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Somatic Experiencing (SE)®, as developed by Peter A. Levine, will be presented as a basic neuropsychological concept that is suitable in particular for the treatment of trauma-related disorders and psychosomatic illnesses, as it works directly with the symptoms of trauma-related dysregulation in the autonomic nervous system (ANS), which can find expression in multiple levels of experience. Through various techniques and a mindful, targeted use of interventions – both activating and calming – the innate self-regulating abilities of the ANS are restored and strengthened, in order to help process and integrate what has been experienced. Basic neurological principles as well as SE intervention techniques will be described, and the interplay of these techniques will be illustrated in three case studies. [ABSTRACT FROM AUTHOR]

This review deals with the current research on wind-tree interaction, focusing on methods and technologies applied on tree monitoring. 101 studies were included and classified according to the different biomechanical approach used, dividing them according to methods and technologies applied. The studies were selected following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 statement. A great variety of sensors and testing protocols have been used in the last 30 years, and several new technologies have been proposed and tested especially in the last five years, considerably expanding the available systems for the study of wind-tree interaction. The most modern technologies are based on smart sensing technologies and on developing real-time monitoring and alarm systems, understanding and forecasting the interaction between windstorms and trees, then preventing wind damage to human beings. The works based on actual field observation of the tree's response to wind appears to provide the most reliable comprehension of the wind-tree interaction phenomena, especially when wind data monitoring is included. Main outcomes shows that the choice of specific methods and sensors are, in a qualitative form, strongly dependent to the purpose of the study. An important result is the total absence of any clear standard procedures provided for these applications. Comparative analyses involving multiple sensors simultaneously applied could be encouraged to shed light about requirements on measuring systems and consequent signal processing in order to define standardised procedures to be used for each given procedure. • Wind-tree interaction is progressively being more researched in the last 30 years. • Which monitoring systems and how they should be used for given aim is unclear. • No standardized protocols and lacks on wind monitoring requirements has been found. • Smart sensing technologies are becoming increasingly included in monitoring systems. [ABSTRACT FROM AUTHOR]

Objective: Analyze how, based on the identification of a fragile academic definition of the concept of populism, in the field of Latin America and especially in Colombia, an analytical-conceptual process is developed, regarding what are the definitions and applications of the concepts in political reality. Methods: The article proposes, through a methodological-experimental model, the possibility of deepening concepts that allow explaining and identifying populist actions or discourses in the Colombian context. Results: It was found that in many of the investigations an attempt is made to define the concept based on the different events in the political history of the countries under analysis, and above all, from the politicians in whom populism is suspected based on their speeches; Consequently, in the application of the experimental methodology of this research, authors such as Zanatta (2013) and Rosanvallon (2020) were taken, in which conceptual categories are identified such as: populism as a community axis, populism as centrality and security, populism as encompassing a large majority with a margin of small minorities that constitute the enemies, in turn some subcategories of political emotions emerged that guarantee these first ones, among them emotions of position, emotions of action and emotions of intellection, all six connected respectively. Conclusions: The development of concepts that contribute to the explanation of the populist phenomenon in electoral campaigns is key to understanding the edges of political culture and the new sociopolitical orders in electoral processes. [ABSTRACT FROM AUTHOR]

Smart warehouses require software-based decision-making tools to manage the receiving, storing, and picking of products. A major challenge in achieving efficient operations is deciding where to store products associated with incoming orders. The storage location assignment problem (SLAP) is more complex in large-size warehouses due to several functional objectives and numerous possible shelving solutions. This paper introduces an artificial intelligence algorithm that seeks to find an acceptable solution to SLAP with presented linear and nonlinear objective functions. The near-optimal technique exploits basin-hopping and simulated-annealing algorithms to find a solution when considering four functional objectives including worker safety, which has not been optimized using similar approaches. The algorithm is experimentally evaluated, and results demonstrate that reasonablely achieved solutions are comparable to those obtained by well-known existing solvers. Furthermore, the problem could be solved with non-linear objectives which is beyond the commercial solvers' like SCIP capability. [ABSTRACT FROM AUTHOR]

