Miracle-dz/UniFAR-FTUs huggingface dataset:
Advancements in Insect-Cell Baculovirus Expression Vector Platform for Production of Recombinant Adeno-Associated Virus-Based Gene Delivery Vectors

Despite rapid progress in the field, scalable high-yield production of AAV is still one of the critical bottlenecks the manufacturing sector is facing. The insect cell-baculovirus expression vector system (IC-BEVS) has emerged as a mainstream platform for a scalable production of recombinant proteins with clinically approved products for human use. In this review, we provide a detailed overview on advancements in IC-BEVS for rAAV production. Since the first report of baculovirus induced production of rAAV in insect cells in 2002, this platform has undergone significant evolutions. The original three baculovirus system was improved to enhance expression stability and further streamlined to reduce the number of baculoviruses to two and eventually one. The one baculovirus system consisting of an inducible packaging insect cell line was further improved to enhance the AAV vector quality and potency. In parallel, implementation of advanced manufacturing approaches and control of critical processing parameters have demonstrated promising results with process validation in large scale bioreactor runs. Moreover, optimization of molecular design of vectors to enable higher cell-specific yield of functional AAV particles in combination with bioprocess intensification strategies may further contribute to addressing current and future manufacturing challenges.
Introduction to Sea Animals With Augmented Reality Based Flashcard for Early Childhood

So far, the subject of knowing sea animals in early childhood education has only been taught by teachers using books, magazines and pictures, so that early childhood still does not show interest in learning. This study aims to provide an overview of the use of augmented reality-based flashcard media in the introduction of sea animals in early childhood, so that later it can provide real pictures of various kinds of sea animals. The research method used is a qualitative approach research method. The data collection method used is the literature study method. The desired data analysis technique is using qualitative descriptive. The research results obtained in this study are augmented reality based flashcard media which is a technology that combines virtual objects with the real world in real time which can provide a real picture of various kinds of sea animals, making it easier for early childhood to recognize various kinds of sea animals. In addition, flashcard media using augmented reality technology as a learning aid can attract children's enthusiasm and focus. From the results of the research obtained, it can be concluded that augmented reality-based flashcard media can make it easier for teachers and parents to provide an understanding of sea animal.
Doubling of future Greenland Ice Sheet surface melt revealed by the new CMIP6 high-emission scenario

<p>Future climate projections show a marked increase in Greenland Ice Sheet (GrIS) runoff<br>during the 21st century, a direct consequence of the Polar Amplification signal. Regional<br>climate models (RCMs) are a widely used tool to downscale ensembles of projections from<br>global climate models (GCMs) to assess the impact of global warming on GrIS melt and<br>sea level rise contribution. Initial results of the CMIP6 GCM model intercomparison<br>project have revealed a greater 21st century temperature rise than in CMIP5 models. <br>However, so far very little is known about the subsequent impacts on the future GrIS<br>surface melt and therefore sea level rise contribution. Here, we show that the total GrIS<br>melt during the 21st century almost doubles when using CMIP6 forcing compared to the<br>previous CMIP5 model ensemble, despite an equal global radiative forcing of +8.5 W/m2<br>in 2100 in both RCP8.5 and SSP58.5 scenarios. The total GrIS sea level rise contribution<br>from surface melt in our high-resolution (15 km) projections is 17.8 cm in SSP58.5, 7.9 cm<br>more than in our RCP8.5 simulations, despite the same radiative forcing. We identify a<br>+1.7&#176;C greater Arctic amplification in the CMIP6 ensemble as the main driver behind the<br>presented doubling of future GrIS sea level rise contribution</p>
A review of human reactions to environmental sounds

Soundscape is defined as the entire acoustic environment and the human responses to it. This review summarizes different human reactions to sound exposure, their development, prevalence, symptoms, comorbidities, methods for their assessment, and possible origins. The interpretation of sounds from the environment depends, not only on the characteristics of the sound itself, but also on the characteristics of the listener, their judgments, preferences, motivations, and emotional reactions to the sound or its source. Typical sound-related reactions are presented from two standpoints: population reactions, from the community perspective, and individual reactions, from the clinical perspective. Noise annoyance is a specific, unique, and typical psychological and physiological reaction to noise, which is assessed from the community perspective. Noise sensitivity, a stable personality trait, is at the basis of noise annoyance. Both noise annoyance and noise sensitivity play important roles in the development of other noise-related health disturbances. From the clinical perspective, hyperacusis and misophonia are the most distinctive individual responses to specific sounds. They may become so pronounced that they disturb one's physical and mental health, behavior, and functioning. Human reactions to sounds in the environment are widespread and well-investigated. This review goes beyond merely defining terminology in the domain of psychoacoustics; it may help health professionals understand human reactions to sound better. Further studies need to be directed towards developing methods for alleviating or treating the described reactions, but also towards creating a more pleasant acoustic environment for the purpose of protecting public health.
New supplementation proposals for pregnant women with foetal cardiac diseases

