Miracle-dz/UniFAR-FTUs huggingface dataset:
Defect detection of laminated surface in the automated fiber placement process based on improved CenterNet

: To solve the problem that the low defect detection accuracy on fiber laminated surface in Automated Fiber Placement(AFP) process based on visible images influenced by poor light source, low texture contrast of prepreg and other factors, a method for defect detection of laminated surface infrared images in AFP process based on improved CenterNet was proposed to improve defect detection performance on laminated surface in AFP process. First of all, due to the limit on hardware configuration of IPC, and large amounts of parameters on CenterNet model, lightweight MobileNetV3 network based on ASFF was utilized as the backbone network of
Extremely Low Cycle Fatigue Behaviors of Anti-Seismic SteelHRB400 Reinforcing Steel Bars under Strong Earthquakes

The extremely low cycle fatigue (ELCF) behaviors of anti-seismic steel HRB400 reinforcing steel bars were comprehensively studied following the cyclic push-pull loading tests with extremely high strain amplitudes (up to ±12.8%). The cyclic stress response characteristics and cyclic stressstrain relationships were investigated. The cyclic response characteristics were closely related to the strain amplitudes, and the secondary hardening phenomenon appeared under some strain amplitudes. The strain-life data from the axial tests were used to derive suitable Coffin-Manson parameters for the test material. The scanning electron microscope (SEM) morphology revealed ELCF damage mechanisms were distinctive of those typical from LCF. Compared with the common low-cycle fatigue (LCF) fracture region, several unique features in the ELCF regime can be noticed, including the deviations of the fatigue life from the Coffin-Manson law and the transformation of fatigue cracking modes.
Towards Automated Data Cleaning Workflow

The success of AI-based technologies depends crucially on trustful and clean data. Analysis in data cleaning has provided a range of approaches to handle completely different data quality issues. Most of them require some prior information regarding the dataset so as to pick and configure the approach properly. We tend to argue that for unknown data sets, it is unreasonable to understand the data quality issues direct and to formulate all necessary quality constraints in round. Pragmatically, the user solves information quality issues by implementing associate degree repetitious cleaning process. This progressive approach poses the challenge of distinctive the right sequence of cleaning routines and their configurations. During this paper, we highlight our add progress towards building a cleaning work flow orchestrator that learns from cleaning tasks
Investigating the Transfer of Metals to Carrots and Tomatoes from Soils of Old Mining Site of Jos Plateau, Nigeria

: The levels of the heavy metals; cadmium (Cd) and lead (Pb) were investigated in the vegetables (carrots and tomatoes) planted in farmlands around the old mine sites in Jos, Plateau State. These edible vegetables were planted and harvested at maturity. Atomic absorption spectroscopy was used for the analyses. The result reveals that cadmium concentrations ranged from 0.01 – 0.45mg/kg and lead concentrations ranged from 0.01 – 0.31mg/kg. The uptake of these metals by tomatoes was higher than that of carrots. The results further showed that concentrations of cadmium in some of the vegetables were above the Food and Agriculture Organization/ World Health Organisation (FAO/WHO) maximum permissible limit. The soil – plant transfer factor values of cadmium in tomatoes from two of the farms were higher than 1(TF>1), one farm had transfer factor of 1, this implied that there was soil –plant transfer of cadmium in the tomatoes that had TF greater than 1. While lead had soil – plant transfer values lower than 1(TF<1) in some of the vegetables, this implied that there was no soil - plant transfer of lead to these vegetables. The mean concentration of cadmium in tomatoes was 0.04mg/kg for farm A, 0.18mg/kg in farm B and farm C had 0.46mg/kg. The maximum permissible limit is 0.10mg/kg, thus, it could be seen that only farm A with values lower than the permissible level could be recommended for human consumption.
Examining the Impact of Aquifer Storage and Recovery on DBRs

The underground storage of treated drinking water results in the elimination of trihalomethanes (THMs) and haloacetic acids (HAAs) produced during treatment and in a decrease in the concentration of residual disinfection by-product (DBP) precursors. Removal of THMs is associated with denitrifying conditions, whereas HAAs are removed under aerobic conditions. The findings are consistent with a biological mechanism for DBP and DBP precursor removal
The effect of caustics in acoustic inverse scattering experiments

