Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Bandwidth Tracking Control of Piezoactuated Nanopositioning Stages via Active Modal Control

Due to the lightly damped resonance and intrinsic nonlinearities, it is difficult for the piezoactuated nanopositioning stage to realize high-bandwidth and high-accuracy control. To handle these limitations, in this work, a dual-loop control scheme based on state-feedback-based modal method is designed to both actively damp and stiffen the resonant mode and to suppress the effects of nonlinearities of the piezoactuated nanopositioning stage. In this scheme, the state-feedback-based modal controller is first designed in the inner loop to enlarge both the damping ratio and natural frequency of the first resonant mode. Then, a proportional–integral (PI) controller is utilized in the outer loop for eliminating the tracking errors caused by other disturbances and nonlinearities including hysteresis and creep. To maximize the control bandwidth of system under the proposed dual-loop scheme, an optimization method is thus proposed for simultaneously tuning the parameters of the inner and the outer loop controllers. Finally, to validate the proposed dual-loop control scheme, comparative experiments are carried out on a piezoactuated nanopositioning stage. Results demonstrate that the proposed control scheme improves the bandwidth of the system from 497 Hz (with PI control) and 1543 Hz (with a commonly used positive acceleration, velocity, and position damping control and a PI controller) to 6546 Hz, which is 664 Hz larger than the first resonant frequency of the original system, validating the effectiveness of the proposed dual-loop scheme on high-bandwidth control. Note to Practitioners—The demand of high-bandwidth and high-accuracy piezoactuated nanopositioning stages increases rapidly. However, the lightly damped resonance of the mechanism and the intrinsic nonlinearities of the piezoelectric actuator limit the tracking performance of the stage. A dual-loop control structure is adopted in this work to improve the tracking performance of the nanopositioning stage. Different from most of the vibration control methods proposed in the literature which aimed only at improving the damping ratio, a state-feedback-based modal controller is designed in the inner-loop for improving both the damping ratio and the stiffness of the system. This task is realized by re-placing the resonant poles of the system to the optimized location. The outer-loop controller adopts the high-gain PI control for eliminating the tracking errors. More importantly, in order to realize the high-bandwidth and high-accuracy control, a numerical optimization method is proposed for simultaneously tuning the parameters of the controllers in inner and outer loops. The controller design is simple, and it can be applied to other systems with second or higher order in which the first resonant mode dominates the system dynamics.
Post-harvest conservation of Passiflora alata fruits under ambient and refrigerated condition

Brazil is one of the main diversity centers of the genus Passiflora, from where genetic resources of great importance have been obtained, characterized and used in the Brazilian Passiflora Breeding Program (Cerqueira-Silva et al., 2016). The species P. alata Curtis is native to Brazil, where it finds excellent ecological conditions for its development. Ots fruit, rich in minerals and vitamins, is appreciated for the quality of its pulp, pleasant aroma and taste, as well as its pharmacological properties. Sweet passion fruit is consumed “in natura”, due to its tasty and sweet pulp (Lawinscky et al., 2014). Thus, the cultivation in Brazil is directed to the high valued fresh fruit market (Osipi et al., 2011).
A Forward-Collision Warning System for Electric Vehicles: Experimental Validation in Virtual and Real Environment

Driver behaviour and distraction have been identified as the main causes of rear end collisions. However a promptly issued warning can reduce the severity of crashes, if not prevent them completely. This paper proposes a Forward Collision Warning System (FCW) based on information coming from a low cost forward monocular camera for low end electric vehicles. The system resorts to a Convolutional Neural Network (CNN) and does not require the reconstruction of a complete 3D model of the surrounding environment. Moreover a closed-loop simulation platform is proposed, which enables the fast development and testing of the FCW and other Advanced Driver Assistance Systems (ADAS). The system is then deployed on embedded hardware and experimentally validated on a test track.
The Preventive Effect of Remin Pro and Neutral Sodium Fluoride on Erosion of Dental Enamel: An In Vitro Study

