Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Detection and Classification of Facial Emotions

Facial emotion detection and recognition is an emerging research field in detecting expression on a human’s face. Deep learning (DL) algorithms have gained immense success in various areas of implementation such as classification, recommendation models, object recognition, etc. Various types of modules that are brought together in this proposed technique for the betterment of the working are mainly contributed by the progressing field of deep learning mainly consisting of Convolutional Neural Networks (CNN) and Facial Emotion Recognition (FER). The FER is used to classify seven emotions on human faces. To develop higher efficiency, we also applied other essential techniques such as histogram equalization and background subtraction to the classification. Our proposed model provided 97 percent on average in seven-class recognition.
Remote Air Quality Sensing and Temperature Monitoring System using GSM for Smart City Application

The Global System for Mobile communication (GSM) is a digital mobile network which is used worldwide in mobile communication. In present days the GSM has been used in a different applications, like, in sending and receiving messages, medical services, data security, supply chain management, and so on. In this paper, an application based on a remote sensing mechanism along with a wireless communication system using GSM has been developed and tested. A temperature sensor is used to observe the abrupt change in the temperature in the environment and an air quality sensor is used to measure the existing pollution of air with respect to the harmful gas present in the air as remote sensing devices to monitor the environmental condition in real time. The sensor data has been converted into voltage signal and then fed to the Arduino ATmega328P which has been connected with the GSM modem SIM900A for remotely transferring the data into the client severs to notify as an SMS. Thus, the present system has been used as a real time air pollution detection system and fire detection system along with notification SMS at a control station as a step forward towards smart city application.
Three-Phase Current Unbalance Suppression Method of Linear Induction Motor Based on PR Controller

The new generation electromagnetic launch microgravity experiment facility is driven by a long primary linear induction motor with segmented power supply, which can achieve μg-level microgravity. The primary three-phase current of this kind of linear motor is obviously unbalanced, which will cause thrust ripple and increased mover loss. This paper adopts the method of parallel proportional resonance (PR) controller in current closed-loop to suppress the negative sequence component of unbalanced current and improve motor performance. This study carries out system co-simulation and experiment on 82 kW linear motor to prove that its suppression on unbalanced three-phase current is feasible.
The Melanocortin System: A Promising Target for the Development of New Antidepressant Drugs

Major depression is one of the most prevalent mental disorders, causing significant human suffering and socioeconomic loss. Since conventional antidepressants are not sufficiently effective, there is an urgent need to develop new antidepressant medications. Despite marked advances in the neurobiology of depression, the etiology and pathophysiology of this disease remain poorly understood. Classical and newer hypotheses of depression suggest that an imbalance of brain monoamines, dysregulation of the hypothalamic-pituitary-adrenal axis (HPAA) and immune system, or impaired hippocampal neurogenesis and neurotrophic factors pathways are cause of depression. It is assumed that conventional antidepressants improve these closely related disturbances. The purpose of this review was to discuss the possibility of affecting these disturbances by targeting the melanocortin system, which includes adrenocorticotropic hormone-activated receptors and their peptide ligands (melanocortins). The melanocortin system is involved in the regulation of various processes in the brain and periphery. Melanocortins, including peripherally administered non-corticotropic agonists, regulate HPAA activity, exhibit anti-inflammatory effects, stimulate the levels of neurotrophic factors, and enhance hippocampal neurogenesis and neurotransmission. Therefore, endogenous melanocortins and their analogs are able to complexly affect the functioning of those body’s systems that are closely related to depression and the effects of antidepressants, thereby demonstrating a promising antidepressant potential.
Application of Homotopy Perturbation Method to Squeezing Flow of a Newtonian Fluid

Axisymmetric viscous flow, generated by two large parallel plates slowly approaching each other, is studied where the effects of fluid inertia are taken into account. The problem is analyzed using the traditional perturbation method and He's homotopy perturbation method. The results obtained are compared, showing that the homotopy perturbation method appears to be more effective and easy to implement.
Fast Texture Synthesis Using Multiple Seeds as Constraints

To avoid noticeable seams between texture patches and minimize the stretch and distortion of the pattern when tiling a texture on surfaces, several texture synthesis methods have been proposed in the past few years, most of them however are time consuming and suitable only for part of textures. This paper presents a new approach for texture synthesis. The algorithm first selects multiple seeds from the sample image and puts them in the synthesized images as initial matching points, those points can be a line, a few lines or rectangle, the algorithm then searches for new matching points among the neighbors of the initial matching points along a spiral path and continues this process in a recursive manner until the synthesizing image is fully filled. Compared with the traditional approaches, the synthesizing process of our technique is dramatically speed up and reach to 360 quantitative grade, and the synthesizing speed can be accelerated further in the luminance space while retaining almost the same result as the image obtained in RGB space. In addition, our method can cope with the variation of the texture along different directions with ease. Experiments show that synthesizing results are quite satisfactory.
RADIOFREQUENCY FACILITATED MANUAL SEMI-ENDOSCOPIC DISCECTOMY
UTILIZING THE DISC FX® SYSTEM IN THE TREATMENT OF DISC-PREDOMINATE
LUMBAR SPINAL STENOSIS