Abstract : Most inversion techniques described in the literature rely on the validity of ray tracing, which breaks down in the presence of caustics. The linearized acoustic inverse problem with constant reference velocity is analyzed in order to quantify the effects of a caustic in a probing wavefront on the scattered signal. When the sound velocity is perturbed by a localized, unidirectional, high frequency inhomogeneity, the surprising result obtained is that the energy in the scattered field is spread out if the perturbation is located on the caustic. This spreading of energy allows the construction of an oscillatory integral representation of the scattered field, which has the same form, whether or not an incident caustic is present. On the other hand, a sequence of localized high frequency sound velocity perturbations is constructed such that the size of the scattered signal relative to the size of the inhomogeneity becomes arbitrarily large as the support of the perturbation approaches the caustic. In regions where there are no caustics, a general inverse operator is found for smoothly varying reference velocities. This operator is shown to be equivalent to an inverse operator constructed by Beylkin.
QRS Complex Detection and Monitoring Heart Abnormalities in ECG

An Electrocardiogram (ECG) is a biological signal and non-invasive method to record the electrical activity of the heart by electrodes placed on surface of human body. Acquiring and analysis of Rwave, can be done traditionally using different software. To be in advance this work focuses not only on acquiring and analysis of ECG signal but also on identification of cardiac abnormalities. This would bridge the gap between medical physicians and engineers. Our project is carried out with the help of Lab VIEW software. This model works for identifying particular abnormality. The signal is then fed to PC through NI ELVIS DAQ. Here the waveform in analog form is are converted to digital form and is analyzed for detecting the R peak of the ECG signal acquired, based on which the identification of cardiac disorders is done by sending them to the loops containing the conditions for cardiac disorders. Based on the results obtained from the analysis of the ECG signal and comparison with the loop conditions, the cardiac disorders identified and displayed instantly. Firstly, denoising can be done by using WA Detrend and Undecimated Wavelet Transform (UWT), then features extracted from the denoised ECG signal by using ECG Features Extractor. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. The amplitudes and intervals value of P-QRS-T segment determines the functioning of heart of every human. QRS detection, especially detection of R wave in heart signal, is easier than other portions of ECG signal due to its structural form and high amplitude. R wave is one of the most important sections of this complex, which has an essential role in diagnosis of heart rhythm irregularities and also in determining heart rate variability’.
FAKTOR PENENTU KEPUASAN LAYANAN DAN LOYALITAS PELANGGAN JASA PENERBANGAN PT. LION AIR DI MAKASSAR

Determinants of Satisfaction and Customer Loyalty PT Lion Air Flight Services This study aims to identify and analyze 1) Effect of service quality, reasonable price, psychology, and the image of the company directly have a positive and significant impact on customer service satisfaction and loyalty PT Lion Air in Makassar, 2) the direct effect of service satisfaction has positive and significant on customer loyalty PT Lion Air in Makassar, 3) effect of service quality, reasonable price, psychology, and the company's image indirectly have a positive and significant impact on customer loyalty through service satisfaction PT Lion Air in Makassar. This study aims to identify and analyze 1) Effect of service quality, reasonable price, psychology, and the image of the company directly have a positive and significant impact on customer service satisfaction and loyalty PT Lion Air in Makassar, 2) the direct effect of service satisfaction has positive and significant on customer loyalty PT Lion Air in Makassar, 3) effect of service quality, reasonable price, psychology, and the company's image indirectly have a positive and significant impact on customer loyalty through service satisfaction PT Lion Air in Makassar. The population in this study were all domestic airline Lion Air passengers with a destination and departure Makassar. The number of samples as many as 100 people. Sampling technique using accidental sampling. Methods of analysis using path analysis. Research results indicate that the quality of service, the reasonableness of the price, psychology, and the image of the company directly have a positive and significant impact on service satisfaction and customer loyalty. Satisfaction is positive and significant direct effect on customer loyalty. Quality service, reasonable prices, psychology, and the company's image indirectly have a positive and significant impact on customer loyalty through service satisfaction PT Lion Air in Makassar.
Nanofertlizers- A Potential Alternative to Chemical Fertilizers

