Search

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study investigates the development of the Hat monotile, a singular tile designed by David Smith and his team, capable of covering surfaces with unique, non-repeating, aperiodic patterns. We enhance this tiling concept by integrating diverse motifs into the Hat monotile, improving its attractiveness and adaptability. Utilizing computational tools, we experiment with these tiles to assess their potential in architecture, specifically focusing on their ability to innovate facade designs through simplified fabrication processes, cost reduction, and greater design flexibility. Our research demonstrates the practical applications of these distinctive patterns, bridging the gap between mathematical theories and architectural implementation. The objective is to encourage further exploration and innovation in applying aperiodic patterns, underlining their potential to discover the beauty in asymmetrical forms. [ABSTRACT FROM AUTHOR]

Purpose: The human body has the same basic size data but has different surface morphology, resulting in the unfitness even under the same size specification. The purpose of this study was to solve the local fitness problems by representing and quantifying the human surface morphological difference. Design/methodology/approach: Firstly, the 3D point cloud for 323 female students was scanned, and the cross-section layers of the "waist-to-thigh" zone were determined. Secondly, the space vector based on the space Euclidean distance was extracted to represent and quantify the surface morphological difference. And the Principal Component Analysis and K-means were adopted to subdivide the target zone. Thirdly, the pattern based on the subdivision results and surface flattening was generated. Additionally, the fitness was evaluated by the subjective and objective assessments, separately. Findings: The space vector could represent and quantify the shape morphology of the "waist-to-thigh" zone. It had successfully achieved the human body subdivision and corresponding pattern generation for the "waist-to-thigh" zone. And the pattern based on the shape subdivision and surface flattening of the space vector could effectively improve the wearing fitness. Particularly in the waist and crotch area of trousers, the obvious wrinkles had been solved because the space vector is more in line with the shape morphology characteristics. Originality/value: The proposed method could represent and quantify the difference in human surface morphology in a 3D manner. It solved the unfitness problem caused by the same body size but different shape surface morphology. And it will contribute to the fitness improvement of the trousers. [ABSTRACT FROM AUTHOR]

Camouflage refers to an essential means of protection for military reconnaissance. However, the traditional method of camouflage image generation does not allow for end-to-end generation. The algorithm of Cycle Generative Adversarial Network adopted in this article can not only keep the features of original pictures but also realize the end-to-end generation, which can better solve seasonal problems better. The generation model and the discrimination model are trained using the concept of the cyclic confrontation game of Cycle GAN. In the training process, the loss function served to stimulate the background image and camouflage images mapping to each other. The generated image is captured into the recognition model for recognition, so as to provide feedback on the findings. Finally, the camouflage image with background image characteristics is output to realize the generation of an end-to-end camouflage image. The camouflage evaluation index is used to detect the quality of color, texture, and edge of the experimental output image. The generated image shows a good camouflage effect in the color, texture, and comparison of edges, thus verifying the effectiveness of the practical scheme. [ABSTRACT FROM AUTHOR]

This paper introduces an AI-assisted pattern generator, aimed to simplify garment design by flattening the pattern creation in an automated process from 3D scans for users without knowledge of conventional pattern construction. This garment tool plug-in computerizes the development of scanned persons into 3D shell surface meshes, which are automatically unwrapped into 2D patterns, streamlining the traditionally complex aspects of garment design for novices. The process uses advanced AI algorithms to facilitate the conversion of 3D scans into usable patterns. Machine learning adapts to different garment styles (close-fitting, regular fit and loose-fitting), ensuring a broad applicability, while customization options allow a precise adaption to individual body measurements. This AI-assisted tool enables a wider audience to generate customized garment creation.

