Miracle-dz/UniFAR-FTUs huggingface dataset:
A Feed Additive Containing Encapsulated 6-Phytase within Recombinant Yarrowia lipolytica Cells Produced by Cultivation on Fat-Containing Waste

Feed phytases are purchased as a dry culture medium of secreting producers, mostly micellar fungi. These preparations are required to withstand heating up to 75–80 °C because they are intended for mixing with feed components with subsequent granulation by spray drying. For this reason, many phytases that have a high specific activity at 37 °C and correspond to the optimal pH of intestinal chyme are not used in practice. A novel expression system allowing accumulation of the phytase from Obesumbacterium proteus within yeast Yarrowia lipolytica was proposed. Encapsulation increases thermal stability of the enzyme from 55 °C up to 70 °C. The obtained preparation exhibited a high impact on the daily weight gain of a weaned mouse model fed a phosphorus-deficient diet at a dosage 165 phytase activity units (FYT)/kg, whereas a commercial phytase preparation—Ladozyme Proxi derived from Aspergillus ficuum—did not improve the daily weight gain even at the dosage of 15,000 FYT/kg.
Sustainable Health and Wellbeing in the European Union

Background Altogether, 17 Sustainable Development Goals (SDGs) are an urgent call for action to end poverty, protect the planet, and ensure prosperity for all. Goal 3 is crucial in terms of good health and wellbeing. The main aim of this study is to analyze and evaluate differences among indicators of SDG 3: Sustainable health and wellbeing in the EU countries. Methods The status and development of the EU Member States regarding their successes or failures in terms of Goal 3 were subjected to analysis. Altogether, 11 indicators were used to rank the EU countries using the TOPSIS and ranking methods. The ranks were assigned to the countries in two periods. The first period is related to the time from 2010 till 2014, and the second period from 2015 till 2019. Results The EU countries achieved a positive development in 10 of 11 indicators that monitor the achievement of the EU in terms of Goal 3. The only variable that changed negatively was the obesity rate. Positivity was observed in the decline of the standardized preventable and treatable mortality, which declined from 317.3 in the first period to 295 in the second period; the drop of the population weighted annual mean concentration of fine particulate PM2.5, from 16.4 to 13.6 μg/m3, and also in the increase of the share of people with good or very good perceived health, which was combined with a decrease of the self-reported unmet need for medical examination and care. The best-rated country in terms of SDG 3 was, in both periods, Sweden, while the worst-rated was Latvia. Conclusions Governments and institutions in the EU can intervene to increase the accessibility and quality of the health care system, but every citizen should try to do their best to reduce some of the risk factors, such as smoking or obesity, to try living healthier and to help to achieve higher ambitions in terms of sustainable health and wellbeing.
Sideband Vibration Suppression of Interior Permanent Magnet Synchronous Motors for Electric Vehicles under Multiple Operating Conditions

Low-frequency mechanical forces, electromagnetic forces of the medium frequency band, and high-frequency switching frequency current harmonics are three main sources of vibration for electric vehicle (EV) motors under multiple operating conditions (MOC). These high-frequency vibration sources with large amplitudes are main concentrated around the switching frequency and its integral multiples (sideband vibration). The theoretical expression and frequency characteristics for the high-frequency electromagnetic force that produces sideband vibrations were presented in this paper, and a new parameter x. (the current harmonic amplitude average value) was designed to represent the harmonic level of the current supplied by the inverter in sideband vibration band. Finite element simulations based on Simplorer-Maxwell-Vibration Harmonic Response and experiments under MOC verified the above theoretically derived characteristic-frequency band of high-frequency electromagnetic forces that generate sideband vibrations. To reduce sideband vibration, an optimized scheme combining active disturbance rejection control (ADRC) and random frequency space vector pulse width modulation (RFSVPWM) was proposed to further reduce the parameter x. and sideband vibration compared to traditional PI, ADRC and PI-RFSVPWM. Finally, the feasibility of this scheme for depression sideband vibration was verified by simulations under MOC.
The first report of Curvularia senegalensis causing leaf and floral spots on Zinnia elegans in Sri Lanka