Sanu Kumar Saha, SMA Rahman, F.H. Rahman and Subhasish Pramanik Subject Matter Specialist (Agromet), Krishi Vigyan Kendra, Burdwan, ICAR-CRIJAF, West Bengal Senior Scientist and Head, Krishi Vigyan Kendra, Burdwan, ICAR-CRIJAF, West Bengal Principle Scientist, ATARI-Kolkata, West Bengal Agromet Observer, Krishi Vigyan Kendra, Burdwan, ICAR-CRIJAF, West Bengal Corresponding author. E-mail: sahasanu49@gmail.com
Tatouage couleur adaptatif fondé sur l'utilisation d'espaces perceptifs uniformes

Ce papier presente un schema de tatouage d'images qui utilise des espaces perceptifs uniformes afin de fournir un espace d'insertion couleur qui soit local et adapte. La demarche adoptee a ete d'utiliser les espaces uniformes CIE-Lab, CIE-XYZ et la metrique d'acceptabilite CIE-94 pour pouvoir extraire un repere de masquage adapte a la valeur du pixel considere et des pixels de son voisinage. Le calcul du vecteur de masquage μ 1 est obtenu par calcul differentiel a partir des equations de transformations des espaces uniformes vers l'espace RVB. L'insertion du tatouage est ensuite effectuee par quantification des coefficients DCT. Le schema presente est finalement evalue en terme d'invisibilite de marquage mais aussi de robustesse par rapport a des traitements classiques d'image que sont la compression JPEG, le filtrage passe-bas et les transformations valumetriques. Une comparaison est egalement effectuee par rapport aux schemas utilisant d'autres composantes de tatouage (Luminance, composante bleue).
41. Area Coverage Optimization in WSN using Modified PSO

Wireless sensor network found immense uses in the daily life. Also, the random deployment of nodes is a preferable option in many applications such as earthquake observation, military applications, forest fire detection etc. It is expected that deployed nodes should be to able to monitor the field of interest (FoI) with the optimum capacity. In order to maximize the coverage of area, each node should be repositioned to an optimal position inside the FoI. A Modified Particle Swarm Optimization (PSO) algorithm has been proposed to achieve optimize coverage while keeping the number of nodes minimum. It introduces the concept of negative velocity in order to avoid premature convergence of the algorithm. The simulated results show a significant improvement in the performance with compared to the standard PSO.
Fault-Tolerant Control for a Flexible Group Battery Energy Storage System Based on Cascaded Multilevel Converters

A flexible group battery energy storage system (FGBESS) based on cascaded multilevel converters is attractive for renewable power generation applications because of its high modularity and high power quality. However, reliability is one of the most important issues and the system may suffer from great financial loss after fault occurs. In this paper, based on conventional fundamental phase shift compensation and third harmonic injection, a hybrid compensation fault-tolerant method is proposed to improve the post-fault performance in the FGBESS. By adjusting initial phase offset and amplitude of injected component, the optimal third harmonic injection is generated in an asymmetric system under each faulty operation. Meanwhile, the optimal redundancy solution under each fault condition is also elaborated comprehensively with a comparison of the presented three fault-tolerant strategies. This takes full advantage of battery utilization and minimizes the loss of energy capacity. Finally, the effectiveness and feasibility of the proposed methods are verified by results obtained from simulations and a 10 kW experimental platform.
A novel approach for prediction of pavement roughness using a hybrid gene expression programming-neural network technique