Research in psychology has seen a rapid increase in the usage of experience sampling methods and daily diary methods. The data that result from using these methods are typically analyzed with a mixed-effects or a multilevel model because it allows testing hypotheses about the time course of the longitudinally assessed variable or the influence of time-varying predictors in a simple way. Here, we describe an extension of this model that does not only allow to include random effects for the mean structure but also for the residual variance, for the parameter of an autoregressive process of order 1 and/or the parameter of a moving average process of order 1. After we have introduced this extension, we show how to estimate the parameters with maximum likelihood. Because the likelihood function contains complex integrals, we suggest using adaptive Gauss-Hermite quadrature and Quasi-Monte Carlo integration to approximate it. We illustrate the models using a real data example and also report the results of a small simulation study in which the two integral approximation methods are compared. [ABSTRACT FROM AUTHOR]

Content and Language Integrated Learning, or CLIL, is an eclectic approach, which makes use of a foreign language to teach academic content in different areas. Within this context, those communicative activities of mediation proposed by the Common European Framework of Reference (CEFR) deserve a particular interest. This small-scale study employs a linguistic mediation activity involving information processing in order to compare the outcomes of two learner groups of German as a foreign language (DaF) at an A2-B1 level. One of the groups has received CLIL instruction, whereas the other one was taught following a mainstream approach (non-CLIL group). Results show that CLIL learners perform better at using reformulation strategies to present a mediated text. Furthermore, the data also show a positive effect regarding L1 use during mediation activities. [ABSTRACT FROM AUTHOR]

Copyright of Paradigma is the property of Universidad Pedagogica Experimental Libertador 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.)

Copyright of Imagens da Educação is the property of Universidade Estadual de Maringa 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 article designs a conceptual model for the procurement and distribution processes in nanostores in the southwest of Barran-quilla, Colombia considering 256 nanostores. The data collection involved identifying the nanostores through a visit to the area and creating a data collection instrument with specific questions covering various variables. As a result of the model, the procurement process comprises stages such as ordering, order processing, preparation and dispatch, distribution, payment, return, and after-sales. The findings show that nanostores primarily use indirect distribution channels, establishing relationships with suppliers and placing orders directly or through sales agents. Based on the research findings, the article suggests implementing digital marketing platforms to facilitate order placement and delivery for nanostore owners, reducing their transportation costs and improving the condition of products received. This study contributes to understanding procurement and distribution dynamics in nanostores, providing valuable insights for nanostore owners, policymakers, and researchers, improving the operations and competitiveness of nanostores, benefiting both the local economy and the broader retail sector. [ABSTRACT FROM AUTHOR]

The development of grain storage warehouses has low high-tech coverage because of the special features of grain products. Traditional grain warehouses are facing problems including limited land resources, increased labor costs, and poorer health indicators. Accompanied by the development of information technology and the Internet of Things, automated three-dimensional warehouses have been widely used in industry with the advantages of unmanned, informationized, intensive, high-speed and seamless. In the field of grain warehousing, the finished grain three-dimensional warehouse based on mechatronics, automation, control and logistics is expected to solve the problem of grain warehousing. The traditional grain storage industry will be driven by new technology to ensure national food security. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Textiles & Engineers / Tekstil ve Mühendis is the property of Union of Chambers of Turkish Engineers & Architects, Chamber of Textile Engineers 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.)

Copyright of Signos is the property of Universidad Santo Tomas 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.)

Copyright of Artnodes is the property of Universitat Oberta de Catalunya 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 aims to investigate the seru scheduling problem while considering the dual effects of worker cooperation and learning behavior to minimize the makespan and order processing time. Given the complexity of this research problem, an improved shuffled frog leaping algorithm based on a genetic algorithm is proposed. We design a double-layer encoding based on the problem, introduce a single point and uniform crossover operator, and select the crossover method in probability form to complete the evolution of the meme group. To avoid damaging grouping information, the individual encoding structure is transformed into unit form. Finally, numerical experiments were conducted using numerical examples of large and small sizes for verification. The experimental results demonstrate the feasibility of the proposed model and algorithm, as well as the necessity of considering worker dual behavior in the seru scheduling problem. [ABSTRACT FROM AUTHOR]

