Miracle-dz/UniFAR-FTUs huggingface dataset:
Outpatient Oral Neuropathic Pain Management with Photobiomodulation Therapy: A Prospective Analgesic Pharmacotherapy-Paralleled Feasibility Trial

Neuropathic pain (NP) can be challenging to treat effectively as analgesic pharmacotherapy (MED) can reduce pain, but the majority of patients do not experience complete pain relief. Our pilot approach is to assess the feasibility and efficacy of an evidence-based photobiomodulation (PBM) intervention protocol. This would be as an alternative to paralleled standard analgesic MED for modulating NP intensity-related physical function and quality of life (QoL) prospectively in a mixed neurological primary burning mouth syndrome and oral iatrogenic neuropathy study population (n = 28). The study group assignments and outcome evaluation strategy/location depended on the individual patient preferences and convenience rather than on randomisation. Our prospective parallel study aimed to evaluate the possible pre/post-benefit of PBM and to allow for a first qualitative comparison with MED, various patient-reported outcome measures (PROMs) based on Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT-II) were used for up to a nine-month follow-up period in both intervention groups (PBM and MED). The PBM protocol applied to the PBM group was as follows: λ810 nm, 200 mW, 0.088 cm2, 30 s/point, 9 trigger and affected points, twice a week for five consecutive weeks, whereas the MED protocol followed the National Institute of Clinical Excellence (NICE) guidelines. Our results showed that despite the severe and persistent nature of the symptoms of 57.50 ± 47.93 months at baseline in the PBM group, a notably rapid reduction in PISmax on VAS from 7.6 at baseline (T0) to 3.9 at one-month post-treatment (T3) could be achieved. On the other hand, mean PISmax was only reduced from 8.2 at baseline to 6.8 at T3 in the MED group. Our positive PBM findings furthermore support more patients’ benefits in improving QoL and functional activities, which were considerably impaired by NP such as: eating, drinking and tasting, whereas the analgesic medication regimens did not. No adverse events were observed in both groups. To the best knowledge of the authors, our study is the first to investigate PBM efficacy as a monotherapy compared to the gold standard analgesic pharmacotherapy. Our positive data proves statistically significant improvements in patient self-reported NP, functionality, psychological profile and QoL at mid- and end-treatment, as well as throughout the follow-up time points (one, three, six and nine months) and sustained up to nine months in the PBM group, compared to the MED group. Our study, for the first time, proves the efficacy and safety of PBM as a potent analgesic in oral NP and as a valid alternative to the gold standard pharmacotherapy approach. Furthermore, we observed long-term pain relief and functional benefits that indicate that PBM modulates NP pathology in a pro-regenerative manner, presumably via antioxidant mechanisms.
The possible effects of electromagnetic waves of Wi-Fi router on the hippocampus of male rats

Nowadays, there is increasing in incidence rates of using the electromagnetic field in daily life at work and at home, and it considers one of the environmental stimuli affects different cells and organs in the body. There are different sources of electromagnetic waves in our environment, including wireless communications, radars, satellites, TV, and radio antennas. Wi-Fi networks are among the most common inducers of the electromagnetic field. It is a cheap common technology that exposes its users to a spectrum of short wavelength electromagnetic waves (2.45 GHz). It may affect cell function via non-thermal effects, and its exposure can increase reactive oxygen species (ROS) formation and decrease cognitive function. In this study, 10 male albino rats were exposed to 2.45 GHz Wi-Fi router radiation /12 hours per day per week for 6 weeks. The results of this study revealed that the Wi-Fi router radiation caused remarkable degeneration of hippocampal pyramidal and granular neurons and an increase in the aggregation of the intraneuronal neurofibrillary tangles (NFTs) in the neuronal cell body. In conclusion, electromagnetic radiation exposure can cause hippocampal dysfunction through the neuronal damage effect. Key words; EMR, Hippocampus, Wi-Fi router
ECG-Based Driver’s Stress Detection Using Deep Transfer Learning and Fuzzy Logic Approaches

