Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid shifts in thermal reaction norms and tolerance of brooded coral larvae following parental heat acclimation

Thermal priming of reef corals can enhance their heat tolerance; however, the legacy effects of heat stress during parental brooding on larval resilience remain understudied. This study investigated whether preconditioning adult coral Pocillopora damicornis to high temperatures (29°C and 32°C) could better prepare their larvae for heat stress. Results showed that heat‐acclimated adults brooded larvae with reduced symbiont density and shifted thermal performance curves. Reciprocal transplant experiments demonstrated higher bleaching resistance and better photosynthetic and autotrophic performance in heat‐exposed larvae from acclimated adults compared to unacclimated adults. RNA‐seq revealed strong cellular stress responses in larvae from heat‐acclimated adults that could have been effective in rescuing host cells from stress, as evidenced by the widespread upregulation of genes involved in cell cycle and mitosis. For symbionts, a molecular coordination between light harvesting, photoprotection and carbon fixation was detected in larvae from heat‐acclimated adults, which may help optimize photosynthetic activity and yield under high temperature. Furthermore, heat acclimation led to opposing regulations of symbiont catabolic and anabolic pathways and favoured nutrient translocation to the host and thus a functional symbiosis. Notwithstanding, the improved heat tolerance was paralleled by reduced light‐enhanced dark respiration, indicating metabolic depression for energy saving. Our findings suggest that adult heat acclimation can rapidly shift thermal tolerance of brooded coral larvae and provide integrated physiological and molecular evidence for this adaptive plasticity, which could increase climate resilience. However, the metabolic depression may be maladaptive for long‐term organismal performance, highlighting the importance of curbing carbon emissions to better protect corals.
Auroral Lyman α and H2 bands from the giant planets: 3. Lyman α spectral profile including charge exchange and radiative transfer effects and H2 color ratios

In this paper, third of a series of three dealing with a model of auroral H and H2 emission in the giant planets, we focus on the characteristics of the emergent emission, the only one which can be compared with observations. As the Jovian atmosphere is optically thick at 1215.67 A, modeling of emergent auroral Lyman α line profiles requires the use of a radiative transfer code to model the transport of photons from the auroral source to the top of the atmosphere. Here, radiative transfer effects are modeled using the “doubling and adding” method. This radiative transfer code is self-consistently coupled with the energy degradation code used in the first two papers to compute the excitation rate along the path of precipitating particles as a function of wavelength. Input parameters are the identity and the energy of the incoming particles. We find that the auroral Lyman α line profile shows a central reversal due to the atmospheric H overlying the emitting layer. The shape of the emergent line is almost only sensitive to the column of H in the line of sight to the emission, related, via the atmospheric model used, to the the particle penetration depth (i.e. their energy). In addition, in the case of proton precipitation, charge exchange produces fast H atoms (Hf) which precipitate with the protons. Hf can also be excited and radiate Lyman α photons. This produces a second, Doppler shifted, component, of the Lyman α profile. This component may represent as much as 77.4% of the total Lyman α intensity for 10 keV protons, and it decreases with incident proton energy. It also extends over a broad wavelength range (up to 56 A for 1 MeV proton). Detection of this component would unambiguously identify protons as the particles responsible for the Jovian aurorae. However, for high proton energies, the escaping flux may be too weak to be detected. Finally, following earlier analyses of IUE auroral spectra, we compute the color ratio C between the fluxes escaping in two particular wavelength ranges of the H2 Werner and Lyman bands, 1230–1300 A and 1557–1619 A. We also compute the ratio CLyα between the H2 short-wavelength range and the line integrated Lyman α flux. C and CLyα are sensitive to the CH4 and the H column densities, respectively, overlying the auroral source along the line of sight. Once an atmospheric model is assumed, energies of the precipitating particles can be derived. Each of these ratios shows a specific variation with the energy of the particles. In addition, CLyα is sensitive to the identity of precipitating particles as well, so that, combined together, they can, in principle, provide a unique diagnostic of the Jovian aurorae.
Monte Carlo calculations of electron beam parameters for three Philips linear accelerators

Electron beams from three linear accelerators manufactured by Philips (SL75-20, SL75-14/N and SL15) have been simulated using the EGS4 Monte Carlo code. The linear accelerators demonstrate the change in design from the SL75 range to the SL range. The agreement between experimental and calculated central-axis depth-dose curves is good for all three machines. The calculated energy spectra are shown to be very sensitive to the design of the collimating system. Actual beam energies and those calculated from several range-energy formulae are compared and are closer for the more modern machines. Various levels of sophistication in the models for calculating the central-axis depth-dose curve in the phantom were tested for the SL15 12 MeV beam.
Transonic Flutter Analysis of a Rectangular Wing with Conventional Airfoil Sections

