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  1. Book ; Thesis: Are elevated serum haemolysis markers a harbinger of adverse events in HeartMate II patients?

    Shoaib, Mohamed

    2018  

    Author's details vorgelegt von Mohamed Shoaib
    Language English
    Size 15 Seiten, Diagramme
    Publishing place Aachen
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2018
    Note Die Dissertation wurde zuvor 2018 als Aufsatz in der Zeitschrift "Interactive Cardiovascular Thoracic and Surgery" (27.2018:5-12) veröffentlicht
    HBZ-ID HT019927035
    Database Catalogue ZB MED Medicine, Health

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    2019 D 342 order for loan Magazin

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  2. Article ; Online: Kaniadakis's Information Geometry of Compositional Data.

    Pistone, Giovanni / Shoaib, Muhammad

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 7

    Abstract: We propose to use a particular case of Kaniadakis' logarithm for the exploratory analysis of compositional data following the Aitchison approach. The affine information geometry derived from Kaniadakis' logarithm provides a consistent setup for the ... ...

    Abstract We propose to use a particular case of Kaniadakis' logarithm for the exploratory analysis of compositional data following the Aitchison approach. The affine information geometry derived from Kaniadakis' logarithm provides a consistent setup for the geometric analysis of compositional data. Moreover, the affine setup suggests a rationale for choosing a specific divergence, which we name the Kaniadakis divergence.
    Language English
    Publishing date 2023-07-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25071107
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  3. Article ; Online: Executive dysfunction and cognitive decline, a non-motor symptom of Parkinson's disease captured in animal models.

    Iravani, Mahmoud M / Shoaib, Mohammed

    International review of neurobiology

    2023  Volume 174, Page(s) 231–255

    Abstract: The non-motor symptoms of Parkinson's disease (PD) have gained increasing attention in recent years due to their significant impact on patients' quality of life. Among these non-motor symptoms, cognitive dysfunction has emerged as an area of particular ... ...

    Abstract The non-motor symptoms of Parkinson's disease (PD) have gained increasing attention in recent years due to their significant impact on patients' quality of life. Among these non-motor symptoms, cognitive dysfunction has emerged as an area of particular interest where the clinical aspects are covered in Chapter 2 of this volume. This chapter explores the rationale for investigating the underlying neurobiology of cognitive dysfunction by utilising translational animal models of PD, from rodents to non-human primates. The objective of this chapter is to review the various animal models of cognition that have explored the dysfunction in animal models of Parkinson's disease. Some of the more advanced pharmacological studies aimed at restoring these cognitive deficits are reviewed, although this chapter highlights the lack of systematic approaches in dealing with this non-motor symptom at the pre-clinical stages.
    MeSH term(s) Animals ; Cognition ; Cognitive Dysfunction/etiology ; Models, Animal ; Parkinson Disease ; Quality of Life
    Language English
    Publishing date 2023-12-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 209876-3
    ISSN 2162-5514 ; 0074-7742
    ISSN (online) 2162-5514
    ISSN 0074-7742
    DOI 10.1016/bs.irn.2023.12.001
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  4. Article ; Online: Corneal abrasion due to face mask in children: A novel and potential mechanism of injury related to COVID 19 pandemic.

    Shoaib, M / Chomayil, Y / Zafar, M

    Visual journal of emergency medicine

    2022  Volume 27, Page(s) 101290

    Language English
    Publishing date 2022-03-15
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2834833-3
    ISSN 2405-4690 ; 2405-4690
    ISSN (online) 2405-4690
    ISSN 2405-4690
    DOI 10.1016/j.visj.2022.101290
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  5. Article ; Online: ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction.

    Mehmood, Faiza / Arshad, Shazia / Shoaib, Muhammad

    Briefings in bioinformatics

    2024  Volume 25, Issue 2

    Abstract: Enhancers play an important role in the process of gene expression regulation. In DNA sequence abundance or absence of enhancers and irregularities in the strength of enhancers affects gene expression process that leads to the initiation and propagation ... ...

