Miracle-dz/UniFAR-FTUs huggingface dataset:
Waveform Difference Based Adaptive Restart Strategy for LCC-MMC Hybrid DC System

Hybrid high voltage direct current systems utilized for bulk-power transmission have recently attracted more attention. The overhead lines (OHLs) are mainly used for the implementation of such systems due to their outstanding economic advantages. However, OHLs are vulnerable to temporary faults, jeopardizing the safe and reliable operation of the network. The resiliency to the line faults is of considerable significance to the power transmission. This paper proposes a fault property identification strategy based on the Pearson correlation coefficient for the LCC-MMC hybrid HVDC system which can differentiate temporary and permanent faults. To achieve this, a voltage signal is injected into the faulty line by decreasing the firing angles of the LCC-based rectifier. Based on the established OHLs model and the injected signal, an estimated backward travelling wave can be accurately calculated. The fault property is identified by comparing the wave difference of the real backward travelling wave and the estimated backward travelling wave. The proposed strategy has a high accuracy since all influencing factors including the fault resistance, fault distance, and line parameters have been taken into account. Finally, to verify the efficacy of the proposed algorithm, several simulations have been performed using PSCAD/EMTDC. The simulation results show that the proposed algorithm can effectively distinguish the fault property.
An Underactuated Control System Design for Adaptive Autopilot of Fixed-Wing Drones

Effective design of autopilots for fixed-wing unmanned aerial vehicles (UAVs) is still a great challenge, due to unmodeled effects and uncertainties that these vehicles exhibit during flight. Unmodeled effects and uncertainties comprise longitudinal/lateral cross-couplings, as well as poor knowledge of equilibrium points (trimming points) of the UAV dynamics. The main contribution of this article is a new adaptive autopilot design, based on uncertain Euler–Lagrange dynamics of the UAV and where the control can explicitly take into account under-actuation in the dynamics, reduced structural knowledge of cross-couplings and trimming points. This system uncertainty is handled via appropriately designed adaptive laws: stability of the controlled UAV is analyzed. Hardware-in-the-loop tests, comparisons with an Ardupilot autopilot and with a robustified autopilot validate the effectiveness of the control design, even in the presence of strong saturation of the UAV actuators.
Distinguishing Convective-Transition Moisture-Temperature Relationships with a Constellation of Polarimetric Radio Occultation Observations in and near Convection

Convective transition statistics serve as diagnostics for the parameterization of convection in climate and weather forecast models by characterizing the dependence of convection on the humidity-temperature environment. The observed strong pickup of precipitation as a function of layer-averaged water vapor and temperature is captured in models with varying accuracy. For independent observational verification, a low-Earth orbiting satellite constellation of Global Navigation Satellite System (GNSS) polarimetric radio occultation (PRO) measurements would be spaced such that adjacent RO would capture different profiles within and immediately adjacent to convection. Here, the number of profile observations needed to distinguish between convective transition relations by different tropospheric temperature ranges is determined, over different tropical oceanic basins. To obtain these, orbit simulations were performed by flying different satellite constellations over global precipitation from the Global Precipitation Measurement (GPM) mission, varying the numbers of satellites, orbit altitude, and inclination. A 45-degree orbit inclination was found to be a good tradeoff between maximizing the number of observations collected per day, and the desired 50–150-km spacing between individual RO ray paths. Assuming a set of reasonable assumptions for net data yield, three tropospheric temperatures can be distinguished by 1 K with a six-month on-orbit duration from a constellation of at least three satellites.
Performance Assessment and Modeling of Routing Protocol in Vehicular Ad Hoc Networks Using Statistical Design of Experiments Methodology: A Comprehensive Study