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In general, sound waves propagate radially outwards from a point source. These waves will continue in the same direction, decreasing in intensity, unless a boundary condition is met. To arrive at a universal understanding of the relation between frequency and wave propagation within spatial boundaries, we explore the maximum entropy states that are realized as resonant modes. For both circular and polygonal Chladni plates, a model is presented that successfully recreates the nodal line patterns to a first approximation. We discuss the benefits of such a model and the future work necessary to develop the model to its full predictive ability. [ABSTRACT FROM AUTHOR]

We consider the problem of three-dimensional cutting of a large block that is to be cut into some small block pieces, each with a specific size and request. Pattern generation is an algorithm that has been used to determine cutting patterns in one-dimensional and two-dimensional problems. The purpose of this study is to modify the pattern generation algorithm so that it can be used in three-dimensional problems, and can determine the cutting pattern with the minimum possible cutting residue. The large block will be cut based on the length, width, and height. The rest of the cuts will be cut back if possible to minimize the rest. For three-dimensional problems, we consider the variant in which orthogonal rotation is allowed. By allowing the remainder of the initial cut to be rotated, the dimensions will have six permutations. The result of the calculation using the pattern generation algorithm for three-dimensional problems is that all possible cutting patterns are obtained but there are repetitive patterns because they suggest the same number of cuts.

Self-reproducing feature of cellular automata is one of the most important aim from the beginnings. In this article we show binary (2-state) infinite grid self-reproducing automata which reproduce (few copies) of the original pattern in various grids. For the three regular grids we prove their behavior based on path-counting. Similar machine also works on many semi-regular tilings. Moreover, we show that in some stage, by removing the copies and keeping only central embryo part of the pattern, it is able to reconstruct the pattern to be copied. To illustrate the self-reproduction various patterns are reproduced in various tessellations. [ABSTRACT FROM AUTHOR]

Copyright of Industria Textila is the property of Institutul National de Cercetare-Dezvoltare pentru Textile si Pielarie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The rapidly increasing use of the internet has led to an increase in new devices and technologies; however, attack and security violations have grown exponentially as well. In order to detect and prevent attacks, an Intrusion Detection System (IDS) is proposed using Logical Analysis of Data (LAD). Logical Analysis of Data is a data analysis technique that classifies data as either normal or an attack based on patterns. A pattern generation approach is discussed using the concept of Boolean functions. The IDS model is trained and tested using the Bot-IoT dataset. The model achieves an accuracy of 99.98%, and is able to detect new attacks with good precision and recall. [ABSTRACT FROM AUTHOR]

To determine the computational capacity of cellular automata they are often investigated towards their ability to accept formal languages within certain time constraints. In this paper, we take up an opposite position and look at cellular automata towards their ability to generate patterns, within certain time constraints. As an example we describe a construction of a cellular automaton that generates prefixes of the Oldenburger–Kolakoski sequence within real time. Furthermore, we study the real-time generation of unary and non-unary patterns in depth. In the unary case, we obtain a characterization by time-constructible functions and their corresponding unary formal languages. In the non-unary case, we provide constructions that generate any arbitrary given properly thin context-free language as well as all prefixes of any given automatic sequence. [ABSTRACT FROM AUTHOR]

Focused beams of helium ions are a powerful tool for high-fidelity machining with spatial precision below 5 nm. Achieving such a high patterning precision over large areas and for different materials in a reproducible manner, however, is not trivial. Here, we introduce the Python toolbox FIB-o-mat for automated pattern creation and optimization, providing full flexibility to accomplish demanding patterning tasks. FIB-o-mat offers high-level pattern creation, enabling high-fidelity large-area patterning and systematic variations in geometry and raster settings. It also offers low-level beam path creation, providing full control over the beam movement and including sophisticated optimization tools. Three applications showcasing the potential of He ion beam nanofabrication for two-dimensional material systems and devices using FIB-o-mat are presented.

