Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating the partial discharge inception and extinction voltage in a non-conductive electrical tree

Electrical tree growth through polymeric insulation is a key degradation process in HV cables. Partial discharges (PDs) are considered to be the energy conversion path for the tree growth. Several methods have been employed to study PDs in electrical tree channels, including the phase resolved PD (PRPD) pattern and pulse sequence analysis (PSA). Our recent work proposed a new method of estimating the PD inception and extinction voltages in non-conductive tree channel based on the PD signals. Here a typical non-conductive tree in polyethylene is considered. Both PRPD and PSA have been employed. It is found that after the PD inception, the PD inception and extinction voltages decrease with the tree growth, and become stable before breakdown. It is also found that the decrease of PD inception and extinction voltages causes an increase in the average number of PDs per cycle, and the shrinking of the dV-dV plot. In turn, the average number of PDs per cycle, and the dV-dV plot can be used to monitor the change of PD inception and extinction voltage during the tree growth.
Antibacterial and Antibiotic-Potentiating Activities of Thirteen Cameroonian Edible Plants against Gram-Negative Resistant Phenotypes

This work was designed to investigate the antibacterial activities of methanol extracts from thirteen Cameroonian edible plants and their antibiotic-potentiating effects against Gram-negative multidrug-resistant (MDR) phenotypes. The broth microdilution method was used to evaluate the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of the extracts, as well as their antibiotic-potentiating activities. The phytochemical screening of the extracts was carried out according to the standard methods. The results of phytochemical tests revealed the presence of sterols, polyphenols, and tannins in most of the tested extracts, with the other classes of secondary metabolites being selectively distributed. Tested extracts showed variable antibacterial activities with MIC values ranging from 64 to 1024 μg/mL. However, some extracts were significantly active against certain bacterial strains: seeds extract of Theobroma cacao (64 μg/mL) against Escherichia coli AG100Atet and Klebsiella pneumoniae K24, and the bark extract of Uapaca guineensis against E. coli ATCC 8739. The leaves extract of T. cacao displayed the best MBC values (256 μg/mL) against E. aerogenes EA27. Some tested extracts included extracts from the leaves of T. cacao and P. vulgaris, and the seeds of D. edulis and barks A. indica has selectively improved (2- to 64-fold) the antibacterial activities of some of the tested antibiotics, chloramphenicol (CHL), tetracycline (TET), kanamycin (KAN), streptomycin (STR), and erythromycin (ERY), against more than 70% of tested MDR bacteria. The findings of this work showed that tested plant extracts and particularly those from T. cacao and Phaseolus vulgaris can be used alone or in combination with conventional antibiotics in the treatment of infections involving multiresistant bacteria.
A Sentiment Analysis of Online Reviews Based on the Word Alignment Model: A Product Improvement Perspective

Online reviews have become the main way for customers to publish their product usage perception. How to extract valuable real-time information from online comments and make business decision with more intelligence is the main task of big data business. In this study, we put forward a word alignment model to analyze the customer's emotional response to product attributes in online comments, from the perspective of product designers. Then, the KANO method is applied to analyze online comments and develop appropriate product improvement strategies. Our research shows that the combination of online reviews and classic management patterns can bring success to big data businesses.
Low-Complexity Charging/Discharging Scheduling for Electric Vehicles at Home and Common Lots for Smart Households Prosumers

Plug-in electric vehicles are becoming one of indispensable prosumer electronics components for smart households and therefore, their cost efficient energy scheduling is one of the main challenging issues. In the current schemas, the charging and discharging interval of the vehicles are normally announced by the owners in advance leading to the suboptimal profit gain in some situations and hence consumers dissatisfaction. In this paper, we propose an efficient charging/discharging scheduling mechanism for electric vehicles in multiple homes common parking lot for smart households prosumers. The proposed mechanism takes into account the optimal interval allocation considering the instantaneous electricity load and the vehicles request pattern. Based on the data from the vehicles, a mixed optimization model is formulated by the central scheduler which aims to maximize the profit of consumers and is then solved using an effective algorithm. The optimization results are then sent to the system controller determining the interval and energy trading patterns between the power grid and the vehicles. The proposed algorithm has low complexity and ensures the energy satisfaction for all consumers. The performance of the scheduling schema is verified through multiple simulation scenarios.
Emotional Contagion System By Perceiving Human Emotion Based on Physiological Signals