Nursery-grown Zinnias (Zinnia elegans) in Peradeniya, Central Province, Sri Lanka showed necrotic, reddish-brown, circular to irregular-shaped, 1-2 mm diameter spots scattered over the leaves and ray florets which developed a whitish center with time. At the advanced stage, the necrotic spots merged, and the whole leaf/flower was infected. The fungus associated with the disease was identified as Curvularia senegalensis based on morphological and molecular data. Inoculated leaves produced necrotic symptoms and subsequent pathogen recovery was confirmed through Koch’s postulates. This study provides the first report of Curvularia senegalensis causing leaf and floral spots on Z. elegans in Sri Lanka.
Fuzzy Predictive Control and Its Application

This paper presents a new kind of control method——fuzzy predictive control(FPG) method.It connects fuzzy control theory with predictive control and completes the complex process terminal control.The excellent control qualities like resist-disturbance,self-adapt ability and robustness have been illustrated.This method is fit for the heavy-inertial,long-delay,nonlinear,high-order multivariable industrial process.Moreover,it can be direct the novice to operate in me man-machine system.The algorithm has made great success in the simulation study of the steelmaking control for an electric arc furnace.
Risk assessment of building damage induced by deep excavation

Assessing the potential damage risk of building damage induced by the ground settlement due to deep excavation is critical in deep excavation projects.Simplified criteria including “angular distortion” and “deflection ratio” have been proposed for this topic.However these methods do not reflect the diversity of building structures or the effects of nearby construction.A new risk damage assessment method was presented.It integrated ground settlement patterns,structure geometry,critical strains of building materials and well-known damage category criteria.Finally a case study about masonry building shows the whole risk assessment procedure.
Post-Lesbian Tensions: A Qualitative Inquiry of Lesbian Identity

This paper explores how lesbians aged 18 to 25 negotiate their sexual identity in relation to post-lesbian discourse. Post-lesbian discourse refers to the postmodern conceptualisation of lesbian identity as irrelevant, unnecessary, and minor because of increased acceptance of homosexuality and the popularity of queer theory and its deconstruction of identity categories. In three small focus groups with a total of 10 participants, we explored the themes of word usage, meanings, and associations, as well as exclusion, boundaries, and stigma. We found that our participants’ disdain and discomfort with the word “lesbian” does not result, as post-lesbian discourse would suggest, from its irrelevance but rather due to the old yet persisting stigmas towards lesbian sexuality. To mitigate these stigmas, most of our participants use gender-neutral terms, most notably the word “gay,” to describe themselves. Using relevant literature, we contextualise the usage of gender-neutral terms and analyse their often-overlooked negative impact on female and lesbian visibility. Moreover, we found that while participants wished to avoid the exclusion and specificity of lesbian spaces, they desired these spaces all the same, which had a positive effect on their identity formation, confidence, and sense of community.
The Effects of Speed-Modulated Visual Stimuli Seen through Smart Glasses on Work Efficiency after Viewing

It is known that subjective time and work efficiency are affected by visual stimuli. However, existing studies only consider the effects of visual information on the user during viewing and ignore the after effects. Using smart glasses lets users see visual information while moving until just before arriving at the office or school. We hypothesize that the user’s effects from the visual information they were looking at just before working or studying affects the subsequent work. Through two user studies, we investigated whether information presented on smart glasses affected subsequent work efficiency. In the first experiment, participants were presented with avatars running at two levels of speed, or no avatars, through simulated smart glasses in a virtual environment. They then solved a dot-clicking task on a desktop monitor. In the second experiment, we investigated whether the same effect could be shown while walking in the real environment, with a running and a fast-walking avatar both at the same speed in order to see the difference in the effects of the different movements. In the first experiment, we confirmed that the speed of later work tended to improve when presenting the running human-shaped avatar. From the results of the second experiment, which was conducted in the real environment, we did not confirm that the subsequent work speed varied depending on the type of avatar being displayed. As a reason for the trend of improvement in the task efficiency in the first experiment, observation of fast human motion may have unconsciously accelerated the observers’ body movement speed due to the mirror neuron mechanism. As a reason for why the work speed did not improve in the second experiment, the participants may be affected by other pedestrians and running cars. Additionally, it was difficult to see the images on the smart glasses while walking in the real environment.
A novel method for mobile robot simultaneous localization and mapping

