Fast Branch Research Articles

Effects of water sprays on hydrogen autoignition in heated air

The effects of water mist with different diameters and mass loadings on hydrogen auto-ignition in air with elevated temperatures and pressures are studied. It is shown that smaller droplets with larger mass loading are the most effective in inhibiting the auto-ignition process. Under elevated initial pressures and temperatures, the role of water mist in impacting auto-ignition is minimal, primarily because the ignition delay is substantially shorter than the droplet evaporation duration. As the initial temperature decreases, there exists a temperature value below which water mist markedly extends the ignition delay time, even escalating it by up to two orders of magnitude or causing a complete suppression of ignition. The rate of production for important radicals was analyzed. The data indicates that the evaporation of the water mist lowers the initial temperature, leading to a reduction in the rate of the temperature-sensitive fast chain branching reaction. In contrast, the third body reaction that generates HO2 is not sensitive to temperature. Meanwhile, the introduction of H2O results in an earlier activation of the third body reactions. Consequently, the production of HO2 is enhanced, emphasizing the role of subsequent slow chain propagation reactions that generate OH, thereby extending the ignition delay. By deactivating the mass transfer between two phases and introducing artificial species, it is evident that water vapor dilution and thermal effects predominantly influence the ignition delay, while its role as a direct reactant is minimal.

Spatio-Temporal Behavior Detection in Field Manual Labor Based on Improved SlowFast Architecture

Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people’s behavior during field labor. In this study, we propose a field manual labor behavior recognition network based on an enhanced SlowFast architecture. The main work includes the following aspects: first, we constructed a field manual labor behavior dataset containing 433,500 fast-track frames and 8670 key frames based on the captured video data, and labeled it in detail; this includes 9832 labeled frames. This dataset provides a solid foundation for subsequent studies. Second, we improved the slow branch of the SlowFast network by introducing the combined CA (Channel Attention) attention module. Third, we enhanced the fast branch of the SlowFast network by introducing the ACTION hybrid attention module. The experimental results show that the recognition accuracy of the improved SlowFast network model with the integration of the two attention modules increases by 7.08%. This implies that the improved network model can more accurately locate and identify manual labor behavior in the field, providing a more effective method for problem solving.

SlowFastFormer for 3D human pose estimation

3D human pose estimation in videos aims at locating the human joints in the 3D space given a temporal sequence. Motion information and skeleton context are two significant elements for pose estimation in videos. In this paper, we propose a SlowFastFormer (slow-fast transformer) network where two branches with different input rates are composed to encode these two different kinds of context. For the slow branch, skeleton context is well learned at a higher frame rate. For the fast branch, motion information is captured at a lower frame rate. Through these two branches, different kinds of context are encoded separately. We fuse these two branches at a later stage to fully utilize the skeleton context and motion information. Afterwards, a blending module is developed to promote the message exchange among multiple branches. In the blending stage, different kinds of context information are exchanged and feature representation is enhanced consequently. Lastly, a hierarchical supervision scheme is tailored where predictions of different levels are inferred in a progressive manner. Our approach achieves competitive performance with lower computation complexity on several benchmarks, i.e., Human3.6M, MPI-INF-3DHP and HumanEva-I.

Heuristic optimal transport in branching networks

Optimal transport aims to learn a mapping of sources to targets by minimizing the cost, which is typically defined as a function of distance. The solution to this problem consists of straight line segments optimally connecting sources to targets, and it does not exhibit branching. These optimal solutions are in stark contrast with both natural, and man-made transportation networks, where branching structures are prevalent. Here, we discuss a fast heuristic branching method for optimal transport in networks. We also provide several numerical applications to synthetic examples, a simplified cardiovascular network, and the “Santa Claus” distribution network which includes 141[Formula: see text]182 cities around the world, with known location and population.

Current drive by using lower hybrid fast wave in VEST

An efficient central or off-axis current drive is necessary for the steady-state operation of tokamak fusion reactors. The fast wave branch in the frequency range above two times the lower hybrid resonance frequency at high density, the so-called lower hybrid fast wave (LHFW), could be such an efficient current drive scheme in high density and high temperature of reactor-grade tokamak plasmas. This is because it has a higher parallel wave electric field for efficient Landau damping, compared to the fast wave branches in other frequency ranges, and it can more deeply penetrate high density plasmas than the slow wave in the same frequency range. An experimental study has been carried out to confirm the feasibility, in collaboration with Korea Atomic Energy Research Institute, Seoul National University, KwangWoon University, and Korea Accelerator and Plasma Research Association, in VEST. The results show that plasma current can be driven by the fast electrons generated by the LHFW. The details are reported including the theoretical background and RF system as well as the experiment results.

