Publications by authors named "Iqbal Nadeem"

In the contemporary landscape of smart cities, ensuring the security and confidentiality of transmitted data has become paramount. The proliferation of Internet of Things (IoT) devices, mobile communication platforms, and wireless sensor networks has magnified the need for robust cryptographic solutions to safeguard sensitive information from malicious adversaries. In response to these challenges, we introduce ChessCrypt-a novel approach to enhancing wireless communication security through the development of a new S-Box algorithm inspired by the nonlinear movement patterns of chess pieces.

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Background And Objective: Percutaneous Nephrolithotomy (PCNL) is recommended for large Kidney Stones. It is mostly done in prone position. However, PCNL in Supine position is another safe option.

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This study investigates the sensitivity of stock returns to changes in oil prices and tax returns in net-oil exporting economies, focusing on the Gulf Cooperation Council (GCC) countries from March 30, 2003 to March 30, 2022. The problem statement addresses the challenge of understanding the interplay between oil price fluctuations, tax policies, and stock market dynamics in these economies, which are heavily reliant on oil revenues. The aim of the study is to provide insights into how variations in oil prices and tax returns impact the cross-section of stock returns in the GCC region.

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This study presents an analysis and evaluation of gait asymmetry (GA) based on the temporal gait parameters identified using a portable gait event detection system, placed on the lateral side of the shank of both lower extremities of the participants. Assessment of GA was carried out with seven control subjects (CS), one transfemoral amputee (TFA) and one transtibial amputee (TTA) while walking at different speeds on overground (OG) and treadmill (TM). Gait cycle duration (GCD), stance phase duration (SPD), swing phase duration (SwPD), and the sub-phases of the gait cycle (GC) such as Loading-Response (LR), Foot-Flat (FF), and Push-Off (PO), Swing-1 (SW-1) and Swing-2 (SW-2) were evaluated.

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Probability distributions are widely utilized in applied sciences, especially in the field of biomedical science. Biomedical data typically exhibit positive skewness, necessitating the use of flexible, skewed distributions to effectively model such phenomena. In this study, we introduce a novel approach to characterize new lifetime distributions, known as the New Flexible Exponent Power (NFEP) Family of distributions.

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Plants can experience a variety of environmental stresses that significantly impact their fitness and survival. Additionally, biotic stress can harm agriculture, leading to reduced crop yields and economic losses worldwide. As a result, plants have developed defense strategies to combat potential invaders.

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In the last two decades or so, a large number of image ciphers have been written. The majority of these ciphers encrypt only one image at a time. Few image ciphers were written which could encrypt multiple images in one session.

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A hip joint fracture includes a break in the thigh (femur) or coxa bone near the pelvis. During fracture healing, stability and weight bearing by the affected limb are key indicators to measure patients' improvement. Conventionally, the rehabilitation effectiveness is monitored through clinical examinations, patients' feedback, and few studies also reported instrumented gait evaluations.

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Polypropylene hybrid polymeric membranes with aramid support have been fabricated using Thermally Induced Phase Separation (TIPS). Different modifying materials, such as metallic nanoparticles and reduced graphene oxide (rGO), improve the properties of these membranes. The nanomaterials and the fabricated membranes have been characterized with FTIR spectrometer, SEM and UV-Vis Spectrophotometer.

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Article Synopsis
  • - RNA modifications are crucial for developing new RNA structures and play significant roles in gene regulation and epigenetics, with 5-hydroxymethylcytosine (5HMC) being particularly important, but traditional detection methods are difficult and expensive.
  • - The proposed Deep5HMC model utilizes machine learning algorithms and various feature extraction techniques to enhance the accuracy of 5HMC identification, integrating methods like Random Forest and Support Vector Machine.
  • - The model demonstrated an impressive 84.07% accuracy, outperforming previous methods, suggesting its potential for aiding in the early diagnosis of cancers and cardiovascular diseases and advancing RNA modification research.
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Plant hormones such as ethylene (ET) and salicylic acid (SA) have an elementary role in the regulation of ER stress and unfolded protein response (UPR) in plants via modulating defence responses or inducing oxidative stress. Chloroplasts can be sources and targets of reactive oxygen species (ROS) that affect photosynthetic efficiency, which has not been investigated under tunicamycin (Tm)-induced ER stress. In this study, the direct and indirect effects of Tm on chloroplastic ROS production were first investigated in leaves of wild-type tomato (Solanum lycopersicum L.

