Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Machine Learning-Based Emotional Valence Recognition Approach Towards Wearable EEG

Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as healthcare and education. Facial expressions and tone of speech have been previously considered for emotion recognition, yet they have the drawback of being easily manipulated by subjects to mask their true emotions. Electroencephalography (EEG) has emerged as a reliable and cost-effective method to detect true human emotions. Recently, huge research effort has been put to develop efficient wearable EEG devices to be used by consumers in out of the lab scenarios. In this work, a subject-dependent emotional valence recognition method is implemented that is intended for utilization in emotion AI applications. Time and frequency features were computed from a single time series derived from the Fp1 and Fp2 channels. Several analyses were performed on the strongest valence emotions to determine the most relevant features, frequency bands, and EEG timeslots using the benchmark DEAP dataset. Binary classification experiments resulted in an accuracy of 97.42% using the alpha band, by that outperforming several approaches from literature by ~3–22%. Multiclass classification gave an accuracy of 95.0%. Feature computation and classification required less than 0.1 s. The proposed method thus has the advantage of reduced computational complexity as, unlike most methods in the literature, only two EEG channels were considered. In addition, minimal features concluded from the thorough analyses conducted in this study were used to achieve state-of-the-art performance. The implemented EEG emotion recognition method thus has the merits of being reliable and easily reproducible, making it well-suited for wearable EEG devices.
Animal Movement Pattern Model Identification based on Detrended Fluctuation Analysis

We propose an original approach to the analysis of animal movement patterns in an open field test. In our approach, the characteristic movement patterns are revealed by the Detrended Fluctuation Analysis (DFA). The animal movement trajectories during the open field test have been retrieved from the video recordings using the DeepLabCut framework. Linear projections of the movement trajectories are represented in either Cartesian or polar coordinate systems and analyzed by DFA. Our results indicate that characteristic animal movement patterns indicate two asymptotic regimes, with positive power-law correlated increments at small scales and negative power-law correlated increments at large scales, separated by a single crossover. The above results give rise to a model-parametric animal movement pattern representation, that is capable of revealing significant differences between different treatment scenarios. We believe that due to its simplicity and unambiguity, the proposed approach could be useful for the enhancement of the effectiveness and speed-up of the decision making procedures in various applications involving animal tests, such as applied pharmacology, including novel drugs screening.
Primal-Dual-Based Computation Offloading Method for Energy-Aware Cloud-Edge Collaboration

In the context of the Internet of Things (IoT), resource-constrained mobile edge computing (MEC) can no longer fully meet the needs of the rapidly growing number of mobile users; hence, cloud-edge collaborative computing has been developed. This paper focuses on the total energy consumption of the system and heterogeneity of scenarios, and a collaborative cloud-edge computation offloading approach with near real-time decision making is proposed. First, a general cloud-edge collaborative computation offloading model is abstracted from typical applications, and the energy consumption for edge and cloud offloading is calculated separately by considering both transmission and computational energy consumption. The problem is formulated as an integer linear program (ILP) with multidimensional resource constraints and is proven to be NP-hard. Then, a novel primal-dual computation offloading (PDCO) algorithm is designed to make near real-time offloading decisions one by one based on the sequential arrival of task requests. The approximation ratio of PDCO is derived through the weak duality property and the price-resource increment relationship. The experimental results show that under the guidance of total cost influenced by marginal prices, PDCO not only avoids blindly making offloading decisions but also effectively alleviates the shortage of resources on edge servers (ESs), approaching the optimal performance in terms of total energy consumption and resource utilization.
A Novel IGBT Junction Temperature Detection Based on High-Frequency Model of Inductor Element

Accurate online junction temperature detection of high-power insulated gate bipolar transistor (IGBT) modules is necessary for the health management system of key equipment. The voltage rise time (<inline-formula> <tex-math notation="LaTeX">$t_{\mathrm {rv}}$ </tex-math></inline-formula>) is a good temperature sensitive electrical parameter (TSEP), which is of great significance for its accurate online extraction. In this article, a novel IGBT junction temperature detection based on the high-frequency (HF) model of inductor element is proposed. First, the equivalent model of the inductor element in the application circuit at HF is demonstrated. Second, based on the HF model of the inductor element, it is proposed and verified that <inline-formula> <tex-math notation="LaTeX">$t_{\mathrm {rv}}$ </tex-math></inline-formula> in the IGBT turn-off process is consistent with the HF current pulse signal on the inductor element at HF, that is, <inline-formula> <tex-math notation="LaTeX">$t_{\mathrm {rv}}$ </tex-math></inline-formula> can be indirectly obtained by extracting the HF current pulse signal. Finally, the feasibility for voltage rise time extraction and junction temperature detection through HF isolation coil is verified by experiments and simulations. The research work in this article is helpful to the online junction temperature detection and has certain theoretical significance and practical engineering value.
Developed and Validated Capillary Isotachophoresis Method for the Rapid Determining Organic Acids in Children’s Saliva