The performance assessment of routing protocols in vehicular ad hoc networks (VANETs) plays a critical role in testing the efficiency of the routing algorithms before deployment in real conditions. This research introduces the statistical design of experiments (DOE) methodology as an innovative alternative to the one factor at a time (OFAT) approach for the assessment and the modeling of VANET routing protocol performance. In this paper, three design of experiments methods are applied, namely the two-level full factorial method, the Plackett–Burman method and the Taguchi method, and their outcomes are comprehensively compared. The present work considers a case study involving four factors namely: node density, number of connections, black hole and worm hole attacks. Their effects on four measured outputs called responses are simultaneously evaluated: throughput, packet loss ratio, average end-to-end delay and routing overhead of the AODV routing protocol. Further, regression models using the least squares method are generated. First, we compare the main effects of factors resulted from the three DOE methods. Second, we perform analysis of variance (ANOVA) to explore the statistical significance and compare the percentage contributions of each factor. Third, the goodness of fit of regression models is assessed using the adjusted R-squared measure and the fitting plots of measured versus predicted responses. VANET simulations are implemented using the network simulator (NS-3) and the simulator of urban mobility (SUMO). The findings reveal that the design of experiments methodology offers powerful mathematical, graphical and statistical techniques for analyzing and modeling the performance of VANET routing protocols with high accuracy and low costs. The three methods give equivalent results in terms of the main effect and ANOVA analysis. Nonetheless, the Taguchi models show higher predictive accuracy.
Ulva grossa sp. nov. (Ulvales, Chlorophyta) from Korea based on molecular and morphological analyses

A marine green algal species was collected from the eastern coast of Korea. This species shares the generic features of Ulva, and is characterized by irregularly shaped thalli, relatively small and thick thallus, entire undulate margins without serrations and one or two pyrenoids per cell. In a phylogenetic tree based on sequences of the nuclear-encoded internal transcribed spacer region (ITS) of ribosomal (r)DNA, it nests as a sister clade to some species including U. ohnoi with a relatively large thallus. This Korean alga differs from those species forming the same or subclades, such as U. ohnoi, U. fasciata, U. reticulata, and U. gigantean, in having a relatively small (3–8 cm) and thick (60–100 µm) thallus. Of these species, U. ohnoi originally described from Japan is similar to the Korean alga in having a more or less thick thallus of 30–90 µm, but is distinguished from the Korean species in often having microscopic serrations in the thallus margin. The genetic distance between this Korean entity and those species was calculated as 1.8–4.8%, which is considered to be an inter-specific divergence level with the genus Ulva. Ulva grossa sp. nov. (Ulvales, Chlorophyta) is described from Korea based on the morphological and molecular analyses herein.
Developing Reading Skills Through Green Curriculum Implementation as an Instructional Model

This paper aims to investigate the implication of implementing green curriculum as an instructional model to increase English reading skills of the third semester students of Animal Feed Technology study program of Livestock department in the State Polytechnic of Agriculture Kupang (Politani) – NTT province. Additionally, students’ perception on the application of green curriculum in increasing their reading skills also measured. For this purpose, the mixed method research design was applied as a mean to explore the information about students’ knowledge and skills on English reading text before and after the application of green curriculum learning innovation. There were two groups of students: the experimental group (was facilitated using green curriculum teaching approach) and the control group (received conventional teaching strategy). The study reveals that, the students who received the application of green curriculum as learning innovation achieved better reading skills than those who did not receive any application of such teaching innovation. They also agreed that green curriculum application increased, supported and encouraged their competence in reading English text.
Control of Tie-line Power Flow by Nonlinear Robust SMES Controller

A new control strategy for superconducting magnetic energy storage(SMES)is presented.The control strategy fully utilizes the flexibility of SMES in exchanging active and reactive power with power systems in four quadrants to control tie-line power flow.The objective is to synchronize centre of inertial of sending and receiving subsystems under transient conditions and quickly damp post-fault inter-area oscillation.Back-stepping method is used to derive control law for active power output of SMES.Proportional control is used for reactive power output of SMES.The designed controller is robust to model errors and bounded external disturbances.Computer test results on a four-machine two-area system demonstrate that the presented controller can effectively damp inter-area oscillation of power systems.
Sacroiliac joint pain after spinal fusion surgery ; effectiveness of sacroiliac joint injection

