Prevalence of Sleep-Disordered Breathing and Its Association With Orofacial Symptoms Among Primary School Children in the Aseer Region, Saudi Arabia.

Background Sleep-disordered breathing (SDB) is a significant health concern affecting both adults and children. However, limited research has focused on SDB and its association with orofacial symptoms in primary school children in the Aseer Region, Saudi Arabia. Understanding the prevalence and impact of SDB in this specific population is crucial for early detection and intervention. The study aims to investigate the prevalence of SDB and its associations with orofacial symptoms among primary school children. Method A descriptive cross-sectional survey was conducted, involving 307 primary school children aged six to 12 years in the Aseer Region. Data was collected through a web-based questionnaire, analyzing demographic information, orofacial symptoms, sleep apnea symptoms, general symptoms, growth-related symptoms, and behavioral symptoms. Results The study showed a balanced gender distribution, with 67.8% of children falling between ages six and nine years. Most children were Saudi nationals, and 58.6% were enrolled in primary education. Orofacial symptoms were reported by 63.5% of children, with finger-sucking and grinding teeth while sleeping being the most common. Sleep apnea symptoms affected 44.3% of children, with snoring being the prevalent symptom. General symptoms were reported by 45% of children, with daytime sleepiness being the most common. Approximately 44.6% of children exhibited sleepiness and growth-related symptoms. No statistically significant relationship was found between age and the occurrence of these symptoms. Conclusion The study offers valuable insights into the prevalence of SDB and its associations with orofacial symptoms among primary school children in the Aseer Region. To truly gauge the impact of interventions on SDB, further research with therapeutic interventions is warranted. In the meantime, targeted strategies and awareness initiatives are needed to address SDB in this population and enhance their overall health and quality of life.

Knowledge and Awareness About Food Allergy Among Mothers With Allergic Children in the Aseer Region, Saudi Arabia.

Introduction Food allergies have become a significant health concern worldwide, affecting individuals of all age groups. It is particularly challenging for parents who have children diagnosed with food allergies, as they bear the responsibility of managing their child's condition and ensuring their safety. This study aimed to assess the knowledge and awareness about food allergies among mothers with allergic children in the Aseer region, Saudi Arabia. Methodology A cross-sectional study design was employed, and data were collected through a structured questionnaire administered to 400 mothers. The participants were selected through convenience sampling. Descriptive statistics, including frequencies and percentages, were used to summarize the demographic characteristics, knowledge and awareness levels, prevalence of allergenic foods, manifestations of food allergies, and factors influencing food allergies. Chi-squared tests were conducted to assess associations between variables. Results The study revealed a balanced representation across different age groups among the surveyed mothers, with the highest proportion falling in the 31-40 years range. A significant proportion of mothers had a university education, indicating a relatively higher level of education among the participants. The majority of mothers were employed in governmental positions, followed by housewives and those working in the private sector. Regarding knowledge and awareness, a substantial percentage of mothers correctly identified key aspects of food allergies. However, knowledge gaps were observed, particularly in understanding the hereditary nature. The prevalence of allergenic foods varied, with seafood (fish, shrimp, and tuna) emerging as the most commonly reported allergenic foods, followed by eggs, milk, wheat, chocolate, fruits, nuts, and other food types. Manifestations associated with food allergies were reported, including skin, respiratory, eye, nasal, gastrointestinal, and other symptoms. The associations between different feeding methods and the occurrence of medically diagnosed food allergies were found to be non-significant. However, having other children with food allergies showed a highly significant association with the occurrence of food allergies in the current child. The age of introducing solid food did not demonstrate a significant association with the occurrence of food allergies. Conclusion This study provides insights into the knowledge and awareness about food allergies among mothers with allergic children in the Aseer region, Saudi Arabia. While mothers demonstrated a reasonable understanding of food allergies, knowledge gaps were identified, particularly regarding the hereditary nature. The prevalence of allergenic foods aligns with previous studies, although variations across populations should be considered. The manifestations reported by the participants corroborate known allergic reactions, necessitating further analysis.

Dichalcogenide and Metal Oxide Semiconductor-Based Composite to Support Plasmonic Catalysis.

Nanocomposites comprising plasmon active metal nanostructures and semiconductors have been used to control the charge states in the metal to support catalytic activity. In this context dichalcogenides when combined with metal oxides offer the potential to control charge states in plasmonic nanomaterials. Using a model plasmonic mediated oxidation reaction p-amino thiophenol ↔ p-nitrophenol, we show that through the introduction of transition metal dichalcogenide nanomaterial, reaction outcomes can be influenced, achieved through controlling the occurrence of the reaction intermediate dimercaptoazobenzene by opening new electron transfer routes in a semiconductor-plasmonic system. This study demonstrates the ability to control plasmonic reactions by carefully controlling the choice of semiconductors.

