Miracle-dz/UniFAR-FTUs huggingface dataset:
Coevolution of Economic and Industrial Linkages within the Land-Sea Industrial Structure of China

: The joint development of continental and marine economies has become an important driving force for the upgrading of industrial structures. However, because of the differences in resource endowment and development potential, developing industrial structures and the quality of economic development are uneven among regions. In this study, the added values of three land-sea industries in the three marine economic circles of northern, eastern, and southern China, were employed to clarify the evolutionary behavior of the industrial structure of these three circles on the land and sea; the synchronization, lag, equilibrium, and dislocation of developing the industrial structure were also explored which a gray relational model based on convex judgment and gray time difference analyses were used to construct a relational model from the static and dynamic aspects of the system, and the internal and external linkages of the industrial structure of the three circles were analyzed from the perspective of industrial correlation. The results show that: (1) Correlations among the linkages of the three economic circles in the marine industrial structure, both including and without temporal and spatial differences, and the marine feedback driver, differ markedly. (2) The effects of feedback for marine industrial development from the Eastern Marine Economic Circle were stronger, whereas those of the Southern Marine Economic Circle were weak and those of the Northern Marine Economic Circle were ambiguous. (3) A signiﬁcant difference was observed in the degree of coevolution among the land-sea industrial structures of these areas. The Northern Marine Economic Circle exhibited a slightly higher degree of coevolution than the other two economic circles, showing a stable trend of coevolution and wide spatial development. The eastern and southern circles displayed high degrees of coordination in developing their industrial structures. The research results provide a reference for regional adjustment and optimization of industrial structure.
On-Line Cable Condition Monitoring Using Natural Power Disturbances

On-line cable insulation condition monitoring can significantly reduce the outages caused by insulation failure. This paper proposes a new method to achieve this by utilizing the natural power disturbances originating from outside of the cable, such as capacitor switching and fault transients. In this method, the relative permittivity of the cable insulation is used as the indicator to be monitored, which is closely associated with cable tanδ. The relative permittivity is extracted from the power disturbances and their responses, which are of sufficient strength and a wide range of frequencies. This method is beneficial to the on-line monitoring for it does not need the accurate remote synchronized phase angle information. Case studies and sensitivity studies demonstrate the good performance of the proposed method.
Handwritten Arabic ( Indian ) Numerals Recognition using Expert System

The capability of a computer system to interpret intelligible handwritten data input and analyze it for many automated process system is the core of a handwriting character recognition system. Handwritten recognition plays a major role in many applications, such as cheques verification, office automation, natural human-computer interaction, as well as mail sorting. Procedures of handwritten numeral recognition have showed a remarkable contribution in order to improve the automation process and have developed human and machine interaction in several fields and applications. In this paper, the proposed approach is based on extraction of both local and global geometric features. The features are further quantified into a set of facts or conditions that are used for classification based on a set of rules as an expert system. In addition, sample handwritten images are tested with the proposed technique and the results are stated and accuracy rate is calculated based on a confusion matrix. The output showed that the recognition error rate in terms of False Rejection Rate (FRR) is 4 % or the overall successful accuracy is 96 %.
A Dual-Window DC Bus Interacting Method for DC Microgrids Hierarchical Control Scheme

Hierarchical control schemes have been commonly employed in dc microgrid controls, which combine local control, dc bus voltage coordination, and communication links to guarantee smart operation of dc microgrids. Conventional dc bus voltage regulation cannot conduct signal exchange. Therefore, external communication links are usually needed for hierarchical control schemes. However, once the communication link fails, the hierarchical control system will lose its ability to coordinate the distributed power smartly. This paper proposed a dual-window dc bus interacting (DBI) method to exchange information between the distributed energy sources, for the situations where communication link fails or is not available. A small-scale dc microgrid experimental system was set up, and a simple master-slave control scheme was implemented without communication link to demonstrate the feasibility of the proposed DBI method for dc microgrid controls. The expandability and immunity of the proposed DBI method were also evaluated.
Wireless Multifrequency Feature Set to Simplify Human 3-D Pose Estimation

We present a multifrequency feature set to detect driver's three-dimensional (3-D) head and torso movements from fluctuations in the radio frequency channel due to body movements. Current features used for movement detection are based on the time-of-flight, received signal strength, and channel state information and come with the limitations of coarse tracking, sensitivity toward multipath effects, and handling corrupted phase data, respectively. There is no standalone feature set that accurately detects small and large movements and determines the direction in 3-D space. We resolve this problem by using two radio signals at widely separated frequencies in a monostatic configuration. By combining information about displacement, velocity, and direction of movements derived from the Doppler effect at each frequency, we expand the number of existing features. We separate pitch, roll, and yaw movements of head from torso and arm. The extracted feature set is used to train a K-Nearest Neighbor classification algorithm, which could provide behavioral awareness to cars while being less invasive as compared to camera-based systems. The training results on data from four participants reveal that the classification accuracy is 77.4% at 1.8 GHz, it is 87.4% at 30 GHz, and multifrequency feature set improves the accuracy to 92%.
Electromagnetic Vibration Monitoring Method for Liquid Transfer Mode in Wire Feeding Based Laser Additive Manufacturing(WFLAM)