Background: Lumbar spinal stenosis (LSS) occurs with increasing prevalence in the elderly population. The American Academy of Orthopedic Surgeons has estimated that by 2021, 2.4 million adults in the United States (8-11% of the population) will be affected by this condition. Surgical options for LSS are being performed with increased frequency, high cost, and substantial risk of life-threatening complications. While nonsurgical treatment options for LSS are available, they are limited by patient selection (ligamentum flavum hypertrophy) or high rates of reoperation (Interspinous process spacer devices). This study is the first to suggest a minimally invasive treatment option for disc-predominate lumbar central canal stenosis. Objectives: To evaluate the clinical efficacy of radiofrequency facilitated manual semi-endoscopic discectomy utilizing the Disc FX® system in the treatment of disc-predominate lumbar spinal stenosis. Study Design: Single center, prospective, observational study. Setting: Multi-specialty private practice clinic. The Medical Group of South Florida, Jupiter, FL. Methods: This study involved 6 patients with disc-predominant lumbar central spinal stenosis. All patients were treated with the Disc FX® system. Radiographic evidence of central lumbar stenosis was confirmed by measurement of minimum AP canal diameter (mm) performed by 1 board-certified neuroradiologist. Inclusion criteria included absence of lumbar surgery, physical therapy within the previous 6 months, failure of epidural steroid injections (3) within the previous 8 months, spondylolisthesis limited to Grade I, disc height > 50%, presence of low back axial pain + leg pain exacerbated by walking, and relieved with sitting or forward flexion, absence of dermatomal radicular leg pain, radiographic evidence of disc displacement > 4 mm from disc endplate. Zurich claudication (symptom severity and physical function scale was administered 1 week preoperatively, and again 6 months postoperatively. There were no patients lost to follow up. Results: All patients in the study demonstrated moderate-severe or severe central canal stenosis, with an average AP canal diameter of 6.63 mm for all treated disc levels and 5.5 mm for the most severe levels. There was a mean improvement of 57% in a symptom severity scale and 56% in the physical function scale at 6 months. This exceeds the improvement reported with interspinous spacer devices. Limitations: Limitations include very small sample size, observational design, non-randomization, absence of share controls, short follow-up period. Conclusion: For patients suffering from discpredominant lumbar spinal stenosis, The Disc FX® System provides an effective, low-cost alternative to surgical intervention. Key words: Spinal, stenosis, claudication, disc, Disc FX®, operative, minimally invasive, Zürich claudication score
WCGAN-Based Cyber-Attacks Detection System in the EV Charging Infrastructure

Transportation electrification and connected automated vehicle infrastructures are the future of sustainable e-mobility, fueling the robust deployment of vehicle charging infrastructures and evolving network and communication architectures. The incumbent technologies of sustainable e-mobility migrate the inherent vulnerabilities in software, hardware, protocols, communication, and human that state-funded or ill-willed cyber attackers could exploit. The existing deep learning-based detection algorithms suffer from constrained performance due to insufficient cyberattack data. Inspired by the synthetic data generation by the generative adversarial network (GAN), we propose the external classifier Wasserstein condition GAN (EC-WCGAN)-based network intrusion detection systems (NIDS) to detect the distributed denial of service (DDoS) attacks in the EV Charging infrastructures. Moreover, it can inform the different DDoS attack classes as well. The proposed method surpasses the DL-based model in terms of data usage and performance metrics. This method enhances the detection by generating plausible synthetic data for the low sample classes and training the classifier to get more than 99% performance metrics.
A Clustered Voltage Balancing Method of Star-Connected Cascaded H-Bridge STATCOM Under Unbalanced Grid Voltage

Static synchronous compensator (STATCOM) is a widely used reactive power compensation equipment. During the unbalanced power grid fault, the normal operation of STATCOM is a common concerned challenge, especially the resulting phase clustered voltage imbalance. After an explicit vector diagram analysis, a novel phase clustered voltage balance control method based on zero-sequence voltage injection is proposed. The proposed control method is simple to implement, with fast response, and does not need to acquire the negative sequence component of the grid voltage. In addition, a zero-sequence phase locking method is discussed to avoid potential system instability. Finally, the proposed control method is verified by detailed simulation.
Real-Time Emotional Analysis