The various wearable equipment enables the robot to measure some people emotional analysis by physiological signals. In our research, we present one emotional contagion system which could develop robotic emotion based on human interactive emotion. First, we research the physiological emotion recognition as the robotic sensory generation. Second, this paper considers the influence of the sensory on perception generation and establishes a tensor representing the real-time perception. Finally, based on previous work, we establish the emotional transition model for generating the robotic emotion and considering the correlation between the previous perception and emotion for cognitive and emotional continuity. In experiment part, we invited six postgraduates wrapping the wearable strap to watch 40 kinds of affective videos. We recorded their physiological signals while be transferring to the robot synchronously. We find emotional contagion system could have the superior performance with whatever is single user’s interactive situation or multi-users’ one.
Tumour‐derived leukaemia inhibitory factor is a major driver of cancer cachexia and morbidity in C26 tumour‐bearing mice

Cancer cachexia is a metabolic wasting syndrome that is strongly associated with a poor prognosis. The initiating factors causing fat and muscle loss are largely unknown. Previously, we found that leukaemia inhibitory factor (LIF) secreted by C26 colon carcinoma cells was responsible for atrophy in treated myotubes. In the present study, we tested whether C26 tumour‐derived LIF is required for cancer cachexia in mice by knockout of Lif in C26 cells.
Modified Pulse Sequence Analysis for PD measurement at DC

The Partial Discharge Behavior at DC conditions is currently investigated worldwide to find out anappropriate method and/ or principle for quality testing of HVDC components. Due to the lack of knowledge concerns a lot of basic investigations is performed. These kind of investigations should be continued also for other arrangements like surface discharge and cavity discharge test sets.The paper deals with results of PD measurement at a simple corona test set–needle-to- plane–under DCconditions using the Pulse Sequence Analysis of the PD behavior. For better understanding of the measured data some comparison measurement at AC conditions were performed.Despite of some differences in the PD behavior it could be shown, that the parameters cumulative charge Qsum and dQ/ dt are the most important parameters for characterizing the PD behavior at DC conditions. Additionally, the measuring time in depending on the insulation type is of great importance too, which was confirmed by a special arrangement – corona with insulating sheet.The method of cumulative charge and the PSA analysis were used to determine the partial discharge activity at AC and DC conditions. There was shown the differences between the cases of measurement without and with an insulating sheet between the electrodes. It seems to be that the parameter $\Delta \mathrm {Q}/ \Delta \mathrm {t}$could be useful for better understanding of the PD behavior and should be measured at further investigations
Identification of trophoblast‐specific elements in the HLA‐C core promoter

There are several aspects of HLA‐C gene expression that distinguish it from the HLA‐A and HLA‐B genes. First, HLA‐C is expressed by extravillous trophoblasts, whereas HLA‐A and HLA‐B are not. Second, its cell‐surface expression is much lower, which has been linked to changes in transcription and efficiency of peptide loading and export. Third, HLA‐C possesses a NK cell‐specific promoter and a complex alternative splicing system that regulates expression during NK cell development. In this study, we investigate the contribution of the HLA‐C core promoter to trophoblast‐specific expression. Analysis of transcription start sites showed the presence of a trophoblast‐associated start site and additional upstream TATA and CCAAT‐box elements in the HLA‐C promoter, suggesting the presence of an overlapping trophoblast‐specific promoter. A comparison of in vitro promoter activity showed that the HLA‐C promoter was more active in trophoblast cell lines than either the HLA‐A or HLA‐B promoters. Enhanced trophoblast activity was mapped to the central enhanceosome region of the promoter, and mutational analysis identified changes in the RFX‐binding region that generated a trophoblast‐specific enhancer.
Analysis of Nyquist Pulse Shapes for Carrierless Amplitude and Phase Modulation in Visible Light Communications

