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  1. Book ; Online: Genuine entanglement under squeezed generalized amplitude damping channels with memory

    Ali, Mazhar

    2024  

    Abstract: We study genuine entanglement among $3$-qubits undergoing through a noisy process including dissipation, squeezing and decoherence. We obtain a general solution and analyze the asymptotic quantum states. It turns out that most of these asymptotic states ... ...

    Abstract We study genuine entanglement among $3$-qubits undergoing through a noisy process including dissipation, squeezing and decoherence. We obtain a general solution and analyze the asymptotic quantum states. It turns out that most of these asymptotic states can be genuinely entangled depending upon parameters of channel, memory parameter, and parameters of initial states. We study Greenberger-Horne-Zeilinger (GHZ) states and W states, mixed with white noise and determine the conditions for them to be genuinely entangled at infinity. We find that for these mixtures, it is possible to start with bi-separable state (with specific mixture of white noise as described below) and end up with genuine entangled states. However, the memory parameter $\mu$ must be very high. We find that in contrast to two-qubit case, all three qubit asymptotic states for $n \to \infty$ are not genuinely entangled.

    Comment: 14 pages, 4 figures
    Keywords Quantum Physics
    Subject code 612
    Publishing date 2024-01-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Thesis: Grain filling, starch degradation and feeding value of maize for ruminants

    Ali, Mazhar

    2013  

    Author's details Mazhar Ali
    Language English
    Size 177 S. : Ill., graph. Darst.
    Publishing place Wageningen
    Publishing country Netherlands
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Wageningen, Univ., Diss., 2013
    Note Zsfassung in niederländ. Sprache
    HBZ-ID HT018530363
    ISBN 978-94-6173-819-6 ; 94-6173-819-6
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Shelf markLoan statusLocation
    158/173 available for loan (reading room) Freihandmagazin (U1)

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  3. Article ; Online: Stone clearance and complication rate of micro percutaneous nephrolithotomy and retrograde intrarenal surgery for lower pole renal stone: A randomized trial.

    Sajjad, Kumail / Shahid, Maisam Ali / Ali, Mazhar / Hayat, Khizar / Nazir, Muhammad

    Journal of Ayub Medical College, Abbottabad : JAMC

    2024  Volume 35Suppl 1, Issue 4, Page(s) S721–S725

    Abstract: Background: The use of unhealthy food and a sedentary lifestyle increases daily health problems. Renal stones are one among others. Endourology promises the minimum complications and the highest stone clearance rate. Indications of the two procedures ... ...

    Abstract Background: The use of unhealthy food and a sedentary lifestyle increases daily health problems. Renal stones are one among others. Endourology promises the minimum complications and the highest stone clearance rate. Indications of the two procedures overlap micro-PCNL and RIRS. The objective was to evaluate stone clearance and complication rate of micro-PCNL and RIRS for lower pole renal stones.
    Methods: The research design of this study was a randomized trial and was done after approval of the ethical review committee. The sampling technique was consecutive sampling at the Urology department. Patients included in the study according to inclusion criteria were 96 in number. Randomization into two groups (RIRS vs micro-PCNL) was done by even odd method. All the procedure was done by a single senior urologist.
    Results: Their ratio among males and females was 2:1. Mean LOS in the RIRS group was 2.89±0.86 days and in the micro-PCNL group 2.58±0.65 days (p=0.047). The complication rate in the RIRS group was 6.2% and 8.3% in micro-PCNL (p=0.695). Mean post-operative haemoglobin was 12.30±1.07 g/dL among the RIRS group and among the micro-PCNL group it was 11.21±1.08 g/dL (p<0.001). There was an average haemoglobin drop in the micro-PCNL group of 1.09±0.01 g/dL. 75% clearance of stone after one session was achieved in the RIRS group while 79.2% was achieved in the micro-PCNL group (p=0.627).
    Conclusion: Length of hospital stay (LOS) and stone clearance rate (SFR) were similar in both groups with insignificant statistical differences. There is a need to conduct more studies with a large number of study participants and involving multi-centers.
    MeSH term(s) Male ; Female ; Humans ; Nephrolithotomy, Percutaneous/adverse effects ; Nephrostomy, Percutaneous/methods ; Kidney Calculi/surgery ; Lithotripsy ; Hemoglobins ; Treatment Outcome
    Chemical Substances Hemoglobins
    Language English
    Publishing date 2024-02-26
    Publishing country Pakistan
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 2192473-9
    ISSN 1819-2718 ; 1025-9589
    ISSN (online) 1819-2718
    ISSN 1025-9589
    DOI 10.55519/JAMC-S4-11807
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6109: 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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  4. Article: Incidental Prostate Cancer: A 23-Year Review Of A Tertiary Care Hospital.

