Miracle-dz/UniFAR-FTUs huggingface dataset:
Double-LCL resonant compensation network for electric vehicles wireless power transfer: experimental study and analysis

This study presents the experimental study and analysis of double-LCL resonant compensation network based wireless power transfer (WPT) system for electric vehicles. The WPT system could accomplish both constant current and the unity-power-factor for the transmitting terminal and the receiving terminal. In addition, the transmitting terminal inverter can achieve zero-voltage-switching. The multi-physical characteristics of the transmitting and receiving terminals based on LCL resonant compensation network are analysed in detail. Finally, three-dimensional finite element analysis and an experimental system with circular pads is setup to verify the theoretical analysis under different loads and horizontal/vertical misalignment conditions. At the condition of 200 mm gap and no horizontal misalignment, the system can supply the maximum output power of about 7.36 kW having the maximum efficiency of 95.87%.
Écrits de relève de poste : une activité continue

La releve de poste, generalement consideree comme la periode de remplacement d’une equipe par une autre, participe a assurer la continuite et la fiabilite du travail poste. Cet article considere la releve de poste de l’encadrement de proximite comme une activite inscrite dans la continuite du travail mise en œuvre au cours des postes successifs. L’etude porte sur le travail de chefs d’equipe dans une situation d’assemblage final en aeronautique travaillant en horaires discontinus (2x8), ou des releves avec rencontre entre deux equipes successives (avec transmissions ecrites et orales) alternent avec des releves sans rencontre (transmissions ecrites uniquement). L’analyse centree sur les activites de redaction et d’utilisation des ecrits de releve de poste dans la continuite du travail poste (avant, pendant et apres le changement d’equipes) montre : que la redaction des ecrits s’effectue tout au long des postes quelle que soit la releve a venir, mais qu’elle est systematique a l’approche d’une releve sans rencontre ; que les ecrits de ce qui est a faire par l’operateur montant et de ce qui a ete fait par le descendant supportent et tracent la coordination de l’activite collective. Ces resultats permettent : de considerer la tâche de releve de poste comme une tâche transversale aux autres tâches de l’encadrement de proximite qui participe a la coordination du travail au cours des postes successifs ; de proposer des principes pour l’amenagement et l’optimisation des releves de poste.
Sentiment Summarization Learning Evaluation Using LSTM (Long Short Term Memory) Algorithm

Lecturer learning evaluation is a text that contains student reviews related to lecturer learning performance. Learning evaluation is used as a lecturer's self-reflection material to improve the learning services provided in the next lesson. The evaluations are many in number, making it difficult for lecturers to analyze. Sentiment analysis techniques are needed to classify student evaluations. The evaluation that has been classified still leaves a long and convoluted text. Text summarization is one solution to summarize a long text into a dense and informative text. Text summarization is helpful to save time searching for the text's gist. There are two methods in text summarization, extractive and abstractive methods. This study applied an abstract method because the data used was an evaluation of lecturer learning whose reviews were written by students. The algorithm used for sentiment classification and text summarization used the Long Short Term Memory (LSTM) algorithm. The sentiment classification results were evaluated using a confusion matrix, namely testing the model with evaluation data. While the summary results were evaluated using ROUGE, which compared the summary results from the system with a manual summary by experts. In testing the confusion matrix system, the accuracy value was 0.902, and the f-measure value was 0.921. In the Recall-Oriented Understudy for Gisting Evaluation (ROGUE) test, the positive evaluation scored 0.16, and the negative evaluation scored 0.2. The developed tokenizer has not stored the tokens resulting from the training process. As a result, the prediction results when loading the model were not as good as when training was finished.
Hippo Signaling in the Endometrium

The uterus is essential for embryo implantation and fetal development. During the estrous cycle, the uterine endometrium undergoes dramatic remodeling to prepare for pregnancy. Angiogenesis is an essential biological process in endometrial remodeling. Steroid hormones regulate the series of events that occur during such remodeling. Researchers have investigated the potential factors, including angiofactors, involved in endometrial remodeling. The Hippo signaling pathway discovered in the 21st century, plays important roles in various cellular functions, including cell proliferation and cell death. However, its role in the endometrium remains unclear. In this review, we describe the female reproductive system and its association with the Hippo signaling pathway, as well as novel Hippo pathway genes and potential target genes.
Experimental Study and Analysis of the Generated Electric Power of Salter Duck-Ocean Wave Energy Harvester (OWEH) due to Additional Weight Change and Wave Amplitude