Fast atomic crack kinking and branching in WS2

Abstract Dynamic nanocrack propagation in 1T- and 2H-WS2 strips is studied by molecular dynamics, and the T-stress and circumferential stress in linear elastic fracture mechanics are considered. As the crack propagates, the crack-tip speed (v) experiences a rapid acceleration, and then oscillates at ∼55% (1T) and ∼65% (2H) of the Rayleigh-wave speed followed by crack kinking/branching. The critical energy release rates of crack instability are estimated to be ∼1.5 J/m2 (1T) and ∼4.0 J/m2 (2H). The crack path in 1T-WS2 exhibits higher sensitivity of strain rates for atomic asymmetry around the crack tip. Examination of the dynamic crack-tip field shows that the T-stress obtained by the over-deterministic method always fluctuates in negative, and the theoretical circumferential stress curve does not accurately capture the v-dependent atomic stress distribution. Consequently, both T-stress and circumferential stress are limited in predicting the crack kinking/branching directions, which can be attributed to the discrete crystal lattice and local anisotropy of WS2, where a preferred crack path along the zigzag surface is observed. The fracture properties of WS2 might provide useful physics for its applications in nano-devices.

DB[formula omitted]-tree: A new variant of B[formula omitted]-tree for main-memory database systems

The B-tree and its variants are an indispensable tool for database systems and applications. Hence the efficiency of the B-tree is one of the few critical factors that determine the performance of a database system. In main-memory database systems, the computational overhead intrinsic in the B-tree algorithms for branching becomes the dominant factor in performance. In this paper, we propose yet another but disruptive variant of the B+-tree called the DB+-tree that redesigns the node structure for faster branching operations. The novel branching algorithm of the DB+-tree can be implemented in an O(1) number of SIMD and other sequential instructions, which supports fast branching, and this leads to efficient point search, range search, and update operations.

Biorthogonal decomposition of the disturbance flow field generated by particle impingement on a hypersonic boundary layer

The disturbance flow field in a hypersonic boundary layer excited by particle impingement was investigated with a focus on the first stage of the laminar-to-turbulent transition process, namely the receptivity process. A previously validated direct numerical simulation approach adopting disturbance flow tracking is used to simulate the particle-induced transition process. Particle impingement generates a highly complex disturbance flow field that can be characterised by a wide range of frequencies and wavenumbers. After providing some insight about the spectral characteristics of the disturbance flow field in the frequency and wavenumber domains, biorthogonal decomposition is employed to reveal the composition of the disturbance flow field consisting of different continuous and discrete eigenmodes that are triggered through particle impingement. The disturbance flow characteristics for different frequency and wavenumber pairs are discussed where large contributions in the disturbance flow spectrum are observed in the vicinity of the impingement location. A significant amount of the disturbance energy is diverted into the free stream leading to large coefficients of projection for the slow and fast acoustic branches while contributions to the entropy and vorticity branches are negligible. In addition to the continuous acoustic spectra, the first-, second- and other higher-order Mack modes are activated and provide large contributions to the disturbance flow field inside the boundary layer. Finally, it is demonstrated that the disturbance flow field in the vicinity of the impingement location can be reconstructed with a maximum relative error of $2.3\,\%$ by employing a theoretical biorthogonal eigenfunction system expansion and by considering contributions from fast and slow acoustic waves and at most four discrete modes only.