A novel mobile robot simultaneous localization and mapping (SLAM) method is implemented by using the Rao-Blackwellized particle filter (RBPF) for monocular vision-based autonomous robot in unknown indoor environment. The particle filter combined with unscented Kalman filter (UKF) for extending the path posterior by sampling new poses integrating the current observation. Landmark position estimation and update is implemented through UKF. Furthermore, the number of resampling steps is determined adaptively, which greatly reduces the particle depletion problem. Monocular CCD camera mounted on the robot tracks the 3D natural point landmarks structured with matching image feature pairs extracted through Scale Invariant Feature Transform (SIFT). The matching for multi-dimension SIFT features which are highly distinctive due to a special descriptor is implemented with a KD-Tree. Experiments on the robot Pioneer3 showed that our method is very precise and stable.
LSTM-Based Attentional Embedding for English Machine Translation

In order to reduce the workload of manual grading and improve the efficiency of grading, a computerized intelligent grading system for English translation based on natural language processing is designed. An attention-embedded LSTM English machine translation model is proposed. Firstly, according to the characteristics of the standard LSTM network model that uses fixed dimensional vectors to represent words in the encoding stage, an English machine translation model based on LSTM attention embedding is established; the structure level of the English translation scoring system is constructed. A linguistic model of the English translation scoring system is established, and the probability distribution of a particular sentence sequence or word sequence of the translated text is statistically calculated using the model. The results show that the English machine translation model based on LSTM attention embedding proposed in this study can enhance the representation of the source language contextual information and improve the performance of the English machine translation model and the quality of the translation compared with the English machine translation models constructed by existing neural network structures, such as standard LSTM models, RNN models, and GRU-Attention translation models.
Trade Creation and Diversion Effects under the Free Trade Agreement between Peru and the United States: A Gravitational Analysis

This paper is oriented to quantify the trade creation and diversion effects in the Free Trade Agreement (FTA) between Peru and the United States. For that purpose, using a disaggregated database at the 10-digit level for Peruvian goods with intervals of 3-years between 2002 and 2018, this article adopts a three-dummy variable methodology that allows the identification of intra-bloc and extra-bloc effects. In addition, a theoretically-founded gravity equation is employed with the incorporation of country-time and time-invariant fixed effects in order to solve common econometric specification problems, such as lack of multilateral resistance terms in modelling, heteroscedasticity of trade data, inclusion of zero trade flows, and endogeneity of trade policy. Estimating with the PPML method for the complete sample and among types of goods (group 1: raw materials and intermediate goods, and group 2: consumer and capital goods), the main results show that the Peru-US FTA generates intra-bloc trade creation for the entire sample and two groups of goods separately. In addition, the FTA produces export trade diversion for the complete sample and group 2, while import trade creation for both groups. In overall, the Peru-USA FTA is an “intra-bloc trade creation agreement” that boosted bilateral trade flows. These effects are considered in order to formulate some policy recommendations for improving the results of this Peruvian FTA.
Changes in Envelope Structure and Cell–Cell Communication during Akinete Differentiation and Germination in Filamentous Cyanobacterium Trichormus variabilis ATCC 29413

