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"Azhar, Muhammad"
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العرب والهند : تحولات العلاقة مع قوة ناشئة ومستقبلها = The Arabs and India : shifts in the relation with a rising power and its future
by
يوسف، أيمن، 1968- مؤلف
,
العذوبية، بهية بنت سعيد مؤلف
,
Khan, Javed Ahmad مؤلف
in
البلاد العربية علاقات خارجية الهند تاريخ
,
الهند علاقات خارجية البلاد العربية تاريخ
2020
يضم الكتاب ثلاثة عشر بحثا قدمت في مؤتمر تحت العنوان نفسه، عقده المركز بمقره في الدوحة في أيار / مايو 2018. تنطلق هذه البحوث من اعتبار أن الصورة التي ترسم مستقبل الهند بصفتها قوة عالمية صاعدة من الشرق، إضافة إلى قربها الجغرافي من البر العربي، وروابطها التاريخية والثقافية بشعوبه، ووجود كتلة كبيرة من العمالة الهندية في دول الخليج العربية، تفرض اهتمام العرب المتزايد بها. كما أن الهند من أكبر مستوردي الطاقة العربية، وبات نموها الاقتصادي ومكانتها العالمية مرتبطين بتوافر مصادر طاقة آمنة ومستمرة ورخيصة ما يجعل علاقتها بالعالم العربي تكتسي أهمية استثنائية.
Deciphering the genetic diversity and population structure of Turkish bread wheat germplasm using iPBS-retrotransposons markers
2021
Background
Research activities aiming to investigate the genetic diversity are very crucial because they provide information for the breeding and germplasm conservation activities. Wheat is one of the most important cereal crops globally by feeding more than a third of the human population around the world.
Methods and results
During present investigation, a total of 74 Turkish bread wheat accessions (54 landraces and 20 cultivars) were used as plant material and iPBS-retrotransposons marker system was used for the molecular characterization. 13 polymorphic primers used for molecular characterization resulted a total of 152 bands. Range of calculated diversity indices like polymorphism information content (0.11–0.702), effective numbers of alleles (1.026–1.526), Shannon’s information index (0.101–0.247) and gene diversity (0.098–0.443) confirmed higher genetic variations in studied germplasm. Bread wheat landraces reflected higher genetic variations compared to commercial cultivars. Analysis of molecular variance resulted that higher (98%) genetic variations are present within populations. The model-based structure algorithm separated 74 bread wheat accessions in to two populations. Diversity indices based on structure evaluated population’s revealed population B as a more diverse population. The principal coordinate analysis and neighbor-joining analysis separated 74 bread wheat accessions according to their collection points. Genetic distance for 74 Turkish bread wheat accessions explored Bingol and Asure accessions as genetically diverse that can be used as parents for breeding activities.
Conclusions
The extensive diversity of bread wheat in Turkish germplasm might be used as genetic resource for the exhaustive wheat breeding program. For instance, accessions Bingol and Asure were found genetically diverse and can be used as parents for future breeding activities.
Journal Article
Emerging Applications of Porphyrins and Metalloporphyrins in Biomedicine and Diagnostic Magnetic Resonance Imaging
by
Ramzan, Muhammad
,
Imran, Muhammad
,
Khan, Muhammad Azhar
in
bio-imaging
,
Biocompatibility
,
Biological activity
2018
In recent years, scientific advancements have constantly increased at a significant rate in the field of biomedical science. Keeping this in view, the application of porphyrins and metalloporphyrins in the field of biomedical science is gaining substantial importance. Porphyrins are the most widely studied tetrapyrrole-based compounds because of their important roles in vital biological processes. The cavity of porphyrins containing four pyrrolic nitrogens is well suited for the binding majority of metal ions to form metalloporphyrins. Porphyrins and metalloporphyrins possess peculiar photochemical, photophysical, and photoredox properties which are tunable through structural modifications. Their beneficial photophysical properties, such as the long wavelength of emission and absorption, high singlet oxygen quantum yield, and low in vivo toxicity, have drawn scientists’ interest to discover new dimensions in the biomedical field. Applications of porphyrins and metalloporphyrins have been pursued in the perspective of contrast agents for magnetic resonance imaging (MRI), photodynamic therapy (PDT) of cancer, bio-imaging, and other biomedical applications. This review discusses photophysics and the photochemistry of porphyrins and their metal complexes. Secondly, it explains the current developments and mode of action for contrast agents for MRI. Moreover, the application of porphyrin and metalloporphyrin-based molecules as a photosensitizer in PDT of cancer, the mechanism of the generation of reactive oxygen species (ROS), factors that determine the efficiency of PDT, and the developments to improve this technology are delineated. The last part explores the most recent research and developments on metalloporphyrin-based materials in bio-imaging, drug delivery, and the determination of ferrochelatase in bone marrow indicating their prospective clinical applications.