    Khalique, Abdul / Hussain, Mudassir / Kumar, Pardeep / Ali, Mazhar / Hassan, Asad Shehzad / Hashmi, Altaf

    JPMA. The Journal of the Pakistan Medical Association

    2023  Volume 73, Issue 8, Page(s) 1709–1711

    Abstract: Prostate cancer is the second most commonly diagnosed malignancy in men worldwide. The prevalence has been increasing with significant differences between regions. This study assesses the prevalence of incidental prostate cancer detected in specimens ... ...

    Abstract Prostate cancer is the second most commonly diagnosed malignancy in men worldwide. The prevalence has been increasing with significant differences between regions. This study assesses the prevalence of incidental prostate cancer detected in specimens removed during bladder outlet obstruction operation. A retrospective analysis of the records of patients who had either endoscopic or open prostatectomy from January 1998 to December 2021 was conducted. The variables analysed were age, procedure, date of surgery, and Gleason score. A total of 2,842 patients underwent surgery on the prostate gland during the study period. Most of the patients, i.e. 2,733 (96.2%), were pathologically diagnosed with benign prostatic hyperplasia, while only 110 (3.9%) had prostate cancer. The frequency of incidental prostate cancer following surgery for bladder outlet obstruction has decreased over the last two decades at our centre, possibly because of an increase in PSA testing.
    MeSH term(s) Male ; Humans ; Retrospective Studies ; Tertiary Care Centers ; Urinary Bladder Neck Obstruction ; Prostatic Neoplasms/diagnosis ; Prostatic Neoplasms/epidemiology ; Prostatic Neoplasms/surgery ; Prostate/surgery ; Neoplasms, Second Primary
    Language English
    Publishing date 2023-09-12
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 603873-6
    ISSN 0030-9982
    ISSN 0030-9982
    DOI 10.47391/JPMA.7660
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 845: 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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  5. Article ; Online: SELWAK: A Secure and Efficient Lightweight and Anonymous Authentication and Key Establishment Scheme for IoT Based Vehicular Ad hoc Networks.

    Jan, Sagheer Ahmed / Amin, Noor Ul / Shuja, Junaid / Abbas, Assad / Maray, Mohammed / Ali, Mazhar

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 11

    Abstract: In recent decades, Vehicular Ad Hoc Networks (VANET) have emerged as a promising field that provides real-time communication between vehicles for comfortable driving and human safety. However, the Internet of Vehicles (IoV) platform faces some serious ... ...

    Abstract In recent decades, Vehicular Ad Hoc Networks (VANET) have emerged as a promising field that provides real-time communication between vehicles for comfortable driving and human safety. However, the Internet of Vehicles (IoV) platform faces some serious problems in the deployment of robust authentication mechanisms in resource-constrained environments and directly affects the efficiency of existing VANET schemes. Moreover, the security of the information becomes a critical issue over an open wireless access medium. In this paper, an efficient and secure lightweight anonymous mutual authentication and key establishment (SELWAK) for IoT-based VANETs is proposed. The proposed scheme requires two types of mutual authentication: V2V and V2R. In addition, SELWAK maintains secret keys for secure communication between Roadside Units (
    MeSH term(s) Communication ; Computer Communication Networks ; Computer Security ; Humans ; Internet
    Language English
    Publishing date 2022-05-26
    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/s22114019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Crystal Growth and Physical Properties of Hybrid CoSn-YCo

    Bravo, Moisés / McCandless, Gregory T / Baumbach, Ryan E / Wang, Yaojia / Ali, Mazhar N / Chan, Julia Y

    Inorganic chemistry

    2023  Volume 62, Issue 44, Page(s) 18049–18055

    Abstract: There is an ongoing interest in kagome materials because they offer tunable platforms at the intersection of magnetism and electron correlation. Herein, we examine single crystals of new kagome materials, ... ...

    Abstract There is an ongoing interest in kagome materials because they offer tunable platforms at the intersection of magnetism and electron correlation. Herein, we examine single crystals of new kagome materials, Ln
    Language English
    Publishing date 2023-10-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1484438-2
    ISSN 1520-510X ; 0020-1669
    ISSN (online) 1520-510X
    ISSN 0020-1669
    DOI 10.1021/acs.inorgchem.3c02172
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  7. Article ; Online: Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder.

    Guleria, Harsh Vardhan / Luqmani, Ali Mazhar / Kothari, Harsh Devendra / Phukan, Priyanshu / Patil, Shruti / Pareek, Preksha / Kotecha, Ketan / Abraham, Ajith / Gabralla, Lubna Abdelkareim

    International journal of environmental research and public health

    2023  Volume 20, Issue 5

    Abstract: A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either cancerous or benign. The first implementations involved the use of machine learning algorithms. Random Forest and Support Vector Machine (SVM) were used to ... ...