Background: Sacroiliac joint (SIJ) pain after spinal surgery is a common problem. The aim of this study is to report the frequency of new-onset SIJ pain after spinal fusion surgery and to evaluate the response to intra-articular SIJ injection. Subjects and methods: This is a prospective study including a total of 41 patients who had lumbar or lumbosacral fixation and fusion from June 2017 to December 2018 and developed postoperative SIJ pain that was not responding to conservative treatment and therefore underwent intra-articular SIJ injection. These patients were followed up for six months after injection. Patients were assessed with the visual analogue scale (VAS), the Oswestry Disability Index (ODI) and Odom’s criteria. Results: The mean age was 46.29 ±11.08 years and males presented 53.7%. Thirty-three patients (80.5%) had positive provocative tests and 27 patients (65.9%) had severe pre-injection pain with equal pre-injection VAS and ODI scores. There was a significant improvement in post-injection VAS and ODI scores (p<0.001). Excellent Odom’s criteria were achieved in younger patients (p= 0.039), and in patients with moderate pre-injection VAS/ODI scores (p<0.001). Thirty-two patients (78%) had a satisfactory response after three months. Conclusions: SIJ pain is common following spinal fusion surgery. Good to excellent improvement of disability and pain could be achieved within 3-6 months after intra-articular injection. SIJ Injection could be an effective option to improve the outcomes in patients who failed conservative medical management.
Is the avatar scared? Pupil as a perceptual cue

The importance of eyes for virtual characters stems from the intrinsic social cues in a person's eyes. While previous work on computer generated eyes has considered realism and naturalness, there has been little investigation into how details in the eye animation impact the perception of an avatar's internal emotional state. We present three large scale experiments (N≈500) that investigate the extent to which viewers can identify if an avatar is scared. We find that participants can identify a scared avatar with 75% accuracy using cues in the eyes including pupil size variation, gaze, and blinks. Because eye trackers return pupil diameter in addition to gaze, our experiments inform practitioners that animating the pupil correctly will add expressiveness to a virtual avatar with negligible additional cost. These findings also have implications for creating expressive eyes in intelligent conversational agents and social robots.
Empowerment and Job Commitment among Nursing Educators

One important factor in continuity of any organization is human resources that are considered by organizations' managers. Employee engagement and commitment are major success factors for the organizations. Empowerment heightens employees’ sense of personal control and motivates them to engage in work, which in turn results in positive managerial and organizational outcomes. Objective: To identify the relationship between empowerment and job commitment among nursing educators. Setting: The study was carried out at faculty of nursing in El-Minia University. Subjects: The study subjects included a total number of 80 nursing educators. Tool: Empowerment and Job Commitment Questionnaire was used to collect the necessary data. Results: A statistically significant positive weak correlation between empowerment and job commitment of the studied educators was revealed. Where, the studied educators had moderate level of empowerment and high level of job commitment. Conclusion: It can be concluded that self-determination was the highest ranked psychological empowerment dimension and workplace culture was the highest ranked structural empowerment dimension. Recommendations: It was recommended to develop trust, fairness, and better communication to nursing educators through good team working, respect for the roles and contributions of others.
Evaluating the flicker interference of fluctuating load

Voltage flicker will interfere with the power quality in distribution system resulting from load fluctuation. The flicker intensity detected on PCC is the total effect of all loads putting in PCC, that can't help to evaluate the interference of single load. The flicker interference injecting into system is relevant to the operating character of load which puts up as the correlation of voltage and current. So, it can't locate the flicker source just according to the voltage analysis. An evaluation method is proposed in this paper, which tracks the load impedance in lower frequency and then computes the flicker intensity of PCC resulting from the only load. Its feasibility is verified with a simulation case.
Testing for asymmetric cointegration of Italian agricultural commodities prices: Evidence from the futures-spot market relationship