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Objective: Laparoscopic nephrectomy has been adopted by many centers in the last few decades. However, there are a few inherent challenges while adopting laparoscopic nephrectomy in a new unit. These include a significant learning curve required to adopt this modality.

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Fusaric acid (FA) is one of the most harmful phytotoxins produced in various plant-pathogen interactions. Fusarium species produce FA as a secondary metabolite, which can infect many agronomic crops at all stages of development from seed to fruit, and FA production can further compromise plant survival because of its phytotoxic effects. FA exposure in plant species adversely affects plant growth, development and crop yield.

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Sumoylation is a post-translation modification (PTM) mechanism that involves many critical biological processes, such as gene expression, localizing and stabilizing proteins, and replicating the genome. Moreover, sumoylation sites are associated with different diseases, including Parkinson's and Alzheimer's. Due to its vital role in the biological process, identifying sumoylation sites in proteins is significant for monitoring protein functions and discovering multiple diseases.

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Drought stress is one of the most serious threats to sustainable agriculture and is predicted to be further intensified in the coming decades. Therefore, understanding the mechanism of drought stress tolerance and the development of drought-resilient crops are the major goals at present. In recent years, noncoding microRNAs (miRNAs) have emerged as key regulators of gene expressions under drought stress conditions and are turning out to be the potential candidates that can be targeted to develop drought-resilient crops in the future.

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A highly sensitive low-cost strain sensor was fabricated in this research study based on microdispensing direct write (MDDW) technique. MDDW is an additive manufacturing approach that involves direct deposition of functional material to the substrate. The devices were printed directly onto a polymeric substrate by optimizing the fabrication parameters.

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Teratomas are usually seen in gonads but they do occur in other extra gonadal regions such as sacrococcygeal region, mediastinum, head and neck, and retroperitoneum. Rarely in the retroperitoneal area, such tumours mostly develop in the pararenal area and usually on the left side. They have bimodal presentation at the age of six months and then in early adulthood.

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The mycotoxin fusaric acid (FA) induces rapid oxidative burst leading to cell death in plants. At the same time, plant defence reactions are mediated by several phytohormones for instance ethylene (ET). However, previously conducted studies leave research gaps on how ET plays a regulatory role under mycotoxin exposure.

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Penile fracture is an uncommon acute surgical emergency, typically occurring after sexual intercourse, self-manipulation and at times, may be accidental. We report here a 39-year male who attended the department of emergency with swelling and bruising of the scrotum and penis. Physical examination exhibited a diffuse abdominal and perineal ecchymosis.

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Background And Objectives: Urolithiasis is prevalent globally. Over time, innovation in endoscopic instruments and miniaturization has untangled the interventional strategy for carrying out remedial surgical procedures for renal stones. However, studies have been scarce as for sequelae of Percutaneous Nephrolithotomy (PCNL) in varying body mass index group patients in the developing world.

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In the past, large earthquakes caused the collapse of infrastructure and killed thousands of people in Pakistan, a seismically active region. Therefore, the seismic assessment of infrastructure is a dire need that can be done using the fragility analysis. This study focuses on the fragility analysis of school buildings in Muzaffarabad district, seismic zone-4 of Pakistan.

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Hundreds of image encryption schemes have been conducted (as the literature review indicates). The majority of these schemes use pixels as building blocks for confusion and diffusion operations. Pixel-level operations are time-consuming and, thus, not suitable for many critical applications (e.

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The empirical research investigated the relationship between tourism development and environmental suitability to propose a framework for sustainable ecotourism. The framework suggested a balance between business and environmental interests in maintaining an ecological system with the moderating help of government support and policy interventions. The study population encompasses tourism stakeholders, including tourists, representatives from local communities, members of civil administration, hoteliers, and tour operators serving the areas.

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In this article, a new hybrid time series model is proposed to predict COVID-19 daily confirmed cases and deaths. Due to the variations and complexity in the data, it is very difficult to predict its future trajectory using linear time series or mathematical models. In this research article, a novel hybrid ensemble empirical mode decomposition and error trend seasonal (EEMD-ETS) model has been developed to forecast the COVID-19 pandemic.

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