Among ocean energy, wave energy is one of the energy which has not been utilized optimally. As Indonesia has the longest coastline in the world, the development of OWEH is very important. In this paper, an experimental study and analysis of the generated electric power of Salter Duck type OWEH due to additional weight change and wave amplitude was carried out. Salter Duck is geometrically similar to the duck beak invented by Stephen Salter. The incoming wave toward the nodding duck area will move the beak up and down. This up-down motion is used to rotate the gear transmission system and electric generator. In this research, various additional weight was mounted on the Salter Duck beak and its influence to the generated power was studied at various wave amplitude.The experimental results show that additional weight of 300gr and wave amplitude of 0.028m to the model of OWEH can produce maximum electric power of 19.01mWatt with maximum angular acceleration of 0.0427rad/s2. Efficiency of the Salter Duck prototype is 56%.
Estimating Passenger Queue for Bus Resource Optimization Using LoRaWAN-Enabled Ultrasonic Sensors

Anecdotal evidence has shown that bus stops around our University campus, specifically those serving express buses to city center, can get very crowded during certain times. This not only causes immense frustration to students who experience large variations in wait-time, but also creates challenges for the university and transport authority in knowing when to schedule extra buses. This article outlines our efforts to instrument a main bus stop on our university campus with Internet of Things (IoT) sensors to monitor passengers queue length. Our specific contributions are as follows: 1) We begin by developing a LoRaWAN ultrasonic sensor for detecting people in the queue. The sensor emits an ultrasonic tone pulse every few seconds, and determines whether someone is in front of it based on the reflections received, if any. Ten sensor units are built, tested, and tuned in a lab environment to achieve optimum detection accuracy and data transmission rate; 2) Next, we install these sensors at a 6-m interval along the campus fence bordering the bus-stop. We develop an algorithm to infer the number of passengers in the queue from sensor data and demonstrate that it achieves reasonable accuracy with a mean absolute error of 10.7 people (for a queue size of up to 100 people); and 3) we develop an optimization model to reschedule bus dispatching time, aiming to minimize total wait time of passengers. We show that a reduction of up to 42.93% in passengers’ wait time can be achieved by adopting demand-driven bus scheduling.
Uncertainty quantification (UQ)

Uncertainty Quantification (UQ) is an emerging field in computational engineering that can provide certificates of fidelity in a simulation beyond the standard numerical error, and it includes uncertainty in boundary conditions, constitutive laws, materials properties and geometries. UQ is particularly impornat at microscales where geometric roughness and material properties cannot be readily quantified experimentally. Here we present a general framework for UQ based on the generalized polynomial chaos approach and various extensions that do not require modification of existing codes and are particularly effective in Microsystems with many uncertain parameters (e.g. high dimensionality).
Development of the cherry leaf spot epidemics in different regions of Bulgaria

A 2-year research on the epidemics of the cherry leaf spot (CLS) was conducted in unsprayed cherry orchards at two locations in Bulgaria (Krichim and Gabarevo). The primary infections for both years at Gabarevo happened in mid-May during fruit development. In Krichim during 2018 the first symptoms of the disease appeared in early June (fruit ripening), while in 2019 they became evident in the second half of May (fruit development). In both locations and years, the period of a rapid increase in the CLS incidence and defoliation was from mid-June till late July. The maximum of the disease incidence and defoliation was observed in early September. More seasonal rather than regional trend in the disease dynamics was observed. In 2018 the orchards in both locations exhibited delayed the CLS progression compared to 2019 due to the relatively dry conditions in April and May. The higher disease incidence and defoliation in 2019 could be assigned to the high infection background and weather conditions in the beginning of the growing season.
Brain Metabolic Alterations in Alzheimer’s Disease