    Abstract Enhancers play an important role in the process of gene expression regulation. In DNA sequence abundance or absence of enhancers and irregularities in the strength of enhancers affects gene expression process that leads to the initiation and propagation of diverse types of genetic diseases such as hemophilia, bladder cancer, diabetes and congenital disorders. Enhancer identification and strength prediction through experimental approaches is expensive, time-consuming and error-prone. To accelerate and expedite the research related to enhancers identification and strength prediction, around 19 computational frameworks have been proposed. These frameworks used machine and deep learning methods that take raw DNA sequences and predict enhancer's presence and strength. However, these frameworks still lack in performance and are not useful in real time analysis. This paper presents a novel deep learning framework that uses language modeling strategies for transforming DNA sequences into statistical feature space. It applies transfer learning by training a language model in an unsupervised fashion by predicting a group of nucleotides also known as k-mers based on the context of existing k-mers in a sequence. At the classification stage, it presents a novel classifier that reaps the benefits of two different architectures: convolutional neural network and attention mechanism. The proposed framework is evaluated over the enhancer identification benchmark dataset where it outperforms the existing best-performing framework by 5%, and 9% in terms of accuracy and MCC. Similarly, when evaluated over the enhancer strength prediction benchmark dataset, it outperforms the existing best-performing framework by 4%, and 7% in terms of accuracy and MCC.
    MeSH term(s) Benchmarking ; Medicine ; Neural Networks, Computer ; Nucleotides ; Regulatory Sequences, Nucleic Acid
    Chemical Substances Nucleotides
    Language English
    Publishing date 2024-02-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 2068142-2
    ISSN 1477-4054 ; 1467-5463
    ISSN (online) 1477-4054
    ISSN 1467-5463
    DOI 10.1093/bib/bbae030
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  6. Article: Effect of pH-modifiers on the rheological behaviour of clay slurries: Difference between a swelling and non-swelling clay

    Shoaib, M. / Cruz, Nestor / Bobicki, E.R.

    Colloids and surfaces. 2022 June 20, v. 643

    2022  

    Abstract: Owing to their anisotropic surface charge and anisometric shape aqueous clay slurries are known to exhibit rich rheological behavior with the existence of yield stress at very low solids concentrations which can be modulated using different pH modifiers. ...

    Abstract Owing to their anisotropic surface charge and anisometric shape aqueous clay slurries are known to exhibit rich rheological behavior with the existence of yield stress at very low solids concentrations which can be modulated using different pH modifiers. The impact of particle-particle association on the rheological behaviour of two different clays, a swelling 2:1 (bentonite) and a non-swelling 1:1 clay (kaolin) was investigated. Effect of factors such as pH, pH modifiers, and solids concentration on the rheological behaviour was studied using Small Amplitude Oscillatory Shear (SAOS) and shear rheology. For kaolin, the microstructural strength as measured using storage modulus (G′) was reflected directly in the high shear response. However, for bentonite the high shear viscosity evolved non- monotonically as a function of G′ which was connected to its swelling behaviour. Cohesive energy density increased sharply as a function of volume fraction for bentonite compared to kaolin and may provide a basis for the stark contrast in industrial unit operation response of the two clays. The results highlight the importance of using several rheological material functions to understand the true microstructure of clay dispersions.
    Keywords anisotropy ; bentonite ; clay ; energy density ; kaolin ; microstructure ; pH ; rheology ; storage modulus ; viscosity
    Language English
    Dates of publication 2022-0620
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1500517-3
    ISSN 0927-7757
    ISSN 0927-7757
    DOI 10.1016/j.colsurfa.2022.128699
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Kinship identification using age transformation and Siamese network.

    Abbas, Arshad / Shoaib, Muhammad

    PeerJ. Computer science

    2022  Volume 8, Page(s) e987

    Abstract: Facial images are used for kinship verification. Traditional convolutional neural networks and transfer learning-based approaches are presently used for kinship identification. The transfer-learning approach is useful in many fields. However, it does not ...

    Abstract Facial images are used for kinship verification. Traditional convolutional neural networks and transfer learning-based approaches are presently used for kinship identification. The transfer-learning approach is useful in many fields. However, it does not perform well in the identification of humans' kinship because transfer-learning models are trained on a different type of data that is significantly different as compared to human face image data, a technique which may be able for kinship identification by comparing images of parents and their children with transformed age instead of comparing their actual images is required. In this article, a technique for kinship identification using a Siamese neural network and age transformation algorithm is proposed. The results are satisfactory as an overall accuracy of 76.38% has been achieved. Further work can be carried out to improve the accuracy by improving the Life Span Age Transformation (LAT) algorithm for kinship identification using facial images.
    Language English
    Publishing date 2022-06-08
    Publishing country United States
    Document type Journal Article
    ISSN 2376-5992
    ISSN (online) 2376-5992
    DOI 10.7717/peerj-cs.987
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  8. Article ; Online: Exploring the Anionic Redox Chemistry in Cathode Materials for High-Energy-Density Sodium-Ion Batteries.

    Shoaib, Muhammad / Thangadurai, Venkataraman

    ACS omega

    2022  Volume 7, Issue 39, Page(s) 34710–34717

    Abstract: Improving the energy and power densities of sodium-ion batteries is a prime challenge to establish this energy storage technology to be on par with state-of-the-art lithium-ion batteries. The energy density of the sodium-ion batteries is limited due to ... ...