An electromagnetic vibration (EMV) method is proposed to monitor the molten drop transition form of the fusing wire (1-2 mm) during Laser Additive Manufacturing (LAM). The theoretic and mathematical model of monitoring system is established and the new prototype device is developed. Two different kinds of wire (magnetic and nonmagnetic fine welding wires) are respectively utilized to test and verify the ability of the vibration excitation and signal collection of the monitoring system. The experimental results show that the proposed EMV method is available. Based on the developed device, the relations is investigated between the molten drop transition form of fusing wire and the strength difference of the vibration excitation signal and environmental noise signal. The results show that the strength difference of the vibration excitation signal is lower than that of the environmental noise signal (about −70 dB) in droplet transition form while the former (about −67-62 dB) is stronger than the latter in liquid bridge transition. The present work is useful to monitor the molten drop transition form of fusing wire in LAM.
3D shape object reconstruction with non-Lambertian surface from multiple views based on deep learning

The 3-D reconstruction is relative to constructing a mathematical representation of the scene geometric. In most existing approaches, Lambert's law of the object reflectivity in the scene is explicitly or implicitly assumed. In practice, the law of reflectivity of scene objects differs from Lambert's law as, for example, objects with properties: semi-transparent, transparent, specular, with subsurface scattering effects. This paper proposes an algorithm to estimate a surface reflectance model of 3-D shape and parameters from multiple views. The proposed algorithm includes the following steps: 1) determination of the optical properties of the scanned scene by separating the direct and global lighting components using high-frequency templates; 2) generation of a set of patterns of structured light, the structure of which depends on the optical properties of the scanned scene; 3) scanning the scene using the generated structured light patterns for views non- Lambertian surface; 4) construction of a 3-D model of the scene by triangulating methodology. To solve the problem of determining the views non-Lambertian surface, a 3-D reconstruction algorithm based on a convolutional neural network is proposed. To train the neural network, we apply two stages. At the first stage, the encoder is trained for the descriptor description of the input image. In the second step, a fully connected neural network is added to the encoder for regression for choosing the best views. The coder is trained using the generative adversarial methodology to construct a descriptor description that stores spatial information and information about the optical properties of surfaces located in different areas of the image. The codec network is trained to recover the defect map (depends directly on the sensor and scene properties) from a color image. The architecture of the neural network (generator) is based on the U-Net architecture. As a result, this method uses non-Lambertian properties, and it can compensate for triangulation reconstruction errors caused by viewdependent reflections. Experimental results on both synthetic and real objects are given.
Dietary change without caloric restriction maintains a youthful profile in ageing yeast

Caloric restriction increases lifespan and improves ageing health, but it is unknown whether these outcomes can be separated or achieved through less severe interventions. Here we show that an unrestricted galactose diet in early life minimises change during replicative ageing in budding yeast, irrespective of diet later in life. Lifespan and average mother cell division rate are comparable between glucose and galactose diets, but markers of senescence and the progressive dysregulation of gene expression observed on glucose are minimal on galactose, showing these to be associated rather than intrinsic aspects of the replicative ageing process. Respiration on galactose is critical for minimising hallmarks of ageing, and forced respiration during ageing on glucose by over-expression of the mitochondrial biogenesis factor Hap4 also has the same effect though only in a fraction of cells. This fraction maintains Hap4 activity to advanced age with low senescence and a youthful gene expression profile, whereas other cells in the same population lose Hap4 activity, undergo dramatic dysregulation of gene expression and accumulate fragments of chromosome XII (ChrXIIr), which are tightly associated with senescence. Our findings support the existence of two separable ageing trajectories in yeast. We propose that a complete shift to the healthy ageing mode can be achieved in wild-type cells through dietary change in early life without restriction.
The catalase contributes to microaerophilic H2O2 priming and the peroxiredoxins AhpC, Tpx and Bcp confer resistance to organic hydroperoxides in Staphylococcus aureus