Planktonic freshwater filamentous cyanobacterium Trichormus variabilis ATCC 29413 (previously known as Anabaena variabilis) can differentiate heterocysts and akinetes to survive under different stress conditions. Whilst heterocysts enable diazotrophic growth, akinetes are spore-like resting cells that make the survival of the species possible under adverse growth conditions. Under suitable environmental conditions, they germinate to produce new vegetative filaments. Several morphological and physiological changes occur during akinete formation and germination. Here, using scanning electron microscopy (SEM), we found that the mature akinetes had a wrinkled envelope, and the surface of the envelope smoothened as the cell size increased during germination. Thereupon, the akinete envelope ruptured to release the short emerging filament. Focused ion beam–scanning electron microscopy (FIB/SEM) tomography of immature akinetes revealed the presence of cytoplasmic granules, presumably consisting of cyanophycin or glycogen. In addition, the akinete envelope architecture of different layers, the exopolysaccharide and glycolipid layers, could be visualized. We found that this multilayered envelope helped to withstand osmotic stress and to maintain the structural integrity. Furthermore, by fluorescence recovery after photobleaching (FRAP) measurements, using the fluorescent tracer calcein, we found that intercellular communication decreased during akinete formation as compared with the vegetative cells. In contrast, freshly germinating filaments restored cell communication.
Slow Sport and Slow Philosophy: Practices Suitable (Not Only) for Lockdowns

Before the pandemic, our life was often described as fast, since in globalised society speed has been generally understood as a marker of efficiency, productivity and diligence; and so many people tended to live at a hectic pace. During lockdowns, however, many people have been forced to slow down, which some initially may have felt as a welcome contrast to the frenetic quality of pre-pandemic life. Nevertheless, lockdowns have coerced us towards slowness in unforeseen and often unwelcome ways, with unanticipated effects, whether desired or not, and whether desirable or not. Many people have found themselves confined to their homes for prolonged periods of time, sometimes unable to go out without a good reason relating to the sustenance of one’s life or the lives of close relatives. And so, one unfortunate side-effect of the pandemic is the inability to perform the usual kinds of movement activities, such as sports, exercises or other recreational activities (see Edgar 2021). More importantly, most of us have never experienced nor been trained to cope with prolonged periods of slowness. While some people may be used to having time to relax from the usual fast pace for a 60-minute session of yoga or taiji, most people have never chosen or planned a prolonged period of slow life, seeing no value in it. And so this is a suitable time to ask: what values can we find in these slow movement practices? We usually associate these practices with health promotion, maintenance of well-being, harmonization of the body and quietening of the mind. Whilst not minimising this kind of instrumental health-oriented approach, we think that slow practices have much more to offer. The awakening and mindfulness practices of yoga, taiji, qigong and other modes of relaxation or meditation, practices in a close intimacy with the natural environment, and other modes of wandering or roaming such cycling, pedestrianism, Nordic walking, etc., all eschew a ‘competitive sports’ ethos and offer different and various values to participants. However, the idea of the ‘slow life’ is not a phenomenon so recent as to be unknown before the pandemic. The ‘Slow Movement’ was initiated by Carlo Petrini in Italy in 1986, with the ‘Slow Food Movement’ as a reaction to the plan to open a McDonald’s fast food outlet in his town. He emphasized the eating of fresh, local, sustainable and ethical foods, prepared leisurely and with love, and consumed in the company of good friends and
A Reinforcement Learning-based Offload Decision Model (RL-OLD) for Vehicle Number Plate Detection

: Vehicle license number plate detection is essential for road safety and traffic management. Many existing systems have been proposed to achieve high detection precision without optimization of computer resources. Existing models have not preferred to use devices like smartphones or surveillance cameras because of high latency, data loss, bandwidth costs, and privacy. In this article, we propose a model of unloading decisions based on reinforcement learning (RL-OLD) for recognition and detection of vehicle license plates for high precision with optimization of computer resources. The proposed model detected different categories of vehicle registration plates by effectively utilizing edge computing. Our model can choose either the compute-intensive model of the cloud or the lightweight model of the local system based on the properties of the number plate. This approach has achieved high accuracy, limited data loss, and limited latency.
Boredom Proneness Predicts Self-Assessed Decision Errors in Sports but Is Unrelated to Risk Taking in General