This paper describes the development of a system which captures students’ facial expressions during a lecture and by using machine learning methods it produces a timeline of their emotions. Examples of such emotions are: happiness, surprise, fear, neutral and sadness. This can assist an educator to identify aspects for improving a lecture, such as, at which periods of time students were confused, or, in a 3-hour lecture when a break is needed, etc.
Rebuildable Silver Nanoparticles Employed as Seeds for Synthesis of Pure Silver Nanopillars with Hexagonal Cross-Sections under Room Temperature

Silver nanopillars with strong plasmonic effects are used for localized electromagnetic field enhancement and regulation and have wide potential applications in sensing, bioimaging, and surface-enhanced spectroscopy. Normally, the controlled synthesis of silver nanopillars is mainly achieved using heterometallic nanoparticles, including Au nanobipyramids and Pd decahedra, as seeds for inducing nanostructure growth. However, the seed materials are usually doped in silver nanopillar products. Herein, the synthesis of pure silver nanopillars with hexagonal cross-sections is achieved by employing rebuildable silver nanoparticles as seeds. An environmentally friendly, stable, and reproducible synthetic route for obtaining silver nanopillars is proposed using sodium dodecyl sulfate as the surface stabilizer. Furthermore, the seed particles induce the formation of regular structures at different temperatures, and, specifically, room temperature is beneficial for the growth of nanopillars. The availability of silver nanoparticle seeds using sodium alginate as a carrier at different temperatures was verified. A reproducible method was developed to synthesize pure silver nanopillars from silver nanoparticles at room temperature, which can provide a strategy for designing plasmonic nanostructures for chemical and biological applications.
At Long Last: Short, All-Oral Regimens for Multidrug-Resistant Tuberculosis in the United States

Abstract Multidrug-resistant tuberculosis (MDR-TB) has historically required longer treatment regimens that were associated with higher unfavorable outcomes and side effects rates compared with drug susceptible TB (DS-TB). During the last decade, several studies conducted mostly in high-incidence settings have shown that MDR-TB can be successfully treated using all-oral shorter regimens of 6- to 9-month duration. In this article, we review the evolution of MDR-TB treatment from the early long regimens with injectables agents (IAs), followed by the shorter regimens with IA, to the groundbreaking, all-oral, 6- to 9-month regimens. Finally, we propose a framework for implementation of the shorter all-oral regimens in the United States.
The Inception of Time Prudent Approach at Metro Stations

Metro systems are essential for meeting urban transportation requirements, particularly in large cities. The Automated Fare Collection (AFC) system used by the current metro systems is designed to simply keep track of single users. To be time-efficient, this article suggests the idea of a "Multiuser metro card" that would enable numerous people to utilize a single metro card. Card scanning, the number of passengers, and the destination are the only three inputs needed in the simple, three-step technique that is presented.
Panic Selling Analysis in Stock Market

During the era of great statistics, the use of information about the trends and costs of using advertising resources has become more popular than ever. Panic Sell-off is when the price of a stock drops quickly and significantly. This often happens when investors are unable to buy the true value of the stock or when short-term investors are able to drive the stock price down enough to cause a long-term loss. We obtained data from a Chinese language monitoring company twice and proposed a full adaptation of character development and basic literacy model to predict the development of the number of inventory statements. The proposed response is comprehensive as evidenced by a pre-processed enterprise backup database, multi-point operational technology methods along with a customized engine with deep knowledge, especially localization. We thoroughly reviewed existing models used for dominance and concluded that the external form of our response target was driven by a variety of adaptive technologies. This approach encompasses a comprehensive level of sophistication in forecasting food demand trends. By expanding and targeting evaluations of vaccination periods, efficacy techniques, and statistical methods, this paper contributes to the assessment of a type of selling, both in the taxonomic and specialized fields. Thus, our model is designed to analyse the trends of the stock market of a certain company, and alert the user during times of panic selling, advising them to hold on to their stocks instead of selling them off at that very point.
Partial Separation in Logistic Discrimination

SUMMARY The problem of maximum likelihood estimates in logistic discrimination is receiving growing attention in the literature. The existence is known to be highly dependent on the data configuration observed. Here we focus on the practically important case where the group samples form a set of clusters that are completely separated from each other, which we call 'partial separation'. The classical Fisher iris data set is a good example of the problem discussed. A non-existence theorem is proven and a general algorithm is developed to help to distinguish separation from multicollinearity given divergence in maximum likelihood estimation.
FEEDBACK CONTROLS TO ENSURE GLOBAL SOLUTIONS AND ASYMPTOTIC STABILITY OF MARKOVIAN SWITCHING DIFFUSION SYSTEMS