MXene-GaN van der Waals metal-semiconductor junctions for high performance multiple quantum well photodetectors.

A MXene-GaN-MXene based multiple quantum well photodetector was prepared on patterned sapphire substrate by facile drop casting. The use of MXene electrodes improves the responsivity and reduces dark current, compared with traditional Metal-Semiconductor-Metal (MSM) photodetectors using Cr/Au electrodes. Dark current of the device using MXene-GaN van der Waals junctions is reduced by three orders of magnitude and its noise spectral intensity shows distinct improvement compared with the traditional Cr/Au-GaN-Cr/Au MSM photodetector. The improved device performance is attributed to low-defect MXene-GaN van der Waals interfaces. Thanks to the high quality MXene-GaN interfaces, it is possible to verify that the patterned substrate can locally improve both light extraction and photocurrent collection. The measured responsivity and specific detectivity reach as high as 64.6 A/W and 1.93 × 1012 Jones, respectively, making it a potential candidate for underwater optical detection and communication. The simple fabrication of MXene-GaN-MXene photodetectors spearheaded the way to high performance photodetection by combining the advantages of emerging 2D MXene materials with the conventional III-V materials.

Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.

Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a simple approach for estimating human body measurement data which could be used in walking speed-related health assessment. Conventional body measurement data of 2D images are dependent on body-worn garments (used as segmental markers) and are susceptible to changes in the distance between the participant and camera in indoor and outdoor settings. In this study, we propose five ratio-based body measurement data that can be extracted from 2D images and can be used to classify three walking speeds (i.e., slow, normal, and fast) using a deep learning-based bidirectional long short-term memory classification model. The results showed that average classification accuracies of 88.08% and 79.18% could be achieved in indoor and outdoor environments, respectively. Additionally, the proposed ratio-based body measurement data are independent of body-worn garments and not susceptible to changes in the distance between the walking individual and camera. As a simple but efficient technique, the proposed walking speed classification has great potential to be employed in clinics and aged care homes.

A Hierarchical 3D TiO2 /Ni Nanostructure as an Efficient Hole-Extraction and Protection Layer for GaAs Photoanodes.

Photoelectrochemical (PEC) water splitting is a promising clean route to hydrogen fuel. The best-performing materials (III/V semiconductors) require surface passivation, as they are liable to corrosion, and a surface co-catalyst to facilitate water splitting. At present, optimal design combining photoelectrodes with oxygen evolution catalysts remains a significant materials challenge. Here, we demonstrate that nickel-coated amorphous three-dimensional (3D) TiO2 core-shell nanorods on a TiO2 thin film function as an efficient hole-extraction layer and serve as a protection layer for the GaAs photoanode. Transient-absorption spectroscopy (TAS) demonstrated the role of nickel-coated (3D) TiO2 core-shell nanorods in prolonging photogenerated charge lifetimes in GaAs, resulting in a higher catalytic activity. This strategy may open the potential of utilizing this low-cost (3D) nanostructured catalyst for decorating narrow-band-gap semiconductor photoanodes for PEC water splitting devices.

Enhanced Photocatalytic and Antibacterial Ability of Cu-Doped Anatase TiO2 Thin Films: Theory and Experiment.

Multifunctional thin films which can display both photocatalytic and antibacterial activity are of great interest industrially. Here, for the first time, we have used aerosol-assisted chemical vapor deposition to deposit highly photoactive thin films of Cu-doped anatase TiO2 on glass substrates. The films displayed much enhanced photocatalytic activity relative to pure anatase and showed excellent antibacterial (vs Staphylococcus aureus and Escherichia coli) ability. Using a combination of transient absorption spectroscopy, photoluminescence measurements, and hybrid density functional theory calculations, we have gained nanoscopic insights into the improved properties of the Cu-doped TiO2 films. Our analysis has highlighted that the interactions between substitutional and interstitial Cu in the anatase lattice can explain the extended exciton lifetimes observed in the doped samples and the enhanced UV photoactivities observed.

Investigation of the EMG activity of erector spinae and trapezius muscles during Islamic prayer (Salat).

This study aimed to investigate the electrical activity of two muscles located at the dorsal surface during Islamic prayer (Salat). Specifically, the electromyography (EMG) activity of the erector spinae and trapezius muscles during four positions observed while performing Salat, namely standing, bowing, sitting and prostration, were investigated. Seven adult subjects with an average age of 28.1 (± 3.8) years were included in the study. EMG data were obtained from their trapezius and erector spinae muscles while the subjects maintained the specific positions of Salat. The EMG signal was analysed using time and frequency domain features. The results indicate that the trapezius muscle remains relaxed during the standing and sitting positions while the erector spinae muscle remains contracted during these two positions. Additionally, during the bowing and prostration positions of Salat, these two muscles exhibit the opposite activities: the trapezius muscle remains contracted while the erector spinae muscle remains relaxed. Overall, both muscles maintain a balance in terms of contraction and relaxation during bowing and prostration position. The irregularity of the neuro-muscular signal might cause pain and prevent Muslims from performing their obligatory prayer. This study will aid the accurate understanding of how the back muscles respond in specific postures during Salat.