Driver’s stress detection is a critical research area that helps reduce the likelihood of traffic accidents and driver’s health complexities due to prolonged stress. Previous work in this area is heavily based on traditional machine learning models that classify the driver’s stress levels using handcrafted features extraction techniques. Extracting the best features using these approaches is always a challenging task. Recently, deep learning techniques have emerged for constructing reliable features automatically and classifying the classes with high accuracy. However, large deep learning models face gradient exploding or vanishing problems. Moreover, acquiring a large dataset for training an entire network from scratch is also a challenging task. This paper is based on the deep transfer learning technique to avoid these problems and to reduce computational cost and time. Seven models are proposed for real-world driver’s stress levels detection using Electrocardiogram (ECG) signals. Different Convolutional Neural Network (CNN)-based pre-trained networks are used to classify the driver’s three stress levels. The time-frequency ECG components for the three stress levels are obtained as scalogram images using a normalized Continuous Wavelet Transform (CWT) filter bank and Morse wavelet. Results show that Model 5 based on Xception outperforms the GoogLeNet, DarkNet-53, ResNet-101, InceptionResNetV2, DenseNet-201, and InceptionV3 based models by 11.32%, 11.32%, 9.45%, 7.54%, 5.66%, and 1.88% respectively and achieves 98.11% overall validation accuracy. Ranking estimation using fuzzy logic approach shows that Xception based Model 5 achieves the highest rank for driver’s high and medium stress levels, while DenseNet-201 based Model 4 achieves the highest rank for low-stress level detection among the other models.
Revitalization of the Kuto Besak Fort in Palembang as an Indonesian Defense Heritage Asset

This research investigated the meaning of the revitalization process of colonial forts in Indonesia as defense heritage assets. This was a case study of the revitalization of Kuto Besak Fort in Palembang, South Sumatera. The researchers also analyzed the importance of studying defense heritage in defense diplomacy courses. The aim of this paper was to raise awareness about the defense heritage concept in Indonesia, as well as to create a framework that stakeholders could use to carry out the revitalization process. Qualitative methods were used through a literature review and examining references about the Kuto Besak revitalization process and Palembang history. Three theories were employed: the concept of defense heritage from Dr. Jeanne Francoise, defense diplomacy theory, and the revitalization definition from the Regional Revitalization Guidelines of the Indonesian Ministry of Public Works No.18/PRT/M/2010. It is hoped that this analysis can be used as an academic reference for the South Sumatera government to revitalize Kuto Besak fort, as well as to promote the idea of defense heritage in young people in Palembang, to increase their interest in the defense heritage values behind historical objects or buildings around them. Keywords: Indonesia, defense heritage, Kuto Besak fort, Palembang, South Sumatera, defense diplomacy, historical building, revitalization
Resilience, Psychological Stress, Physical Activity, and BMI among United States Air National Guardsmen: The COVID-19 Pandemic

Background Military service members carry the responsibility to maintain physical and psychological readiness. As such, it is critical for researchers to begin unravelling the widespread impact of the COVID-19 pandemic on service member’s mental and physical wellbeing. The aim of this research was to investigate the complex relationships between BMI, physical activity, psychological stress and resilience among United States Air National Guardsmen (USANG), specifically during the pandemic. Methods An online survey was distributed to USANG members. The survey included measures of resilience (CD-RISC-25), perceived psychological stress (PSS), perceived psychological stress brought on by COVID-19 (COVID-19 PSL), current levels of physical activity (IPAQ-SF), perceived impact on physical activity brought on by COVID-19 (COVID-19 PAL), and BMI. Pearson’s correlation coefficients (r) were used to assess correlation significance (α ≤ 0.05), direction, and magnitude. Results A total of 110 responses met inclusion criteria for data interpretation. A majority reported a decline in physical activity 54.5%, while 60% reported an increase in psychological stress. According to BMI classifications, 60.9% were considered overweight or obese. Seven meaningful (effect size ≥ |2.0|) and statistically significant salient associations were identified resilience-PSS r = -0.38; resilience-COVID-19 PAL r = 0.21; PSS-COVID-19 PSL r = 0.35; PSS-COVID-19 PAL r = -0.23; COVID-19 PSL COVID-19 PAL r = -0.24; IPAQ-SF-BMI r = -0.23; BMI-Covid-19 PAL r = -0.32. Conclusion Key outcomes suggest resilience is inversely associated with assessed and perceived stress, resilience may influence health-related behaviour which subsequently might aid as a protective factor against psychological stress. Knowledge regarding the relationships between the aforementioned variables may help inform decisions by military leadership regarding future lockdowns.
The Effects of Smartphone Use on Life Satisfaction in Older Adults

