Driver drowsiness is associated with altered facial thermal patterns: Machine learning insights from a thermal imaging approach.

Driver drowsiness is a significant factor in road accidents. Thermal imaging has emerged as an effective tool for detecting drowsiness by enabling the analysis of facial thermal patterns. However, it is not clear which facial areas are most affected and correlate most strongly with drowsiness.

Evaluation of driver drowsiness based on respiratory metrics.

Background: The transition from alertness to drowsiness can cause considerable changes in the respiratory system, providing an opportunity to detect driver drowsiness.

Objective: The aim of this study was to determine which respiratory features indicate driver drowsiness and then use these features to classify the level of drowsiness and alertness.

Methods: Twenty male students (mean age 25.

A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability.

Background: Numerous systems for detecting driver drowsiness have been developed; however, these systems have not yet been widely used in real-time.

Objective: The purpose of this study was to investigate at the feasibility of detecting alert and drowsy states in drivers using an integration of features from respiratory signals, vehicle lateral position, and reaction time and out-of-vehicle ways of data collection in order to improve the system's performance and applicability in the real world.

Methods: Data was collected from 25 healthy volunteers in a driving simulator-based study.

Persistent effects of mobile phone conversation while driving after disconnect: Physiological evidence and driving performance.

Cognitive workload has been known as a key factor in traffic accidents, which can be highly increased by talking on the phone while driving. A wide range of studies around the world investigated the effects of mobile phone conversations on driving performance and traffic accidents. But less noticed is the durability of cognitive effects of mobile phone conversations.

Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks.

The high number of fatal crashes caused by driver drowsiness highlights the need for developing reliable drowsiness detection methods. An ideal driver drowsiness detection system should estimate multiple levels of drowsiness accurately without intervening in the driving task. This paper proposes a multi-level drowsiness detection system by a deep neural network-based classification system using a combination of electrocardiogram and respiration signals.

Driver drowsiness detection using facial thermal imaging in a driving simulator.

Driver drowsiness causes fatal driving accidents. Thermal imaging is a suitable drowsiness detection method as it is non-invasive and robust against changes in the ambient light. In this paper, driver drowsiness is detected by measuring the forehead temperature at the region covering the supratrochlear artery and also the cheek temperature.

Tracing the physiological response and behavioral performance of drivers at different levels of mental workload using driving simulators.

Introduction: The use of mobile phones while driving is known to be a distraction factor and a cause of accidents. The way in which different kinds of conversations affect the behavioral performance of the driver as well as the persistence of the effects are not yet fully understood.

Method: In this study, in addition to comparing brain function and behavioral function in dual task conditions in three conversations types, the persistent effects of these types of conversations have also been traced.

Targeting RNA with Small Molecules: Identification of Selective, RNA-Binding Small Molecules Occupying Drug-Like Chemical Space.

Although the potential value of RNA as a target for new small molecule therapeutics is becoming increasingly credible, the physicochemical properties required for small molecules to selectively bind to RNA remain relatively unexplored. To investigate the druggability of RNAs with small molecules, we have employed affinity mass spectrometry, using the Automated Ligand Identification System (ALIS), to screen 42 RNAs from a variety of RNA classes, each against an array of chemically diverse drug-like small molecules (~50,000 compounds) and functionally annotated tool compounds (~5100 compounds). The set of RNA-small molecule interactions that was generated was compared with that for protein-small molecule interactions, and naïve Bayesian models were constructed to determine the types of specific chemical properties that bias small molecules toward binding to RNA.

Polyurethane-carbon microfiber composite coating for electrical heating of concrete pavement surfaces.

Electrically-heated pavements have attracted attention as alternatives to the traditional ice/snow removal practices. Electrically conductive polymer-carbon composite coatings provide promising properties for this application. Based on the concept of joule heating, the conductive composite can be utilized as a resistor that generates heat by electric current and increases the surface temperature to melt the ice and snow on the pavement surface.

Driver drowsiness detection based on classification of surface electromyography features in a driving simulator.

Driver drowsiness is a significant cause of fatal crashes every year in the world. In this research, driver's drowsiness is detected by classifying surface electromyography signal features. The tests are conducted on 13 healthy subjects in a driving simulator with a monotonous route.

Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection.

This paper presents a novel feature selection method to design a non-invasive driver drowsiness detection system based on steering wheel data. The proposed feature selector can select the most related features to the drowsiness level to improve the classification accuracy. This method is based on the combination of the filter and wrapper feature selection algorithms using adaptive neuro-fuzzy inference system (ANFIS).

Discovery of Selective RNA-Binding Small Molecules by Affinity-Selection Mass Spectrometry.

Recent advances in understanding the relevance of noncoding RNA (ncRNA) to disease have increased interest in drugging ncRNA with small molecules. The recent discovery of ribocil, a structurally distinct synthetic mimic of the natural ligand of the flavin mononucleotide (FMN) riboswitch, has revealed the potential chemical diversity of small molecules that target ncRNA. Affinity-selection mass spectrometry (AS-MS) is theoretically applicable to high-throughput screening (HTS) of small molecules binding to ncRNA.

Virtual reality and anxiety in primiparous women during episiotomy repair.

Background: In recent studies, using virtual reality (VR) has been proposed as a nonpharmacological method for anxiety reduction, but until this time, its effects have not been assessed on anxiety during episiotomy repair. This study aimed to determine the effect of audiovisual distraction (VR) on anxiety in primiparous women during episiotomy repair.

