Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive finite‐time control for turbo‐generator of power systems with prescribed performance

Control of turbo‐generator is facing great challenges resulting from more renewable energies injected into power systems, and it is still a challenging task to improve the accuracy and convergence speed when the operation point changes. In this paper, an adaptive finite‐time controller design is proposed for turbo‐generators in the presence of bounded disturbances and unknown system dynamics. Compared with existing methods, the finite‐time stability rather than asymptotic stability or uniformly ultimately bounded (UUB) can be guaranteed and prescribed transient performance can be achieved. First, the constant constraints on the system states and terminal sliding mode (TSM) manifold are proposed to enhance the transient performance. Furthermore, the uncertainties of the system are overcome by the neural network (NN), and both the bounded external disturbances and the reconstruction error of NN are handled by an adaptive term and a robust term. In addition, the important chattering‐free property could be achieved by the boundary layer. Finally, the finite‐time stability of the output in the system is rigidly proved via Lyapunov analysis, and the effectiveness of the theoretical result is substantiated by extensive simulations.
Assist system for remote manipulation of electric drills by the robot “WAREC-1R” using deep reinforcement learning

Abstract Operation of tools has long been studied in robotics. Although appropriate hold of the tool by robots is the base of successful tool operation, it is not with ease especially for tools with complicated shape. In this paper, an assist system for a four-limbed robot is proposed for remote operation of reaching and grasping electric drills using deep reinforcement learning. Through comparative evaluation experiments, the increase of success rate for reaching and grasping is verified and the decrease in both physical and mental workload of the operator is also validated by the index of NASA-TLX.
Producing a superior genotype from agria potato cultivar using somaclonal variation

This study was performed to produce a superior genotype from Agria potato cultivar using somaclonal variation. Two leaf and meristem explants in combination with four doses of 2,4-D (0, 2, 3 and 4 mg / l) were used for callus induction in a factorial model based on a completely randomized design with 3 replications. Results showed that the meristem explant, along with 3 mg 2,4-D produced the most suitable calluses. In the mentioned regeneration media, the best calluses were regenerated and one of the regenerated genotypes, which was very different from the parent cultivar was selected. The regenerated genotype, was compared with the maternal genotype (Agria) and a control cultivar (Sante), in a field experiment based on a randomized complete block design with 3 replications. The results showed that in terms of most of the studied traits such as tuber weight per plant, stolon length, percentage of dry matter and percentage of starch, the new genotype was superior, compared to the parent cultivar and in terms of peel percentage and maturity date, the parental cultivar was superior. The results of the molecular comparison also showed that based on CBDP marker, both in terms of band number and band size, there were differences between the new genotype and the parental cultivar. In general, results showed that somaclonal variation can be an effective method to generate new genotypes with superior characteristics.
MECHANICAL PROPERTIES OF POLYSULFONE-ZnO NANOCOMPOSITE MEMBRANE

Large quantities of wastewater are generated by the petroleum refining process. Micron-scale emulsion droplets and submicron droplets are difficult to remove from oil-refined wastewater, and addressing these issues has been a major challenge for researchers. Membrane technology is widely used in water treatment because it is very selective and effective in the filtration process. his research focuses on oil refinery water treatment using a polysulfone membrane (PSF)-nano-ZnO membrane with the addition of polyethylene glycol (PEG). This research aims to determine the PEG ratio that produces the optimum PSF-ZnO membrane in terms of mechanical properties, including thickness, tensile strength, and molecular weight cut-off (MWCO) value. The membranes with the optimum clearance were obtained at 3% PEG with a thickness of 0.0077 mm, Young's modulus of 8800 N/m2, and Morphological analysis was performed using the SEM (Scanning Electron Microscopy) method on the membrane which had the highest and lowest permeability values. The best membrane MWCO value was achieved by the addition of 19% PSF-nano-ZnO 1% wt at 5 minutes of UV irradiation. This shows that the addition of PEG composite affects pore openings. The membrane formed with variations in PEG concentrations affecting the thickness of the membrane. Higher concentrations make the membrane thicker, resulting in a higher Young’s modulus.
Active controllable spin-selective terahertz asymmetric transmission based on all-silicon metasurfaces

A strong spin-selective asymmetric transmission metasurface usually relies on a multilayer metal frame or compound all-dielectric system. By contrast, an all-silicon metasurface has advantages of simple process, low cost, and easy optical modulation. However, there is little work to explore the spin-selective asymmetric transmission in terahertz band based on the all-silicon metasurface due to weak interaction between all-silicon materials and terahertz waves. Herein, we have achieved excellent spin-selective terahertz asymmetric transmission in the all-silicon metasurface by the ingenious chirality structure design, and the maximum circular dichroism can reach 0.4. Meanwhile, 1064 nm continuous wave optical pumping modulates the asymmetric transmission amplitude of the all-silicon metasurface to achieve circular dichroism switch between “On” and “Off. ” We have also developed terahertz chiral imaging applications based on the all-silicon metasurface with spin-selective asymmetric transmission, and the chiral imaging with On and Off switching characteristics can be realized via optically active control.
Spatial Hearing Questionnaire: Psychometric Properties of Turkish Version and Correlations with Hearing Skills