The object of research is a distributed order processing system for a restaurant chain. The subject of the research is the analysis of the use of Redis for managing event queues in distributed systems. When implementing a distributed order processing system in a restaurant chain with a possible load of up to 20,000 users per day, the Redis system was used. Management of 9 distributed subsystems was organized through Redis. This solution showed an increase in the performance of the system under heavy load (from 50 transactions per second), but the response time of the system in some cases of its operation was longer than without using Redis. When working systems using Redis, it is necessary to take into account the amount of data with which Redis will work, since it does not exceed the amount of RAM, the absence of differentiation into users and groups, and the absence of a query language, which is replaced by a key-value scheme. This research is aimed at analyzing the operation of the system during trial operation under real load. We com)pared the operation of a configured system with Redis enabled and disabled. The main indicators for the analysis were the system response time and the maximum request execution time. The research was carried out for 2 weeks, the first week using the system settings with disabled Redis, the second – with enabled Redis. We selected 2 days with a similar load on the system to each other. Especially indicative are the results of comparing the durations of the longest queries, which show an almost constant value of the duration for the system in the mode of enabled Redis. The hypothesis of an increase in the system response time at low loads was confirmed, but this value not only leveled off at a load of 500 unique users but also became less at loads of 1000 unique users. [ABSTRACT FROM AUTHOR]

Copyright of Nuevo Foro Penal is the property of Universidad EAFIT 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.)

At present, potato seeders in China generally have poor uniformity of seed rows and high coefficients of variation in plant spacing during seed rows, causing difficulties for subsequent mechanized plant protection and harvesting. Based on the effect of seed discharge to analyze the sowing process, a potato seed discharger with a double-layer seed picking spoon structure was designed. By analyzing the seed discharging mechanism and its operation process, the shape and size structural parameters of the seed picking spoon were determined. Finite element simulation of the seed pickup process and seed carrying process of the seed discharging mechanism was carried out by EDEM software to determine the double-layer seed scoop scheme and the range of factors for subsequent tests. A two-factor test was conducted with seeding line speed and seed drop height as test factors, and plant spacing coefficient of variation and seed potato lateral offset dispersion as test indexes. The test results showed that the double-layer seeding spoon chain seeder reduced the coefficient of variation in plant spacing by 5.8%, and the dispersion in lateral offset by 5.5 mm, compared with the single seeding spoon seeder, when the seeding speed was 0.184 m/s and the height of falling seed was 9 cm. [ABSTRACT FROM AUTHOR]

Owing to the development of optical precision and computer technology, the number of experiments based on visual methods for processing data from track detectors is growing. The use of neural networks to identify clusters in images obtained using new-generation scanning stations will both speed up image processing in nuclear emulsions and make the track reconstruction process an order of magnitude more efficient. [ABSTRACT FROM AUTHOR]

Salient object detection (SOD) must capture the multi-level features from both global and local view. Furthermore, interiors and boundaries of salient objects must be processed simultaneously in order to generate a clear salient map with sharp boundaries. In addition, the object-part relationship should be taken into consideration to segment the salient object as a whole. To address above issues, we propose a novel multi-source feature extraction network (MFEN), which is capable of integrating salient features, boundary features and global feature, simultaneously. First of all, the multi-source global and local module (MGLM) is introduced to integrate multi-source features, composing of a series of hybrid dilation convolution modules with different dilated rate. Furthermore, the boundary detection module is introduced to predict the boundary map and boundary features, helping for locating the salient object and sharpen edge. In addition, the adjacent features from MGLM are fused progressively to generate the final salient map by feature fusion modules. Experimental results on five datasets demonstrate that our proposed MFEN outperforms recent 18 SOD methods. More importantly, the ablation study shows that the MGLM is an effective feature fusion module for multi-level and multi-source feature. [ABSTRACT FROM AUTHOR]

An MIAPP-NALT system is an order picking system in which cases are picked at multiple in-the-aisle pick positions (MIAPP) and storage and retrieval operations are performed by a narrow aisle lift truck (NALT). In this paper, the operation of such a system involving three classes of stock keeping units with random demands for storage and retrieval operations is modeled as an M/G/1 queue, where "customers" are storage and retrieval requests, the "server" is the NALT, and retrieval requests have non-preemptive priority over storage requests. Our goal is to explore a methodology and solution method to obtain the optimal layout design of a class-based MIAPP-NALT system with stochastic demands and priority service. To this end, an operation time model of the system is developed and the first two moments for the operation time are derived. To overcome the challenge in finding the desired optimal layout, a near-optimal layout obtained via a heuristic approach is obtained at first and is improved afterwards. Based on the optimal layout, some valuable queueing results demonstrate the benefit of using a priority-based discipline. Moreover, some useful insights regarding the selection of dedicated versus random storage policies are obtained. [ABSTRACT FROM AUTHOR]