As the number of smartphone use by older adults increases, investigating the effects of smartphone use on health outcome become important in healthcare. This study aimed to investigate the effects of smartphone use on life satisfaction and the mediating role of depressive symptoms in older adults. This is a secondary data analysis study using the 2017 Korean Media Panel Survey. A total of 2071 respondents aged 65 years and older were analyzed to examine the effects of mobile phone type (no mobile phone/2G phone/smartphone) on life satisfaction. Among the respondents, data from 680 smartphone owners were analyzed to find the effects of the level of smartphone use on life satisfaction. The 2G mobile phone and smartphone owner groups showed significant positive effects on life satisfaction compared with the no mobile phone group, respectively. The level of smartphone use showed significant positive effects on life satisfaction. Depressive symptoms played a mediating role in both models. Smartphone use showed positive effects on life satisfaction in older adults. Nurses should promote the well-being of older adults and minimize the digital health gap in the future by increasing older adults' smartphone use through multi-level approaches.
Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation

Iris segmentation plays a pivotal role in the iris recognition system. The deep learning technique developed in recent years has gradually been applied to iris recognition techniques. As we all know, applying deep learning techniques requires a large number of data sets with high-quality manual labels. The larger the amount of data, the better the algorithm performs. In this paper, we propose a self-supervised framework utilizing the pix2pix conditional adversarial network for generating unlimited diversified iris images. Then, the generated iris images are used to train the iris segmentation network to achieve state-of-the-art performance. We also propose an algorithm to generate iris masks based on 11 tunable parameters, which can be generated randomly. Such a framework can generate an unlimited amount of photo-realistic training data for down-stream tasks. Experimental results demonstrate that the proposed framework achieved promising results in all commonly used metrics. The proposed framework can be easily generalized to any object segmentation task with a simple fine-tuning of the mask generation algorithm.
Conceptualisation and Validation of Multidimensional Measure of Workplace Spirituality

Workplace spirituality (WPS) has gained acknowledgement as a significant discipline in the corporate world. The dynamic environment leaves all the organisations in a quandary as to how to manage and take relevant and ethical decisions at the same time. However, despite the unprecedented challenges, organisations need to continuously stay agile, innovate for self-development and growth, and ultimately augment the wealth of the nation. It is at this time that WPS acquires utmost importance for the leaders. The research article intends to develop a scale and add new dimensions to the literature for measuring WPS from the point of view of the existing bank employees. We conducted two studies for testing the scale. For conducting Study 1, we applied exploratory factor analysis (EFA) with varimax rotation, and for Study 2, we applied second-order confirmatory factor analysis (CFA). Statistics were drawn from 406 employees from banks in Delhi National Capital Region (NCR). The results showed that WPS has seven dimensions, namely, meaningfulness, compassion, gratitude, authenticity, embracing diversity, resilience and inner peace, and others’ orientation. It may be useful for managers to analyse these dimensions in detail in order to identify their impact on employee work attitudes and job outcomes. We believe that this is a pioneering wherein WPS has been represented as a second-order factor. The concluding part of this paper contains an incisive discussion on future developments in the spirituality domain.
Cooperative path planning of multiple anti-ship missiles to multiple targets

In order to solve the problem of cooperative path planning for multiple anti-ship missiles,apath planning model is built based on cooperation in space and time,and the algorithm which feasible nodes are dynamically created and the algorithm based on cooperative evolution in multiple ant colonies are designed to figure out the models above.In the first algorithm,the search tree is built in mission space and infeasible nodes are deleted at the same time,therefore,the search range of path optimization is reduced.In the second algorithm,the optimized path muster of multiple missiles is collaterally searched through introducing the co-evolutionary strategy among multi-ant-colony and designing state transition rule and pheromone updating mechanism.The simulation results show that the proposed method could plan optimized cooperative paths for multiple anti-ship missiles,and that method is adapted for not only beforehand planning but also local real-time planning.
Characterization of Flat Sheet Pd/Ag Membrane Using Pure Hydrogen