One of the current challenges facing researchers is the search for alternative biological material, as opposed to routinely and invasively collected (such as blood), as the analysis of the former would provide information about the state of human health, allowing for the diagnosis of diseases in their early stages. With the search for disease biomarkers in alternative materials, the development of newer analytical solutions has been observed. This study aims to develop a reliable analytical method using the capillary isotachophoresis technique for the determination of organic acids in children’s saliva, the presence/elevation of which can be used in the future for diagnostic purposes. Organic acids such as formic, lactic, acetic, propionic, and butyric acid, were determined in the saliva of healthy children without carious lesions. The limit of quantification determined in the validation process was found to vary from 0.05 to 1.56 mg/L, the recoveries at the two levels were determined to vary between 90% and 110% for level I, while for level II the corresponding values of 75% and 106% were found; the presentation, expressed as relative standard deviation values (RSD), did not exceed 5%. The parameters determined while validating the results method indicated that the obtained are reliable. The Red–Green–Blue (RGB) additive color model was used for the evaluation of the method. This comparative analysis allowed us to define the color of the method, which expresses whether it meets the given assumptions and requirements. According to the RGB model, the isotachophoresis method developed requires less reagent input, shorter sample preparation times, and results with lower energy consumption. Thus, the subject procedure may provide an alternative, routine tool for determining organic acids in human saliva, to be applied in the diagnosing of diseases of various etiological origins.
A multi-set charged system search for truss optimization with variables of different natures; element grouping

Optimization problems may include variables of different natures. In structural optimization for example different variables representing cross-sectional, geometrical, topological and grouping properties of the structure may be present. Having different interpretations, the effects of these variables on the objective function are not alike and their search spaces may represent different characteristics. Thus, it is helpful to take these variables apart and to control each set separately. Based on the above considerations, in this paper a multi set charged system search (MSCSS) is introduced for the element grouping of truss structures in a weight optimization process. The results are compared to those obtained through predefined grouping by different algorithms. The comparisons show the efficiency and the effectiveness of the proposed algorithm. Although this paper only considers size optimization of truss structures where sizing and grouping variables are present and regarded as variables of different natures, the algorithm can be extended to cover the simultaneous shape and size optimization and topology optimization of different types of structures.
Retinal Structure Abnormalities in Parkinson’s Disease and Atypical Parkinsonism

We investigated retinal structure changes in patients with Parkinson’s disease (PD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and controls, and explored the value of this method in differential diagnosis. Spectral domain optical coherence tomography (SD-OCT) was used to measure peripapillary retinal nerve fiber layer (pRNFL) thickness, and macular thickness and volume. PSP patients showed higher temporal pRNFL thickness than PD and MSA patients. Peripapillary RNFL thickness could be used for discriminating PSP from MSA and PD. PD and MSA patients showed retinal thinning in the foveal center circle and nasal inner sectors compared to controls. Macular thickness and volume could be used for discriminating MSA from PD. There were negative correlations between disease duration and OCT parameters in PD, MSA, and PSP, independent of age, sex ratio, and the side of the eye. PD and atypical parkinsonism correlate with specific patterns of retina alterations. OCT could be a biomarker for differential diagnosis and progression evaluation of parkinsonian syndrome.
Large Deviations without Principle

We develop a methodology for studying “large deviations type” questions. Our approach does not require that the large deviations principle holds, and is thus applicable to a larg class of systems. We study a system of queues with exponential servers, which share an arrival stream. Arrivals are routed to the (weighted) shortest queue. It is not known whether the large deviations principle holds for this system. Using the tools developed here we derive large deviations type estimates for the most likely behavior, the most likely path to overflow and the probability of overflow. The analysis applies to any finite number of queues. We show via a counterexample that this sytem may exhibit unexpected behavior.
Short to Early-Mid Term Clinical Outcomes and Survival of Pyrocarbon Shoulder Implants: A Systematic Review and Meta-Analysis