Effective prediction of pavement performance is essential for transportation agencies to appropriately strategize maintenance, rehabilitation, and reconstruction of roads. One of the primary performance indicators is the international roughness index (IRI) which represents the pavement roughness. Correlating the pavement roughness to other performance measures has been under continuous development in the past decade. However, the drawback of existing correlations is that most of them are not practical yet reliable for prediction of roughness. In this study a novel approach was developed to predict the IRI, utilizing two data sets extracted from long term pavement performance (LTPP) database. The proposed methodology included the application of a hybrid technique which combines the gene expression programming (GEP) and artiﬁcial neural network (ANN). The developed algorithm showed reasonable performance for prediction of IRI using trafﬁc parameters and structural properties of pavement. Furthermore, estimation of present IRI from historical data was evaluated through another set of LTPP data. The second prediction model also depicted a reasonable performance power. Further extension of the proposed models including different pavement types, trafﬁc and environmental conditions would be desirable in future studies. © 2016 Periodical Ofﬁces of Chang ' an University. Production and hosting by Elsevier B.V. on behalf of Owner. This is an open access article under the CC BY-NC-ND license (http://
The Influence of Customer Engagement and Word of Mouth on Customer Loyalty Through Purchase Decisions for PT 4Life Research Indonesia's Multi-Level Marketing Products

: This study is intended to determine the extent to which customer decisions and word of mouth (WOM) have a significant influence on customer loyalty through purchasing decisions at PT 4life Research Indonesia and which variables provide the most significant influence on customer loyalty. This study uses four variables to represent customer decisions: conscious participants, enthusiasm, social interaction. The results of the study indicate that of all the variables analyzed, it turns out that word of mouth is a variable that has a direct influence on customer loyalty.
KNOWLEDGE AND PERCEPTION OF TELEMEDICINE AMONG HEALTH PROFESSIONALS AT THE KOFORIDUA REGIONAL HOSPITAL, GHANA

: Telemedicine is a good educational medium that paves the way for continuing education or medical training for health care providers in isolated rural areas, who may not have the opportunity or time to travel to a big city and participate in professional training programs and workshops. The main objective of the study was to assess the knowledgebase and perception of Telemedicine among health professionals. This study was a non-experimental, descriptive study which employed a simple random sampling technique in selecting 100 health professionals at the Koforidua Regional Hospital in the Eastern region of Ghana. The study concluded that respondents are willing to work with telemedicine should it be introduced and will prefer in-service training as a way of learning new methods. Participants generally had a fair idea of telemedicine. Although, some of health professionals think ICT does not hinder healthcare delivery, the rampant power cut rather slows down the process.
Squeezing collective atomic spins with an optical resonator

This thesis describes two methods of overcoming the standard quantum limit of signalto-noise ratio in atomic precision measurements. In both methods, the interaction between an ultracold atomic ensemble and an optical resonator serves to entangle the atoms and deform the uncertainty distribution of the collective hyperfine spin so that it is narrower in some coordinate than would be possible if the atoms were uncorrelated. The first method uses the dispersive shift of the optical resonator’s frequency by the atomic index of refraction to perform a quantum non-demolition measurement of the collective spin, projecting it into a squeezed state conditioned on the measurement outcome. The second method exploits the collective coupling of the atoms to the light field in the resonator to generate an effective interaction that entangles the atoms deterministically. Both methods are demonstrated experimentally, achieving metrologically relevant squeezing of 1.5(5) dB and 4.6(6) dB respectively, and simple analytical models, including the effects of scattering into free space, show that much greater squeezing is realistically achievable. To demonstrate the potential usefulness of such squeezing, a proof-of-principle atomic clock whose Allan variance decreases 2.8(3) three times faster than the standard quantum limit is also presented, together with a discussion of the conditions under which squeezing improves its performance. Thesis Supervisor: Vladan Vuletić Title: Lester Wolfe Associate Professor of Physics
Workplace Bullying And Sexual Harassment Augment Turnover Intentions In Banking Sector; A Mediating Role Of Emotional Exhaustion