Should we pay special attention to the supplementation for patients with a congenital foetal heart defect, whether they require special care, assuming that each subsequent pregnancy should be planned? Should patients with cardiac problems in their current pregnancy make any changes to their regular supplementation? In our short report we would like to discuss the issues of supplementation, especially folates and vitamin D, from the perspective of prenatal cardiology and specific problems affecting postnatal prognosis, paying special attention to the prevention of COVID-19 and pre-eclampsia during pregnancy. We propose that our observations be considered concerning mainly rich supplementation with folic acid as well as vitamin D for patients with cardiac problems in the foetus.
Near-infrared spectroscopy—current status

part of the skin. Each NIRS sensor (optodes) has a light‐emitting source and two photodetectors integrated into a self‐adhesive rubber plate that is attached to the forehead. The emitter and detectors are situated 4–8 cm apart. Light is generated at specific wavelengths typically by light‐emitting diodes, and is usually detected by silicon photodiodes. The light emitted from the emitter passes through the scalp, skull bone and brain tissue. The photodetectors capture the reflected light from the underlying tissue. The light detected by the photodetector close to the emitter passes through the scalp and skull bone, while the light detected by the photodetector farther from the emitter passes through the brain tissue [Figure 1]. Near field photodetection is then substracted from far field photodetection to provide a measurement of brain tissue oxygenation.
Ultrafine grain recrystallisation of a metastable-β Ti-alloy via conventional thermomechanical processing

Alloys with ultrafine grains (UFG) offer high strength potentially combined with ductility. Until now, producing ultrafine grains in ingot alloys has required either severe plastic deformation techniques or flash annealing, neither of which are scalable to bulk alloy production. In this work, we formed submicronic grains in the metastable β titanium alloy Ti-20Nb-6Zr (at%), using conventional cold rolling and annealing at 823K in a conventional furnace. The cold rolling (298K) transformed the β structure mostly to α” martensite, but if the rolling temperature was raised to 453K, martensite formation was supressed, and no grain refinement occurred during the subsequent similar annealing treatment. Therefore, we attribute the formation of ultrafine grains to a mechanism involving stress-induced martensite and its reverse transformation.
Estimador Adaptativo da Linha de Base do Sinal de Resposta de um Calorímetro de Altas Energias

In particle physics, an important feature for the characterization of events of interest is the meansured energy in the calorimeters. Optimal filter can be applied on energy estimation even on noise and signal overlapping occurence. For this, the knowledge of the pulse baseline acquired in the calorimeters is needed. In this context, the present work proposes an adaptive estimator of the energy signal baseline in the ATLAS experiment at LHC. The results with experimental data show the proposed method efficiency. Keywords— Parameter Estimation, Optimal Filter, Signal Pileup, High Energy Calorimetry.
Formulation and In vitro/In vivo evaluation of controlled release Entacapone trilayer matrix tablets by geomatrix

The purpose of the present study was to develop and optimize controlled release (CR) matrix tablets of Entacapone trilayer tablets to achieve zero-order drug release for sustained plasma concentration. Entacapone tablets were prepared by direct compression and consist of middle active layer with different grades of hydroxypropylmethylcellulose (HPMC), xanthan gum, ethyl cellulose; upper and lower layers were prepared with Carnauba wax, xanthan gum, sodium CMC and DCP. The tablets were also evaluated for physicochemical characteristics and release kinetics. The physicochemical characteristics of the prepared tablets were satisfactory. The developed drug delivery systems showed prolonged drug release rates over a period of 24 h. The release profile of the optimized formulation (HF14) was described by the Zero-order and Higuchi model. In-vivo (Rabbit) bioavailability studies were carried out on the optimized formulation (HF14) as marketed conventional release product as a reference standard. Entacapone was available in plasma within an hour after oral administration of reference product. The T max of the optimized formulation was significantly different ( p < 0.05) from that of the marketed product. Low T max value for the reference product (1.00±0.01h) indicates rapid absorption while the higher T max of the optimized (4.01±0.04h) suggests slower absorption. This delayed absorption of test preparation is most likely due to the sustained release of the drug. A fair correlation between the in vitro dissolution profile and in vivo pharmacokinetic profile of the optimized formulation was observed. The results indicate that the approach used could lead to a successful development of a controlled release formulation of the drug. These results also demonstrated the suitability of three-layered tablet formulation of Entacapone to provide controlled release for prolonged period of time and improved linearity for Entacapone in comparison to marketed product with conventional drug release profile.
Mussel‐Inspired Conductive Cryogel as Cardiac Tissue Patch to Repair Myocardial Infarction by Migration of Conductive Nanoparticles