A multi-behavior recognition method for macaques based on improved SlowFast network

Macaque is a common animal model in drug safety assessment. Its behavior reflects its health condition before and after drug administration, which can effectively reveal the side effects of drugs. At present, researchers usually rely on artificial methods to observe the behavior of macaque, which cannot achieve uninterrupted 24-hour monitoring. Therefore, it is urgent to develop a system to realize 24-hour observation and recognition of macaque behavior. In order to solve this problem, this paper constructs a video dataset containing nine kinds of macaque behaviors (MBVD-9), and proposes a network called Transformer-augmented SlowFast for macaque behavior recognition (TAS-MBR) based on this dataset. Specifically, the TAS-MBR network converts the red, green and blue (RGB) color mode frame input by its fast branches into residual frames on the basis of SlowFast network and introduces the Transformer module after the convolution operation to obtain sports information more effectively. The results show that the average classification accuracy of TAS-MBR network for macaque behavior is 94.53%, which is significantly improved compared with the original SlowFast network, proving the effectiveness and superiority of the proposed method in macaque behavior recognition. This work provides a new idea for the continuous observation and recognition of the behavior of macaque, and lays the technical foundation for the calculation of monkey behaviors before and after medication in drug safety evaluation.

Cell wall dynamics stabilize tip growth in a filamentous fungus.

Hyphal tip growth allows filamentous fungi to colonize space, reproduce, or infect. It features remarkable morphogenetic plasticity including unusually fast elongation rates, tip turning, branching, or bulging. These shape changes are all driven from the expansion of a protective cell wall (CW) secreted from apical pools of exocytic vesicles. How CW secretion, remodeling, and deformation are modulated in concert to support rapid tip growth and morphogenesis while ensuring surface integrity remains poorly understood. We implemented subresolution imaging to map the dynamics of CW thickness and secretory vesicles in Aspergillus nidulans. We found that tip growth is associated with balanced rates of CW secretion and expansion, which limit temporal fluctuations in CW thickness, elongation speed, and vesicle amount, to less than 10% to 20%. Affecting this balance through modulations of growth or trafficking yield to near-immediate changes in CW thickness, mechanics, and shape. We developed a model with mechanical feedback that accounts for steady states of hyphal growth as well as rapid adaptation of CW mechanics and vesicle recruitment to different perturbations. These data provide unprecedented details on how CW dynamics emerges from material secretion and expansion, to stabilize fungal tip growth as well as promote its morphogenetic plasticity.

Light-efficient channel attention in convolutional neural networks for tic recognition in the children with tic disorders.

Tic is a combination of a series of static facial and limb movements over a certain period in some children. However, due to the scarcity of tic disorder (TD) datasets, the existing work on tic recognition using deep learning does not work well. It is that spatial complexity and time-domain variability directly affect the accuracy of tic recognition. How to extract effective visual information for temporal and spatial expression and classification of tic movement is the key of tic recognition. We designed the slow-fast and light-efficient channel attention network (SFLCA-Net) to identify tic action. The whole network adopted two fast and slow branch subnetworks, and light-efficient channel attention (LCA) module, which was designed to solve the problem of insufficient complementarity of spatial-temporal channel information. The SFLCA-Net is verified on our TD dataset and the experimental results demonstrate the effectiveness of our method.

Unraveling Moreton Bay reef history: An urban high-latitude setting for coral development

High-latitude habitats have become increasingly recognized as a potential climate refuge for coral communities, supporting both tropical and sub-tropical corals. Despite the increasing interest in the ecology of high-latitude corals, our current knowledge of their temporal dynamics is limited, especially within urbanized settings. Here, we examined the entire history of a high-latitude coral reef ecosystem in an urbanized setting. We surveyed Holocene fossil and modern coral communities along a water quality gradient in Moreton Bay, southeast Queensland, Australia, representing near-river (Wellington Point), intermediate (Peel Island) and near-oceanic (Myora Reef) environmental conditions. Reef accretion occurred during three discrete episodes from 7,400 to 5,800, 4,900 to 3,000, and 2,100 to 300 years BP, each separated by roughly 1,000-year hiatuses, where conditions were probably not favorable enough for reef accretion to occur. Episodic reef initiation and termination suggests strong environmental controls over reef development. Eastern Australian Holocene reef growth and cessation has been linked previously to sea level fluctuations and climatic regimes (e.g., ENSO). Within each reef building episode, there were few changes in coral assemblages over time. The fast growing and branching Acropora had a relative abundance greater than 90% in ten of the 13 sediment cores and all the submerged terrace excavations. However, substantial modification of adjacent coastal catchments from European colonization in the mid 1800’s resulted in increased sediment and nutrient discharge into the bay. This perturbation coincided with a greater abundance of stress-tolerant coral species (e.g., Dipsastraea, Goniastrea, and Goniopora) and the near extirpation of Acropora in the modern coral communities of near-river and intermediate sites due to poor water quality. In contrast, the modern coral assemblage at the near-oceanic site (Myora Reef) continues to be dominated by Acropora, likely due to the consistent oceanic input, resulting in lower sediment loading and higher water quality. In order for conditions for reef growth to improve, especially within the near-river portions of the bay, further sediment and nutrient runoff from anthropogenic land-use changes need to be mitigated. Given the historical abundance of Acropora, we recommend this genus be used as an indicator of natural resource management success in the bay.