The brain is one of the most energy-consuming organs in the body. Satisfying such energy demand requires compartmentalized, cell-specific metabolic processes, known to be complementary and intimately coupled. Thus, the brain relies on thoroughly orchestrated energy-obtaining agents, processes and molecular features, such as the neurovascular unit, the astrocyte–neuron metabolic coupling, and the cellular distribution of energy substrate transporters. Importantly, early features of the aging process are determined by the progressive perturbation of certain processes responsible for adequate brain energy supply, resulting in brain hypometabolism. These age-related brain energy alterations are further worsened during the prodromal stages of neurodegenerative diseases, namely Alzheimer’s disease (AD), preceding the onset of clinical symptoms, and are anatomically and functionally associated with the loss of cognitive abilities. Here, we focus on concrete neuroenergetic features such as the brain’s fueling by glucose and lactate, the transporters and vascular system guaranteeing its supply, and the metabolic interactions between astrocytes and neurons, and on its neurodegenerative-related disruption. We sought to review the principles underlying the metabolic dimension of healthy and AD brains, and suggest that the integration of these concepts in the preventive, diagnostic and treatment strategies for AD is key to improving the precision of these interventions.
Clinoptilolite (E567), a natural zeolite, inclusion in heavy-pig diets: Effect on the productive performance and gaseous emissions during fattening and manure storage

Intensive pig rearing systems produce several air pollutant emissions, mainly associated with housing and slurry storage. Dietary strategies based on the use of feed additives can effectively mitigate such impacts. This work has been aimed at evaluating the effectiveness of dietary zeolites in mitigating ammonia (NH3), carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) emissions from piggery and slurry storage on finishing pig farms. An experimental trial, in which three groups of approximately 500 pigs each were reared, has been carried out on a commercial pig farm. The three groups were fed the same diet, with the addition of 0 g/kg (Z0, control), 10 g/kg (Z1), and 20 g/kg (Z2) of micronized clinoptilolite (E567), respectively. The emissions from housing facilities and the live and slaughtering animal performances, were assessed. In addition, manure samples were collected during the rearing period to evaluate, at a laboratory scale, the NH3, CO2, CH4, and N2O emission potential during the subsequent slurry storage phase prior to land application. The results have shown that the addition of dietary zeolite can be considered a valid strategy to reduce gaseous emissions from pig houses without affecting animal performances or the system’s overall productivity. Treatment Z2 gave the best results and resulted in a 25% and 36% reduction of NH3 and CO2 equivalent emission fluxes, respectively, compared to those recorded for the control. The laboratory- scale experiment revealed no significant effect of dietary clinoptilolite inclusion on NH3 or the greenhouse gas emission potential during slurry storage.
Biosynthesis, Characterization and Biological Studies of Copper Nanoparticles from Methanolic Extract of Bulb of Zephyranthes citrina

This work reports the biosynthesis, characterization and biological studies of copper oxide nanoparticles using a methanolic extract of bulb of Zephyranthes citrina. The synthesised copper oxide nanoparticles were characterized by using various spectral techniques. The functional, structural and morphological studies were confirmed by FT-IR, XRD and SEM respectively. The elemental composition was determined by EDAX analysis. The various spectral data confirms the formation of copper oxide nanoparticles and is found to be orthorhombic, 18-50 nm of size and spherical in shape. The synthesised copper oxide nanoparticles were investigated for antibacterial activity against gram positive (Staphylococcus aureus, Bacillus subtilis and Staphylococcus epidermidis), gram negative (Salmonella typhi, Escherichia coli and Klebseilla pneumoniae) and antifungal (Aspergillus niger, Candida albicans and Fusarium oxysporum) activities with different pathogens. The results revealed that copper oxide nanoparticles exhibit excellent inhibition efficiency against representative microorganisms. The outcome of the study could be useful for the development of value added products from indigenous medicinal plants. © 2020 iGlobal Research and Publishing Foundation. All rights reserved.
KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network