    Abstract A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either cancerous or benign. The first implementations involved the use of machine learning algorithms. Random Forest and Support Vector Machine (SVM) were used to classify the input histopathological images into whether they were cancerous or non-cancerous. The implementations continued to provide promising results, and then Artificial Neural Networks (ANNs) were applied for this purpose. We propose an approach for reconstructing the images using a Variational Autoencoder (VAE) and the Denoising Variational Autoencoder (DVAE) and then use a Convolutional Neural Network (CNN) model. Afterwards, we predicted whether the input image was cancerous or non-cancerous. Our implementation provides predictions with 73% accuracy, which is greater than the results produced by our custom-built CNN on our dataset. The proposed architecture will prove to be a new field of research and a new area to be explored in the field of computer vision using CNN and Generative Modelling since it incorporates reconstructions of the original input images and provides predictions on them thereafter.
    MeSH term(s) Neural Networks, Computer ; Algorithms ; Machine Learning ; Image Processing, Computer-Assisted/methods ; Neoplasms
    Language English
    Publishing date 2023-02-27
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph20054244
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Voltage Feasibility Boundaries for Power System Security Assessment

    Ali, Mazhar / Gryazina, Elena / Dymarsky, Anatoly / Vorobev, Petr

    2021  

    Abstract: Modern power systems face a grand challenge in grid management due to increased electricity demand, imminent disturbances, and uncertainties associated with renewable generation, which can compromise grid security. The security assessment is directly ... ...

    Abstract Modern power systems face a grand challenge in grid management due to increased electricity demand, imminent disturbances, and uncertainties associated with renewable generation, which can compromise grid security. The security assessment is directly connected to the robustness of the operating condition and is evaluated by analyzing proximity to the power flow solution space's boundary. Calculating location of such a boundary is a computationally challenging task, linked to the power flow equations' non-linear nature, presence of technological constraints, and complicated network topology. In this paper we introduce a general framework to characterize points on the power flow solution space boundary in terms of auxiliary variables subject to algebraic constraints. Then we develop an adaptive continuation algorithm to trace 1-dimensional sections of boundary curves which exhibits robust performance and computational tractability. Implementation of the algorithm is described in detail, and its performance is validated on different test networks.

    Comment: This manuscript has been submitted to IEEE Transactions on Power Systems for possible publication
    Keywords Mathematics - Numerical Analysis
    Subject code 621
    Publishing date 2021-02-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Quantum states and intertwining phases in kagome materials

    Wang, Yaojia / Wu, Heng / McCandless, Gregory T. / Chan, Julia Y. / Ali, Mazhar N.

    2023  

    Abstract: In solid materials, nontrivial topological states, electron correlations, and magnetism are central ingredients for realizing quantum properties, including unconventional superconductivity, charge and spin density waves, and quantum spin liquids. The ... ...

    Abstract In solid materials, nontrivial topological states, electron correlations, and magnetism are central ingredients for realizing quantum properties, including unconventional superconductivity, charge and spin density waves, and quantum spin liquids. The Kagome lattice, made up of connected triangles and hexagons, can host these three ingredients simultaneously and has proven to be a fertile platform for studying diverse quantum phenomena including those stemming from the interplay of these ingredients. In this review, we introduce the fundamental properties of the Kagome lattice as well as discuss the complex observed phenomena seen in several emergent material systems such as the intertwining of charge order and superconductivity in some Kagome metals, modulation of magnetism and topology in some Kagome magnets, and symmetry breaking with Mott physics in the breathing Kagome insulators. We also highlight many open questions in the field as well as future research directions of Kagome systems.
    Keywords Condensed Matter - Strongly Correlated Electrons ; Condensed Matter - Materials Science
    Subject code 530 ; 190
    Publishing date 2023-03-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder

    Harsh Vardhan Guleria / Ali Mazhar Luqmani / Harsh Devendra Kothari / Priyanshu Phukan / Shruti Patil / Preksha Pareek / Ketan Kotecha / Ajith Abraham / Lubna Abdelkareim Gabralla

    International Journal of Environmental Research and Public Health, Vol 20, Iss 4244, p

    2023  Volume 4244

    Abstract: A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either cancerous or benign. The first implementations involved the use of machine learning algorithms. Random Forest and Support Vector Machine (SVM) were used to ... ...

    Abstract A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either cancerous or benign. The first implementations involved the use of machine learning algorithms. Random Forest and Support Vector Machine (SVM) were used to classify the input histopathological images into whether they were cancerous or non-cancerous. The implementations continued to provide promising results, and then Artificial Neural Networks (ANNs) were applied for this purpose. We propose an approach for reconstructing the images using a Variational Autoencoder (VAE) and the Denoising Variational Autoencoder (DVAE) and then use a Convolutional Neural Network (CNN) model. Afterwards, we predicted whether the input image was cancerous or non-cancerous. Our implementation provides predictions with 73% accuracy, which is greater than the results produced by our custom-built CNN on our dataset. The proposed architecture will prove to be a new field of research and a new area to be explored in the field of computer vision using CNN and Generative Modelling since it incorporates reconstructions of the original input images and provides predictions on them thereafter.
    Keywords variational autoencoder ; histopathology image ; deep learning ; Medicine ; R
    Subject code 006
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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