Flutter analysts have encountered considerable analytical difficulties in the prediction of the flutter stability of aircraft operating in the transonic Mach number regime. Because of the shocks and nonlinearities of transonic flow the aerodynamic unsteady forces have been difficult to determine and have prohibited accurate determination of the flutter speed. The finite-difference relaxation method is used to determine the oscillatory transonic aerodynamic forces on a uniformly stiff cantilever rectangular wing in a flow field with mixed subsonic and supersonic regions together with shock waves. The flutter speed is determined at two transonic Mach numbers and is compared to the flutter speed obtained using a linear aerodynamic theory.
Structural and magnetic deconvolution of FePt/FeOx-nanoparticles using x-ray magnetic circular dichroism

Recently, magnetite nanoparticles have attracted much attention, due to their technological potential based on different optic, magnetic and catalytic sections. In particular, the magnetic properties of hybrid nanocrystals can be tailored by the combination of complementary magnetic materials like for example magnetite and FePt. In order to analyse the related magnetic and structural properties of the resulting bi-component systems, we present x-ray absorption and x-ray magnetic circular dichroism studies at the Fe L2,3 edges simultaneously performed in total electron yield and transmission mode, done at room and low temperatures. This provides in particular the separation of volume- and surface-related properties. The investigated system was made up of FePt/FeOx hybrid nanocrystals, which could be uniquely tuned in size and volume ratios. These measurements have been combined with magnetometry and high-resolution transmission electron microscopy studies. The separation between surface and bulk has been done by a deconvolution of the absorption spectra in terms of a linear superposition of reference spectra. With this universally applicable technique we are able to experimentally determine that the outer FeOx shell fraction at the surface has a strongly reduced magnetization and is of maghemite character, while the inner part is more magnetite like. So the technique shown here can be used to characterize nanoparticular systems and determine their structural and magnetic properties.
Liquid crystal photonics with indium tin oxide nanowhiskers and graphene as functional electrodes

We have constructed and characterized THz phase shifters based on liquid crystals (LCs) with graphene grown by chemical vapor deposition (CVD) and indium-tin-oxide nanowhiskers (ITO NWhs) as transparent conducting electrodes. A graphene-based phase shifter can achieve a phase shift of π/2 at 1.0 THz with the operating voltage of ~2.2 V (rms) as opposed to ~ 5.6 V (rms) for ITO-NWhs-based phase shifter in previous work. On the other hand, 2π phase shift at 1.0 THz was achieved in an ITO-NWhs-based phase shifter with a multi-sandwiched structure by applying ~2.6 V (rms). The low operation voltage of both two kinds of phase shifters imply compatibility of both type of devices with thin-film transistor (TFT) and complementary metal-oxide-semiconductor (CMOS) technologies. The experimental results of phase shifters are in good agreement with the theoretical predictions.
Channel Islands CALIFORNIA STATE UNIVERSITY Human Boxing Motion Prediction Using Neural Networks

Numerous thoughts that were previously deemed inconceivable have become a reality as a result of decades of technical progress and improvement. While flying automobiles are still in the far fu­ ture, artificial intelligence that can predict your next move is rapidly approaching. Human motion prediction is a relatively new area of ac­ tive research that is interesting for it’s potential of improving robot’s and other machinery’s ability to work with human, such as passing objects to human, and avoiding crash into human, etc. This thesis fo­ cuses on predicting human boxing moves based on RGB visual input as an artificially intelligent boxing trainer with the help of recurrent neural networks (RNNs). I studies and compares the performance of six distinct neural network architectures. I have method 1, which includes four model architectures taking 3D joint data as input, and method 2, which includes two architectures that take RGB image as input. Based on the results of all my research, I have discovered the most effective and efficient architecture for scenarios with sparse data based on the outcome of my study.
Fabrication and performance of dual-wavelength white light-emitting diodes assisted with red-emitting nanocrystals

An analysis of an optical-digital system based on the architecture of the Mach-Zehnder interferometer for recording holographic filters is presented. The holographic recording system makes use of one microscope objective in each interferometer arm. Moreover, the Gabor Wavelet Transform is implemented for the holographic reconstruction stage. The samples studied of this research are selected in order to test the retrieval algorithm and to characterize the resolution of the holographic recording system. In this last step, some sections of an USAF1951 resolution chart are used. These samples allow us to study the features of lighting in the recorded system. Additionally, some organic samples are used to proven the capabilities of the method because biological samples have much complex morphological composition than others. With this in mind, we can verify the frequencies recovered with each of the settings set in the retrieval method. Experimental results are presented.
Task Planning and Collaboration of Jellyfish‑inspired Multiple Spherical Underwater Robots