Background The appropriate surgical treatment option for young and active patients undergoing shoulder arthroplasty for arthritis remains questionable. Pyrolitic carbon (pyrocarbon) has been shown to improve implant longevity and decrease wear when in contact with cartilage or bone. The present systematic review aimed to evaluate clinical and radiological outcomes as well as the survivorship of pyrocarbon shoulder implants. Methods The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. A systematic search was performed using the MEDLINE, EMBASE and Cochrane Library databases. All the studies dealing with the use of pyrolitic shoulder implants were pooled, data of interest were extracted and statistically analyzed through meta-analysis. Results A total of 9 studies were included for a total of 477 shoulders treated. The overall mean rate of survival of the implants was 93.4 ± 5.8% and 80% ± 26.5% at 2 years and final follow up, respectively, while resulting 82.4% ± 22.1% and 92.3% ± 3.5% for PISA (pyrocarbon interposition shoulder arthroplasty) and hemi-arthroplasty/hemi-resurfacing, respectively. Conclusions Pyrolitic carbon shoulder implants showed good survivorship and clinical outcomes at an early to early-midterm follow-up. More studies and better-designed trials are needed in order to enrich the evidence on long-term outcomes and comparison with other shoulder replacement options for young and active patients. Level of Evidence IV.
How Transparent Internal Communication From CEO, Supervisors, and Peers Leads to Employee Advocacy

The purpose of this study is to examine the role of transparent internal communication from multiple communication entities within organizations—CEO, supervisors, and peers—in employees’ internal and external advocacy, respectively, with a consideration of the two mediators: employee-organization relationship (EOR) and employee empowerment. Results of an online survey with 403 full-time employees in the United States suggested that transparent communication from direct supervisors was positively related to employee advocacy via heightened EOR and empowerment. In addition, positive associations between CEOs’ transparent communication and employees’ external and internal advocacy via a favorable EOR were found, while transparent peer communication was positively related to employee advocacy through empowerment. Theoretical and practical implications for strategic internal communication are discussed.
Printing of Synthetic Fabrics with Hydrochromic Paste and Post-Finishing With Silicone Rubber

ILICONE-based materials have been used for textile surfaces to develop water-resistant properties. The most common silicone rubber has been appealing due to its effectiveness in penetrating substrates without compromising the textile characteristics. Because of the urgent need for getting waterproofed clothes in many fields, this research investigates treating polyester as well as polyamide fabrics using silicone/ rubber. Silicone deposits hydrophobic layer on fiber surface, preventing water from penetrating into fibers and, therefore and making it waterproofed. Our fabrics were printed with a hydrochromic paste prior to being finished. The hydrochromic color changes from white to transparent when it becomes wet. All the required measurements were explored.
Data recycling: A response to the changing technology from the statistical perspective with application to psychiatric sleep research

Rapid technological advances have resulted in continual changes in data acquisition and reporting processes. While such advances have benefited research in these areas, the changing technologies have, at the same time, created difficulty for statistical analysis by generating outdated data which are incompatible with data based on newer technology. Relationships between these incompatible variables are complicated; not only they are stochastic, but also often depend on other variables, rendering even a simple statistical analysis, such as estimation of a population mean, difficult in the presence of mixed data formats. Thus, technological advancement has brought forth, from the statistical perspective, a methodological problem of the analysis of newer data with outdated data. In this paper, we discuss general principles for addressing the statistical issues related to the analysis of incompatible data. The approach taken to the task at hand has three desirable properties, it is readily understood, since it builds upon a linear regression setting, it is flexible to allow for data incompatibility in either the response or covariate, and it is not computationally intensive. In addition, inferences may be made for a latent variable of interest. Our considerations to this problem are motivated by the analysis of delta wave counts, as a surrogate for sleep disorder, in the sleep laboratory of the Department of Psychiatry, University of Pittsburgh Medical Center, where two major changes had occurred in the acquisition of this data, resulting in three mixed formats. By developing appropriate methods for addressing this issue, we provide statistical advancement that is compatible with technological advancement.
Adaptive Congestion Control Mechanism to Enhance TCP Performance in Cooperative IoV