Background and Aim: Carbonated diet soda is the most common etiologic factor for dental erosion, and fluoride products have been proposed as an option for the prevention of that problem. This study evaluated the effect of Remin Pro and neutral sodium fluoride on the prevention of dental enamel erosion using profilometry. Materials and Methods: This study was conducted using an experimental-laboratory method on 20 extracted premolars with no corrosion, abrasion, crack or hypocalcification. For a proper evaluation, the buccal aspect of each specimen was polished using 800to 1200and 2500-grit silicon carbide papers. Enamel was analyzed by surface profilometry. Samples were randomly allocated into two groups of Remin Pro and neutral sodium fluoride for pretreatment. After pretreatment, the surface roughness of enamel was measured. In the third stage, the samples were exposed to cola, rinsed with deionized water, and stored in artificial saliva, and surface loss and roughness were measured. Independent samples t-test and repeated measures analysis of variance (ANOVA) were used to analyze the data. Results: According to the results of this study, neutral sodium fluoride foam and Remin Pro reduced enamel erosion. The mean surface roughness after pretreatments with Remin Pro and neutral sodium fluoride foam was less than that after polishing (P=0.004) and exposure to acid (P=0.026). Conclusion: Neutral sodium fluoride foam and Remin Pro have the same effect on preventing dental erosion.
ESTIMATION OF CEPHALOSPORINS (CEFTRIAXONE, CEFTAZIDIME) ANTIBIOTICS AS PURE AND PHARMACEUTIC FORMS BY COLOR PRODUCED REACTION IN UV-VIS SPECTROPHOTOMETIC TECHNIQUE

A new simple, accurate and low cost-effective UV-VIS spectrophotometric methods has been developed for the analysis of chosen cephalosporins (ceftriaxone, ceftazidime) in bulk samples and pharmaceutical dosage forms by using a specific color-generated reaction. This method involves the Schiff 's base formation reaction between selected cephalosporins with alcoholic 5-sulfo salicylaldehyde reagent 5SSA with heating to establish a yellow colored product displaying λmax at 426 nm as well as 412 nm sequentially. These methods applied to the Beer’s law through the range of concentration was (4 - 60 µg.ml-1), (5 -50µg ml-1) respectively for two drugs. The analysis results for these studies have been tested statistically by the studies of recovery. These methods were successfully applied to the determination of the cephalosporins in bulk form and in Pharmaceuticals additionally it was shown that these methods have equivalent accuracy with the common method(BP)estimation procedures for the studied drugs. The interferences from frequently taken excipients were no influence on the estimation process . The study could discover a good as an employment cost-influence and speed method which that possibility used for making quality control for these cephalosporin antibiotics.
“the Green Paradox Phenomenon: A European Union Empirical Application”

The green paradox describes an undesirable and socially inefficient phenomenon caused by the expansionary reactions of the Supply as a response to the various mechanisms that combat climate change. This article seeks to understand and aggregate the different drivers of this phenomenon portrayed in the literature, as well the empirical evidence associated and the proposed solutions. For this purpose, compilation and systematization of the various scientific contributions up to date in this context have been elaborated, which led to the identification of five major drivers of the paradox: (i) Environmental Taxes, (ii) Green Supports, (iii) Uncertain Property Rights, (iv) Temporal Lag and (v) Emission limits (Cap). Moreover, we evaluate its effective impact on the European scenario in the last two decades, and we have obtained evidences that the hiatus in the implementation of the European emission cap mechanism has generated a strong green paradox. Moreover, a robust reflection regarding the economic and environmental adequacy of green supports should be considered due to its questionable net benefits. Lastly, we offer some recommendations of public environmental policies that escape the paradoxical phenomenon, through the enunciation of the conditionalities of these provocateurs.
Model based mask process correction for EUV Mask