Investigation of the EMG-time relationship of the biceps Brachii muscle during contractions.

[Purpose] This study investigated the changes in the slope of EMG-time curves (relationship) at the maximal and different levels of dynamic (eccentric and concentric) and static (isometric) contractions. [Subjects and Methods] The subject was a 17 year-old male adolescent. The surface EMG signal of the dominant arm's biceps brachii (BB) was recorded through electrodes placed on the muscle belly. [Results] The results obtained during the contractions show that the regression slope was very close to 1.00 during concentric contraction, whereas those of eccentric and isometric contractions were lower. Significant differences were found for the EMG amplitude and time lags among the contractions. [Conclusion] The results show that the EMG signal of the BB varies among the three modes of contraction and the relationship of the EMG amplitude with a time lag gives the best fit during concentric contraction.

EMG-force relationship during static contraction: Effects on sensor placement locations on biceps brachii muscle.

BACKGROUND: The relationship between surface electromyography (EMG) and force have been the subject of ongoing investigations and remain a subject of controversy. Even under static conditions, the relationships at different sensor placement locations in the biceps brachii (BB) muscle are complex. OBJECTIVE: The aim of this study was to compare the activity and relationship between surface EMG and static force from the BB muscle in terms of three sensor placement locations. METHODS: Twenty-one right hand dominant male subjects (age 25.3 ± 1.2 years) participated in the study. Surface EMG signals were detected from the subject's right BB muscle. The muscle activation during force was determined as the root mean square (RMS) electromyographic signal normalized to the peak RMS EMG signal of isometric contraction for 10 s. The statistical analysis included linear regression to examine the relationship between EMG amplitude and force of contraction [40-100% of maximal voluntary contraction (MVC)], repeated measures ANOVA to assess differences among the sensor placement locations, and coefficient of variation (CoV) for muscle activity variation. RESULTS: The results demonstrated that when the sensor was placed on the muscle belly, the linear slope coefficient was significantly greater for EMG versus force testing (r^{2} = 0.61, P > 0.05) than when placed on the lower part (r^{2}=0.31, P< 0.05) and upper part of the muscle belly (r^{2}=0.29, P > 0.05). In addition, the EMG signal activity on the muscle belly had less variability than the upper and lower parts (8.55% vs. 15.12% and 12.86%, respectively). CONCLUSION: These findings indicate the importance of applying the surface EMG sensor at the appropriate locations that follow muscle fiber orientation of the BB muscle during static contraction. As a result, EMG signals of three different placements may help to understand the difference in the amplitude of the signals due to placement.

EMG-force relationship during static contraction: effects on sensor placement locations on biceps brachii muscle.

BACKGROUND: The relationship between surface electromyography (EMG) and force have been the subject of ongoing investigations and remain a subject of controversy. Even under static conditions, the relationships at different sensor placement locations in the biceps brachii (BB) muscle are complex. OBJECTIVE: The aim of this study was to compare the activity and relationship between surface EMG and static force from the BB muscle in terms of three sensor placement locations. METHODS: Twenty-one right hand dominant male subjects (age 25.3±1.2 years) participated in the study. Surface EMG signals were detected from the subject's right BB muscle. The muscle activation during force was determined as the root mean square (RMS) electromyographic signal normalized to the peak RMS EMG signal of isometric contraction for 10 s. The statistical analysis included linear regression to examine the relationship between EMG amplitude and force of contraction [40-100% of maximal voluntary contraction (MVC)], repeated measures ANOVA to assess differences among the sensor placement locations, and coefficient of variation (CoV) for muscle activity variation. RESULTS: The results demonstrated that when the sensor was placed on the muscle belly, the linear slope coefficient was significantly greater for EMG versus force testing (r2=0.62, P<0.05) than when placed on the lower part (r2=0.31, P>0.05) and upper part of the muscle belly (r2=0.29, P<0.05). In addition, the EMG signal activity on the muscle belly had less variability than the upper and lower parts (8.55% vs. 15.12% and 12.86%, respectively). CONCLUSION: These findings indicate the importance of applying the surface EMG sensor at the appropriate locations that follow muscle fiber orientation of the BB muscle during static contraction. As a result, EMG signals of three different placements may help to understand the difference in the amplitude of the signals due to placement.