Ayesha Siddique

Effect of Natural and Artificial Diets on the Biological Performance of Spodoptera frugiperda (Lepidoptera: Noctuidae)

Muhammad Ahmad Alizai, Muhammad Shavaiz Baloch, Rahat Ullah Khan, Muhammad Naeem et autres

Spodoptera frugiperda (J.E. Smith) is a destructive pest threatening maize production and global food security. Diet quality plays a crucial role in its growth and survival, which is essential for laboratory rearing and pest management research. This study evaluated the effects of …

pk, gb (code pays fourni par la source)

Double trouble: The synergistic threat of environmental stressors and pesticide mixtures

Naeem Shahid, Ayesha Siddique, Martin Krauß, Alexander Böhme et autres

Halting biodiversity loss demands a clear understanding of how multiple stressors interact across levels of biological organization. Here, we investigate these interactions at the individual level using Daphnia magna as a model species. We exposed D. magna to a single pesticide (esfenvalerate) …

de (code pays fourni par la source)

Manure-enriched Acidic Phosphate Fertilizer Improves Paddy Yield Over the Conventional Phosphate Fertilizers on a Calcisol

Ayesha Siddique, Akhtar Muhammad, Muhammad Saleem, Tahir Hussain Awan et autres

pk (code pays fourni par la source)

Diagnostic Accuracy of Non-Contrast CT Scanning in Fungal Sinusitis, Taking Fungal Culture as Gold Standard

Ayesha Siddique, Nazahat Pasha

Fungal sinusitis represents a significant diagnostic and therapeutic challenge, especially in immunocompromised patients. Timely and accurate Diagnosis is essential to reduce morbidity and mortality. While fungal culture remains the Gold standard, it is invasive and time-consuming. Non-contrast computed tomography (CT) provides a …

pk (code pays fourni par la source)

ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing

Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque

Explainable artificial intelligence (XAI) enhances AI system transparency by framing interpretability as an optimization problem. However, this approach often necessitates numerous iterations of computationally intensive operations, limiting its applicability in real-time scenarios. While recent research has focused on XAI hardware acceleration on …

us (code pays fourni par la source)

ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing

Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque

Explainable artificial intelligence (XAI) enhances AI system transparency by framing interpretability as an optimization problem. However, this approach often necessitates numerous iterations of computationally intensive operations, limiting its applicability in real-time scenarios. While recent research has focused on XAI hardware acceleration on …

Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays

Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque

Approximate deep neural networks (AxDNNs) are promising for enhancing energy efficiency in real-world devices. One of the key contributors behind this enhanced energy efficiency in AxDNN is the use of approximate multipliers. Unfortunately, the simulation of approximate multipliers does not usually scale …

us (code pays fourni par la source)

Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays

Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque

Approximate deep neural networks (AxDNNs) are promising for enhancing energy efficiency in real-world devices. One of the key contributors behind this enhanced energy efficiency in AxDNNs is the use of approximate multipliers. Unfortunately, the simulation of approximate multipliers does not usually scale …

Liposomes as Nano Carriers in Cancer Therapy: A Comprehensive Review

Ayesha Siddique, Edigi Shashidhar goud Edigi Shashidhar goud, Gaddam Satvik Gaddam Satvik, Gangula Mahima et autres

Liposomes are artificial vesicles composed of a phospholipid bilayer that can encapsulate both hydrophilic and lipophilic drugs, protecting them from degradation. Since their discovery in the mid1960s, liposomes have revolutionized research and studies. Their biocompatibility and flexibility enable targeted drug delivery at …

in (code pays fourni par la source)

Aberrant expression of collagen type X in solid tumor stroma is associated with EMT, immunosuppressive and pro-metastatic pathways, bone marrow stromal cell signatures, and poor survival prognosis

Elliot H. H. Youth, Dongfang Yang, Ayesha Siddique, Elizabeth Y. Wu et autres

BACKGROUND: breast cancer. However, the underlying molecular mechanisms for these effects are unknown. In this study, we performed bioinformatic analysis of COL10A1-associated gene modules in breast and pancreatic cancer as well as in cells from bone marrow and OA cartilage. These findings …

us, cn (code pays fourni par la source)

Aberrant expression of collagen type X in solid tumor stroma is associated with EMT, immunosuppressive and pro-metastatic pathways, bone marrow stromal cell signatures, and poor survival prognosis

Elliot H. H. Youth, Dongfang Yang, Ayesha Siddique, Elizabeth Y. Wu et autres

ABSTRACT Background Collagen type X (ColXα1, encoded by COL10A1 ) is expressed specifically in the cartilage-to-bone transition, in bone marrow cells, and in osteoarthritic (OA) cartilage. We have previously shown that ColXα1 is expressed in breast tumor stroma, correlates with tumor-infiltrating lymphocytes, …

us (code pays fourni par la source)

Synergistic interaction between a toxicant and food stress is further exacerbated by temperature

Naeem Shahid, Ayesha Siddique, Matthias Liess

(0.096-0.00074 μg/L). The stress addition model (SAM) predicted increasing synergistic interactions among stressors with increasing total stress.

de (code pays fourni par la source)