Mask process correction (MPC) played a key part improving yield in 14 nm technology node and below using deep ultraviolet lithography (DUVL). Extreme ultraviolet lithography (EUVL) is entering an industry production phase for 7 nm logic and is under development for next node logic and memory applications. A key benefit of EUVL for logic interconnect lithography comes from the ability to pattern layers at aggressive pitch using a single exposure. Mask critical dimension targeting was found to be a critical factor for yielding wafer process, MPC will be necessary to correct for mask process errors. This paper will focus on building MPC models for EUV mask processes exposed on a variable shape beam lithography tool.
Translating the learning sciences into practice: A primer for clinical and translational educators

Abstract The learning sciences have yielded a wealth of insights about the mechanisms and conditions that promote learning, yet the findings from this body of research often do not make their way into educational practice. This fundamentally translational problem is one we believe that educators from translational fields, with their evidence-based orientation and familiarity with the challenges and importance of translation, are well-positioned to address. Here, we provide a primer on the learning sciences to guide educators in the Clinical and Translational Science Institutes and other organizations that train translational researchers. We (a) describe the unique teaching and learning environment in which this training occurs, and why it necessitates attention to learning research and its appropriate application, (b) explain what the learning sciences are, (c) distill the complex science of learning into core principles, (d) situate recent developments in the field within these principles, and (e) explain, in practical terms, how these principles can inform our teaching.
The Automatic Analysis of Emotion in Political Speech Based on Transcripts

ABSTRACT Automatic sentiment analysis is used extensively in political science. The digitization of legislative transcripts has increased the potential application of established tools for the automated analyses of emotion in text. Unlike in writing, however, expressing emotion in speech involves intonation, facial expressions, and body language. Drawing on a new dataset of annotated texts and videos from the Canadian House of Commons, this paper does three things. First, we examine whether transcripts capture the emotional content of speeches. We find that transcripts capture sentiment, but not emotional arousal. Second, we compare strategies for the automated analysis of sentiment in text. We find that leading approaches performed reasonably well, but sentiment dictionaries generated using word embeddings surpassed these other approaches. Finally, we test the robustness of the approach based on word embeddings. Although the methodology is reasonably robust to alternative specifications, we find that dictionaries created using word embeddings are sensitive to the choice of seed words and to training corpus size. We conclude by discussing the implications for analyses of political speech.
Exploring the social-ecological factors related to physical activity participation among Black, Asian and minority ethnic immigrants.

Despite the health benefits of physical activity (PA), participation rates Black, Asian and minority ethnic (BAME) adults in the United Kingdom (UK) are low in comparison to the general population. This study aimed to explore the social-ecological factors related to PA participation among BAME immigrants. Methods: Semi-structured interviews were carried out with 12 purposively selected adults from the BAME populace residing in one postcode district of a city in southern England. Results: The two main themes that developed from this study demonstrated that the barriers to PA participation among BAME were perceived to exist at intrapersonal and environmental (social and physical) levels. Originality: Prominent barriers included intrapersonal factors such as deportation fear and cultural beliefs; and environmental factors such as the cost of accessing PA facilities. Length of residency appeared to be related to increased PA. Research implications: Understanding these unique social-ecological factors may assist in intervention development. Exploring the social-ecological factors related to physical activity participation among Black, Asian and minority ethnic immigrants.
Phytochemical Screening and Antioxidant Properties of Coagulants and Soft Cheese Produced from Goat Milk Using Different Biocoagulants of Plant Origin