Task planning and collaboration of multiple robots have broad application prospects and value in the field of robotics. To improve the performance and working efficiency of our Spherical Underwater Robot (SUR), we propose a multi-robot control strategy that can realize the task planning and collaboration of multiple robots. To complete real-time information sharing of multiple robots, we first build an acoustic communication system with excellent communication performance under low noise ratio conditions. Then, the task planning and collaboration control strategy adjust the SURs so that they maintain their positions in the desired formation when the formation moves. Multiple SURs can move along desired trajectories in the expected formation. The control strategy of each SUR uses only its information and limited information of its neighboring SURs. Finally, based on theoretical analysis and experiments, we evaluate the validity and reliability of the proposed strategy. In comparison to the traditional leader–follower method, it is not necessary to designate a leader and its followers explicitly in our system; thus, important advantages, such as fault tolerance, are achieved.
Analysis of Performance Overheads in DynamoRIO Binary Translator

Dynamic binary translation is the process of translating instruction code from one architecture to another while it executes, i.e., dynamically. As modern applications are becoming larger, more complex and more dynamic, the tools to manipulate these programs are also becoming increasingly complex. DynamoRIO is one such dynamic binary translation tool that targets the most common IA-32 (a.k.a. x86) architecture on the most popular operating systems Windows and Linux. DynamoRIO includes applications ranging from program analysis and understanding to profiling, instrumentation, optimization, improving software security, and more. DynamoRIO uses several optimization techniques like code caching, trace creation, optimized software technique to emulate indirect branch instructions, etc. to reduce the translation overhead and enhance program performance in comparison to native execution. However, even considering all of these optimization techniques, DynamoRIO still has the limitations of performance and memory usage, which restrict deployment scalability. The goal of this thesis is to break down the various aspects which contribute to the overhead burden and evaluate which factors directly contribute to this overhead. This thesis will discuss all of these factors in further detail. If the process can be streamlined, this application will become more viable for widespread adoption in a variety of areas. We have used industry standard MI benchmarks in order to evaluate in detail the amount and distribution of the overhead in DynamoRIO. Our statistics from the experiments show that DynamoRIO executes a large number of additional instructions when compared to the native execution of the application. Furthermore, these additional instructions are involved in building the basic blocks, linking, trace creation, and resolution of indirect branches, all of which in return have contributed to the frequent exiting of the code cache. We will discuss in detail all of these overheads, show statistics of instructions for each overhead and finally show the observations and analysis in this experiment.
Differential antimicrobial extract activity of Graviola ( Annona muricata ) on gram positive and gram- negative antibiotic-resistant bacteria

New agents are needed with the increasing prevalence of multidrug-resistant (MDR) bacteria. Identification of plants with activity against MDR bacteria is of increasing importance. The antimicrobial activity of commercially available Graviola preparations against 38 clinical and laboratory isolates, representing MDR and drug-sensitive Gram positive and Gram negative bacteria, was measured by broth microdilution. Commercially Graviola fruit, as well as leaves/stems preparations, exhibited both inhibitory and cidal activity. However, the fruit preparation showed significantly less activity than the leaves/stems preparation. The Graviola leaves/stems preparation activity titer ranged from 1:4 to 1:16 against MDR Gram positive and Gram negative bacteria; including methicillin-resistant Staphylococcus aureus (MRSA), extended-spectrum β-lactamase (ESBL) Escherichia coli, Acinetobacter baumannii
MEASURING ISSUE AND IMAGE IN POLITICAL ADVERTISING: AN INFORMATIONAL/TRANSFORMATIONAL APPROACH

An experiment examines Puto and Wells informational/transformational advertising scale in the context of issue and image political advertising. The purpose is to empirically prove the conceptual similarity between information/transformation and issue/image and assess the validity of using the scale to measure the perception of issue and image content in political advertisements. The results support the use of the scale for political advertising and provide insights about the relationship between advertising content and candidate evaluation for unknown candidates.
The Strategies to Improve Customer Experience: A Case of Online Shopping Platform

