International Conference on Sensing Technology

Scientists Identify Protein That Heightens Neurodegenerative Disease Credit: UT Southwestern A fluorescent image displays reactive gliosis – a condition found in many neurodegenerative diseases – in the cerebral cortex induced by astrocyte-expressed GADD45G, the protein product of the Gadd45g gene. Reactive astrocytes are shown in red and reactive microglia are green, both common glial cell types.PreviousNext Newswise — DALLAS – May 29, 2025 – UT Southwestern Medical Center scientists have identified a protein that appears to act as a master control switch for reactive gliosis, a prominent feature of many neurodegenerative diseases that is thought to contribute to their pathology. The researchers’ findings, published in Neuron, could eventually lead to new treatments for Alzheimer’s, Parkinson’s, and Huntington’s diseases and other neurodegenerative conditions. “Reactive gliosis can help the nervous system adapt to stressful conditions to continue healthy functioning, but it can also b...

  🔹 Basic Description Carbon dioxide (CO₂) is a colorless, odorless gas naturally present in Earth's atmosphere. It is composed of one carbon atom and two oxygen atoms . It is a trace gas , making up about 0.04% (419 ppm as of 2024) of the atmosphere. 🔹 Sources of Atmospheric CO₂ Natural Sources : Volcanic eruptions Respiration by plants and animals Ocean-atmosphere exchange Decomposition of organic matter Anthropogenic (Human-Induced) Sources : Burning of fossil fuels (coal, oil, natural gas) Deforestation and land-use change Industrial processes (e.g., cement production) 🔹 Role in Climate Change CO₂ is a greenhouse gas : it traps heat in the atmosphere, contributing to global warming . The increase in CO₂ levels since the Industrial Revolution is a major driver of climate change . Pre-industrial CO₂ levels were around 280 ppm , now exceed 419 ppm (as of 2024). 🔹 Carbon Cycle Involvement CO₂ plays a vital role i...

Using Deep Learning for Brain Imaging Data Analysis ​​​​​​​Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of the data. All deep learning models are built on fundamental computational units that take in inputs, process them, and produce outputs—either forwarding them to the next layer or using them as the final result.1 Recent advancements in the technological capabilities of central processing units (CPUs), graphics processing units (GPUs), and learning algorithms, combined with the availability of big data, have allowed DL to become one of the most powerful AI technologies. As a result, DL has been incorporated into various applications, some of which include computer vision, natural language processing, and speech improvement. DL has also been widely used to support the analysis of medical images, which can include the classification,...

Natural algal communities can inhibit aquaculture pathogens Inhibition of Vibrio anguillarum NB10_gfp by co-cultures of bacterial species isolated from the enriched inhibitory Isochrysis galbana cultures, in an agar-based pathogen embedding assay. C7, Roseovarius sp.; D2, Vreelandella alkaliphila; D3, Sulfitobacter pontiacus; E2, Alteromonas macleodii; H2, Phaeobacter piscinae. Credit: Microbiology Spectrum (2025). DOI: 10.1128/spectrum.00421-25, https://journals.asm.org/doi/10.1128/spectrum.00421-25 A new study by Danish researchers has demonstrated that it is possible to develop a consortium of bacteria that can inhibit bacterial pathogens in aquaculture. This could potentially reduce the use of antibiotics in aquaculture and possibly other applications. The study was published in Microbiology Spectrum. In the new study, researchers set out to find and develop non-antibiotic biological disease control and prevention options for aquaculture. Aquaculture is the fastest growing food-pr...

  Electrochemical Energy: Electrochemical Energy refers to the energy stored in or produced by chemical reactions involving the movement of electrons. It is a type of energy conversion where chemical energy is transformed into electrical energy , or vice versa, through redox (reduction-oxidation) reactions . Key Concepts: Electrochemical Cell : A device that generates electricity through chemical reactions. Galvanic (Voltaic) Cells : Convert chemical energy into electrical energy. Example: Batteries. Electrolytic Cells : Use electrical energy to drive chemical reactions. Example: Electroplating. Redox Reaction : Oxidation : Loss of electrons. Reduction : Gain of electrons. These reactions occur at electrodes in electrochemical cells. Components of an Electrochemical Cell : Anode : Electrode where oxidation occurs. Cathode : Electrode where reduction occurs. Electrolyte : Ionic medium that allows the flow of charge. Salt Bridge : Maintains e...