Previously our computational modeling studies (Phillips et al., 2019) proposed that neuronal persistent sodium current (INaP) and calcium-activated non-selective cation current (ICAN) are key biophysical factors that, respectively, generate inspiratory rhythm and burst pattern in the mammalian preBötzinger complex (preBötC) respiratory oscillator isolated in vitro. Here, we experimentally tested and confirmed three predictions of the model from new simulations concerning the roles of INaP and ICAN: (1) INaP and ICAN blockade have opposite effects on the relationship between network excitability and preBötC rhythmic activity; (2) INaP is essential for preBötC rhythmogenesis; and (3) ICAN is essential for generating the amplitude of rhythmic output but not rhythm generation. These predictions were confirmed via optogenetic manipulations of preBötC network excitability during graded INaP or ICAN blockade by pharmacological manipulations in slices in vitro containing the rhythmically active preBötC from the medulla oblongata of neonatal mice. Our results support and advance the hypothesis that INaP and ICAN mechanistically underlie rhythm and inspiratory burst pattern generation, respectively, in the isolated preBötC.

The formation of patterns is one of the main stages in logical data analysis. Fuzzy approaches to pattern generation in logical analysis of data allow the pattern to cover not only objects of the target class, but also a certain proportion of objects of the opposite class. In this case, pattern search is an optimization problem with the maximum coverage of the target class as an objective function, and some allowed coverage of the opposite class as a constraint. We propose a more flexible and symmetric optimization model which does not impose a strict restriction on the pattern coverage of the opposite class observations. Instead, our model converts such a restriction (purity restriction) into an additional criterion. Both, coverage of the target class and the opposite class are two objective functions of the optimization problem. The search for a balance of these criteria is the essence of the proposed optimization method. We propose a modified evolutionary algorithm based on the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to solve this problem. The new algorithm uses pattern formation as an approximation of the Pareto set and considers the solution's representation in logical analysis of data and the informativeness of patterns. We have tested our approach on two applied medical problems of classification under conditions of sample asymmetry: one class significantly dominated the other. The classification results were comparable and, in some cases, better than the results of commonly used machine learning algorithms in terms of accuracy, without losing the interpretability. [ABSTRACT FROM AUTHOR]

As a connecting component of tubes, the elbow is indispensable to pipe-fitting in composite products. Previous studies have addressed methods for generating winding paths based on parametric equations on the elbow. However, these methods are unsuitable for elbows whose surfaces are difficult to describe using mathematical expressions. In this study, a geometric method was proposed for generating winding patterns for various elbow types. With this method, the mandrel surface is first converted into uniform and high-quality quadrilateral elements; an algorithm is then provided for calculating the minimum winding angle for bridging-free. Next, an angle for non-bridging was defined as the design-winding angle to generate the uniform and slippage-free basic winding paths on the quadrilateral elements in non-geodesic directions. Finally, after a series of uniform points were calculated on the selected vertical edge according to the elbow type, the pattern paths were generated with the uniform points and basic paths. The proposed method is advantageously not limited to the elbow's shape. [ABSTRACT FROM AUTHOR]

Peptide neuromodulation has been implicated to shield neuronal activity from acute temperature changes that can otherwise lead to loss of motor control or failure of vital behaviors. However, the cellular actions neuropeptides elicit to support temperature- robust activity remain unknown. Here, we find that peptide neuromodulation restores rhythmic bursting in temperature-compromised central pattern generator (CPG) neurons by counteracting membrane shunt and increasing dendritic electrical spread. We show that acutely rising temperatures reduced spike generation and interrupted ongoing rhythmic motor activity in the crustacean gastric mill CPG. Neuronal release and extrinsic application of Cancer borealis tachykinin-related peptide Ia (CabTRP Ia), a substance-P-related peptide, restored rhythmic activity. Warming led to a significant decrease in membrane resistance and a shunting of the dendritic signals in the main gastric mill CPG neuron. Using a combination of fluorescent calcium imaging and electrophysiology, we observed that postsynaptic potentials and antidromic action potentials propagated less far within the dendritic neuropil as the system warmed. In the presence of CabTRP Ia, membrane shunt decreased and both postsynaptic potentials and antidromic action potentials propagated farther. At elevated temperatures, CabTRP Ia restored dendritic electrical spread or extended it beyond that at cold temperatures. Selective introduction of the CabTRP Ia conductance using a dynamic clamp demonstrated that the CabTRP Ia voltage-dependent conductance was sufficient to restore rhythmic bursting. Our findings demonstrate that a substance-P-related neuropeptide can boost dendritic electrical spread to maintain neuronal activity when perturbed and reveals key neurophysiological components of neuropeptide actions that support pattern generation in temperature-compromised conditions. [ABSTRACT FROM AUTHOR]

Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? In this paper we create a featured data set from program traces at run time, either during its regular life, or during its testing phase. This data set represents execution traces of relevant variables including inputs, outputs, intermediate variables, and invariant checks. During a learning mining step, we start from exhaustive random training input sets and map program traces to a minimal set of conceptual patterns. We employ formal concept analysis to do this in an incremental way, and without losing dependencies between data set features. This set of patterns becomes a reference for checking the normality of future program executions as it captures invariant functional dependencies between the variables that need to be preserved during execution. During the learning step, we consider enough input classes corresponding to the different patterns by using random input selection until reaching stability of the set of patterns (i.e. the set is almost no longer changing, and only negligible new patterns are not reducible to it). Experimental results show that the generated patterns are significant in representing normal program executions. They also enable the detection of different executable code contamination at early stages. The proposed method is general and modular. If applied systematically, it enhances software resilience against abnormal and unpredictable events.

High-strength, continuous and uniform filament winding patterns remain challenging to find for non-axisymmetric models under various loading conditions. In this study, various loading conditions are considered in the development of an algorithm for generating uniform winding patterns for axisymmetric and non-axisymmetric mandrel models with flexible rotation at the ends of the mandrel. First, the mandrel surface is divided into sections by uniform quadrilateral elements and the ideal winding angle at each boundary is calculated based on the stress field. Then, stability analysis is used to calculate suitable winding angles as close as possible to the ideal winding angle for each boundary. These suitable winding angles can be used to generate the uniform winding pattern maintaining non-slippage and non-bridging while realizing flexible rotation at both ends of the mandrel. Finally, uniform patterns for various mandrel models are generated based on their respective suitable winding angles. Stress analysis result demonstrates that the wound mandrel generated by the proposed method can have better carrying capacity. [ABSTRACT FROM AUTHOR]

In contrast to many investigations of cellular automata with regard to their ability to accept inputs under certain time constraints, in this paper we are studying cellular automata with regard to their ability to generate strings in real time. Structural properties such as speedup results and closure properties are investigated. On the one hand, constructions for the closure under intersection, reversal and lengthpreserving homomorphism are presented, whereas on the other hand the nonclosure under union, complementation and arbitrary homomorphism are obtained. Finally, decidability questions such as emptiness, finiteness, equivalence, inclusion, regularity and context-freeness are addressed. [ABSTRACT FROM AUTHOR]

Background: Digital Image Correlation (DIC) is based on the matching, between reference and deformed state images, of features contained in patterns that are deposited on test sample surfaces. These features are often suitable for a single scale, and there is a current lack of multiscale patterns capable of providing reliable displacement measurements over a wide range of scales. Objective: Here, we aim to demonstrate that a pattern based on a fractal (self-affine) surface would make a suitable pattern for multiscale DIC. Methods: A method to numerically generate patterns directly from a desired auto-correlation function is introduced. It is then enhanced by a Mean Intensity Gradient (MIG) improvement process based on grey level redistribution. Numerical experiments at multiple scales are performed for two different imposed displacement fields and results for one of the patterns generated are compared with those obtained for a random pattern and a Perlin noise one. Results: The proposed pattern is shown to lead to DIC errors comparable to those found with the two others for the first scales, but has much greater robustness. More importantly, the pattern generated here exhibits stable errors and robustness with respect to the scale whereas these two outputs become significantly degraded for the other two patterns as the scale increases. Conclusions: As a result, scale invariance properties of the pattern based on fractal surfaces correspond to scale invariance in DIC errors as well. This is of great interest regarding the use of such patterns in multiscale DIC. [ABSTRACT FROM AUTHOR]

