ALARM
View article: Data and Software for manuscript titled: Bacteria Sense the Antibiotic Rifampicin Through a Widespread Dual-Promoter Based Alarm System
Data and Software for manuscript titled: Bacteria Sense the Antibiotic Rifampicin Through a Widespread Dual-Promoter Based Alarm System Open
Data and Software for manuscript titled: Bacteria Sense the Antibiotic Rifampicin Through a Widespread Dual-Promoter Based Alarm System For more details please see the README file.
View article: AI- Powered Disease Diagnosis
AI- Powered Disease Diagnosis Open
The "Data-Driven Healthcare Solutions" unified digital platform designed to address major issues in the healthcare industry, including delayed emergency response, trouble scheduling timely doctor's appointments, and slow and inaccurate sym…
View article: Danger! Stay Alert: The Role of Skein Cells in the Evolution of the Sea Lamprey (Petromyzon marinus, Linnaeus 1758)
Danger! Stay Alert: The Role of Skein Cells in the Evolution of the Sea Lamprey (Petromyzon marinus, Linnaeus 1758) Open
When it comes to predation, alarm signals enable individuals to assess risks and modulate their behavior accordingly. These signals, often chemical in aquatic environments, can be recognized across species boundaries and are typically rele…
View article: Assessment of Lightning Activity and Early Warning Capability Using Near-Real-Time Monitoring Data in Hanoi, Vietnam
Assessment of Lightning Activity and Early Warning Capability Using Near-Real-Time Monitoring Data in Hanoi, Vietnam Open
This study investigates lightning activity and evaluates a near-real-time lightning warning system for the inner Hanoi area, using data collected during 2020–2024 from the Strike Guard (SG) and EFM-100C instruments located in Chuong My, Ha…
View article: Development of Machine Monitoring System using IOT
Development of Machine Monitoring System using IOT Open
In modern industrial environments, real-time monitoring of machinery is essential to ensure safety, prevent breakdowns, and maintain optimal performance. This project proposes an Io T-based Machine Monitoring System integrating various sen…
View article: Training Introspective Behavior: Fine-Tuning Induces Reliable Internal State Detection in a 7B Model
Training Introspective Behavior: Fine-Tuning Induces Reliable Internal State Detection in a 7B Model Open
Lindsey (2025) investigates introspective awareness in language models through four experiments, finding that models can sometimes detect and identify injected activation patterns -- but unreliably (~20% success in the best model). We focu…
View article: Comparing Multi-Scale and Pipeline Models for Speaker Changes
Comparing Multi-Scale and Pipeline Models for Speaker Changes Open
Speaker change detection (SCD) in long, multi-party meetings is essential for diarization, ASR, and summarization, and is now often performed in the space of pre-trained speech embeddings. However, unsupervised back-ends remain dominant wh…
View article: Hierarchical Spatio-Temporal Attention Network with Adaptive Risk-Aware Decision for Forward Collision Warning in Complex Scenarios
Hierarchical Spatio-Temporal Attention Network with Adaptive Risk-Aware Decision for Forward Collision Warning in Complex Scenarios Open
Forward Collision Warning systems are crucial for vehicle safety and autonomous driving, yet current methods often fail to balance precise multi-agent interaction modeling with real-time decision adaptability, evidenced by the high computa…
View article: Lead Times in the Early Management of Traumatic Brain Injury: Relation to Geographic Conditions and Clinical Outcomes in a Nationwide Swedish Registry Study
Lead Times in the Early Management of Traumatic Brain Injury: Relation to Geographic Conditions and Clinical Outcomes in a Nationwide Swedish Registry Study Open
Background Traumatic brain injury (TBI) patients are at risk of sudden deterioration, requiring timely diagnostics and treatment to prevent secondary cerebral injuries. This study investigated lead times in prehospital and early intrahospi…
View article: User-Centered Redesign of Monitoring Alarms: A Pre–Post Study on Perception, Functionality, and Recognizability Following Real-Life Clinical Implementation