Journal Article
Recent Advances in Flexible Sensors and Their Applications
by
Batoo, Khalid Mujasam
,
Zazoum, Bouchaib
,
Khan, Muhammad Azhar Ali
in
Artificial Intelligence
,
Biocompatibility
,
Carbon black
2022
Flexible sensors are low cost, wearable, and lightweight, as well as having a simple structure as per the requirements of engineering applications. Furthermore, for many potential applications, such as human health monitoring, robotics, wearable electronics, and artificial intelligence, flexible sensors require high sensitivity and stretchability. Herein, this paper systematically summarizes the latest progress in the development of flexible sensors. The review briefly presents the state of the art in flexible sensors, including the materials involved, sensing mechanisms, manufacturing methods, and the latest development of flexible sensors in health monitoring and soft robotic applications. Moreover, this paper provides perspectives on the challenges in this field and the prospect of flexible sensors.
Journal Article
Environmental, social and governance (ESG) - augmented investments in innovation and firms' value: a fixed-effects panel regression of Asian economies
by
Khalil, Muhammad Azhar
,
Khalil, Rashid
,
Khalil, Muhammad Khuram
in
Carbon
,
Carbon dioxide
,
Climate change
2024
PurposeHistorically, investments in innovation are perceived as one of the paramount decisions businesses opt to thrive and the impact of such investments on businesses' market performance is well documented in the literature. However, the environmental aspects of making such investments are yet to be addressed by the firms, which in turn, present considerable damage to the environment. Coupling with the natural resource-based view (NRBV) and the stakeholder theory of the firm, this research builds on an earlier work of Khalil and Nimmanunta (2021) in an attempt to examine the link between innovation and firms' environmental and financial value. The authors extend their analysis and document a more consistent approach to measuring environmental innovation which allows the authors to investigate the firms from three additional economies with respect to firms' investments in both traditional and environmental innovations.Design/methodology/approachThe underlying models are tested using the time fixed-effects panel regression by utilizing information from publicly traded companies of ten Asian economies, including Japan, Hong Kong, Taiwan, Thailand, Turkey, Malaysia, Singapore, India, Indonesia, and Saudi Arabia. The reported sample covers annual firm-level ESG data obtained from Thomson Reuters' Datastream and Refinitiv Eikon during the 2015–2019 period.FindingsThis research offers support to the conventional wisdom that innovation is advantageous to the firms' market value. The authors further decompose innovation into traditional innovation and environmental innovation. The findings of this research suggest that traditional innovation is favorable only for the firms' market valuation and traditional innovation is strongly ineffectual for the environment – traditional innovation produces sizeable environmental distress by contributing substantially to carbon emissions. In contrast, the resultant effects of investments in environmental innovation are evident to be instrumental for both firms' financial performance and the environment.Research limitations/implicationsThis research has primarily focused on only two components of a company's environmental performance: reduction in carbon emissions (CO2) and corporate social responsibility (CSR). Given the complexity of firms' environmental strategies and the multidimensionality of the variable, which encompasses a wide range of corporate behavior in terms of relationships with communities, suppliers, consumers, and broader environmental responsibilities broadening the scope of the study by including other important aspects of environmental sustainability is, therefore, critical.Practical implicationsThe findings of this research signify environmental innovation as one of the vital investment approaches as firms can exploit benefits related to the market from firms' sustainable practices, developing eco-friendly processes by introducing steady yet systematic chains of green products and services. Such products and services may have a feature of enhanced functionality with a better layout in terms of improved product life with better recycling options, and lower consumption and exploitation of energy and natural resources. These sustainable practices would be advantageous for the firms regarding the possibility of setting prices above the standard level through establishing green brands and gaining market share of environmentally anxious consumers. For those companies that are striving to take the leading role in the green industry and longing to seek superior returns on the companies' environmental investments, these benefits, in particular, are exceptionally critical to them.Originality/valueThe linkage between firms' financial and environmental performance in the context of simultaneous inclusion of both green and traditional innovations remains unclear and is yet to be investigated by researchers. Thus, this research shed light on the role of environmental innovation and traditional innovation on firms' environmental performance and financial performance. The authors utilize a novel dataset with a clear indication of measuring different elements of innovation that allows us to develop a more robust approach to corporates' environmental, social and governance (ESG) performance metrics having the slightest biases related to transparency and firm size.