Ray Tracing of MHD Rossby Waves in the Solar Tachocline: Meridional Propagation and Implications for the Solar Magnetic Activity

Rossby waves have been recently recognised for their role in the large-scale spatio-temporal organisation of the solar magnetic activity. Here, we study the propagation of magnetohydrodynamic Rossby waves in a thin layer, representing the solar tachocline. We consider the waves embedded in a meridionally varying background state characterised by a mean zonal flow, which mimics the differential rotation profile of the Sun, and a toroidal magnetic field. Two anti-symmetric toroidal magnetic fields are utilised: one having a global structure with the maximum at around 50o and the other characterised by a narrow band centered at around 20o. We show that for a global structure toroidal magnetic field, the MHD Rossby modes undergo significant meridional propagation, either equatorward or poleward. In addition, the latitude where the waves exhibit a stationary behaviour is sensitive to the strength of the background magnetic field. On the other hand, a narrow band toroidal magnetic field is shown to work as a waveguide for the fast branch of MHD Rossby waves.

Cross self-attention network for 3D point cloud

It is a challenge to design a deep neural network for raw point cloud, which is disordered and unstructured data. In this paper, we introduce a cross self-attention network (CSANet) to solve raw point cloud classification and segmentation tasks. It has permutation invariance and can learn the coordinates and features of point cloud at the same time. To better capture features of different scales, a multi-scale fusion (MF) module is proposed, which can adaptively consider the information of different scales and establish a fast descent branch to bring richer gradient information. Extensive experiments on ModelNet40, ShapeNetPart, and S3DIS demonstrate that the proposed method can achieve competitive results.

Perceived Price as Antecedent of Satisfaction and Loyalty: Learn from Fast Food Multinational Restaurants in Indonesia

Currently, multinational fast-food restaurant like the American fast food restaurant business is in great demand in Asian countries, especially in Indonesia. Maybe it can be categorised as a trend that is currently in effect. The uniqueness of the presentation or product appearance, the various types of menus and tastes, the restaurant environment, the prices offered, and several other factors contribute to creating the purchase intention of Indonesian customers. However, it is still rare to use this concept of thinking as the basic basis for measuring customer satisfaction, especially in American fast food restaurant branches in Asia, especially in Indonesia. Based on this explanation, the purpose of this study is to determine the relationship between product quality, service quality, physical environment quality, perceived price, satisfaction, loyalty, happiness, and trust in the customers of the fast-food restaurant. We distributed online questionnaires via google with a purposeful sampling method to 130 respondents conducted in July 2021. This study uses the SEM analysis method. The results show that there is a relationship between perceived price, product quality, service quality, physical environment quality, and customer satisfaction. Customer satisfaction has a positive effect on loyalty and happiness. Trust can moderate the relationship between customer satisfaction and loyalty. The results can be applied by fast-food restaurants that are interested in learning about similar factors that can increase customer satisfaction and loyalty, especially in developing countries that have almost the same respondent criteria as Indonesia. Implications for Central European audience: The knowledge used in various marketing studies that support customer satisfaction and customer loyalty can be built on the quality they receive and their perception of the price of the product. Also noteworthy is the finding that the effect of product quality and service quality does not always affect each product category. These results can be utilised by fast-food restaurant businessmen and other culinary businesses who use foreign themes to increase competitiveness in the country. But it can also be used for European producers who want to open their culinary business in Asian countries.

