Analysis of hybrid integer wavelet transform and singular value decomposition for image steganography under various noise conditions.

This paper presents a new hybrid method for concealing images within a cover image using Integer Wavelet Transform and Singular Value Decomposition to enhance the imperceptibility and robustness of hidden images within a cover image. A custom graphical user interface has been developed to aid in evaluating performance metrics, allowing users to assess how various noise conditions affect stego images interactively. The technique shows minimal distortion with a Mean Squared Error of 9.

Investigations of Materials and Technologies Behind Environmental Pollution Monitoring Sensors for Global Health.

Environmental pollution is a major concern, particularly in modern cities, due to its significant effects on human health and the global economy. These pollutants must be continuously monitored to prevent negative impacts on the environment. The scientific community has done in-depth studies on optimal environmental sensors from theory to practice in recent years.

Near-Field Microwave Resonating Sensor for Chronic Bone Assessment through Novel Electromagnetic Band Gap Structures.

Recent advancements in near-field flexible microwave sensor technology have significantly enhanced their capabilities in wearables for noninvasive sensing. This paper aims to evaluate chronic wounds, specifically bone cracks, and their healing processes utilizing near-field microwave sensors for various designs and substrates, as the near-field effect is challenging in assessing chronic bone cracks. The proposed polyamide- and polydimethylsiloxane-based microwave sensor displays novelty in terms of resonating and electromagnetic band gap structures in the FR1 band.

Electrochemical Sensors for Heavy Metal Ion Detection in Aqueous Medium: A Systematic Review.

Heavy metal ions (HMIs) are very harmful to the ecosystem when they are present in excess of the recommended limits. They are carcinogenic in nature and can cause serious health issues. So, it is important to detect the metal ions quickly and accurately.

Designing optimal prototype filters for maximally decimated Cosine Modulated filter banks with rapid convergence.

An analytic design of a prototype filter for M-channel maximally decimated cosine-modulated Near Perfect Reconstruction (NPR) filter banks is proposed in this work. The prototype filter is created using the least-square (CLS) method with weighted constraints, which is one-dimensional and requires single-parameter optimization. Compared to existing approaches, this suggested method achieves rapid convergence by analytically determining the optimal step size, ensuring the 3 dB cutoff frequency at π/2 M.

Reconfigurable Metasurface: Enabling Tunable Reflection in 6G Wireless Communications.

With the continuous advancement of technology, there is an increasing need for innovative solutions that can handle complex applications such as haptic communications, Internet of Things for smart cities, automation, and manufacturing. One technology that has received much attention is the phase reconfigurable metasurface for reconfigurable intelligent surfaces (RISs). The RIS demands low-power consumption, simple configuration, angular stability, and polarization insensitivity.

Underwater Wireless Sensor Networks with RSSI-Based Advanced Efficiency-Driven Localization and Unprecedented Accuracy.

Deep-sea object localization by underwater acoustic sensor networks is a current research topic in the field of underwater communication and navigation. To find a deep-sea object using underwater wireless sensor networks (UWSNs), the sensors must first detect the signals sent by the object. The sensor readings are then used to approximate the object's position.

Underwater Wireless Sensor Networks Performance Comparison Utilizing Telnet and Superframe.

Underwater Wireless Sensor Networks (UWSNs) have recently established themselves as an extremely interesting area of research thanks to the mysterious qualities of the ocean. The UWSN consists of sensor nodes and vehicles working to collect data and complete tasks. The battery capacity of sensor nodes is quite limited, which means that the UWSN network needs to be as efficient as it can possibly be.

Targeted nanoparticles for imaging incipient pancreatic ductal adenocarcinoma.

Background: Pancreatic ductal adenocarcinoma (PDAC) carries an extremely poor prognosis, typically presenting with metastasis at the time of diagnosis and exhibiting profound resistance to existing therapies. The development of molecular markers and imaging probes for incipient PDAC would enable earlier detection and guide the development of interventive therapies. Here we sought to identify novel molecular markers and to test their potential as targeted imaging agents.

Detection of early prostate cancer using a hepsin-targeted imaging agent.

Early detection and diagnosis of prostate cancer is key to designing effective treatment strategies. Microarrays have resulted in the discovery of hepsin (HPN) as a biomarker for detection of prostate cancer. In this study, we explore the development of HPN imaging probes for detection of prostate cancer.