This paper proposes and experimentally demonstrates, for the first time, two new candidate pulse shapes for carrierless amplitude and phase modulation in the context of visible light communications. It is commonly accepted that the pulse shape at the heart of the Hilbert pair used to generate the required orthogonal signal spaces should be the square-root raised cosine. In this paper, we introduce two additional candidate pulse shapes, namely the first csv pulse and the so-called better-than-Nyquist pulse. We demonstrate experimentally that the better-than-Nyquist pulse offers superior bit-error rate performance compared to the square-root raised cosine and Xia pulses under additive white Gaussian noise channel conditions, while offering lower computational complexity.
Antimicrobial Activity of 3D-Printed Poly(ɛ-Caprolactone) (PCL) Composite Scaffolds Presenting Vancomycin-Loaded Polylactic Acid-Glycolic Acid (PLGA) Microspheres

Background The aim of this study was to design and test a novel composite scaffold with antibacterial efficacy for treating bone infections using a three-dimensional (3D) printed poly(ɛ-caprolactone) (PCL) scaffold coated with polydopamine (PDA) for the adsorption of polylactic acid-glycolic acid (PLGA) microspheres loaded with vancomycin. Material/Methods Vancomycin-loaded PLGA microspheres were produced by the double-emulsion method, and microsphere morphology, drug-loading dosage, encapsulation efficiency, average diameter, and release characteristics were examined. Composite scaffolds were prepared by adsorption of the microspheres on PDA-coated, 3D-printed PCL scaffolds, and scaffold morphology, biocompatibility, vancomycin release, and antibacterial efficacy were evaluated. Results The vancomycin-loaded microspheres were smooth, round, uniform in size, and had no adhesion phenomenon, and exhibited sustained release of vancomycin from the microspheres for more than 4 weeks. Upon modification with PDA, the PCL scaffold changed from white to black, and after microsphere adsorption, dot-like white particles were seen. On scanning electron microscopy, PDA particles were observed on the PCL/PDA composite scaffolds, and PLGA microspheres were evenly dispersed over the PDA coating on the PCL/PDA/PLGA composite scaffolds. Cell viability assays showed that the adhesion and proliferation of rabbit bone mesenchymal stem cells were greater on the PCL/PDA scaffolds than on unmodified PCL scaffolds. Microsphere adsorption had no significant effect on cell proliferation. In vitro release of vancomycin from the composite scaffolds was observed for more than 4 weeks, and observation of the inhibition zone on agar plates of Staphylococcus aureus showed that the scaffolds maintained their antibacterial effect for more than 4 weeks. Conclusions The 3D-printed, PDA-coated PCL scaffold carrying vancomycin-loaded PLGA microspheres exhibited good biocompatibility and a sustained antibacterial effect in vitro.
Myocardial perfusion assessed with cardiac computed tomography in women without coronary heart disease

Combined coronary CT angiography and CT perfusion (CTP) is a novel, non‐invasive, ‘one‐stop’ diagnostic tool to rule out ischaemia in patients suspected for coronary artery disease (CAD). However, the normal myocardial perfusion pattern by static CTP in humans is poorly described. We aimed to investigate global and regional myocardial perfusion during rest and adenosine‐induced hyperaemia in asymptomatic women without history of coronary heart disease (CHD).
A Semi-Real-Valued Capon Algorithm for 2-D DOA Estimation of Coherent Signals with L-Shape Array