Objective: Self-report questionnaire is informative to assess general hearing disability. The aims of this study were to investigate the reliability of Turkish version of spatial hearing questionnaire (SHQ) and to analyze the validity of the SHQ by the correlation with speech, spatial, and qualities of hearing questionnaire (SSQ) and Turkish matrix sentence test (TMST). Methods: The first part of the study was the psychometric properties of the SHQ with 192 participants (137 with normal hearing, 55 with hearing loss). In the second and main part of the study, we applied two questionnaires (SHQ and SSQ) and TMST to people other than those included in the first part of the study (88 participants with bilateral sensorineural hearing loss). We compared the results of these two questionnaires and the TMST with the speech discrimination (SD) scores. Results: Turkish spatial hearing questionnaire’s internal consistency was 0.94 and 0.97 for individuals with normal hearing and for individuals with hearing loss, respectively. Moderate, positive, statistically significant correlation was observed between the SHQ and SSQ (r = 0:606, p = 0:001 in individuals with hearing loss who do not wear any hearing aid, and r = 0:627, p = 0:001 in hearing aid users), and SHQ and SD (r = 0:561, p = 0:032 in hearing aid users). According to TMST, moderate, positive, statistically significant correlation was found between SSQ and adaptive TMST in individuals with hearing loss who do not wear any hearing aid (r = 0:330, p = 0:033 for S0N90 and r = 0:364, p = 0:018 for S0N270). Conclusions: Turkish SHQ is a valid and reliable questionnaire for assessing hearing functions. SHQ, SSQ, and TMST are clinically beneficial measuring tools in planning the process of hearing rehabilitation and follow-up.
Bias-Based Cyberbullying in Spanish Adolescents and Its Relation to Social and Emotional Competencies and Technology Abuse

Some studies suggest that sexual and ethnic-cultural minority groups are at high risk of cyberbullying, but almost all of them focused on general cyberbullying without including specific bias-based behaviors. This study analyzed psychometric properties of a bias-based cyberbullying measure, described prevalence rates of bias-based cyberbullying in ethnic-cultural and sexual majority and minority groups, and discovered if social and emotional competencies and technology abuse predicted bias-based cyberbullying. A survey was answered by a representative sample of 2,139 adolescents from Andalusia (Spain). The measure of bias-based cyberbullying was found to have good psychometric properties. Bias-based cyberbullying victimization and being a cyberbully/victim were common among the immigrants and sexual minorities. The majority group and Roma ethnicity showed similar prevalence rates, with more perpetration than the immigrants and sexual minorities. Social and emotional competencies were protective, and technology abuse was a risk factor for bias-based cyberbullying. Implications for policy and practice are discussed.
Drying of lithium-ion battery negative electrode coating: Estimation of transport parameters

Abstract Drying of the coated slurry using N-Methyl-2-Pyrrolidone as the solvent during the fabrication process of the negative electrode of a lithium-ion battery was studied in this work. Three different drying temperatures, i.e., 70˚C, 80˚C and 90˚C were considered. The drying experiments were carried out in a laboratory tray dryer at atmospheric pressure. Mass transfer coefficient and effective capillary diffusivity of the solvent during drying were estimated. A semi-empirical model was developed to estimate the parameters. In addition, different thin-layer empirical models were fitted to the experimental data, and the parameters were estimated using the best-fitted model. During the drying process, shrinking of the coating was considered while estimating the parameters.
Global Coordination in Plant Physiological and Rooting Strategies in Response to Water Stress

Plants employ a range of strategies to modulate the impact of water stress, including changes to rooting depth and hydraulic conductance (e.g., xylem conductance). However, it is still poorly understood how these strategies vary in relation to climate and land cover types and how they could coordinate globally. Based on daily microwave vegetation optical depth (VOD) from AMSR‐E and AMSR2 over 2002–2011, we estimate two proxies for stress regulation: (a) an effective plant rooting depth (Zr∗) and (b) the effective plant hydraulic conductance (Kplant∗) to delineate two strategies: deep rooting and strong physiological regulation. We find that plants with deeper Zr∗ (e.g., evergreen/deciduous broadleaf forest) are mostly distributed in warm or wet regions, and maintain a relatively steady nighttime VOD because of access to deeper water. Taller plants exhibit greater drop in daytime VOD due to their greater physiological vulnerability. While physiological regulation appears to be the dominant water stress regulation strategy at Northern high latitudes where open shrubland and (woody) savannas are distributed, this physiological regulation is coupled with deep rooting in forest and (woody) savanna areas in the tropics, Eastern US, and Southeastern China. Meanwhile, grasslands in the Western US, Central Asia, Northeastern China, and Mongolia Plateau may be the regions most susceptible to water stress impact because neither water stress mitigation strategy is present. This new framework paves the road for a better understanding of plant water stress strategies at the global scale, and for enhancing large‐scale drought prediction and drought impact assessment in Earth system models by improving plant water stress response.
An Assessment of Integration of MSMEs and CSA into Livestock Red Meat Value Chain: A Case Study of Kajiado County, Kenya

