River adjacent to the under-construction Rooppur Nuclear Power Plant to have baseline elemental concentration data. Instrumental Neutron Activation Analysis (INAA) was used to determine a total of twenty-three elements (Al, As, Ca, Ce, Co, Cr, Cs, Dy, Eu, Fe, Hf, La, Mn, Na, Sb, Sc, Sm, Ti, Th, U, V, Yb, and Zn). The calculation of the enrichment factor, geo-accumulation index, and pollution load index revealed that most of the sediment samples were minor to moderately contaminated by twelve elements (As, Ca, Ce, Cs, Dy, Hf, La, Sb, Sm, Th, U, and Yb). An ecological risk assessment by ecological risk factor, comprehensive potential ecological risk index, and sediment quality guidelines showed that the sampling locations were subject to harmful biological effects due to high concentrations of As and Cr in the sediments. Three multivariate statistical analyses identified two groups of elements based on their characteristics in the sediments. This study will act as baseline elemental concentration data for future studies concerning anthropogenic activities in this area.
    Language English
    Publishing date 2023-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1142596-9
    ISSN 1872-9800 ; 0883-2889 ; 0969-8043
    ISSN (online) 1872-9800
    ISSN 0883-2889 ; 0969-8043
    DOI 10.1016/j.apradiso.2023.110784
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  6. Article ; Online: ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India

    Farhan Mohammad Khan / Rajiv Gupta

    Journal of Safety Science and Resilience, Vol 1, Iss 1, Pp 12-

    2020  Volume 18

    Abstract: In this paper, we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India. We adopted an Auto-Regressive Integrated Moving Average (ARIMA) model on the data collected ... ...

    Abstract In this paper, we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India. We adopted an Auto-Regressive Integrated Moving Average (ARIMA) model on the data collected from 31st January 2020 to 25th March 2020 and verified it using the data collected from 26th March 2020 to 04th April 2020. A nonlinear autoregressive (NAR) neural network was developed to compare the accuracy of predicted models. The model has been used for daily prediction of COVID-19 cases for next 50 days without any additional intervention. Statistics from various sources, including the Ministry of Health and Family Welfare (MoHFW) and http://covid19india.org/ are used for the study. The results showed an increasing trend in the actual and forecasted numbers of COVID-19 cases with approximately 1500 cases per day, based on available data as on 04th April 2020. The appropriate ARIMA (1,1,0) model was selected based on the Bayesian Information Criteria (BIC) values and the overall highest R2 values of 0.95. The NAR model architecture constitutes ten neurons, which was optimized using the Levenberg-Marquardt optimization training algorithm (LM) with the overall highest R2 values of 0.97.
    Keywords Time series ; Novel coronavirus ; SARS-CoV-2 ; Forecasting ; ARIMA ; NAR ; Risk in industry. Risk management ; HD61 ; covid19
    Subject code 310
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher KeAi Communications Co. Ltd.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Physicochemical Characterization of

    Ahmad, Saheem / Alouffi, Sultan / Khan, Saif / Khan, Mahvish / Akasha, Rihab / Ashraf, Jalaluddin Mohammad / Farhan, Mohd / Shahab, Uzma / Khan, Mohd Yasir

    BioMed research international

    2022  Volume 2022, Page(s) 5583298

    Abstract: Hundreds of millions of people around the globe are afflicted by diabetes mellitus. The alteration in glucose fixation process might result into hyperglycaemia and could affect the circulating plasma proteins to undergo nonenzymatic glycation reaction. ... ...

    Abstract Hundreds of millions of people around the globe are afflicted by diabetes mellitus. The alteration in glucose fixation process might result into hyperglycaemia and could affect the circulating plasma proteins to undergo nonenzymatic glycation reaction. If it is unchecked, it may lead to diabetes with increase in advanced glycation end products (AGEs). Therefore, the present study was designed to inhibit the diabetes and glycation by using natural antioxidant "ellagic acid" (EA). In this study, we explored the antidiabetes and antiglycation potential of EA in both
    MeSH term(s) Animals ; Antioxidants/metabolism ; Diabetes Complications ; Diabetes Mellitus, Experimental/metabolism ; Ellagic Acid/pharmacology ; Glutathione/metabolism ; Glycation End Products, Advanced/metabolism ; Glycosylation ; Rats
    Chemical Substances Antioxidants ; Glycation End Products, Advanced ; Ellagic Acid (19YRN3ZS9P) ; Glutathione (GAN16C9B8O)
    Language English
    Publishing date 2022-01-19
    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 10.1155/2022/5583298
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  8. Article ; Online: Comparative Safety and Efficacy of Low/Moderate-Intensity Statin plus Ezetimibe Combination Therapy vs. High-Intensity Statin Monotherapy in Patients with Atherosclerotic Cardiovascular Disease: An Updated Meta-Analysis.