The volatility of food prices still raises concerns among agricultural market players, increasing interest in the futures markets, thus calling for a better understanding of the connection between the futures and the Italian spot prices. This study uses symmetric and asymmetric vector error correction models to investigate the relationship between futures and spot prices for the Italian agricultural markets of soybean, corn, and milling wheat. The results confirm the leading role of the futures contract prices for all the considered commodities. Moreover, the non-linear cointegration analysis results suggest price transmission's asymmetries for all the agricultural commodity prices. This research provides critical insight into the shape of the futures-spot price transmission.
Study on Optimized Boiler Operation Control for Harmonized Coordination Between Economic Efficiency and Environmental Protection

Based on hot state test data of a certain coal fired 200MW block unit, predictive models for both boiler operation efficiency and pollutant emission have been developed with the help of artificial neural networks. According to the requirement of maximized profitability of power plant operation, optimization targets for harmonized boiler operation efficiency and environmental protection under three different conditions have been advanced. On the basis of these models and with the optimization target mentioned, and by using a genetic algorithm for optimizing every 2 minutes, the real time solution of the problem is found. With this algorithm at its core, by establishing a mutual interconnection with the boiler's DCS system, optimized monitoring control of boiler operation is attained, and with it, real time optimized control of both boiler efficiency and environmental protection. Herewith the unit's maximal profitability can be warranted.Figs 2, tables 3 and refs 9.
AI-Based Pipeline for Classifying Pediatric Medulloblastoma Using Histopathological and Textural Images

Pediatric medulloblastomas (MBs) are the most common type of malignant brain tumors in children. They are among the most aggressive types of tumors due to their potential for metastasis. Although this disease was initially considered a single disease, pediatric MBs can be considerably heterogeneous. Current MB classification schemes are heavily reliant on histopathology. However, the classification of MB from histopathological images is a manual process that is expensive, time-consuming, and prone to error. Previous studies have classified MB subtypes using a single feature extraction method that was based on either deep learning or textural analysis. Here, we combine textural analysis with deep learning techniques to improve subtype identification using histopathological images from two medical centers. Three state-of-the-art deep learning models were trained with textural images created from two texture analysis methods in addition to the original histopathological images, enabling the proposed pipeline to benefit from both the spatial and textural information of the images. Using a relatively small number of features, we show that our automated pipeline can yield an increase in the accuracy of classification of pediatric MB compared with previously reported methods. A refined classification of pediatric MB subgroups may provide a powerful tool for individualized therapies and identification of children with increased risk of complications.
Mycoremediation Potential of Synthetic Textile Dyes by Aspergillus niger via Biosorption and Enzymatic Degradation

Textile dyes that persist in the environment are highly resistant to the natural degradation processes that occur in the environment. Therefore, the present study isolated, identified, and optimized textile dye decolorization by fungi and elucidated the dye decolorization pathway to develop a low-cost biotechnological approach for decolorization and detoxification of textile dyes. Within 36 hours of incubation at temperatures ranging from 28 to 40°C, pH 7, and shaking at 100 rpm, Aspergillus niger MN990895, which was selected from a total of 77 fungal isolates, completely decolorized the model dye CI Direct Blue 201 (DB 201). A. niger biosorbed 8.4±1.2% of the dye used where live biomass showed complete dye removal. It was found that extracellular crude enzymes were more involved in DB 201 dye decolorization (72.7±3.3%) than intracellular crude enzymes. The enzymatic studies suggested that the primary enzyme involved in DB 201 textile dye decolorization was lacccase, which was further confirmed by the presence of distinct protein bands around 75-100 kDa on the SDS-PAGE. The FTIR spectra and seed germination assays confirmed that A. niger proved successful in DB 201 textile dye degradation and detoxification. The present study suggests that A. niger may have promising implications in the future for the development of an enzyme-based textile wastewater treatment system.
Mental Health and Self-Esteem among Faculty Nursing Students