T98 reduce the computational complexity of two-dimensional (2-D) direction of arrival (DOA) estimation of coherent signals, this paper proposes an semi-real-valued reduced-dimension Capon algorithm with L-shape array. First, the forward/backward spatial smoothing technique is adopted to de-correlate the coherency of sample covariance matrix. Then combining with the reduced-dimension Capon and least-square method, a semi-real-valued method is introduced to estimate the elevation and azimuth angles. Simulation results show that the proposed algorithm can not only have the similar estimation performance with traditional Capon, but also significantly reduce the computational complexity.
A Cutting Remesh Method Based on Barycentric Coordinates for 2D Triangulation Mesh

T376 paper presents a cutting remesh algorithm for 2-dimensional triangulation in mesh cutting simulation. A particular challenge in remesh algorithm of cutting simulation is elimination of ill-shape elements which are produced in cutting procedure. The algorithm we proposed is based on the combination of vertex snapping method and element refinement method in mesh cutting which can create non-jagged cutting trajectory. Our solution is to acquire duplication vertices by calculating barycentric coordinates of each element in cutting area and then to render cutting trajectory by using duplication vertices. Finally, we will demonstrate that our method is more effective to isotropic and anisotropic 2-dimensional triangulation mesh.
Genome-wide screening and analysis of imprinted genes in rapeseed (Brassica napus L.) endosperm

Abstract Species-specific genomic imprinting is an epigenetic phenomenon leading to parent-of-origin-specific differential expression of maternally and paternally inherited alleles. To date, no studies of imprinting have been reported in rapeseed, a tetraploid species. Here, we analysed global patterns of allelic gene expression in developing rapeseed endosperms from reciprocal crosses between inbred lines YN171 and 93275. A total of 183 imprinted genes, consisting of 167 maternal expressed genes (MEGs) and 16 paternal expressed genes (PEGs), were identified from 14,394 genes found to harbour diagnostic SNPs between the parental lines. Some imprinted genes were validated in different endosperm stages and other parental combinations by RT-PCR analysis. A clear clustering of imprinted genes throughout the rapeseed genome was identified, which was different from most other plants. Methylation analysis of 104 out of the 183 imprinted genes showed that 11 genes (7 MEGs and 4 PEGs) harboured differentially methylated regions (DMRs). Unexpectedly, only 1 MEG out of these 11 genes had a DMR that exhibited high CG methylation rate in paternal allele and had big difference between parent alleles. These results extend our understanding of gene imprinting in plants and provide potential avenues for further research in imprinted genes.
Experiments in Verification of Linear Model Predictive Control: Automatic Generation and Formal Verification of an Interior Point Method Algorithm

Classical control of cyber-physical systems used to rely on basic linear controllers. These controllers provided a safe and robust behavior but lack the ability to perform more complex controls such as aggressive maneuvering or performing fuel-efficient controls. Another approach called optimal control is capable of computing such difficult trajectories but lacks the ability to adapt to dynamic changes in the environment. In both cases, the control was designed offline, relying on more or less complex algorithms to find the appropriate parameters. More recent kinds of approaches such as Linear Model-Predictive Control (MPC) rely on the online use of convex optimization to compute the best control at each sample time. In these settings, optimization algorithms are specialized for the specific control problem and embed on the device. This paper proposes to revisit the code generation of an interior point method (IPM) algorithm, an efficient family of convex optimization, focusing on the proof of its implementation at code level. Our approach relies on the code specialization phase to produce additional annotations formalizing the intented specification of the algorithm. Deductive methods are then used to prove automatically the validity of these assertions. Since the algorithm is complex, additional lemmas are also produced, allowing the complete proof to be checked by SMT solvers only. This work is the first to address the effective formal proof of an IPM algorithm. Theapproach could also be generalized more systematically to code generation frameworks, producing proof certificate along the code, for numerical intensive software.
Nonreciprocal hybrid magnetoplasmonics