The engineered cardiac patch (ECP) is a promising strategy to repair infarct myocardium and restore the cardiac function. An ideal ECP should be able to mimic the primary attributes of native myocardium, which includes a high resilience, good cardiomyocyte adhesion, and synchronous contraction. Here, a mussel‐inspired dopamine crosslinker is used to integrate polypyrrole (Ppy) nanoparticles, gelatin‐methyacrylate, and poly(ethylene glycol) diacrylate into a cryogel form. The dopamine crosslinker and Ppy nanoparticles are coordinated to obtain optimal mechanical and superelastic properties for the ECP. The dopamine facilitates the uniform distribution of the Ppy nanoparticles, which migrate and fuse from the scaffold to the surface of the cardiomyocytes, revealing a potential mechanism for restoring infarct myocardium. The incorporated Ppy nanoparticles thus significantly enhance the functionalization of the cardiomyocytes, resulting in excellent synchronous contraction by increasing the expression of α‐actinin and CX‐43. Cardiomyocytes‐loaded ECP can improve the cardiac function in myocardial‐infarction (MI) affected rat models. The results show that the fractional shortening and ejection fraction are elevated by about 50% and that the infarct size is reduced by 42.6%. Collectively, this study highlights an effective cardiac patch based on mussel‐inspired conductive particle adhesion and a superelastic cryogel promising for the restoration of infarcted myocardium.
Collaborating with Technology-Based Autonomous Agents: Issues and Research Opportunities

Purpose: This article reports the results from a panel discussion held at the 2019 European Conference on Information Systems (ECIS) on the use of technology-based autonomous agents in collaborative work. Approach: The panelists (Drs. Izak Benbasat, Paul Benjamin Lowry, Stefan Morana, and Stefan Seidel) presented ideas related to affective and cognitive implications of using autonomous technology-based agents in terms of (1) emotional connection with these agents, (2) decision making, and (3) knowledge and learning in settings with autonomous agents. These ideas provided the basis for a moderated panel discussion (the moderators were: Drs. Isabella Seeber and Lena Waizenegger), during which the initial position statements were elaborated on and additional issues were raised. Findings: Through the discussion, a set of additional issues were identified. These issues related to (1) the design of autonomous technology-based agents in terms of human-machine workplace configurations, as well as transparency and explainability, and (2) the unintended consequences of using autonomous technology-based agents in terms of de-evolution of social interaction, prioritization of machine teammates, psychological health, and biased algorithms. Originality/value: Key issues related to the affective and cognitive implications of using autonomous technology-based agents, design issues, and unintended consequences highlight key contemporary research challenges that allow researchers in this area to leverage compelling questions that can guide further research in this field.
GNSS User Technology Report 2020

The article introduces and summarizes the GNSS User Technology Report - 3rd Edition, recently issued by the European GNSS Agency (GSA). The report is a true mine of information about the Global Navigation Satellite Systems presently operational, their major services and applications, and the state-of-the-art of the user receivers.
Prediction of structure and properties of boron-based covalent organic frameworks by a first-principles derived force field

We present a method to theoretically predict structures in arbitrary network topologies for all currently known boron based covalent organic frameworks (COFs). This is particularly useful because these materials are accessible experimentally only as polycrystalline powders. The method is based on a new fully flexible molecular mechanics force field. The consistent parameter set is derived by a genetic algorithm optimization approach from first-principles reference computed data. To achieve high accuracy, the convergence with respect to the level of theory is carefully controlled for this reference. The force field is used to investigate the relative stability of the two high symmetry topologies ctn and bor. Interestingly, for all systems, the ctn topology is found to be energetically more stable. This preference is observed experimentally, too, with the single exception of COF-108, which forms the bor topology. This exception can thus be attributed to the different synthesis conditions, demonstrating that.
Teaching through Stories. Renewing the Scottish Storyline Approach in Teacher Education

This book aims to meet the demands on teaching and learning in the twenty-first century, and in specific, how teacher education may transform pedagogical approaches and didactic methods to support future teachers in enhancing needful skills. In particular, it focuses on the pedagogical approach of Storyline, and how a Storyline can be applied in teacher education. It argues that teacher education benefits from the potency of various disciplines while applying an interdisciplinary methodology. Storyline is a problem-based, cross-curricular approach, based on learning through an evolving narrative, created in collaboration between teacher and students. It includes a variety of didactic tools, and inclusiveness towards different learners. Using Storyline in teacher education arranges for teacher educators to integrate alternative structures, that enable interdisciplinary cooperation and topic-based teaching. The authors have incorporated Storyline in many different ways, which contextualizes throughout the book. The book provides an overview of Storyline and introduces improved and new theoretical perspectives on this approach, including many practical examples.
Low-Power Implementation Techniques for Convolutional Neural Networks using Precise and Active Skipping Methods