Over the past decade, gait recognition had gained a lot of attention in various research and industrial domains. These include remote surveillance, border control, medical rehabilitation, emotion detection from posture, fall detection, and sports training. The main advantages of identifying a person by their gait include unobtrusiveness, acceptance, and low costs. This paper proposes a convolutional neural network KinectGaitNet for Kinect-based gait recognition. The 3D coordinates of each of the body joints over the gait cycle are transformed to create a unique input representation. The proposed KinectGaitNet is trained directly using the 3D input representation without the necessity of the handcrafted features. The KinectGaitNet design allows avoiding gait cycle resampling, and the residual learning method ensures high accuracy without the degradation problem. The proposed deep learning architecture surpasses the recognition performance of all state-of-the-art methods for Kinect-based gait recognition by achieving 96.91% accuracy on UPCV and 99.33% accuracy on the KGB dataset. The method is the first, to the best of our knowledge, deep learning-based architecture that is based on a unique 3D input representation of joint coordinates. It achieves performance higher than previous traditional and deep learning methods, with fewer parameters and shorter inference time.
Global Procedure for Temperature Adjustment of Measured Pavement Deflection Data: Based on the Long-Term Pavement Performance Seasonal Monitoring Program

Pavement surface deflection testing is carried out by most state highway agencies (SHAs) on a limited basis to assess the structural capacity of existing pavements and to select and design pavement treatments. One difficulty with analyzing pavement deflection data is that, for flexible pavements, the deflection is dependent on temperature. To properly use the deflection data, the data should be adjusted on the basis of the measured temperature during the data collection process. A few temperature adjustment procedures have been developed in the past, but most cannot be used globally and for all scenarios and they require input data that are generally not collected by most SHAs. This paper details a simplified process that can be easily used by SHAs to adjust the measured pavement deflection to a 21°C testing scenario, with data they routinely collect during falling weight deflectometer testing, to design pavement treatments such as asphalt overlay. During this study, sponsored by the Long-Term Pavement Performance (LTPP) program, the LTPP database was used to develop a global procedure to adjust the measured pavement deflection to the standard testing temperature of 21°C. Most of the LTPP test sections have been subjected to deflection testing on a periodic basis; test sections included in the LTPP Seasonal Monitoring Program were subjected to frequent deflection testing over time. The 41 test sections included in the analyses had different pavement cross sections, were subjected to various maintenance activities, were located in four climatic regions, and were subjected to various traffic levels. This robust deflection database is representative of the various SHA pavement networks across North America. The results and the processes can be adopted to meet the needs of most SHAs.
Effects of Mechanical Ventilation Versus Apnea on Bi-Ventricular Pressure-Volume Loop Recording

Respiration changes intrathoracic pressure and lung volumes in a cyclic manner, which affect cardiac function. Invasive ventricular pressure-volume (PV) loops can be recorded during ongoing mechanical ventilation or in transient apnea. No consensus exists considering ventilatory mode during PV loop recording. The objective of this study was to investigate the magnitude of any systematic difference of bi-ventricular PV loop variables recorded during mechanical ventilation versus apnea. PV loops were recorded simultaneously from the right ventricle and left ventricle in a closed chest porcine model during mechanical ventilation and in transient apnea (n=72). Variables were compared by regression analyses. Mechanical ventilation versus apnea affected regression coefficients for important PV variables including right ventricular stroke volume (1.22, 95% CI [1.08-1.36], p=0.003), right ventricular ejection fraction (0.90, 95% CI [0.81-1.00], p=0.043) and right ventricular arterial elastance (0.61, 95%CI [0.55-0.68], p<0.0001). Right ventricular pressures and volumes were parallelly shifted with Y-intercepts different from 0. Few left ventricular variables were affected, mainly first derivatives of pressure (dP/dt(max): 0.96, 95% CI [0.92-0.99], p=0.016, and dP/dt(min): 0.92, 95% CI [0.86-0.99], p=0.026), which might be due to decreased heart rate in apnea (Y-intercept -6.88, 95% CI [-12.22; -1.54], p=0.012). We conclude, that right ventricular stroke volume, ejection fraction and arterial elastance were mostly affected by apnea compared to mechanical ventilation. The results motivate future standardization of respiratory modality when measuring PV relationships.
Red Horse Chestnut and Horse Chestnut Flowers and Leaves: A Potential and Powerful Source of Polyphenols with High Antioxidant Capacity