  Sound waves in air deflect intense laser pulses Sound idea: laser light passes between a ultrasound transducer-reflector array that creates a Bragg grating of air. The laser beam interacts with this grating and is deflected without travelling through a solid medium. (Courtesy: Science Communication Lab for DESY) Ultrasound waves in air have been used to manipulate powerful laser beams – in a first claimed by researchers in Germany. The team’s acousto-optic Bragg grating could lead to new and useful ways to manipulate light. From gravitational wave detection to semiconductor fabrication, much of modern science and technology relies on the precise control of laser light. “Optical elements like gratings, lenses or modulators have always formed the basic ingredients behind optical devices including lasers, microscopes and atomic clocks, which have enabled many breakthroughs in various scientific fields,” explains Christoph Heyl at DESY, who led the research. However, demands for hig...

  Traffic Noise Evaluation   Traffic noise evaluation involves the measurement, analysis, and assessment of noise generated by vehicles on roadways, especially in urban and suburban environments. This process is essential for understanding the impact of noise pollution on public health, environmental quality, and overall urban livability. By using advanced sound level meters, modeling software, and geographic data, professionals assess how noise levels vary with traffic volume, vehicle types, road conditions, and time of day. These evaluations help in formulating mitigation strategies such as sound barriers, low-noise pavements, urban green buffers, and traffic flow optimization. The goal of traffic noise evaluation is not only to comply with legal noise limits but also to create quieter, healthier, and more sustainable cities. Web Site :  sensors.sciencefather.com Visit Web Site :  sciencefather.com Nomination Link :  https://sensors-conferences.science...

  📢 General Awareness (for social media or campaigns) "Ovarian cancer is one of the most silent yet deadly threats to women's health. But early detection and advanced treatments are saving lives every day. Learn about the latest in ovarian cancer care and share hope." "Hope starts with awareness. Discover how breakthroughs in chemotherapy, targeted therapy, and immunotherapy are transforming ovarian cancer treatment today." "Every woman deserves access to early diagnosis, personalized care, and support in the fight against ovarian cancer. Let’s raise awareness and push for progress." 🧬 Scientific/Clinical Focus (for research or healthcare platforms) "Ovarian cancer treatment is evolving rapidly with the rise of targeted therapies, PARP inhibitors, and immunotherapy. Explore current standards and emerging strategies to improve survival outcomes." "From cytoreductive surgery to combination therapies, multidisciplinary a...

Using machine learning to speed up discovery for drug delivery and disease treatment New computational tools are speeding up scientists' ability to determine the structure of complex RNA molecules A new computational tool developed with support from the U.S. National Science Foundation could greatly speed up determining the 3D structure of RNAs, a critical step in developing new RNA-based drugs, identifying drug-binding sites and using RNAs in other biotechnology and biomedicine applications. The tool, NuFold, leverages state-of-the-art machine learning techniques to predict the structure of a wide variety of RNA molecules from their sequences. This new capability will allow researchers to visualize what a given RNA structure could look like based on its sequence and identify its potential use in drug delivery, disease treatment and other applications. The research leading to NuFold was published in Nature Communication. RNAs are critical biological molecules — encoding informatio...

ADAS Adds Complexity To Automotive Sensor Fusion Advancements in combining sensors enabling intelligent, distributed processing and standardized communication of object data. Sensor fusion is becoming increasingly popular and more complex in automotive designs, integrating multiple types of sensors into a single chip or package and intelligently routing data to wherever it is needed. The primary goal is to bring together information from cameras, radar, lidar, and other sensors in order to provide a detailed view of what’s happening inside and outside of a vehicle. In the newest designs, sensor fusion often occurs in zonal controllers or central compute modules. These devices act as intermediaries, collecting data from different sensors and transmitting it to a central processing unit. The exact location of sensor fusion, as well as which sensors are combined, can vary depending on the vehicle’s architecture and the manufacturer’s approach. There are two main options for fusing togethe...

What Is Computer Vision? Computer vision is a field of artificial intelligence that trains computers to see, interpret and understand the world around them through machine learning techniques. Here’s how it works, why it matters, how it’s used and some challenges to keep in mind. Computer vision is a field of artificial intelligence (AI) that applies machine learning to images and videos to understand media and make decisions about them. With computer vision, we can, in a sense, give vision to software and technology. What Is Computer Vision? Computer vision refers to the ability of machines to identify patterns within visual data and glean meaningful insights. Depending on the context, machines can use cameras, sensors, smartphones and other devices to compile data for training and analysis. They can then perform tasks like reading written text, recognizing specific faces in images and locating particular objects in a video feed. The ultimate goal of computer vision is to enable mach...