Abstract Introduction: Boredom proneness is linked to poor self-regulation, leading to poor decision making and/or increased risk taking. These links have not yet been investigated in the domain of sports and exercise. However, poor decisions or excessive risk behavior would be highly detrimental to sporting performance and, in some cases, even cause physical harm. Here, we address this gap by assessing if boredom proneness is linked to general risk taking, sport-specific risk taking, and to regrets about sports-specific decision errors with respect to acting too risky or too passively. Methods: N = 936 athletes (27.6 ± 9.0 years, 89.6% men): n = 330 Climbers (31.8 ± 10.7 years, 82.4% men), n = 83 Snowboarders (29.9 ± 8.3 years, 79.5% men), and n = 523 Esports athletes (24.6 ± 6.3 years, 95.8% men) completed the Short Boredom Proneness Scale (SBPS), along with measures for objective risk taking (Balloon Analogue Risk Task; BART), subjective risk taking (general willingness to take risks), as well as assessments for sport-specific risk taking and regrets for sports-specific decision errors (taking too many risks, failing to act at all). In the two extreme sports samples (i.e., climbers and snowboarders), we additionally assessed self-selected outcome certainty in a hypothetical sports-specific scenario where an error would result in physical harm. Results: A series of multiple regression analyses revealed that boredom proneness was unrelated to objective and subjective general risk taking, but a significant predictor of sport-specific risk taking and higher risk taking in the sports scenario (climbers and snowboarders only). Most importantly, boredom proneness predicted regrets for taking too many risks and being too passive. Exploratory post-hoc analyses further indicated that boredom proneness in extreme sports athletes was lower than in esports athletes. Higher boredom proneness was significantly related to lower skill levels across all kinds of sport. Discussion: Across three athlete samples, boredom proneness was unrelated to general risk taking but significantly related to poorer decision making, as indicated by regrets about acting too risky and too passively, as well as demanding a significantly lower safety threshold to make a risky sports-specific choice. While at odds with the often-reported link between boredom proneness and risk taking, these results are consistent with the conceptualization of boredom proneness as a maladaptive self-regulatory disposition that leads to noisy decision making in sports. In addition, we provide preliminary evidence that boredom proneness covaries with self-selection into specific types of sports and might also stand in the way of skill acquisition in sports.
KANSEI-BASED DESIGN FOR AN INDONESIAN TRADITIONAL FOOD PACKAGING

One of the traditional specialties in Pariaman, West Sumatra, which is very famous, is sala lauak. Sala lauak is a dish in the shape of a thumb-sized lump made of fish dough that is mashed and collected with flour. Sala lauak specialties are in great demand by people within the region and outside the region. According to the Pariaman City government, sala lauak can be a souvenir for tourists with this potential. Pariaman City Government plans to develop sala lauak packaging. One way is to provide frozen sala lauak. However, currently, the frozen sala lauak packaging has not been developed by the Pariaman City Government. Whereas, unique, save, and attractive packaging is very important to increase the consumer purchasing power. Thus, this study designs frozen sala lauak packaging using a psychological approach based on consumers' feelings and emotions, namely Kansei Engineering. The design of frozen sala lauak packaging using the Kansei Engineering method uses 198 Kansei words, which are simplified into 19 Kansei words. The resulting packaging design consists of two design alternatives. Based on the design evaluation results using the Analytical Hierarchy Process (AHP) method, a design for frozen sala lauak packaging was selected. The packaging design chosen is in the form of a flat pouch in red, complete with product information and packaging attributes. The flat bottom packaging design gets a positive emotional response from consumers, so it is expected to increase consumer interest in buying sala lauak, especially as a tourist souvenir