User-Centered Redesign of Monitoring Alarms: A Pre–Post Study on Perception, Functionality, and Recognizability Following Real-Life Clinical Implementation Open
Background: Auditory alarms in patient monitoring are vital for clinical safety, but their harsh acoustic properties and high frequency contribute to stress, alarm fatigue, and reduced acceptance among healthcare staff. In collaboration wi…
View article: Smart Pendant for Women's Safety Using IoT
Smart Pendant for Women's Safety Using IoT Open
The Women Safety Pendant is an IoT-enabled wearable device designed to enhance personal safety by integrating real-time monitoring, emergency alert mechanisms, and precise location tracking. This paper presents the design, methodology, and…
View article: A Pattern-Guided CIM Vulnerability Diagnosis Framework for Multi-Sensor Thermal Management System in Energy Storage Stations
A Pattern-Guided CIM Vulnerability Diagnosis Framework for Multi-Sensor Thermal Management System in Energy Storage Stations Open
The safe and reliable operation of energy storage stations critically depends on their thermal management systems, specifically the health states or working conditions of involved sensors, such as temperature, humidity, and pressure sensor…
View article: Smart Pendant for Women's Safety Using IoT
Smart Pendant for Women's Safety Using IoT Open
The Women Safety Pendant is an IoT-enabled wearable device designed to enhance personal safety by integrating real-time monitoring, emergency alert mechanisms, and precise location tracking. This paper presents the design, methodology, and…
View article: A heads-up on danger: a novel avian vigilance call changes subsequent responses to alarm calls
A heads-up on danger: a novel avian vigilance call changes subsequent responses to alarm calls Open
View article: Predictive maintenance programs for aircraft engines based on remaining useful life prediction
Predictive maintenance programs for aircraft engines based on remaining useful life prediction Open
The remaining useful life (RUL) and utilization strategy of an aero-engine are related to the flight safety of an aircraft, which directly affects the flight itself and the safety of the occupants. Aiming at the complexity of aero-engine c…
View article: IoT-Based Patient Fall Detection and Emergency
IoT-Based Patient Fall Detection and Emergency Open
The IoT-Based Patient Fall Detection and Emergency Alert System provides a smart healthcare framework that automatically identifies patient falls and generates immediate notifications for assistance. The proposed design employs an ESP32 mi…
View article: Cloud-Enabled Industrial Hazard Detection System
Cloud-Enabled Industrial Hazard Detection System Open
Nowadays, machine operations and their health status monitoring are the key factors for the production, safety, and cost-effective operations in the modern sector. It is common for traditional condition monitoring systems to be expensive a…
View article: Severity-Regularized Deep Support Vector Data Description with Application to Intrusion Detection in Cybersecurity
Severity-Regularized Deep Support Vector Data Description with Application to Intrusion Detection in Cybersecurity Open
Anomalies in real systems differ widely in impact, as such, missing a high-severity event can be far costlier and consequential than flagging a benign outlier. This paper introduces Severity-Regularized Deep Support Vector Data Description…
View article: Effects of diaphragmatic breathing training on alarm fatigue and patient safety culture among ICU nurses: a quasi-experimental study
Effects of diaphragmatic breathing training on alarm fatigue and patient safety culture among ICU nurses: a quasi-experimental study Open
Background and aim Alarms in ICUs are a major factor in causing fatigue in nurses. This can lead to a decrease in the quality of nursing care and patient safety culture. This study aimed to investigate the effect of diaphragmatic breathing…
View article: Smart Road Safety and Emergency Response System
Smart Road Safety and Emergency Response System Open
This research paper explores the development of a compact and automated Vehicle Accident Alert System to enhance road safety and emergency response. Centered on the Arduino Nano platform, the system integrates the ADXL335 accelerometer sen…