Objective: The objective of this study is three-fold; 1) To analyze the current situation of online customer experience with the preferred online shopping platform among university students, 2) to examine the influence of website design, website security, and customer service towards online customer experience, and 3) To recommend strategies to improve online customer experience with the online shopping platform among university students. The theoretical basis applied in this study is Customer Experience Theory. Design/Methods/Approach: Adopt the applied research method, information was accumulated through situational analysis before data collection via a survey questionnaire. The unit of analysis is individual university students in Selangor who have at least performed one transaction through an online shopping platform. The final sample size for this study is n=183. For data analysis, this study applied two strategic tools (SWOT Analysis & TOWS Matrix) and analyzed data using regression analysis. Findings: Results shows that to sustain the e-commerce business, customer experience is an issue that must be taken seriously by any online platform provider. Among the factors that should be of concern to the platform providers are; website design, website security, and customer service. In this study, these factors were proven to have a significant positive influence on online customer experience. Research Practical: This study focuses on three important variables: website design, website security, and customer service. The findings of this study can be used as guidelines for online platform providers to improve their online shop further. Besides, researchers also recommend strategic actions for online shopping platforms to improve online customer experience. Originality: The value of this study is that researchers have examined the factors that influenced online customer experience and provided recommendations with nine strategies for online shopping platforms to improve their customers' online experience. The strategies are known as best-cost strategies, innovation strategies (live-streaming), improved website design features, improved website security, customer service KPIs, vertical integration strategies, non-equity strategic alliance, offensive strategies, and outsourcing strategies.
5G Technology and Transceiver Architecture A whitepaper by Omni Design Technologies

5G is the dominant next-generation telecommunication network expected to bring transformational changes and benefits beyond legacy standards. As data demand continues to grow, and the applications of various network systems expand year after year, 5G will power the capacity growth needed by industries and consumers. It will support diverse use cases based on significantly improved data rates, latency, connectivity, and reliability. Deployment gained momentum in 2020, with both field trials and commercial implementations on-going. This whitepaper provides an overview of the key technologies, challenges, and architectural solutions related to the 5G revolution.
Executive Equity Incentive, Internal Control Quality and Corporate Performance —— Based on the Empirical Study of A-share Listed Companies

Taking Shanghai and Shenzhen A-share listed companies from 2013 to 2018 as samples, the relationship between executive equity incentive, internal control quality and corporate performance was empirically tested through regression analysis. The results show that executive equity incentive and high quality internal control have a positive effect on corporate performance. There is a local intermediary effect among the three. The intermediary variable, quality of internal control, can be improved by the executive equity incentive and then further improve enterprise performance. This paper provides reference and basis for listed companies to implement equity incentive plan, effectively improve the internal control quality of the company, and thus improve the performance of the company.
Tempting and Enforcing as Paradigms for the Design of Social Interactions in Social VR

Developers of Social VR applications have access to individual users’ motion data and the resulting spatiotemporal relationship between them via VR hardware. This information opens up the possibility of identifying specific social events like handshakes and making them usable for concrete features that eventually shape the social experience within the virtual world. Following this line of thought, we put the paradigms of tempting and forcing specific social interactions in VR up for discussion to add a novel perspective to the growing body of literature on Social VR design strategies. In this position paper, we first give an illustrative example for linking body movement data and social features, then present a continuum of developer influence on social interactions in VR. In conclusion, we advocate the value of exploring social VR interaction techniques that extend beyond reality.
A Theoretical Study of the Lake and Land Breezes of Circular Lakes

Abstract In this paper the authors study the lake and land breezes of a mesometearological system consisting of a circular lake and a level land area surrounding it. It is assumed that initially the atmosphere is at rest, the meteorological variables being uniform along horizontal planes. At time t=0, a diurnal temperature wave is imposed on the land surface and the resulting circulation is studied through the application of the non- linear equations of motion and heat conduction for an axially symmetric flow system. In the numerical solution we consider two lake sizes: one of 25 km radius (“small”lake) and the other one of 50 km radius (“large”lake). In both lake-size cases the landward penetration of the cool lake air takes place along a front. As the lake breezes are divergent horizontally, and those of the small lake are more strongly divergent, and as horizontal divergence of winds tends to dissolve fronts, the front spearheading the breezes of the large lake is more fully developed. For the same rea.
APPLICATION OF LQG BALANCED TRUNCATION ALGORITHM TO THE DIGITAL FILTER DESIGN PROBLEM - PART 2: MODEL ORDER REDUCTION

This paper presents a method to use model reduction algorithm to design low-order digital filters. Designing an IIR digital filter that meets the specifications often leads to a high-order digital filter. In order to reduce the computation time and increase the response rate of the filter, we need to reduce the order of the high-order digital filter. Applying LGQ balanced truncation algorithm to reduce the order of high-order digital filters shows that low-order filters can completely replace high-order digital filters. The simulation results show that the use of the LQG balanced truncation algorithm to reduce the filter order is correct and efficient. With the research objectives set out, the author organizes this research into six main parts as follows. Part 1: Digital filter design problem; Part 2: Model order reduction; Part 3: Digital filter model; Part 4: The LQG balanced truncation algorithm; Part 5: Reducing order of digital filter; Part 6: Review of low-order digital filter.