    Hameed, Ishaque / Shah, Syeda Ayesha / Aijaz, Ashnah / Mushahid, Hasan / Farhan, Syed Husain / Dada, Muhammad / Khan, Adam Bilal / Amjad, Reeha / Alvi, Fawad / Murtaza, Mustafa / Zuberi, Zaid / Hamza, Mohammad

    American journal of cardiovascular drugs : drugs, devices, and other interventions

    2024  

    Abstract: Aim: Statin therapy is considered the gold standard for treating hypercholesterolemia. This updated meta-analysis aims to compare the efficacy and safety of a low/moderate-intensity statin in combination with ezetimibe compared with high-intensity ... ...

    Abstract Aim: Statin therapy is considered the gold standard for treating hypercholesterolemia. This updated meta-analysis aims to compare the efficacy and safety of a low/moderate-intensity statin in combination with ezetimibe compared with high-intensity statin monotherapy in patients with atherosclerotic cardiovascular disease (ASCVD).
    Methods: A systematic search of two databases (PubMed and Cochrane CENTRAL) was conducted from inception to January 2023 and a total of 21 randomized clinical trials (RCTs) were identified and included in the analysis. Data were pooled using Hedges's g and a Mantel-Haenszel random-effects model to derive standard mean differences (SMDs) and 95% confidence intervals (Cis). The primary outcome studied was the effect of these treatments on lipid parameters and safety events.
    Results: The results revealed that combination therapy was more effective in reducing low-density lipoprotein cholesterol (LDL-C) levels (SMD= - 0.41; CI - 0.63 to - 0.19; P = 0.0002). There was no significant change in the levels of high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), triglyceride (TG), high-sensitivity C-reactive protein (hs-CRP), Apo A1, or Apo B. The safety of these treatments was assessed by the following markers alanine aminotransferase (ALT), aspartate aminotransferase (AST), and creatine phosphokinase (CK), and a significant difference was only observed in CK (SMD: - 0.81; CI - 1.52 to - 0.10; P = 0.02).
    Conclusion: This meta-analysis demonstrated that the use of low/moderate-intensity statin combination therapy significantly reduced LDL-C levels compared with high-intensity statin monotherapy, making it preferable for patients with related risks. However, further trials are encouraged to evaluate potential adverse effects associated with combined therapy.
    Language English
    Publishing date 2024-04-05
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2052547-3
    ISSN 1179-187X ; 1175-3277
    ISSN (online) 1179-187X
    ISSN 1175-3277
    DOI 10.1007/s40256-024-00642-8
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    Zs.A 5487: Show issues Location:
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  9. Article ; Online: ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India

    Khan, Farhan Mohammad / Gupta, Rajiv

    Journal of Safety Science and Resilience

    2020  Volume 1, Issue 1, Page(s) 12–18

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 2666-4496
    DOI 10.1016/j.jnlssr.2020.06.007
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A convolutional neural network approach for detection of E. coli bacteria in water.

    Khan, Farhan Mohammad / Gupta, Rajiv / Sekhri, Sheetal

    Environmental science and pollution research international

    2021  Volume 28, Issue 43, Page(s) 60778–60786

    Abstract: The detection of Escherichia coli bacteria is essential to prevent health diseases. According to the laboratory-based methods, 12-48 h is required to detect bacteria in water. The drawback of depending on laboratory-based methods for the detection of E. ... ...

    Abstract The detection of Escherichia coli bacteria is essential to prevent health diseases. According to the laboratory-based methods, 12-48 h is required to detect bacteria in water. The drawback of depending on laboratory-based methods for the detection of E. coli bacteria can be prone to human errors. Hence, the bacterial detection process must be automated to reduce error. We implement an automated E. coli bacteria detection process using convolutional neural network (CNN) to address this issue. We have also proposed a mobile application for the rapid detection of E. coli bacteria in water that uses CNN. The developed CNN model achieved an accuracy of 96% and an error (loss) of 0.10, predicting each sample in only 458ms. The performance of the model was validated using the F-score, precision, sensitivity, and accuracy statistical measures, which shows that the model is reliable and effective in detecting E. coli. The study generates a methodology for predicting E. coli bacteria in water, which can be used to predict hotspots in terms of continuous exposure to water contamination.
    MeSH term(s) Escherichia coli ; Humans ; Neural Networks, Computer ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2021-06-24
    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/s11356-021-14983-3
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