Positioning Analysis of Chicken Rocket Mapping at Fast Food Restaurant Manarap Branch Banjarmasin

Along with the changing times, the tendency of people to eat outside the home is increasing for various practical, economic and prestige reasons. Rocket Chicken is one of the fast food restaurant companies that has recently grown and has opened branch outlets everywhere, especially in the city of Banjarmasin. The role of price in buyer's perception is on product quality, value sacrifice and desire to buy, while location or place often determines the company's success, because location is closely related to a company's potential market. The problems in this study are as follows: How is the positioning from the aspect of price and place in creating a competitive advantage? How to apply Rocket Chicken positioning in Islamic Economic Perspective?. The purpose of this study was to determine the positioning of Rocket Chicken from the aspect of price and place in creating a competitive advantage and to determine the application of Rocket Chicken's positioning in an Islamic Economic Perspective. The benefits of this research can be used as consideration for companies, as well as knowledge that can provide information for all people, in an effort to improve knowledge in the field of Islamic economics. Qualitative research method with the type of field research(field research). The results show that: 1) Rocket Chicken provides food and beverage packages at affordable prices, creating a comfortable atmosphere.2) And in accordance with Positioning in Islam, namely the name or identity of a good and quality brand, consumers buy the product not because of coercion.

Hyperspectral Image Classification Based on Fast Double Branch Dense Connection Network and Double Attention Mechanism

Hyperspectral Image Classification Based on Fast Double Branch Dense Connection Network and Double Attention Mechanism

AN EFFECT OF PRODUCT QUALITY ON CUSTOMER SATISFACTION AT KFC FAST FOOD RESTAURANT BRANCH TITI KUNING

Product quality is a product or service that is produced and provides a high-quality value to meet the needs of the community. As the fulfillment of community needs, customer satisfaction is one of the most important things in evaluating a product. The more satisfied customers are with the products used, the better the quality provided. This paper is entitled “The Effect of Product Quality on Customer Satisfaction at Fast Food Restaurants KFC Branch Titi Kuning, Medan". The background of this research is the interest of researchers to find out whether there is an effect of product quality on customer satisfaction at KFC fast-food restaurants. The purpose of this study was to see if there was an effect of product quality at KFC on customer satisfaction. The research method used by the researcher is an associative quantitative research method that aims to measure the effect of the independent variable on the dependent variable. To support the research, data were taken from product quality and customer satisfaction questionnaires. The population in this study was 30 customers of KFC Titi Kuning. The research data were analyzed using a simple linear regression model which resulted in the regression equation: Y = 21,915 + 0,534X. This study concludes that there is a significant effect between product quality on customer satisfaction at the KFC branch Titi Kuning of the Medan fast food restaurant, which means that the better the quality provided, the higher the level of customer satisfaction.

Revisiting the authoritarian pattern in Turkey: transition to presidential system

ABSTRACT Systems of government have been an issue that has occupied Turkish politics periodically since the transition to multi-party politics. Most political leaders from the right-wing spectrum have repeatedly advocated the transition to a presidential system, which they considered an instrument for a fast and powerful executive branch. Following the constitutional amendments in the 2017 referendum, parliamentarism was replaced with the presidential government system. However, this dispute has not been settled yet. The opposition parties claimed that the presidential system would lead to a more authoritarian political regime, while the leading political party saw the amendments as tools to prevent a coalition government and sustain political stability. Inspired by these opposing views, this study aims to reveal the authoritarian shift generated by the 2017 constitutional amendments. It focuses on empirical findings to transcend the rational interpretations of the amendments. It concludes that even the two-and-a-half-years experience of the Turkish presidential system offers tangible proof of further authoritarianism.

Revisiting the authoritarian pattern in Turkey: transition to presidential system

ABSTRACT Systems of government have been an issue that has occupied Turkish politics periodically since the transition to multi-party politics. Most political leaders from the right-wing spectrum have repeatedly advocated the transition to a presidential system, which they considered an instrument for a fast and powerful executive branch. Following the constitutional amendments in the 2017 referendum, parliamentarism was replaced with the presidential government system. However, this dispute has not been settled yet. The opposition parties claimed that the presidential system would lead to a more authoritarian political regime, while the leading political party saw the amendments as tools to prevent a coalition government and sustain political stability. Inspired by these opposing views, this study aims to reveal the authoritarian shift generated by the 2017 constitutional amendments. It focuses on empirical findings to transcend the rational interpretations of the amendments. It concludes that even the two-and-a-half-years experience of the Turkish presidential system offers tangible proof of further authoritarianism.