Journal Article
Reprogramming tumor-associated macrophages as a unique approach to target tumor immunotherapy
by
Khan, Muhammad Imran
,
Khan, Munir Ullah
,
Khan, Safir Ullah
in
Angiogenesis
,
anti-cancer treatment
,
Bone marrow
2023
In the last ten years, it has become increasingly clear that tumor-infiltrating myeloid cells drive not just carcinogenesis via cancer-related inflammatory processes, but also tumor development, invasion, and metastasis. Tumor-associated macrophages (TAMs) in particular are the most common kind of leucocyte in many malignancies and play a crucial role in establishing a favorable microenvironment for tumor cells. Tumor-associated macrophage (TAM) is vital as the primary immune cell subset in the tumor microenvironment (TME).In order to proliferate and spread to new locations, tumors need to be able to hide from the immune system by creating an immune-suppressive environment. Because of the existence of pro-tumoral TAMs, conventional therapies like chemotherapy and radiotherapy often fail to restrain cancer growth. These cells are also to blame for the failure of innovative immunotherapies premised on immune-checkpoint suppression. Understanding the series of metabolic changes and functional plasticity experienced by TAMs in the complex TME will help to use TAMs as a target for tumor immunotherapy and develop more effective tumor treatment strategies. This review summarizes the latest research on the TAMs functional status, metabolic changes and focuses on the targeted therapy in solid tumors.
Journal Article
Development of Sustainable Inhibitors for Corrosion Control
by
Irfan, Osama Mohamed
,
Asad, Muhammad
,
Djavanroodi, Faramarz
in
Capital costs
,
Corrosion
,
Corrosion inhibitors
2022
Metal degradation due to corrosion is a major challenge in most industries, and its control and prevention has to maintain a balance between efficiency and cost-effectiveness. The rising concern over environmental damage has greatly influenced this domain, as corrosion prevention should comply with the waste regulations of different regions. In this respect, a fundamental question is which modern synthetic materials are more viable from the point of view of their effectiveness. Therefore, this paper is aims to provide an advanced and holistic review of corrosion prevention and control methods. Corrosion prevention techniques have become extensive; however, the literature indicates that polymer coatings, nano-composite coatings, and encapsulation techniques consistently provide the most efficient and feasible outcomes. Therefore, this review article examined the phenomenon of corrosion inhibition mainly from the perspective of these three techniques. Moreover, this research utilized secondary qualitative methods to obtain data and information on comparative techniques. It is found that due to the rapid development of novel materials, corrosion inhibition techniques need to be developed on scales that are more general, so that they could be applied to varying environments. The self-healing coatings are generally based on epoxy-resins incorporated with synthetic compounds such as inhibitor ions, amino-acids, or carboxylic acids. These coatings have become more widespread, especially due to bans on several traditional prevention materials such as compounds of chromium (VI). However, self-healing coatings are comparatively more costly than other techniques because of their method of synthesis and long-term durability. Therefore, although self-healing nanomaterial-based coatings are viable options for limited usage, their utilization in large and complex facilities is limited due to the costs involved. Amino acids and other biological macro-molecules provide another option to attain environmental sustainability and long durability, especially due to their origins being most of naturally occurring compounds such as lignin, cellulose, and proteins.