Mechanistic capabilities found in nature have influenced a variety of successful functional designs in engineering. However, the unique combinations of mechanical properties found in natural materials have not been readily adapted into synthetic materials, due to a disconnect between biological principles and engineering applications. Current biomimetic material approaches tend to involve mimicking nature's microstructure geometries or mimicking nature's adaptive design process through brute force element-by-element composite optimization techniques. While the adaptive approach promotes the generation of application-specific microstructure geometries, the element-by-element optimization techniques encompass a large design space that is directly related to the number of elements in the system. In contrast, a novel methodology is proposed in this paper that merges biological pattern generation mechanisms observed in the Gray-Scott model, with an evolutionary-inspired genetic algorithm to create adaptive bio-inspired composite geometries optimized for stiffness and toughness. The results reveal that this methodology significantly reduces the optimization parameter space from tens of thousands of parameters to only four or five. In addition, the resultant composite geometries improved upon the overall combination of stiffness and toughness by a factor of 13, when compared to published brute force element-by-element techniques.

Abstract Background Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal information extraction, few work is satisfactory for multi-lingual heterogeneous clinical texts. Methods A novel method called TEER is proposed for both multi-lingual temporal expression extraction and normalization from various types of narrative clinical texts including clinical data requests, clinical notes, and clinical trial summaries. TEER is characterized as temporal feature summarization, heuristic rule generation, and automatic pattern learning. By representing a temporal expression as a triple , TEER identifies temporal mentions M, assigns type attributes A to M, and normalizes the values of M into formal representations N. Results Based on two heterogeneous clinical text datasets: 400 actual clinical requests in English and 1459 clinical discharge summaries in Chinese. TEER was compared with six state-of-the-art baselines. The results showed that TEER achieved a precision of 0.948 and a recall of 0.877 on the English clinical requests, while a precision of 0.941 and a recall of 0.932 on the Chinese discharge summaries. Conclusions An automated method TEER for multi-lingual temporal expression extraction was presented. Based on the two datasets containing heterogeneous clinical texts, the comparison results demonstrated the effectiveness of the TEER method in multi-lingual temporal expression extraction from heterogeneous narrative clinical texts.

Copyright of Journal of Zhejiang University (Science Edition) is the property of Journal of Zhejiang University (Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper describes about selective deposition of material for pattern generation. The process is carried out using masking technique and by deposition of constituent material of powder metallurgical (P/M) green compact tool at selected area of aluminium work surface in Electro Discharge Machining (EDM) process. The process is carried out to generate line pattern with a hard layer of tungsten and copper at the selected area. Thus, it can improve surface integrity of aluminium substrate while maintaining its overall lightness. P/M tool, positive polarity of tool and hydrocarbon dielectric are used to achieve appreciable amount of material transfer from tool to work surface. The average deviation of material deposition from predefined boundary line is evaluated as edge roughness of the pattern. Taguchi Design of Experiment is used to perform Analysis of Variance (ANOVA) and Overall Evaluation Criteria (OEC) for its parametric study. The surface roughness is obtained in the range of 4.7–10.55 μ m and edge roughness in the range of 36.49–56.82 μ m in various working conditions. However, surface roughness of 4.00 μ m and edge roughness of 21.47 μ m are achieved at the optimum condition. [ABSTRACT FROM AUTHOR]

This paper investigates square Kufic scripts, a type of architectural decorative art in Islamic culture, as a visual pattern. Considerable research has been carried out previously on the subject, treating the square Kufic scripts as text. In contrast, the visual approach of this paper proposes that the pattern generation in Kufic scripts needs to be investigated. The main contribution of this research is presenting a novel algorithm to create square Kufic patterns that can totally cover a planar shape. In traditional definitions, such a pattern is called mushkil ('complicated') being special because of the "readability" of both black and white words, by its own criteria. The design principles implemented in the algorithm are adopted from original written sources. Also, some new principles are proposed here to make up for the limited availability of sources. In comparison to other methods, the proposed method is much simpler and more effective in terms of formal analysis and generation. [ABSTRACT FROM AUTHOR]