The primary goal of the study is to observationally demonstrate the existence of a direct relationship of workplace bullying and sexual harassment with turnover intentions, which will then be assisted by examining the role of Emotional Exhaustion as a mediator. The research carried out in a quantitative manner. Data is gathered through a questionnaire from the Banking Sector of Multan Region, Pakistan. Because of the large group of people in the target population, this study employed convenient random sampling with employees from Banking sector. Cronbach's Alpha and Discriminant Validity were used to evaluate the questionnaire's reliability. Smart PLS was used to conduct descriptive and inferential statistical analysis on quantitative data. As per report's results, the proportion of workplace bullying and sexual harassment appear to have a prominent impact on Turnover Intentions. Many firms are seeking to reset their Workplace Bullying and Sexual Harassment policies in order to protect workers from retaliation. The presented study will benefit managers, employees, and customers in the Banking Sector which will be incredibly valuable and instructional for decision-makers. Bullying practices are disheartened before they get incorporated in day-to-day employee interactions at work through the implementation of effective actions.
Application of chitosan and chitosan derivatives: A review

Chitosan is a chitin-derived biopolymer, one of the most abundant and renewable materials on earth. Chitin is a primary component of fungal cell walls, arthropod exoskeletons such as crustaceans, e.g. crabs, lobsters and shrimp and insects, molluscan radulae, cephalopod beaks, fish and lissamphibian scales. Due to its unique macromolecular structure, biocompatibility, biodegradability and other intrinsic functional properties, chitosan has attracted significant scientific and industrial interests since the late 1970s. The practical applications of chitosan and derivatives are in the food, agriculture, aquaculture, pharmacy, medicine, cosmetology, textile, and paper industries. In reality, nutraceuticals and cosmeceuticals are growing markets, and the next markets in the production of chitosan should be therapeutic and biomedical products. The goal of numerous fundamental studies is also chitosan. A number of works on chitosan applications published over the past two decades are highlighted in this study.
Impact Analysis of MPL on a PEFC Cell’s Temperature Distribution with Thin PEM and GDL for Operating at Higher Temperature than Usual

: According to the New Energy and Industry Technology Development Organization (NEDO) road map 2017 of Japan, polymer electrolyte fuel cell (PEFC) system is required to be operated at 90 °C and 100 °C for stationary and mobility applications, respectively. However, the general PEFC, which has Nafion membrane is operated within the temperature range between 60 °C and 80 °C. It is important to understand the temperature distribution in a PEFC cell for analyzing performance on working life span of PEFC. This study focuses on the combination of thin polymer electrolyte membrane (PEM) and thin gas diffusion layer (GDL) to improve power generation performance under relatively higher temperature operation conditions. In addition, this study also focuses on effect of micro porous layer (MPL), which can promote the mass transfer, over temperature distribution. The key aim of this study is to analyze impact of MPL of temperature distribution on the reaction surface ( T react ) of a cell of PEFC using thin PEM and GDL with variations of H 2 and O 2 supply flow rates and their relative humidity (RH) with changing the initial operating temperature ( T ini ) from 80 °C to 100 °C. As a result, the distribution of T react without MPL, for anode and cathode at 80 % RH and T ini at 80 °C and 90 °C, is higher than normal conditions. There is a small difference in temperature distribution among different RH conditions with MPL. The distributions of T react are relatively flat and almost the same among different RH conditions without MPL at T ini = 100 °C, while the distributions of T react with MPL are almost the same among different RH conditions. This study is revealed that more even temperature distribution and higher power generation performance can be obtained in the case without MPL compared to the case with MPL.
Masseter Muscle Resection for Facial Asymmetry Correction Due To Unilateral Masseteric Hypertrophy: A Rare Case Report

Unilateral masseteric hypertrophy is a rare and benign anomaly, usually asymptomatic, which follows a slow and progressive growth pattern and has variable causal factors. The treatment of masseteric hypertrophy can be surgical and non-surgi-cal, however, there is no protocol in the literature that determines which is the most suitable. A 23-year-old female patient presented with aesthetic complaints and clinical data compatible with unilateral hypertrophy of the masseter muscle. After facial analysis associated with imaging examination, it was concluded that the patient needed a unilateral masseter muscle resection surgery to decrease the lateral volume on the left side of the face by approximately 12mm. Surgical treatment was proposed using the modified PARY technique. Surgical treatment proved to be efficient, achieving satisfactory and stable results after 4 years of the surgical procedure, reducing the patient’s facial asymmetry, without the need of new interventions and with no sequela.