    Abstract Improving the energy and power densities of sodium-ion batteries is a prime challenge to establish this energy storage technology to be on par with state-of-the-art lithium-ion batteries. The energy density of the sodium-ion batteries is limited due to the lower redox potential of their electrode materials compared to that of the corresponding Li analogues; however, it can be overcome by triggering the anionic redox. Although anionic redox has received significant research interest, a clear understanding of the underlying mechanism for delivery of high capacity by utilizing anionic redox is still lacking. Formidable challenges associated with the utilization of anionic redox such as rapid material degradation, voltage fade, and oxygen release hinder its practical applications. Given the great potential of anionic redox chemistry for developing high-energy batteries, in this mini-review, the recent mechanistic understanding, electrode material degradation pathways including oxygen release, and strategies to trigger anionic redox are discussed. An overview of the existing potential and future research directions of sodium-ion batteries involving anionic reaction is provided at the end.
    Language English
    Publishing date 2022-09-22
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.2c03883
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  9. Article ; Online: Variations in growth performance of Catla (Cattla cattla), Rohu (Labeo rohita) and Mrigal (Cirhinus mrigala) fed with varying levels of fishmeal based diets in intensive farming.

    Karim, A / Shoaib, M / Khwaja, S / Yawar, N A / Raza, A A / BiBi, S

    Brazilian journal of biology = Revista brasleira de biologia

    2023  Volume 84, Page(s) e267950

    Abstract: A one year feeding trial was conducted on carps i.e. Catla (Cattla cattla), Mrigal (Cirhinus mrigala) and Rohu (Labeo rohita) to find out appropriate level of fishmeal in diet and their effects on growth, survival and biomass in intensive polyculture. ... ...

    Abstract A one year feeding trial was conducted on carps i.e. Catla (Cattla cattla), Mrigal (Cirhinus mrigala) and Rohu (Labeo rohita) to find out appropriate level of fishmeal in diet and their effects on growth, survival and biomass in intensive polyculture. Three different inclusions of fishmeal were used in experimental diets (25%, 35% and 45%). Highest average daily growth was observed by 25% fish meal diet (2.18g, 2.19g and 2.34g for catla, rohu and mrigal respectively), whereas 35% fish meal based diet was next by showing 1.63g average daily growth for catla, 1.73g for rohu and 1.67g for mrigal. Mean values of monthly weight again and average daily growth showed significant differences among treatments. Growth was found to be higher in C. mrigala in case of 25% and 45% and L. rohita in case of 35% fish meal. Minimum FCR was obtained by 25% FM based diets as 3.53±0.41 followed by 45% (3.82±0.33) and 35% (4.05±0.45). The findings of this research trial determine the optimum dietary level of fishmeal and its effectiveness as an important ingredient in diets of Indian major carps. It is proved that a feed by the combination of animal and plant protein is much preferable by carps as compare to a feed with higher concentration of fish meal.
    MeSH term(s) Animals ; Agriculture ; Carps ; Cyprinidae ; Diet/veterinary ; Farms
    Language English
    Publishing date 2023-04-17
    Publishing country Brazil
    Document type Clinical Trial, Veterinary ; Journal Article
    ZDB-ID 2036257-2
    ISSN 1678-4375 ; 1519-6984
    ISSN (online) 1678-4375
    ISSN 1519-6984
    DOI 10.1590/1519-6984.267950
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  10. Article ; Online: Length-weight relationships of farmed major carps (Cattla cattla, Labeo rohita and Cirhinus mrigala) fed with different sources of protein in an intensive polyculture.

    Karim, A / Khwaja, S / Shoaib, M / Yawar, N A / Aziz, Z / Hafeeza, B

    Brazilian journal of biology = Revista brasleira de biologia

    2023  Volume 84, Page(s) e268040

    Abstract: The present findings provide information regarding the length-weight relationships (LWRs) of Indian major carps viz Cattla cattla, Labeo rohita and Cirhinus mrigala in an intensive polyculture system. Much work has been done in Pakistan with respect to ... ...

    Abstract The present findings provide information regarding the length-weight relationships (LWRs) of Indian major carps viz Cattla cattla, Labeo rohita and Cirhinus mrigala in an intensive polyculture system. Much work has been done in Pakistan with respect to fish LWRs, much of such work has been ignored. Carps were fed with twelve different formulated diets containing four different sources of protein i.e. fish meal (FM), all parts chicken meal (APCM), corn gluten (CGM) and soybean meal (SBM). Each type of protein is used at inclusion level of 25, 35 and 45% into the formulated diets to evaluate the minimum requirement of that ingredient for optimal growth of in-hand species. The values of slope "b" ranged from 2.20 to 4.90 for these species of carps which showed a strong healthy relationship among variables (level of protein and months).
    MeSH term(s) Animals ; Carps ; Cyprinidae ; Fish Proteins ; Chickens ; Farms
    Chemical Substances Fish Proteins
    Language English
    Publishing date 2023-01-30
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 2036257-2
    ISSN 1678-4375 ; 1519-6984
    ISSN (online) 1678-4375
    ISSN 1519-6984
    DOI 10.1590/1519-6984.268040
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