To treat networked systems involving uncertainty due to randomness with both continuous dynamics and discrete events, this paper focuses on diffusions modulated by a continuous-time Markov chain. In our paper [19], we considered ordinary differential equations with Markovian switching. This paper further treats more complex cases, namely, stochastic differential equations with Markovian switching. Our goal is to stabilize the systems under consideration. One of the difficulties is that the systems grow much faster than the allowable rates in the literature of stochastic differential equations. As a result, the underlying systems have finite explosion time. To overcome the difficulties, we develop feedback controls to extend the local solutions to global solutions and to stabilize the resulting systems. The feedback controls are Brownian type of perturbations. We establish the existence of global solution, prove the stability of the resulting systems, obtain boundedness in probability as $t\to\infty$, and provide sufficient conditions for almost sure stability. Then we present numerical examples to illustrate the main results.
Sustainable Secure Internet of Things (SS-IoT)

The development of Internet of Things (IoT) technology has been and remains a primary focus of the academic investigation. Smart cities rely primarily on IoT networks, and one of the most important challenges facing the development of smart solutions for these cities is cyber-attacks. Future communications and end devices should be well-secured, economical, energy-efficient, and eco-friendly. Thus, IoT deployment must be supported with lightweight cryptography techniques. This paper sheds light on a novel research trend, the Sustainable Secure Internet of Things (SS-IoT) that discusses IoT challenges regarding sustainability and security. In addition, current SS-IoT-related projects are touched on and presented. This study helps researchers and developers interested in technology and environmental engineering.
Vaginal Sheets with Thymbra capitata Essential Oil for the Treatment of Bacterial Vaginosis: Design, Characterization and In Vitro Evaluation of Efficacy and Safety

We aimed to incorporate Thymbra capitata essential oil (TCEO), a potent antimicrobial natural product against bacterial vaginosis (BV)-related bacteria, in a suitable drug delivery system. We used vaginal sheets as dosage form to promote immediate relief of the typical abundant vaginal discharge with unpleasant odour. Excipients were selected to promote the healthy vaginal environment reestablishment and bioadhesion of formulations, while the TCEO acts directly on BV pathogens. We characterized vaginal sheets with TCEO in regard to technological characterization, predictable in vivo performance, in vitro efficacy and safety. Vaginal sheet D.O (acid lactic buffer, gelatine, glycerine, chitosan coated with TCEO 1% w/w) presented a higher buffer capacity and ability to absorb vaginal fluid simulant (VFS) among all vaginal sheets with EO, showing one of the most promising bioadhesive profiles, an excellent flexibility and structure that allow it to be easily rolled for application. Vaginal sheet D.O with 0.32 µL/mL TCEO was able to significantly reduce the bacterial load of all in vitro tested Gardnerella species. Although vaginal sheet D.O presented toxicity at some concentrations, this product was developed for a short time period of treatment, so this toxicity can probably be limited or even reversed when the treatment ends.
Non linear and non gaussian states and parameters estimation using bayesian methods-comparatives studies

This chapter deals with the problem of non-linear and non-Gaussian states and parameters estimation using Bayesian methods. The performances of various conventional and state-of-the-art state estimation techniques are compared when they are utilized to achieve this objective. These techniques include the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF). In the current work, the authors consider two systems (biological model and power system) to perform evaluation of estimation algorithms. The results of the comparative studies show that the UKF provides a higher accuracy than the EKF due to the limited ability of EKF to accurately estimate the mean and covariance matrix of the estimated states through lineralization of the nonlinear process model. The results also show that the PF provides a significant improvement over the UKF because, unlike UKF, PF is not restricted by linear-Gaussian assumptions which greatly extends the range of problems that can be tackled.
Virtual reality in digital marketing: research agenda based on bibliometric reflection

PurposeThis study unravels the intellectual structure of virtual reality (VR) in digital marketing (DM) research, identifies core research gaps and presents future research avenues. The study also conducts a performance analysis of publications in the field and identifies the most important stakeholders of the stated topic.Design/methodology/approachThe Web of Science database was used to retrieve the publications that were relevant to the topic between 2012 and 2022. Biblioshiny, a shiny app for the Bibliometrix R package, is used to conduct a bibliometric analysis by decoding the results into several visual representations.FindingsThis report includes the most prolific contributors, keyword analysis results, productive nations, authors and connections, as well as the most often cited publications on VR in DM. In DM research, numerous perspectives on VR were looked at, explored and revealed.Practical implicationsThe findings provide a new perspective and understanding of the issue for researchers in order to improve their research insights in the field. This study will also benefit marketing practitioners in ensuring the sustainability and innovativeness of technology used to run their DM campaigns.Originality/valueThis research provides the first bibliometric analysis of the citation works and productivity in the field of VR in DM using Biblioshiny, identifies core research gaps and provides future research agenda which can be useful to advance the research understanding in this context.
On the backgrounds of the theory of m-Hessian equations

The paper presents some pieces from algebra, theory of function and differential geometry, which have emerged in frames of the modern theory of fully nonlinear second order partial differential equations and revealed their interdependence. It also contains a survey of recent results on solvability of the Dirichlet problem for m-Hessian equations, which actually brought out this development.