Staphylococcus aureus is a major human pathogen, which has to cope with oxidative stress as part of the host innate immune defense under macrophage and neutrophil infections. In this study, we have investigated the role of the catalase KatA and the peroxiredoxins AhpC, Tpx, and Bcp for priming and resistance under oxidative stress in S. aureus during aerobic and microaerophilic growth. The results revealed that S. aureus is resistant to high doses of up-to 100 mM H2O2 during the aerobic growth. While KatA is essential for this high aerobic H2O2 resistance, the peroxiredoxin AhpC contributes to detoxification of 0.4 mM H2O2 in the absence of KatA. In addition, AhpC, Tpx and Bcp were shown to be required for detoxification of cumene hydroperoxide (CHP) and regeneration of the reduced state of the bacillithiol (BSH) redox potential during recovery from CHP stress in S. aureus. The high H2O2 tolerance of aerobic S. aureus cells was associated with priming by endogenous H2O2 levels, which was supported by an oxidative shift of the basal level of EBSH (−291 mV) compared to that in microaerophilic cells (−310 mV). In contrast, S. aureus can be primed by sub-lethal doses of 100 µM H2O2 during the microaerophilic growth to acquire an improved resistance towards the otherwise lethal triggering stimulus of 10 mM H2O2. This microaerophilic priming was dependent on increased katA transcription and elevated KatA activity, whereas aerobic control cells showed already constitutive high KatA activity. Thus, KatA is the major player contributing to the high H2O2 resistance of aerobic cells and to microaerophilic H2O2 priming to survive the subsequent lethal triggering doses of H2O2, allowing the adaptation of S. aureus to oxidative stress under infections in different oxygen environments.
On the total coloring of planar graphs.

The total coloring of a graph G is a coloring of its vertices and edges in which any two adjacent or incident elements of F(G)u£(G) are colored with different colors. Behzad [1] and Vizing [9] conjectured independently that the total chromatic number χ, (G) of any graph G with the maximum degree A (G) is at most A (G) + 2. This conjecture was confirmed for A (G) = 3 by Vijayaditya [8] and for A (G) ̂ 5 by Kostochka [4]. The entire coloring of a planar graph G is a coloring of its vertices, edges and faces in a similar fashion. Kronk and Mitchem [6] conjectured the bound Xe(G) ^ A (G) + 4 and proved it for A (G) = 3. I proved in [2] :
A Health System’s Preparedness for the “Next Ebola”

We share lessons learned from a collaborative in situ simulation of Ebola preparedness for a large health region. The lessons are to use proactive analysis, undertake in situ simulation, and have professionals in infection prevention and control and those in human factors collaborate. These lessons are applicable as generalizable concepts, not only to Ebola preparedness but also to other infectious diseases, including the “next Ebola. ” Implementing these concepts will help contribute to improvements in both patient and provider safety.
Lowpass–Bandpass Triplexer Integrated Switch Design Using Common Lumped-Element Triple-Resonance Resonator Technique

This paper presents a lowpass–bandpass triplexer integrated switch using common lumped-element triple-resonance resonator (LE-TRR) technique. First, a lowpass–bandpass triplexer that has one lowpass channel (LPC) and two bandpass channels (BPCs) is designed. The proposed lowpass–bandpass triplexer design method is different from the conventional lowpass–bandpass multiplexer in which the feeding line is designed with lowpass response to combine bandpass structures to form lowpass–bandpass response. In this design, one branch of LE-TRR together with inductors and capacitors and another two branches of LE-TRR together with classical LC resonators are proposed to constitute one LPC and two BPCs, respectively. The LPC design combines the lowpass transformation method and parameters optimization, and two BPCs can be synthesized by classical coupled-resonator filter design theory. The designed lowpass–bandpass triplexer exhibits extremely compact size of ${\text{0.125}}\lambda _{{\rm{g}}} \times {\text{0.086}}\lambda _{{\rm{g}}}$, and also has merits of low insertion loss, good return loss, wide bandwidth, and high port-to-port isolation. And then, p-i-n diodes are loaded on the lowpass–bandpass triplexer to realize a lowpass–bandpass triplexer integrated switch that combines both the triplexer and microwave switch function. One LPC and two BPCs are able to be switched on/off separately, and the lowpass–bandpass triplexer integrated switch has eight independent states in total. The off-state suppression of LPC is better than 36 dB, and the off-state suppression of two BPCs are better than 46 and 45 dB, respectively.
Analytical solution for dynamic response of curved rail subjected to moving train

The objective of this paper is to present an analytical solution for the dynamic response of curved rail. The detailed solution was derived for the out-of-plane vibration response of periodically supported curved Timoshenko beam subjected to moving loads. The accuracy of the solution was validated based on the results from previous study. Furthermore, the train/track interaction model was introduced into this solution to calculate the rail dynamic response in Beijing metro. The results presented herein indicated that the solution provided accurate results in comparison with both the result from previous study and the measurement data collected from Beijing metro and it can be used to derive the dynamic response for similar situations.
Amphipoda