One of the main causes of energy consumption in Internet of Vehicles (IoV) networks is an ill-designed network congestion control protocol, which results in numerous packet drops, lower throughput, and increased packet retransmissions. In IoV network, the objective to increase network throughput can be achieved by minimizing packets re- transmission and optimizing bandwidth utilization. It has been observed that the congestion control mechanism (i.e., the congestion window) can plays a vital role in mitigating the aforementioned challenges. Thus, this paper present a cross-layer technique to controlling congestion in an IoV network based on throughput and buffer use. In the proposed approach, the receiver appends two bits in the acknowledgment (ACK) packet that describes the status of the buffer space and link utilization. The sender then uses this information to monitor congestion and limit the transmission of packets from the sender. The proposed model has been experimented extensively and the results demonstrate a significantly higher network performance percentage in terms of buffer utilization, link utilization, throughput, and packet loss.
Lightcurves of 7 Near-Earth Asteroids

Abstract We present results of our CCD photometry of near-Earth asteroids (1627), (4957), (6569), 1993 UC, 1994 AH 2 , 1994 CB, and 1994 LX, that we made in 1994 and 1995. Synodic rotation periods were determined for 6 of them for the first time, and we provide constraints and show a consistency of our results with the earlier spin vector determination for (1627). Among the other objects, the most interesting observations were obtained for (4957), containing information useful for future spin vector determinations; 1993 UC, that is the second fastest rotator known among asteroids (period 2.340 hr); 1994 AH 2 , an object on the margin between asteroidal and cometary orbital types, with the probable rotation period of 23.95 hr; and 1994 CB, one of the smallest (est. 0.2 km) asteroids observed photometrically up to now.
Comment on "Consistent Integration and Propagation of Disparate Sensor Observations" by H.F. Durrant-Whyte

A small change in a homogeneous transform may be repre sented by either the change in the description vector of the transform or by a differential translation and rotation transfor mation. The differential motion vector describing the differential translation and rotation transformation is in general not equal to the change in the description vector. The calculations in Durrant-Whyte (1987a) are based on the assumption that they are equal and have to be modified accordingly.
Inflammatory Markers as Predictors for Prolonged Duration of Hospitalization in Maxillofacial Infections

Despite the progress made in diagnosing and treating maxillofacial infections, the course of infection can be unpredictable, leading to severe complications, prolonged hospitalization, and substantial financial costs to health care services. It is important to determine whether various serum inflammatory marker levels on admission may predict a prolonged hospital stay in these patients. To analyze the role of CRP, white blood cell count (WBC), and neutrophil-to-lymphocyte ratio (NLR) in predicting the prolonged duration of hospitalization in maxillofacial infections, we performed a retrospective study by collecting paper records data from 108 patients who met our inclusion criteria. The patients were divided into two groups according to the duration of hospitalization (group A < 5 days and group B ≥ 5 days). The predictor variables were CRP, WBC, and NLR, and the outcome variable was the duration of hospitalization. This study confirmed a positive linear correlation (p < 0.001) between the predictors and the outcome variable. The optimal cut-off values for WBC are 11,030 white blood cells/μL and 63 mg/L for CRP. Levels that exceed these optimal values predict a duration of hospitalization of over (≥) 5 days. Serum WBC and CRP on admission may predict the duration of hospitalization in patients with MFI.
Knowledge on Cervical Cancer Services and Associated Risk Factors by Health Workers in the Eastern Cape Province

Globally, cancer is a leading cause of death, with cervical cancer ranking second among all cancers. Its adversity impacts not only individuals but also families, societies, and governments. The quality of services, as informed by the knowledge and adequacy of the health workers, plays an important role in both prevention, diagnosis, and management of the disease. A cross-sectional study among 108 purposively selected health workers in rural health facilities in the Eastern Cape province was conducted to assess knowledge on cervical cancer and associated risk factors through the use of validated structured questionnaires. The Statistical Package for Social Sciences was used for analysis, with a 95% confidence interval and a p-value of 0.05 considered significant. A total of 91.7% of the 108 participants were female, and 25% were over the age of 50. A total of 88% and 85.2% indicated sexually transmitted disease and human immunodeficiency virus as major risk factors, respectively. The HPV, pap smear, and vaccination age were known by 64.8%, and vaccine availability was known by 71.3%. Only 40.7% of workers were trained on cervical screening, and 35.2% were trained on the interpretation of pap smear results. An overall knowledge score of 53% was obtained, with more experienced clinicians scoring lower grades. This study identified inadequacies in essential knowledge for successful implementation of cervical cancer services and found that extensive training was needed.