SUMMARY Reducing power consumption is crucial for edge devices using convolutional neural network (CNN). The zero-skipping approach for CNNs is a processing technique widely known for its relatively low power consumption and high speed. This approach stops multiplication and accumulation (MAC) when the multiplication results of the input data and weight are zero. However, this technique requires large logic circuits with around 5% overhead, and the average rate of MAC stopping is approximately 30%. In this paper, we propose a precise zero-skipping method that uses input data and simple logic circuits to stop multipliers and accumula-tors precisely. We also propose an active data-skipping method to further reduce power consumption by slightly degrading recognition accuracy. In this method, each multiplier and accumulator are stopped by using small values (e.g., 1, 2) as input. We implemented single shot multi-box detector 500 (SSD500) network model on a Xilinx ZU9 and applied our proposed techniques. We veriﬁed that operations were stopped at a rate of 49.1%, recognition accuracy was degraded by 0.29%, power consumption was reduced from 9.2 to 4.4 W ( − 52.3%), and circuit overhead was reduced from 5.1 to 2.7% ( − 45.9%). The proposed techniques were determined to be e ﬀ ective for lowering the power consumption of CNN-based edge devices such as FPGA.
Modeling Plausible Impacts of land use change on wildlife habitats, Application and validation: Lisar protected area, Iran

The present study aims to simulate the spatial pattern of land use change in Lisar protected area,Iran. Land cover maps for 1989, 2000, and 2007 were depicted using TM, ETM+, and IRS LISS-III images ofthe area at stake. Images were classified using a merge of unsupervised and supervised classification. CAMarkov model was used to predict land cover maps as a top-down approach in investigating land use change. A comparison was made between the predicted and actual land use map of 2007 in order to examine the precision of the predicted map and the validation of the CA-Markov model. Finally, by computing the rate of land use change on wildlife habitats, we examined the possible impacts of land use change on wildlife habitats. Meanwhile, the impact of variables on degradation in the region was studied to develop a bottom-up model, which enabled us to predict the possible impact of socio-economic drivers on protected areas. The findings of the study suggest that the region will experience a degradation of at least 5 hectares where the population increases by 0.71 or more in the predicted period of time. Moreover, if the trend of land exploitation and current management policy of the region continue as before, the region will experience at least 5.2 hectares degradation on the sensitive habitats.
A novel information diffusion model based on psychosocial factors with automatic parameter learning

Online social networks are the main choice of people to maintain their social relationships and share information or opinions. Estimating the actions of a user is not trivial because an individual can act spontaneously or be influenced by external factors. In this paper we propose a novel model for imitating the evolution of the information diffusion in a network as well as possible. Each individual is modeled as a node with two factors (psychological and sociological) that control its probabilistic transmission of information. The psychological factor refers to the node? s preference for the topic discussed, i.e. the information diffused. The sociological factor takes into account the influence of the neighbors? activity on the node, i.e. the gregarious behavior. Agenetic algorithm is used to automatically tune the parameters of the model in order to fit the evolution of information diffusion observed in two real-world datasets with three topics. The reproduced diffusions show that the proposed model imitates the real diffusions very well.
Disorder in an exactly solvable quantum spin liquid

We investigate the properties of the Kitaev honeycomb model with both site dilution and exchange randomness. Embarking on this work, we review disorder in some strongly correlated electron systems, including spin-½ and spin-1 Heisenberg antiferromagnetic chains, two dimensional Heisenberg antiferromagnets, the cuprates and graphene. We outline some aspects of resonating valence bond phases, valence bond solids, spin liquids and quantum computation that are pertinent to an understanding of the Kitaev model. The properties of the Kitaev model without disorder are discussed and it is found to be a critical spin liquid, with algebraic correlations in two spin operators sigma^{alpha}_{i}sigma^{alpha}_{j}, where i and j,/em> are either end of a link of type alpha = x, y or z on the honeycomb lattice. The Kitaev model is exactly solvable and we show that this remains so in the presence of site dilution and exchange randomness. We find that vacancies bind a flux. In the gapped phase, a vacancy forms an effective paramagnetic moment. With two or more vacancies we describe the interaction of their effective moments and show that a finite density of vacancies leads to a divergent macroscopic susceptibility at small fields. In the gapless phase the effective moment has a susceptibility that is, to leading order at small fields, chi(h)~log(1/h). Interaction between the moments from two vacancies on opposite sublattices cuts off this divergence in susceptibility at a large but finite constant. Two vacancies on the same sublattice behave quite differently and we find the combined susceptibility is parametrically larger than that of an isolated vacancy, chi(h)sim [h(log(1/h))^{3/2}]^{-1}. We also investigate the effects of slowly varying, quenched disorder in exchange coupling. We demonstrate that this does not qualitatively affect the susceptibility but show that the heat capacity C ~ T^{2/z}, where z is a measure of the disorder and increases from one with increasing disorder strength.