Mature locomotion involves modular spinal drives generating a set of fundamental patterns of motoneuron activation, each timed at a specific phase of locomotor cycles and associated with a stable muscle synergy. How locomotor modules develop and to what extent they depend on prior experience or intrinsic programs remains unclear. To address these issues, we herein leverage the presence at birth of two types of locomotor-like movements, spontaneous kicking and weight-bearing stepping. The former is expressed thousands of times in utero and postnatally, whereas the latter is elicited de novo by placing the newborn on the ground for the first time. We found that the neuromuscular modules of stepping and kicking differ substantially. Neonates kicked with an adult-like number of temporal activation patterns, which lacked a stable association with systematic muscle synergies across movements. However, on the ground neonates stepped with fewer temporal patterns but all structured in stable synergies. Since kicking and ground-stepping coexist at birth, switching between the two behaviors may depend on a dynamic reconfiguration of the underlying neural circuits as a function of sensory feedback from surface contact. We tracked the development of ground-stepping in 4- to 48-mo-old infants and found that, after the age of 6 mo, the number of temporal patterns increased progressively, reaching adult-like conformation only after independent walking was established. We surmise that mature locomotor modules may derive by combining the multiple patterns of repeated kicking, on the one hand, with synergies resulting from fractionation of those revealed by sporadic weight-bearing stepping, on the other hand. [ABSTRACT FROM AUTHOR]

Big data refers to the data sets that are difficult to deal with traditional data processing applications because of its speed, size and variety of data. The big data were generated from activities, sensing devices, mobile devices, Internet, RFID readers etc. One of the key sources of big data is the data from the sensor. The significant amounts of the data from the sensor are either redundant or almost similar. It initiates the requirement of de-duplication of the sensor data. The data from the sensors need to be stored for further process or analysis which requires end-to-end security for the data. A method is proposed in this paper for detecting the similar data with light-weight process using pattern analysis and matching. The distributed encoding process is proposed here for imposing end-to-end security for the generated data with reduced communication overhead. The data received in the processing server are decoded, analyzed and matched with patterns for removing similar and duplicated data. The result shows that the proposed system secures data during transmission with light-weighted processes. The duplicated and similar data are detected efficiently through inline process before the data enter into the storage. Experimental results are given as proof of the above mentioned concept. [ABSTRACT FROM AUTHOR]

Motor patterns in legged vertebrates show modularity in both young and adult animals, comprising motor synergies or primitives. Are such spinal modules observed in young mammals conserved into adulthood or altered? Conceivably, early circuit modules alter radically through experience and descending pathways' activity.We analyze lumbarmotor patterns of intact adult rats and the same rats after spinal transection and compare these with adult rats spinal transected 5 days postnatally, before most motor experience, using only rats that never developed hind limb weight bearing. We use independent component analysis (ICA) to extract synergies from electromyography (EMG). ICA information-based methods identify both weakly active and strongly active synergies. We compare all spatial synergies and their activation/drive strengths as proxies of spinal modules and their underlying circuits. Remarkably, we find that spatial primitives/synergies of adult injured and neonatal injured rats differed insignificantly, despite different developmental histories. However, intact rats possess some synergies that differ significantly, although modestly, in spatial structure. Rats injured as adults were more similar in modularity to rats that had neonatal spinal transection than to themselves before injury.We surmise that spinal circuit modules for spatial synergy patterns may be determined early, before postnatal day 5 (P5), and remain largely unaltered by subsequent development or weight-bearing experience. An alternative explanation but equally important is that, after complete spinal transection, both neonatal and mature adult spinal cords rapidly converge to common synergy sets. This fundamental or convergent synergy circuitry, fully determined by P5, is revealed after spinal cord transection. [ABSTRACT FROM AUTHOR]