Materials And Methods: This clinical trial was conducted on 30 primigravida from May to July 2012 in the maternity unit of the Omolbanin Hospital, Mashhad city, Iran.

Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving.

Background: Driver fatigue is one of the major implications in transportation safety and accounted for up to 40% of road accidents. This study aimed to analyze the EEG alpha power changes in partially sleep-deprived drivers while performing a simulated driving task.

Methods: Twelve healthy male car drivers participated in an overnight study.

Selective small-molecule inhibition of an RNA structural element.

Riboswitches are non-coding RNA structures located in messenger RNAs that bind endogenous ligands, such as a specific metabolite or ion, to regulate gene expression. As such, riboswitches serve as a novel, yet largely unexploited, class of emerging drug targets. Demonstrating this potential, however, has proven difficult and is restricted to structurally similar antimetabolites and semi-synthetic analogues of their cognate ligand, thus greatly restricting the chemical space and selectivity sought for such inhibitors.

Correlation between Driver Subjective Fatigue and Bus Lateral Position in a Driving Simulator.

Background: Driver fatigue as a leading cause of death in the transportation industry can impair the driving performance in long-distance driving task. Studies on the links of driver subjective fatigue and the bus lateral position are still an exploratory issue that requires further investigation. This study aimed to determine the correlation between the driver subjective fatigue and the bus lateral position in a driving simulator.

Presenting a model for dynamic facial expression changes in detecting drivers' drowsiness.

Drowsiness while driving is a major cause of accidents. A driver fatigue detection system that is designed to sound an alarm, when appropriate, can prevent many accidents that sometime leads to the loss of life and property. In this paper, we classify drowsiness detection sensors and their strong and weak points.

The Effect of Virtual Reality on Pain in Primiparity Women during Episiotomy Repair: A Randomize Clinical Trial.

Background: Pain is one of the side effects of episiotomy. The virtual reality (VR) is a non-pharmacological method for pain relief. The purpose of this study was to determine the effect of using video glasses on pain reduction in primiparity women during episiotomy repair.

Data fusion to develop a driver drowsiness detection system with robustness to signal loss.

This study proposes a drowsiness detection approach based on the combination of several different detection methods, with robustness to the input signal loss. Hence, if one of the methods fails for any reason, the whole system continues to work properly. To choose correct combination of the available methods and to utilize the benefits of methods of different categories, an image processing-based technique as well as a method based on driver-vehicle interaction is used.

Structural analysis of RNA backbone using in-line probing.

To determine the secondary structure characteristics of nucleotides in an RNA polymer.

Impact of headway distance and car speed on drivers' decisions to answer an incoming call.

Objective: Previous studies on factors affecting drivers' decisions to use their mobile phones while driving are mostly focused on psychological and sociocultural contexts. Few investigations have been carried out on the role of traffic circumstances on drivers' decisions to use or not to use a mobile phone.

Methods: In this research, the effects of headway distance, speed, and the type of road as well as individual variables including age and driving experience are investigated.

miRNA-mediated gene silencing by translational repression followed by mRNA deadenylation and decay.

microRNAs (miRNAs) regulate gene expression through translational repression and/or messenger RNA (mRNA) deadenylation and decay. Because translation, deadenylation, and decay are closely linked processes, it is important to establish their ordering and thus to define the molecular mechanism of silencing. We have investigated the kinetics of these events in miRNA-mediated gene silencing by using a Drosophila S2 cell-based controllable expression system and show that mRNAs with both natural and engineered 3' untranslated regions with miRNA target sites are first subject to translational inhibition, followed by effects on deadenylation and decay.

A parsimonious model for gene regulation by miRNAs.

MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) act with the Argonaute family of proteins to regulate target messenger RNAs (mRNAs) posttranscriptionally. SiRNAs typically induce endonucleolytic cleavage of mRNA with near-perfect complementarity. For targets with less complementarity, both translational repression and mRNA destabilization mechanisms have been implicated in miRNA-mediated gene repression, although the timing, coupling, and relative importance of these events have not been determined.

Allosteric regulation of Argonaute proteins by miRNAs.

Small interfering RNAs (siRNAs) and microRNAs (miRNAs) bind to Argonaute (AGO) family proteins to form a related set of effector complexes that have diverse roles in post-transcriptional gene regulation throughout the eukaryotic lineage. Here sequence and structural analysis of the MID domain of the AGO proteins identified similarities with a family of allosterically regulated bacterial ligand-binding domains. We used in vitro and in vivo approaches to show that certain AGO proteins (those involved in translational repression) have conserved this functional allostery between two distinct sites, one involved in binding miRNA-target duplex and the other in binding the 5' cap feature (m(7)GpppG) of eukaryotic mRNAs.

An expanded seed sequence definition accounts for full regulation of the hid 3' UTR by bantam miRNA.

MicroRNAs (miRNAs) are an abundant class of approximately 22 nucleotide (nt) long noncoding RNAs that negatively regulate gene expression post-transcriptionally through imperfect base-pairing interactions with sequences in the target messenger RNA (mRNA). We examined the interactions of the bantam miRNA with the 3' untranslated region (UTR) of the hid mRNA, and a synthetic derivative, in Drosophila S2 cells in order to define the relative contributions of proposed bantam binding sites. The contribution of the bantam miRNA to repression of reporter constructs carrying different 3' UTRs was evaluated by measuring derepression of reporter expression following the transfection of bantam complementary oligoribonucleotides (anti-bantam).