The nutritional importance and easy accessibility of soft cheese has made it indispensable. This study assessed the phytochemical constituents and the effects of antioxidant of biocoagulants used in soft cheese produced from goat milk. Different biocoagulants such as Calotropis procera, Carica papaya, lemon juice and steep water from cereals (maize, millet, and sorghum) were used. The results of the antioxidant properties revealed that Carica papaya had the highest ferric reducing property and displayed better DPPH scavenging activity of 14.94 mg AAE/g and 10.82%, respectively, when compared with other biocoagulants. Also, the results of phytochemical screening revealed that cheese coagulated with Carica papaya displayed the highest DPPH scavenging activity (1.93%) compared with other cheese samples. Cheese coagulated with lemon juice had the highest phenol content (19.88 mgGAE/100g) and also displayed the highest ferric Original Research Article Ogunlade et al.; AFSJ, 7(1): 1-8, 2019; Article no.AFSJ. 45699 2 reducing property (10.31mg AAE/g). Cheese coagulated with steep water from millet had the highest flavonoid content (0.20 mgGAE/100g) and cheese coagulated with Calotropis procera had the highest alkaloid content (13.42 (mgGAE/100 g). Therefore, cheese produced from goat milk coagulated with Carica papaya or lemon juice may be incorporated into the daily diet because of its high phenolic content which can improve the health status of the consumers. It also possesses some natural antioxidant compounds, which can effectively scavenge free radicals.
Discretionary maternal citizenship: state hegemony and resistance of single marriage migrant mothers from mainland China to Hong Kong

ABSTRACT This article contributes to the scholarship on marriage migration and citizenship by drawing attention to an under-studied group of single marriage migrant mothers who are widowed, divorced, or separated from their citizen-husbands. It examines the ways in which nation-states regulate the dissolution of cross-border marriages and allocation of citizenship rights to single marriage migrant mothers. Drawing on the experiences of 25 mainland Chinese single marriage migrant mothers, this article unravels the dynamic process of citizenship negotiation between top-down state hegemony and single marriage migrant mothers’ bottom-up resistance to the exclusionary immigration system in Hong Kong by claiming maternal citizenship through state discretion. As the article illuminates how discretion has been used as a strategic mechanism by both the state and single marriage migrant mothers to negotiate the boundaries and substance of citizenship, it offers insights into how the family becomes a critical site where citizenship is experienced, negotiated, and contested.
Immediate Implants with Early Loading Accompanying Autogenous Bone Grafting in a Maxilla with Periodontal Destruction: A Case Report

In the case of multiple hopeless teeth and severe bone loss, a conventional healing protocol of 3–4 months has been recommended to prevent the possibility of infection or unpredictable resorption of grafted bone during consolidation of the extraction socket. The use of a provisional denture is inevitable in the case of delayed implant placement, which is a common risk factor for wound dehiscence after a bone graft. Although autogenous bone is still the gold standard for bone grafting because of its excellent biocompatibility and osteogenic potential, there has been controversy in the unpredictable resorption of autogenous bone grafting. We present a case of successful maxillary rehabilitation without the use of provisional dentures by immediate implant placement, with early loading accompanying an extensive autogenous bone graft.
A non-negative matrix factorization based clustering to identify potential tuna fishing zones

Many nonnegative matrix factorization based clusterings are employed in discovering pattern and knowledge. Considering the sparseness nature of our data set about the daily tuna fishing data, we attempted to utilize a clustering approach, which is based on non-negative matrix factorization. Adding sparseness constraint and assigning good initial value in the modified NMF method, a proposed algorithm Direct-NMFSC yielded better result cluster compared to other methods which are also utilizing sparse constraint to their approaches, SNMF and NMFSC. The result of this study shows that Direct-NMFSC has 5.376 times of iteration number less than NMFSC in average with 531.97 as the CH index result. The determination of potential fishing zones is one of the essential efforts in the potential fishing zone mapping system for tuna fishing. By means of this novel data-driven study to construct the information and to identify the potential tuna fishing zones is done. We also showed that utilizing the Direct-NMFSC can spot and identify the potential tuna fishing zones presented in red cluster that covers both the spatial and temporal information.
The MPC meetings, macroeconomic announcements and exchange rate behaviour in Nigeria