Rhythmic locomotor activity, such as flying, swimming, or walking, results from an interplay between higher-order centers in the central nervous system, which initiate, maintain, and modify task-specific motor activity, downstream central pattern-generating neural circuits (CPGs) that can generate a default rhythmic motor output, and, finally, feedback from sense organs that modify basic motor activity toward functionality. 1,2,3 In this context, CPGs provide phasic synaptic drive to motor neurons (MNs) and thereby support the generation of rhythmic activity for locomotion. We analyzed the synaptic drive that the leg MNs supplying the three main leg joints receive from CPGs in pharmacologically activated and deafferented preparations of the stick insect (Carausius morosus). We show that premotor CPGs pattern the tonic activity of five of the six leg MN pools by phasic inhibitory synaptic drive. These are the antagonistic MN pools supplying the thoraco-coxal joint and the femur-tibial joint 4,5 and the levator MN pool supplying the coxa-trochanteral (CTr) joint. In contrast, rhythmic activity of the depressor MN pool supplying the CTr joint was found to be primarily based on a phasic excitatory drive. This difference is likely related to the pivotal role of the depressor muscle in generating leg stance during any walking situation. Thus, our results provide evidence for qualitatively differing mechanisms to generate rhythmic activity between MN pools in the same locomotor system. • Synaptic drive of CPG networks to leg motor neurons is pool specific • Protractor, retractor, and levator motor neurons receive a phasic inhibitory drive • Exclusively, depressor motor neurons receive phasic excitatory drive Ruthe et al. analyze the synaptic drive that central pattern-generating networks provide to leg motor neuron pools of an insect leg. Only the motor neuron pool supplying the depressor trochanteris muscle receives a primarily phasic excitatory synaptic drive, while all other motor neuron pools receive an exclusively phasic inhibitory drive. [ABSTRACT FROM AUTHOR]

It is a known fact that there are more possibilities in nature than human brain can conceive. This phenomenon is more pronounced in fabric industry where experts struggle daily for creation of new fabric patterns when in reality the number of patterns seems infinite. In this research, we developed a system that will complements human reasoning in creation of more possible fabric patterns in locally made fabric in Nigeria. The possibility of Genetic Algorithm for pattern generation in textile production processes is investigated. The system has good credibility and ability to generate fabric patterns faster, easier and in more quantities than team of fabric designers. The system developed is able to save this cultural heritage from extinction as there are more patterns to produce. [ABSTRACT FROM AUTHOR]

One of the core technologies used for high-density integration of electronic parts is a lithography method that draws a microcircuit by irradiating light onto photoresist. Because maskless lithography technology that employs a digital micromirror device (DMD) uses continuous exposure patterns, a huge amount of image frame data is required, and, moreover, a long calculation time is required to create exposure pattern images. In this paper, we propose a rasterization method that exposes continuous image frames onto a single overlay lithography image using GPU-accelerated path rendering and CPU parallel computing, creating a high-quality exposure pattern image at a high speed. This method enables effective rasterization using multiple CPU and GPU cores to create lithography image data. Additionally, it is possible to reduce the size of the data file by exposing a printed circuit board (PCB) in a single overlay image frame, rather than the conventional consecutive frames. [ABSTRACT FROM AUTHOR]

A new algorithm is proposed to generate virtual porous media based on predefined porosity and particle size distribution (PSD). Synthetic packings of different porosities, sphericities, and PSD curves are numerically constructed using the proposed approach. Based on these virtual porous material empirical correlations are tuned for estimation of permeability and formation factor as functions of porosity and median grain size. The proposed procedure is inspired from crystallization concept addressing the capability of dealing with tight media with no porosity limitation and the flexibility to easily control the grain sphericity. The post-processing results, including estimation of permeability, formation factor and electrical resistivity, are compared with experimental data. Besides, a sensitivity analysis is conducted to elucidate the impact of grain irregularity (sphericity) on permeability. [ABSTRACT FROM AUTHOR]