Fusion of Visible and Infrared Aerial Images from Uncalibrated Sensors Using Wavelet Decomposition and Deep Learning.

Multi-modal systems extract information about the environment using specialized sensors that are optimized based on the wavelength of the phenomenology and material interactions. To maximize the entropy, complementary systems operating in regions of non-overlapping wavelengths are optimal. VIS-IR (Visible-Infrared) systems have been at the forefront of multi-modal fusion research and are used extensively to represent information in all-day all-weather applications.

EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery.

In this paper, we present , the first successful application of neuromorphic for Wide-Area Motion Imagery (WAMI) and Remote Sensing (RS), showcasing their potential for advancing Structure-from-Motion (SfM) and 3D reconstruction across diverse imaging scenarios. ECs, which detect asynchronous pixel-level , offer key advantages over traditional frame-based sensors such as high temporal resolution, low power consumption, and resilience to dynamic lighting. These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance.

Bioactive nanofibrous mats constructs: Separate efficacy of Lawsonia inermis and Scrophularia striata extracts in PVA/alginate matrices for enhanced wound healing.

The study explores the use of electrospinning technology to create advanced wound dressing materials by integrating natural extracts from Lawsonia inermis (LI) and Scrophularia striata (SS) into nanofibrous matrices composed of Polyvinyl Alcohol (PVA) and Alginate (ALG). These macromolecular complexes aim to leverage the unique properties of the botanical extracts for wound healing purposes. The research assesses the physical, chemical, and mechanical attributes of the nanofibrous constructs as well as their antimicrobial activities and ability to promote wound repair.

Poly(vinyl alcohol) /Alginate nanofibrous mats containing Malva Sylvestris extract: Synthesis, characterization, in vitro and in vivo assessments for burn wound applications.

An important part of wound healing is providing effective wound care, coupled with preventing wound infection, which slows or disrupts healing. There are currently many herbal plants that have historical supernatural properties that show remarkable wound healing abilities. These herbal extracts have shown promising results when applied to electrospun nanofibrous mats platforms for wound healing.

MOSAICING OF DYNAMIC MESENTERY VIDEO WITH GRADIENT BLENDING.

In biomedical imaging using video microscopy, understanding large tissue structures at cellular and finer resolution poses many image acquisition challenges including limited field-of-view and tissue dynamics during imaging. Automated mosaicing or stitching of live tissue video microscopy enables the visualization and analysis of subtle morphological structures and large scale vessel network architecture in tissues like the mesentery. But mosacing can be challenging if there are deformable, motion-blurred, textureless, feature-poor frames.

Immunity to Hepatitis-A virus: A nationwide population-based seroprevalence study from Iran.

Background: The mortality rate of acute Hepatitis A increases from 0.1% in the children to 1.2%, in the adults.

Forecasting zoonotic cutaneous leishmaniasis using meteorological factors in eastern Fars province, Iran: a SARIMA analysis.

Objectives: To predict the occurrence of zoonotic cutaneous leishmaniasis (ZCL) and evaluate the effect of climatic variables on disease incidence in the east of Fars province, Iran using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model.

Methods: The Box-Jenkins approach was applied to fit the SARIMA model for ZCL incidence from 2004 to 2015. Then the model was used to predict the number of ZCL cases for the year 2016.

Nested polymerase chain reaction and sequence- based detection of leishmania infection of sand flies in recently emerged endemic focus of zoonotic cutaneous leishmaniasis, southern iran.

Background: Geographical distribution of zoonotic cutaneous leishmaniasis (ZCL) has continuously been extended in recent years in Iran. The Beiza District is one of the newly-emerged endemic foci of ZCL in southern Iran. The main aim of the present study was to detect the vector(s) of ZCL in this area.

Spatial analysis of eco-environmental risk factors of cutaneous leishmaniasis in Southern Iran.

Background: Despite the advances in the diagnosis and treatment of leishmaniasis, it is still considered as a severe public health problem particularly in developing countries and a great economic burden on the health resources. The present study was designed and conducted to determine the eco-environmental characteristics of the leishmaniasis disease by spatial analysis.

Materials And Methods: In an ecological study, data were collected on eco-environmental factors of Fars province in Iran and on cutaneous leishmaniasis (CL) cases from 2002 to 2009.