The permeation characteristic of a flat sheet Pd/Ag membrane was investigated experimentally by using pure hydrogen. A 77wt. %Pd/23wt. %Ag membrane with 25μm thickness and 0.02m diameter was used. The hydrogen permeation mole flux was investigated under various reference membrane temperatures (423-723K), for upstream pressures of 0.21-0.29MPa, and feed flow rate of 1.39x10-4mol/s. In all cases, the downstream pressure was set at atmospheric. Experimental results demonstrate the linear relationship between the hydrogen permeation flux and difference in square root of hydrogen partial pressure between the upstream side and downstream side, regardless of reference temperatures. This indicates the compatibility of the Pd/Ag membrane used in the present study with Sieverts’ Law. At sufficiently low temperature level, the hydrogen permeation flux is found to be very sensitive with the changes in the temperature.
Extreme Value Theory Based Rate Selection for Ultra-Reliable Communications

Ultra-reliable low latency communication (URLLC) requires the packet error rate to be on the order of <inline-formula><tex-math notation="LaTeX">$10^{-9}$</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">$10^{-5}$</tex-math></inline-formula>. Determining the appropriate transmission rate to satisfy this ultra-reliability constraint requires deriving the statistics of the channel in the ultra-reliable region and then incorporating these statistics into the rate selection. In this paper, we propose a framework for determining the rate selection for ultra-reliable communications based on the extreme value theory (EVT). We first model the wireless channel at URLLC by estimating the parameters of the generalized Pareto distribution (GPD) best fitting to the tail distribution of the received powers, i.e., the power values below a certain threshold. Then, we determine the maximum transmission rate by incorporating the Pareto distribution into the rate selection function. Finally, we validate the selected rate by computing the resulting error probability. Based on the data collected within the engine compartment of Fiat Linea, we demonstrate the superior performance of the proposed methodology in determining the maximum transmission rate compared to the traditional extrapolation-based approaches.
Research on the wear and corrosion resistance of Ni–GO–TiC composite coating by scanning jet electrodeposition

The Ni–GO–TiC nano-composite coating was prepared by scanning jet electrodeposition. The morphologies and microstructures of the composite coating were analyzed by FESEM and XRD, and the wear and corrosion resistance of the composite coating were studied. Studies have shown that the Ni–GO–TiC composite coating has some ridge shape structures. The addition of nano TiC and GO does not change the structure but refines the grain growth of the Ni matrix metal. Nano TiC can effectively prevent GO from agglomerating, improve the dispersion, and further enhance the wear resistance of the Ni–GO–TiC composite coating. In addition, the microhardness and corrosion resistance of the Ni–GO–TiC composite coating has also been greatly improved. The hard nano TiC reinforcement proposed in this study helps to improve the comprehensive properties of nickel-based graphene oxide composite coatings, and provides a new method reference for subsequent research on nickel-based composite coatings.
Protective effect of p-coumaric acid on fructose induced- insulin resistance in albino rats

Background: Treatment of diabetes mellitus (DM) without any side effects is still a challenge. This leads to increase the demand for natural products with antidiabetic activity with fewer side effects. P-Coumaric acid has several pharmacological and biological actions, such as antioxidant (radical scavenging), neuroprotective, cardioprotective besides its antidiabetic effect. So we aim to evaluate the protective effect of p-coumaric acid on fructoseinduced insulin resistance in rats. Materials and Methods: Thirty male adult white albino rats were randomly divided into 3 groups of 10 animals each. control group received normal saline orally fructose group received fructose 60% dissolved in water for 5 weeks coumaric +fructose group received p-coumaric acid 100mg/kg/day for 4 weeks orally followed by fructose 60 ‰ dissolved in water for 5 week. At the end of the experimental period, BMI , blood pressure , insulin, glucose, lipid profile, ALT and AST were measured . Oxidative stress biomarkers were measured in liver tissue and HOMA-IR test was taken as an indicator of insulin resistance. Results There was significant elevation of BMI, blood pressure, fasting plasma glucose, fasting plasma insulin, HOMA-IR, fasting plasma (cholesterol, triglycerides and LDL levels) and MDA with decrease of HDL, SOD and glutathione in fructose group when compared to control group. Administration of p-coumaric acid prevents these results. Conclusion: treatment with p-coumaric acid protect against high fructose diet-induced hyperglycemia, insulin resistance, dyslipidemia and oxidative stress.
A review on potential uses of invasive aquatic weed; water hyacinth