View article: Synthetic Collapse: The Global Risk of Information Inbreeding in AI Ecosystems
Synthetic Collapse: The Global Risk of Information Inbreeding in AI Ecosystems Open
Synthetic Collapse: The Global Risk of Information Inbreeding in AI EcosystemsCivilization Physics — Entropy Dynamics Series This whitepaper examines synthetic collapse—a civilizational-scale fai…
View article: IoT-Enabled Smart Shoes for Visually Impaired Navigation and Safety
IoT-Enabled Smart Shoes for Visually Impaired Navigation and Safety Open
Visually impaired individuals face major mobility challenges due to difficulty in sensing obstacles, wet surfaces, and unsafe paths; traditional aids like white canes offer limited awareness and no remote emergency support. In overcoming t…
View article: A Multi-Step Grasping Framework for Zero-Shot Object Detection in Everyday Environments Based on Lightweight Foundational General Models
A Multi-Step Grasping Framework for Zero-Shot Object Detection in Everyday Environments Based on Lightweight Foundational General Models Open
Achieving object grasping in everyday environments by leveraging the powerful generalization capabilities of foundational general models while enhancing their deployment efficiency within robotic control systems represents a key challenge …
View article: Real-Time Detection of and Protection Against Two-Wheeler Theft Using Facial Recognition and IoT Notifications
Real-Time Detection of and Protection Against Two-Wheeler Theft Using Facial Recognition and IoT Notifications Open
As motorcycles and scooters are portable and widely used, two-wheeler theft has grown to be a serious security issue. Because vibration-based alarms and traditional locks are easily defeated, a more intelligent and robust solution is neede…
View article: ASSESSMENT OF FIRE AND RESCUE EMERGENCY PREPAREDNESS AT MURTALA MUHAMMED INTERNATIONAL AIRPORT (MMIA), LAGOS STATE, NIGERIA
ASSESSMENT OF FIRE AND RESCUE EMERGENCY PREPAREDNESS AT MURTALA MUHAMMED INTERNATIONAL AIRPORT (MMIA), LAGOS STATE, NIGERIA Open
This study examined fire and rescue emergency preparedness at Murtala Muhammed International Airport (MMIA), Lagos, Nigeria. Guided by four objectives, the study assessed equipment adequacy, personnel training and preparedness, compliance …
View article: ASSESSMENT OF FIRE AND RESCUE EMERGENCY PREPAREDNESS AT MURTALA MUHAMMED INTERNATIONAL AIRPORT (MMIA), LAGOS STATE, NIGERIA
ASSESSMENT OF FIRE AND RESCUE EMERGENCY PREPAREDNESS AT MURTALA MUHAMMED INTERNATIONAL AIRPORT (MMIA), LAGOS STATE, NIGERIA Open
This study examined fire and rescue emergency preparedness at Murtala Muhammed International Airport (MMIA), Lagos, Nigeria. Guided by four objectives, the study assessed equipment adequacy, personnel training and preparedness, compliance …
View article: Fault Prediction and Classification in Power Distribution Transformer Using Machine Learning
Fault Prediction and Classification in Power Distribution Transformer Using Machine Learning Open
This article used Random forest (RF) classifier, decision tree (DT) classifier, K-nearest neighbors (KNN) classifiers, extra tree (ET) classifier and extreme gradient boosting (XGB) classifier for fault prediction and classification in pow…
View article: Occupational 4-Methylsulfonyl-benzonitrile poisoning: a case report
Occupational 4-Methylsulfonyl-benzonitrile poisoning: a case report Open
Background 4-Methylsulfonyl-benzonitrile is an organic compound used in organic synthesis with applications in medicine, dye, and pesticide production. However, its toxicological characteristics in humans remain poorly understood, with no …
View article: An efficient temporal attention framework for real-time detection of unsafe driver behaviors
An efficient temporal attention framework for real-time detection of unsafe driver behaviors Open
View article: A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing
A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing Open
Remanufacturing describes a process where worn products are restored to like-new condition and it offers vast ecological and economic potentials. A key step is the quality inspection of disassembled components, which is mostly done manuall…