Journal Article
Estimating genetic variability among diverse lentil collections through novel multivariate techniques
by
Ali, Muhammad Azhar
,
Ahmad, Tahira
,
Ilyas, Muhammad Kashif
in
Abiotic stress
,
Agricultural production
,
Biology and Life Sciences
2022
Lentil is an important food legume throughout the world and Pakistan stands at 18 th position with 8,610 tons production from 17,457 hectares. It is rich in protein, carbohydrates, fat, fiber, and minerals that can potentially meet food security and malnutrition issues, particularly in South Asia. Two hundred and twenty lentil genotypes representing Pakistan (178), Syria (14), and the USA (22) including 6 from unknown origins were studied for yield, yield contributing traits, and cooking time (CT). Genotype 6122 (Pakistan) performed the best during both years with seed yield per plant (SY) 68±1.7 g, biological yield per plant (BY) 264±2.8 g, pod size (PS) 0.61±0.01 cm, number of seeds per pod (NSP) 2, cooking time (CT) 11 minutes, with no hard seed (HS). The genotypes 6122 (Pakistan) and 6042 (Syria) produced the highest BY, hence these have the potential to be an efficient source of fodder, particularly during extreme winter months. The genotypes 5698 (Pakistan) and 6015 (USA) were late in maturity during 2018–19 while 24783 and 5561 matured early in 2019. A minimum CT of 10 minutes was taken by the genotypes 6074 and 5745 of Pakistani origin. The lowest CT saves energy, time, and resources, keeps flavor, texture, and improves protein digestibility, hence the genotypes with minimum CT are recommended for developing better lentil cultivars. Pearson correlation matrix revealed significant association among several traits, especially SY with BY, PS, and NSP which suggests their use for the future crop improvement program. The PCA revealed a considerable reduction in components for the selection of suitable genotypes with desired traits that could be utilized for future lentil breeding. Structural Equational Model (SEM) for SY based on covariance studies indicated the perfect relationship among variables. Further, hierarchical cluster analysis establishes four clusters for 2017–18, whereas seven clusters for 2018–19. Cluster 4 of 2017–18 and cluster 5 of 2018–19 exhibited the genotypes with the best performance for most of the traits (SY, BY, PS, NSP, CT, and HS). Based on heritability; HSW, SY, BY, NSP were highly heritable, hence these traits are expected for selecting genotypes with genes of interest and for future lentil cultivars. In conclusion, 10 genotypes (5664, 5687, 6084, 6062, 6122, 6058, 6087, 5689, 6042 and 6074) have been suggested to evaluate under multi-location environments for selection of the best one/s or could be utilized in hybridization in future lentil breeding programs.
Journal Article
DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing
by
Hatipoğlu, Rüştü
,
Doğan, Yıldız
,
Nawaz, Muhammad Amjad
in
biotechnology
,
Crop improvement
,
Deoxyribonucleic acid
2018
With the development of molecular marker technology in the 1980s, the fate of plant breeding has changed. Different types of molecular markers have been developed and advancement in sequencing technologies has geared crop improvement. To explore the knowledge about molecular markers, several reviews have been published in the last three decades; however, all these reviews were meant for researchers with advanced knowledge of molecular genetics. This review is intended to be a synopsis of recent developments in molecular markers and their applications in plant breeding and is devoted to early researchers with a little or no knowledge of molecular markers. The progress made in molecular plant breeding, genetics, genomic selection and genome editing has contributed to a more comprehensive understanding of molecular markers and provided deeper insights into the diversity available for crops and greatly complemented breeding stratagems. Genotyping-by-sequencing and association mapping based on next-generation sequencing technologies have facilitated the identification of novel genetic markers for complex and unstructured populations. Altogether, the history, the types of markers, their application in plant sciences and breeding, and some recent advancements in genomic selection and genome editing are discussed.
Journal Article
Numerical optimization and performance evaluation of ZnPC:PC70BM based dye-sensitized solar cell
by
Nowsherwan, Ghazi Aman
,
Sadiq, Muhammad Irfan
,
Choi, Jeong Ryeol
in
639/301
,
639/4077
,
639/766
2023
The increase in global energy consumption and the related ecological problems have generated a constant demand for alternative energy sources superior to traditional ones. This is why unlimited photon-energy harnessing is important. A notable focus to address this concern is on advancing and producing cost-effective low-loss solar cells. For efficient light energy capture and conversion, we fabricated a ZnPC:PC70BM-based dye-sensitized solar cell (DSSC) and estimated its performance using a solar cell capacitance simulator (SCAPS-1D). We evaluated the output parameters of the ZnPC:PC70BM-based DSSC with different photoactive layer thicknesses, series and shunt resistances, and back-metal work function. Our analyses show that moderate thickness, minimum series resistance, high shunt resistance, and high metal-work function are favorable for better device performance due to low recombination losses, electrical losses, and better transport of charge carriers. In addition, in-depth research for clarifying the impact of factors, such as thickness variation, defect density, and doping density of charge transport layers, has been conducted. The best efficiency value found was 10.30% after tweaking the parameters. It also provides a realistic strategy for efficiently utilizing DSSC cells by altering features that are highly dependent on DSSC performance and output.
Journal Article