The marine Amphipoda of the Plymouth area, as a group, were last given attention in the middle 1930's by Crawford (1936,1937). Renewed investigation after the lapse of 15 years has indicated that knowledge of species present was by no means complete, or that some changes have occurred in the interval, or both. In a recent survey of the amphipod fauna of the Isle of Man, Jones (1948) found no indication of the existence of undescribed species, nor even of known species previously unrecorded from Britain. The experience at Plymouth has been quite the reverse.
Liveness characteristic analysis of a class of Petri nets

Petri nets are an effective tool for analyzing and modeling the dynamic behavior of flexible manufacturing systems. Finite capacity systems of simple sequential processes with resources are an important subclass of Petri nets, for which this article gives a liveness characteristic analysis. First, an effective algorithm for deciding the liveness of finite capacity systems of simple sequential processes with resources is developed by analyzing the relation between the structural properties of resource subnets and the strict minimal siphons. Then, a liveness condition of finite capacity systems of simple sequential processes with resources is accordingly established. Based on the proposed liveness condition, an algorithm for configuring an initial marking for a finite capacity systems of simple sequential processes with resources is given, and therefore, a live finite capacity systems of simple sequential processes with resources net with a configured initial marking can be obtained, which avoids the siphon enumerations and the addition of any control actions. It is shown that the computational complexity of both the developed liveness deciding and the initial marking configuration algorithms is polynomial. Examples are finally provided to illustrate the mentioned results.
Deconstructing the Nucleus to Elucidate Cellular Pliancy in the Retina

We define cellular pliancy as the ability of a cell to adapt and respond to stress, injury or disease. Cells with low pliancy have a lower ability to respond to stress, and as a result are more prone to death. Cells with high pliancy are much more adaptable, able to survive stressful conditions, and even be prone to re-enter the cell cycle, potentially creating a permissive state for cancer initiation. We have proposed that the purposeful organization of the genome in the nucleus contributes to cell type specific pliancy. The neural retina proves to be an ideal model to study this trait, as it contains several different cell types from one common progenitor, that span the spectrum of pliancy behavior[1]. Since the model of cellular pliancy hypothesizes that the adaptability of a cell depends on its ability to access responsive genes in times of stress, the way that specific gene organization affects cellular function needs to be fully understood. general that the structure of the nucleus a
Extraction of affective responses from customer reviews: an opinion mining and machine learning approach

ABSTRACT Kansei Engineering (KE) is a user-oriented technology combing customer psychological feelings and engineering for designing and developing products. Conventionally, questionnaire surveys have been extensively applied for understanding customers’ affective demands, responses and evaluations. However, the questionnaire is usually time-consuming, labour-intensive and small in data size. Online customer reviews provide trustable, continuously updated and free customers’ responses. Existing studies generally focus on the polarity classification of the positivity and negativity of the review texts. This study proposes an opinion mining approach based on KE and machine learning to extract and measure users’ affective responses to products from online customer reviews. Five types of machine learning algorithms are applied, including Support Vector Machine (SVM), Support Vector Regression (SVR), Classification and Regression Tree (CART), Multi-Layer Perceptron (MLP) and Ridge Regression (RR). An experiment has been conducted to illustrate the proposed approach. The results show that SVM+SVR is the best performer. It achieved a recall, precision and score of more than 80% for the classification of the soft-hard attribute with the smallest mean square error. Based on the proposed method, designers and manufacturers can effectively know customers’ responses to products through inputting the review texts to facilitate the process of product design.
Strain Distribution Analysis during Tensile Deformation of Silicon Nanowire with 4D-STEM

Deformation in materials is a multiscale problem, which is usually identified by three characteristic length scales: atomic scale, micrometer scale, and macroscale [1]. The atomistic deformation, including lattice distortion and dislocation interactions, results in various deformation mechanisms [2-7]. Although the deformation at the large scale is regarded as the average of the atomic scale properties [1], the connection between atomic scale and larger length scales is unclear. The statistical distribution of the lattice distortion at a specific tensile strain can correlate the atomic-level strain to micro/macro strain, if the strain in both dimensions can be measured simultaneously. In this work, we preformed four-dimensional scanning transmission electron microscopy (4D-STEM) during in-situ TEM tensile test to bridge the global tensile strain with maps of the local lattice distortion on silicon (Si) nanowires. The in-situ tensile test was carried out at room temperature using a MEMS based mechanical testing stage. The single crystalline Si nanowire was clamped on the sample stage ( Fig. 1a) , with its length of about 3 μm and its diameter of about 200 nm. The HRTEM image ( Fig. 1b ) and the diffraction pattern ( Fig. 1c ) indicate that the sample is in its [111] zone-axis. During the tensile test, the MEMS applied a uniaxial tensile force on the nanowire, resulting in lattice distortions and increasing strain in the nanowire. The tensile strain on the nanowire was measured by the method based on digital image correlation [7]. In situ 4D-STEM data was captured by a Thermo Scientific Titan aberration corrected STEM equipped with an EMPAD