The Faraday effect describes the phenomenon that a magnetized material can alter the polarization state of transmitted light. Interestingly, unlike most light-matter interactions in nature, it breaks Lorentz reciprocity. This exceptional behavior is utilized for applications such as optical isolators, which are core elements in communication and laser systems. While there is high demand for sub-micron nonreciprocal photonic devices, the realization of such systems is extremely challenging as conventional magneto-optic materials only provide weak magneto-optic response within small volumes. Plasmonics could be a key to overcome this hurdle in the future: over the last years there have been several lines of work demonstrating that different types of metallic nanostrutures can be utilized to greatly enhance the magneto-optic response of conventional materials. In this review we give an overview over the state of the art in the field and highlight recent developments on hybrid plasmonic Faraday rotators. Our discussions are mainly focused on the visible and near-infrared wavelength regions and cover both experimental realizations as well as analytical descriptions. Special attention will be paid to recent developments on hybrid plasmonic thin film systems consisting of gold and europium chalcogenides.
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potential societal impact. Self-driving vehicles (SDVs) are expected to prevent road accidents and save millions of lives while improving the livelihood and life quality of many more. However, despite large interest and a number of industry players working in the autonomous domain, there still remains more to be done in order to develop a system capable of operating at a level comparable to best human drivers. One reason for this is high uncertainty of traffic behavior and large number of situations that an SDV may encounter on the roads, making it very difficult to create a fully generalizable system. To ensure safe and efficient operations, an autonomous vehicle is required to account for this uncertainty and to anticipate a multitude of possible behaviors of traffic actors in its surrounding. We address this critical problem and present a method to predict multiple possible trajectories of actors while also estimating their probabilities. The method encodes each actor’s surrounding context into a raster image, used as input by deep convolutional networks to automatically derive relevant features for the task. Following extensive offline evaluation and comparison to state-of-the-art baselines, the method was successfully tested on SDVs in closed-course tests.
Bifid Mandibular Canal: A Case Review and Retrospective Review of CBCTs

Purpose: This case presentation and retrospective review of cone-beam computed tomograms is to evaluate prevalence, classification, and demographics of bifid mandibular canals (BMC) to inform practitioners on this variation and avoid untoward complications due to failure to diagnose. Materials and Methods: Two thousand one hundred thirty scans were evaluated by 2 oral and maxillofacial radiologists. BMCs were noted and classified according to Naitoh. Demographic data were also collected and analyzed. Results: Twenty-eight patients were noted to have bifid mandibular canal, with an average age of 39 years (± 19.5), with no strong sex predilection. Patients (1.31%) were noted to have bifid canals. A greater percentage of patients were shown to have bilateral bifid canals (42.9%) versus either unilateral side (25% left, 32.1% right), but is statistically insignificant. Prevalence was greatest in types 1 and 3 (35.9% and 51.3%, respectively, P = 0.000011). Types 2 and 4 were much less common. Conclusion: BMCs are an important anatomic variation that has implications on any mandibular surgery, including implant surgery. Just more than 1% of patients have this variation, but failure to recognize this in a patient can result in poor outcome, as illustrated in the case presented.
TR-LBP: A modified Local Binary Pattem-based technique for 3D face recognition

In this paper, a novel technique has been introduced for 3D face recognition based on the modified local binary pattern extracted from a 3D range image. The new LBP technique is applied to shape index of 3D facial surface data. The novelty of this technique illustrates that a modified local binary pattern termed as Triangular Local Binary Pattern (TR-LBP), which gives new texture representation of 3D facial surface for improvement of facial texture classification performance compared to other variants of LBP. In this paper, authors have also described the TR-LBP technique by extending it on 2D intensity image of same subjects. Entropy-based feature extraction is used for feature vector creation. Further, KNN is used for calculating classification accuracy on two popular 3D face databases: Frav3D and Bosphorous. Here the classifications results are compared with other two existing LBP techniques applied to range images and shape index (SI) form of range image respectively.