The livestock sector is a major contributor to food security, livelihoods, and is most affected by climate change, but is also a major contributor of GHGs. While climate-smart agriculture (CSA) has been adopted to mitigate the effects of climate change it has focused more on smallholder food crop producers with little attention to livestock production, and or entire food chains. MSMEs play a pivotal role in enhancing the ability of producers to engage with value chains, integrate women and marginalized groups, innovate, and are key drivers of community resilience, social adaptation, poverty reduction, and protection of livelihoods due to MSMEs’ greater adaptability and flexibility. Linking CSA to MSMEs within the livestock red meat value chains will strengthen the chains, improve incomes, reduce climate risks and increase resilience for pastoralists in ASALs. This study reveals that the red meat value chains in ASALs are still underdeveloped and fragmented, have little application of modern technologies and practices, unsustainable, and largely nomadic. Further, there is low integration of MSMEs and CSA due to actors’ low awareness Original Research Article Thongoh et al.; IJECC, 11(4): 1-17, 2021; Article no.IJECC. 68708 2 of the concept of CSA, limited capacity building on CSA, incentives, and policy instruments to integrate MSMEs thus leaving the value chains weak, inefficient, vulnerable to climate risks, and unsustainable. Adaption of sustainable practices can only come after the integration of actors, therefore there is a need to invest in context-based integration approaches, such as awareness and knowledge, affordable relevant modern technologies and practices, relevant policy instruments, and incentives to realize the CSA triple wins, and develop climate-resilient red meat value chains.
A Circuit for Simultaneous Reception of Data and Power Using a Solar Cell

This paper presents a circuit for simultaneous reception of optical power and data using a solar cell. The circuit employs a switched-inductor boost DC-DC converter for energy harvesting and a low-power thresholding receiver for data reception. The thresholding data receiver comprises a current-sense resistor that monitors the current output of the solar cell, an instrumentation amplifier, a band-pass filter and a comparator. A system-level analysis of an optical communication system employing the proposed circuit is presented along with a circuit-level analysis and implementation. As a proof-of-concept, the proposed circuit for simultaneous power and data reception is implemented using off-the-shelf components and tested using a custom-built test setup. Measurement results, including harvested power, electronic noise and bit error rate (BER), are reported for a GaAs solar cell and a red LED light source. Results show that 223 $\mu \text{W}$ of power are harvested by the DC-DC converter at a distance of 32.5 cm and a radiated power of 9.3 mW. At a modulation depth of 50% and a transmission speed of 2.5 kbps, a BER of $1.008\times 10^{-3}$ is achieved. Measurement results reveal that the proposed solution exhibits a trade-off between harvested power, transmission speed and BER.
Science Writing Intervention Research for Students With and At Risk for Learning Disabilities, and English Learners: A Systematic Review

Writing in science can be challenging for all learners, and it is especially so for students with cognitive or language-based learning difficulties. Yet, we know very little about how to support students with learning disabilities (LD) or who are English learners (EL) when asked to write for authentic purposes during science instruction. Therefore, we conducted a systematic review of 14 high-quality studies to identify effective writing instruction elements for students with LD, those who are EL, and for at-risk learners more generally. We analyzed the studies according to purpose, participants, dependent variables, and interventions. Then, we categorized instructional elements into two broad types of support: (a) cognitive skills and processes and (b) linguistic skills and processes. Quantitative analyses showed students (regardless of disability or language status) who received structured cognitive instruction on text features demonstrated substantial growth in writing. Conversely, although language in science differs from everyday language, it is absent from this literature. Thus, our findings provide insights into necessary cognitive and linguistic supports for these students, and implications for designing effective writing instruction.
Light-controlled bubble propulsion of amorphous TiO2/Au Janus micromotors