The presence of positive mental health and self-esteem help nursing students to deal with the different events and daily problems and pursue their own goals in life. Consequently they can function effectively in the society. Objective: Determine the relationship between degrees of mental health and self-esteem among faculty nursing students. Setting: The present study was carried out at the faculty of nursing, Damanhour University. Subjects: Three hundred nursing students were randomly selected using simple random sampling method. Tools: Tools used comprised General Health Questionnaire (GHQ), Rosenberg Self-Esteem Scale (RSE) and Socio-demographic and academic characteristics questionnaire. Results: A high significant positive correlation was found between mental health and self-esteem (P=0.001). Male students have higher degree of mental health. Positive correlation was also found between students' satisfaction with choosing nursing as a profession and their mental health and self-esteem (P: 0.000 and 0.037, respectively). Conclusion: Faculty nursing students in general experience psychological well-being. However, a substantial proportion of them may be on the verge of facing psychological distress. Recommendations: Nursing students' degree of mental health and self-esteem should be assessed regularly, and the counseling services should be organized for students with low degrees of mental health and self-esteem.
Sodium Accumulation and Blood Capillary Rarefaction in the Skin Predispose Spontaneously Hypertensive Rats to Salt Sensitive Hypertension

Recent studies in humans and rats suggested that increased Na+ storage in the skin without parallel water retention may predispose to salt-sensitive hypertension. In the current studies, we compared tissue Na+ storage in salt sensitive spontaneously hypertensive rats (SHR) versus salt resistant normotensive Brown Norway (BN-Lx) rats. After salt loading (10 days drinking 1% NaCl solution), the SHR showed significant parallel increase in Na+-to-water as well as (Na++K+)-to-water ratios suggesting increased storage of osmotically inactive Na+ in the skin while no significant changes in skin electrolyte concentrations were observed in BN-Lx rats. SHR rats after salt treatment exhibited a nonsignificant decrease in skin blood capillary number (rarefaction) while BN-Lx rats showed significantly increased skin blood capillary density. Analysis of dermal gene expression profiles in BN-Lx rats after salt treatment showed significant up-regulation of genes involved in angiogenesis and proliferation of endothelial cells contrary to the SHR. Since the skin harbors most of the body’s resistance vessels it is possible that blood capillary rarefaction may lead to increased peripheral resistance and salt sensitivity in the SHR.
EVALUATION STUDIES ON SEEDLINGS OF SOME DATE PALMS GROWN IN EGYPT 2-EVALUATION AND SELECTION OF BARHI DATE PALM MALE SEEDLINGS UNDER ALEXANDRIA AREA CONDITIONS

Ten different date palm male genotypes were selected for evaluating the recommended pollinator for Barhi date palm cultivar grown in Egypt. This investigation was conducted during 2015 and 2016 seasons, at the Experimental station at El-Sabahiya, Alexandria Governorate Egypt. Spath weight with and without cover, length and width of spath with and without cover, space without strand per spath, number of strands and number of flowers per strand as well as pollen grains germination and viability percentages were determined for each male genotype. Data showed that two male trees (No. 6 and No. 7 genotypes) were superior in their morphological characters compared with the other male palms. On the other hand, there were no major differences in pollen grains viability percentage. The results of the molecular analysis of genomic DNA of the ten male palm seedlings showed that the total number of amplicons amplified by the nine primers was 184 with an average of 20.44 / primer. The polymorphism ranged between 75.0% and 100%, with an average of 92.54% polymorphism. Fifteen of these amplicons were monomorphic and 169 were polymorphic. Genetic similarity value ranged between 8.3% and 11.2%. The highest value (11.2%) was between genotypes No. 5, No. 1 and No. 3. The lowest value was recorded between genotype No. 10 and genotype No. 8. It is obvious that genetic similarity between the tested strains were very low, which may be attributed to their origin as seeds from open pollination.