Aesculus flowers and leaves are an excellent source of bioactive compounds, including flavanols, phenolic acids, and anthocyanins, and the leaves also contain antioxidant carotenoids and chlorophylls. The aim of this study was to analyse and compare the amounts of bioactive compounds present in Aesculus hippocastanum and Aesculus × carnea flowers and leaves over two years. These two species from six independent locations (parks and green areas) located in Warsaw were assessed in this study. The dry matter by the scale method and polyphenol, carotenoid, and chlorophyll content by the HPLC method of the flowers and leaves was evaluated. Red horse chestnut flowers contained significantly more total carotenoids (40.6 µg/g FW) and chlorophylls (36.9 µg/g FW) than horse chestnut flowers, and red horse chestnut flowers contained higher levels of anthocyanins (5.41 µg/g FW) than other species. We observed that horse chestnut flowers were characterized by a higher total polyphenols concentration (9.45 µg/g FW) compared to red horse chestnut flowers. In addition, the analysis of leaves showed that all quality parameters were higher in red horse chestnut species. Five individual anthocyanins were identified in both species’ flowers, but a higher concentration was found in red horse chestnut flowers, and pelargonidin-3-O-glucoside was the predominant form among a pool of total anthocyanins. In both experimental years, leaves (109.25 mMol/100 g FW and 112.0 mMol/100 g FW) were characterized by a higher antioxidant activity than flowers (27.0 mMol/100 g FW and 27.5 mMol/100 g FW).
AgNPs Targeting the Drug Resistance Problem of Staphylococcus aureus: Susceptibility to Antibiotics and Efflux Effect

The present work presents translational research with application of AgNPs targeting the global drug resistance problem. In vivo fieldwork was carried out with 400 breeding farm cows sick with a serous mastitis. Ex vivo results revealed that after cow treatment with LactobayTM (a mixture of antibiotic drugs) the susceptibility to 31 antibiotics of S. aureus isolates from cow breast secretion decreased by 25%, while after treatment with Argovit–CTM silver nanoparticles S. aureus susceptibility increased by 11%. The portion of isolates with an efflux effect leading to elimination of antibiotics from S. aureus after Lactobay-treatment resulted in a 15% increase, while Argovit-C-treatment led to a 17.5% decrease. The obtained results showed that mastitis treatments with Argovit-CTM AgNPs can partially restore the activity of antibiotics towards S. aureus and shorten the duration of mastitis treatment by 33%.
Color Stability of Dental Composites after Immersion in Beverages and Performed Whitening Procedures

Objectives The study aimed to compare the color stability of two different light-cured composites after immersion in three liquids and the effectiveness of 16% carbamide peroxide (CP) in removing the discoloration. Material and methods Color stability of a microhybrid (Z250, 3M ESPE) and nanocomposite (Z550, 3M ESPE) was evaluated after immersion in instant coffee, tea, Coca-Cola, and deionized water as a control group (n=5). Samples were kept in liquids for four hours daily at 37°C for 30 days. Furthermore, 16% CP was applied for the following 14 days, simulating night whitening. A digital spectrophotometer was used for color measurement based on the CIEL*a*b* color coordinates. The color changes (∆E) were measured at baseline, after immersion in the beverages, and also after the teeth whitening procedure. Mixed and factorial ANOVA followed by Bonferroni’s post-hoc test were used for statistical evaluation (p≤0.05). Results Tested resin composites showed a color change over the acceptability threshold (ΔE*> 3.48) after immersion in coffee and tea. Nanocomposite reported a significant increase in discoloration in coffee after 30 days (p <0.05). The color of both materials significantly changed (p<0.05) along all three L*a*b* axes in coffee and tea to darker, yellow, and red. Whitening with 16% CP was effective in removing external discoloration in both examined composite materials. Conclusion Coffee and tea induced clinically detectable color changes in dental composites tested, with cumulative effects. Whitening represents an efficient method for the removal of surface discoloration in composite restorations.