1 Regional Center for Food and Feed, Agricultural Research Center, Giza, Egypt 2 El-Fostat Laboratory, Cairo Water Company, Cairo, Egypt 3 Office of the Dean (Research) & Division of Chemistry, Department of Science, Faculty of Science & Technology, Alliance University, Bengaluru 562106 Karnataka, India Corresponding Author: ghadiraly@yahoo.com ______________________________________________________________________________________
Public views of the value, potential, and sustainability of energy sources over the last 30 years in the Pacific Northwest, USA

the use of renewable energy has been an important topic in the four Pacific northwestern states for the last 30 years. large, statistically designed public surveys were conducted in the region in 1990, 2000, 2010, and 2020 to determine the perceived sustainability, future viability, and acceptance of the following ten energy sources: biomass, coal, geothermal, hydropower, natural gas, nuclear, oil, solar, tidal, and wind power. the survey questions were identical in all 4 years of the survey. these surveys were delivered by the us Postal service to over 3500 randomly chosen residents in each survey year. the public response rate exceeded 50% in each survey year. demographic data about age, gender, education level, community size, and state of residence of survey respondents were also collected. the survey data were statistically analyzed. in general, the public was literate identifying the renewable and nonrenewable energy sources as the majority of survey respondents correctly identified biomass, geothermal, hydropower, solar, and wind as renewable energy sources. based on survey results, over 75% of Pacific northwest residents considered it important or very important that their energy resources were renewable in 2020. the findings of this study were important because it shows that the public is in line with the scientific community with the goal of greatly reducing energy reliance on c containing nonrenewable energy sources including oil, coal, and natural gas. in summary, (1) the public strongly supports the transformation to a sustainable energy system using primarily renewable energy sources, (2) the use of traditional nonrenewable energy sources like natural gas should not be discouraged in the present; however, they should be phased out over the short and medium terms, (3) solar and wind energy should be significant sources to meet future energy needs in the region, and (4) the renewables including biomass and geothermal have a place in the future energy mix within the Pacific northwest.
ANALISIS EFISIENSI ENERGI PADA APLIKASI MEDIA SOSIAL MENGGUNAKAN PERANGKAT KOMUNIKASI BERGERAK

Perkembangan teknologi perangkat bergerak mulai mengarah ke dimensi yang lebih kecil serta pembuatan aplikasi yang cepat, terkoneksi dan efisien. Dengan mengecilnya dimensi, efisiensi energi aplikasi perangkat bergerak menjadi sangat penting. Aplikasi ponsel berkembang sangat cepat, seluruhnya terhubung pada aplikasi seperti sosial media, hal ini menjadi kebutuhan sehari-hari. Baterai memasok kekuatan daya yang terbatas pada perangkat komunikasi bergerak, social media harus meminimalisir sinyal untuk mempertahankan konsumsi daya serendah mungkin. Rangkaian eksperimental dikembangkan dengan menggunakan mikrokontroller yang dapat mengukur konsumsi energy pada perangkat smartphone android pada jaringan 802.11. Hasil eksperimen menunjukkan bahwa whatsapp mengkonsumsi daya lebih kecil dari aplikasi lainnya pada proses standby dan chat, yang kedua aplikasi Instagram dan skype mengkonsumsi daya tinggi. Untuk proses keseluruhan youtube dan tik tok mengkonsumi paling tinggi.