In this work, a bubble-propelled photoactivated amorphous TiO2/Au (Am-TiO2/Au) Janus micromotor has been demonstrated by utilizing the efficient photocatalytic H2O2 decomposition over the in situ H2O2 sensitized Am-TiO2 under UV irradiation. The power conversion of the micromotor experiences a process from UV light power, to chemical power and finally to mechanical power. The quantum efficiency of O2 bubble evolution from photocatalytic decomposition of H2O2 reaches 28%, and the power conversion efficiency reaches 1.28 × 10−9, which enables the micromotor to generate a strong bubble thrust propelling itself forward with a maximum speed of 135 μm s−1. The motion state and speed of the Am-TiO2/Au micromotors can be reversibly, wirelessly and remotely controlled at will with an ultrafast response rate (less than 0.1 s) by regulating “on/off” switch and intensity of UV irradiation. Consequently, the as-developed Am-TiO2/Au micromotors may promise potential challenging applications in such as “on-the-fly” adsorption and decomposition of pollutants in water.
Microkinetics of H2S Removal by Zinc Oxide in the Presence of Moist Gas Atmosphere

The microkinetics of H2S removal by ZnO desulfurization in H2O-CO2-N2, H2O-CO-N2 andH2O-O2-N2 gas mixtures was studied by thermogravimetric analysis. Experiments were carried out with100 120 mesh ZnO powder at temperatures from 473 K to 563 K. The results show that the kineticbehaviors of desulfurization could all be described by an improved shrinking-core model. The activationenergies of the reaction and the diffusion in different gas atmospheres were estimated.
The impact of language brokering frequency and psychological health on academic motivation and learning strategies of university students in the United States

ABSTRACT Previous research studying language brokers (i.e. children/adolescents who translate for family members) has indicated some positive correlations between frequent language brokering and gains in cognitive development, although little of this research has been conducted on language brokers during the university/higher education years. At the same time, there is evidence documenting elevated levels of depression and anxiety in brokers who translate frequently, which may undermine positive cognitive developments. The purpose of this study was to examine the impact of accumulated brokering frequency on academic motivation and learning strategies in United States university students, while accounting for psychological health symptoms. Greater brokering experience uniquely predicted increases in academic motivation and learning strategies. In particular, these relations were driven by greater value components (i.e. intrinsic and extrinsic goal orientation, task value understanding) and cognitive and metacognitive strategy use. This suggests greater self-regulated learning abilities in the university setting for language brokers with more translation experience. The brokers’ reported psychological health symptoms did not interact with these positive correlations. Overall, these findings help to more directly understand the context of the language broker in higher academia and the impact on cognitive outcomes during this important transition into adulthood.
Marine ecoregions and subecoregions within Indo‐West Australian waters: A statistical approach based on species distributions

The Marine Ecoregions of the World (MEOW) system delineates the oceans into 232 ecoregions. Here, we aimed to evaluate the suitability of this system to represent species distributions within Indo‐West Australian waters, explore alternative ecoregions and new subecoregions and investigate environmental variables that are correlated with species distributions within those waters.
Dynamics of Zinc and Zinc-Enriched Organic Manures in Soils of Tamil Nadu

A greenhouse experiment was conducted on two deficient Typic Ustorthent and Vertic Aquic Ustropept using rice as the main crop and green gram as the residual crop to study the effect of Zn-enriched organic manures on the dynamics of zinc in soil and plant. Higher levels of zinc (5.0 mg Zn kg−1) and its enrichment with organic manures (Composted coirpith + green leaf manure) increased the yield, amount of zinc present in water soluble and exchangeable, complexed, organically bound and occluded forms, DTPA-Zn status and Zn content in:the plants. Increasing Zn additions with organic manures also resulted in a significant residual effect on the subsequent crop.
Nitrification Process in a Nuclear Wastewater with High Load of Nitrogen, Uranium and Organic Matter under ORP Controlled

To produce nuclear fuels, it is necessary to convert uranium′s ore into UO2-ceramic grade, using several quantities of kerosene, methanol, nitric acid, ammonia, and, in low level, tributyl phosphate (TBP). Thus, the effluent generated by nuclear industries is one of the most toxic since it contains high concentrations of dangerous compounds. This paper explores biological parameters on real nuclear wastewater by the Monod model in an ORP controlled predicting the specific ammonia oxidation. Thermodynamic parameters were established using the Nernst equation to monitor Oxiders/Reductors relationship to obtain a correlation of these parameters to controlling and monitoring; that would allow technical operators to have better control of the nitrification process. The real nuclear effluent is formed by a mixture of two different lines of discharges, one composed of a high load of nitrogen, around 11,000 mg/L (N-NH4+-N-NO3−) and 600 mg/L Uranium, a second one, proceeds from uranium purification, containing TBP and COD that have to be removed. Bioprocesses were operated on real wastewater samples over 120 days under controlled ORP, as described by Nernst equations, which proved to be a robust tool to operate nitrification for larger periods with a very high load of nitrogen, uranium, and COD.