Abstract Literature recognise that announcement impinge shocks which could shift the mean behaviour of the exchange rate. This study apply event driven models to analyse how the expectation of daily log-exchange rate and its daily log-return respond to all the 88 MPC meetings and selected CBN’s announcements that “contained information on exchange rate stabilisation” from 2 January 2005 to 25 September 2020. We establish that the log-exchange rate responds to the announcements, with and without the MPC meetings. The exchange rate is expected to depreciate in all the three days before, on the announcement day, and all the three days after the announcement. There is no sufficient evidence that either the MPC meeting or CBN announcement affects the behaviour of the log-return. Hence, unlike the MPC meetings, the announcements affects the exchange rate but not its return. We expect market participants to consider these findings in making forex decisions, and the central banks in the formulation of monetary policy.
Energy Efficiency and Decarbonization in the Context of Macroeconomic Stabilization

Decarbonization is an activity aimed at reducing greenhouse gas emissions to limit climate change and global warming. Ensuring macroeconomic stabilization is the basis for ecological action. The question is whether macroeconomic stabilization helps companies, institutions and countries act for decarbonization. This article presents research on the impact of components of macroeconomic stabilization on decarbonization and energy efficiency in the largest greenhouse gas emitters in the European Union from 1990 to 2020. We focus on the following countries, France, Germany, Italy, Poland and Spain. The contribution to knowledge is using the pentagon of macroeconomic stabilization to assess macroeconomic stabilization’s impact on decarbonization and energy efficiency. According to the correlation coefficients, the Ordinary Least Squares and the Seemingly Unrelated Regression method, there is a statistically significant impact of components of macroeconomics stabilization on decarbonization and energy efficiency. Moreover, our models show a different strength and direction of relationships between the explained and explanatory variables. Research results confirm the necessity to coordinate the macroeconomic with environmental policy. We think that it is essential to use effective tools of economic support (European Union Emissions Trading System, environmental taxes) and greater pressure from European Union institutions on countries that emit harmful substances.
Microfluidic Extractive Crystallization for Spherical Drug/Drug-Excipient Microparticle Production

Granulation is a common manufacturing step for pharmaceutical drug products, which improves powder flowability, compactibility, and ensures tablet content uniformity. Granules of uniform content can conventionally be challenging to obtain due to powder segregation and mixing issues prior to granulation. Spherical crystallization—a method where drug crystals are directly formed into spherical granules—is a promising way to overcome issues with mixing and form granules with uniform content. However, a common challenge of existing quasi emulsion solvent diffusion or solvent extraction methods for spherical crystallization involving miscible solvents in stirred batch vessels is the coarse control over particles sizes, as they are sensitive to multiple scale-up factors (mixing efficiency, impeller and vessel geometry, inlet configuration). This limits the method in terms of content uniformity, which in turn limits the extent to which granules with tunable dissolution profiles can be created. Here, we propose a.
Effects of pomegranate (Punica granatum L.) barks of root and stem (alcoholic extract) on the viability and fatty acids content of Echinococcus granulosus protoscolices in vitro study

The present study was aimed to determine the scolicidal effect of stem and root alcoholic extract of Punica granatum L. (Pomegranate) on the viability and fatty acids content of Ecinococcus granulosus protoscolices. The study elucidate the scolocidal effect of both stem and root extracts. Its seemed that the scolocidal effect of root extract was higher than that of stem extract ie. LC50 and LC90 of stem extract were 5 and 9 mg/ml respectively while LC50 and LC90 of root extract were 3 and 8 mg/ml respectively. GLC analysis of E. granulosus protoscolices was stated presence of nine fatty acids esters, which were Lauric (C12:0); Myrisitic (C14:0); Palmatic (C16:0); Stearic (C18:0); Archidic (C20:0); Behenic (C22:0), which were saturated fatty acids, and Oleic (C18:1); Linoleic (C18:2); Linolenic (C18:3) which were unsaturated fatty acids. Treating E.granulosus protoscolices with LC50 of pomegranate stem bark was showing slight and swing effect on fatty acid content, while treated the protoscolices with LC50 of root bark were resulted in obvious increase in short length fatty acids like Lauric, Myrisitic and Palmatic in compare with control group. In contrast the long chain fatty acids concentration like Oleic, Linoleic and Linolenic were decrease.