The integration of enzymatic and electrochemical reactions offers a unique opportunity to optimize production processes. Recently, an increasing number of laboratory‐scale enzymatic electrosyntheses have shown impressive performance indicators, leading to scientific interest in technical implementation. However, important process parameters are missing in most of the relevant literature. On one hand, this is due to the large variety of relevant performance indicators. On the other hand, enzyme technologists and electrochemists use different parameters to describe a process. In this article, we review the most important performance indicators in electroenzymatic processes and suggest that in order to allow quantitative comparison, these indicators should be reported in all respective publications. In addition to quantitative parameters, non‐quantitative assessments often need to be included in a final evaluation. Examples of such parameters are sustainability, contribution to the UN Sustainable Development Goals or interactions with the overall process. We demonstrate the evaluation of processes using hydrogen peroxide‐dependent peroxygenases. The strength of the proposed evaluation system lies in its ability to identify weaknesses in a process at an early stage of development. Finally, it can be concluded that all evaluated enzymatic electrosynthesis do not yet meet typical industrial requirements for an enzyme‐based process. [ABSTRACT FROM AUTHOR]

Identifying an accurate dynamics model remains challenging for humanoid robots. The difficulty is mainly due to the following two points. First, a good initial model is required to evaluate the feasibility of motions for data acquisition. Second, a highly nonlinear optimization problem needs to be solved to design movements to acquire the identification data. To cope with the first point, in this paper, we propose a curriculum of identification to gradually learn an accurate dynamics model from an unreliable initial model. For the second point, we propose using a large-scale human motion database to efficiently design the humanoid movements for the parameter identification. The contribution of our study is developing a humanoid identification method that does not require the good initial model and does not need to solve the highly nonlinear optimization problem. We showed that our curriculum-based approach was able to more efficiently identify humanoid model parameters than a method thatjust randomly picked reference motions for identification. We evaluated our proposed method in a simulation experiment and demonstrated that our curriculum was led to obtain a wide variety of motion data for efficient parameter estimation. Consequently, our approach successfully identified an accurate model of an 18-DoF, simulated upper-body humanoid robot. [ABSTRACT FROM AUTHOR]

Copyright of Elektronik Industrie is the property of Hüthig GmbH 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.)

People continuously adapt their movements to ever-changing circumstances, and particularly in skills training and rehabilitation, it is crucial that we understand how to optimize implicit adaptation in order for these processes to require as little conscious effort as possible. Although it is generally assumed that the way to do this is by introducing perturbations gradually, the literature is ambivalent on the effectiveness of this approach. Here, we tested whether there are differences in motor performance when adapting to an abrupt compared to a ramped visuomotor rotation. Using a within-subjects design, we tested this question under 3 different rotation sizes: 30-degrees, 45-degrees, and 60-degrees, as well as in 3 different populations: younger adults, older adults, and patients with mild cerebellar ataxia. We find no significant differences in either the behavioural outcomes, or model fits, between abrupt and gradual learning across any of the different conditions. Neither age, nor cerebellar ataxia had any significant effect on error-sensitivity either. These findings together indicate that error-sensitivity is not modulated by introducing a perturbation abruptly compared to gradually, and is also unaffected by age or mild cerebellar ataxia. [ABSTRACT FROM AUTHOR]

In order to improve process safety, product purity, and production efficiency in the synthesis of N-n-butyl-N-(2-nitroxy-ethyl)nitramine (BuNENA), a two-stage continuous flow microreactor system was constructed by sequentially connecting the self-designed heart-shaped channel microreactor and the caterpillar microreactor. n-Butylethanolamine was used as the raw material, nitric acid and acetic anhydride were used as the nitrating agents. The results showed that when the flow rate of n-butylethanolamine was 1.00 mL.min− 1, the temperature of the heart-shaped channel microreactor was 10 ℃, the temperature of the caterpillar microreactor was 35 ℃, the molar ratio of ZnCl2 to n-butylethanolamine was 2%, the molar ratio of nitric acid to n-butylethanolamine was 2.4, and the molar ratio of ZnCl2 to n-butylethanolamine was 2.4, the result was best. Under the conditions, the reaction time was shortened to 300 s, the purity of BuNENA was up to 98.1%, and the yield was 87.1%. [ABSTRACT FROM AUTHOR]

It is a significant issue to explore the collective behaviors of the delayed complex systems. This paper studies asymptotic collective behaviors of a delayed multi‐particle system with multiple processes while particles interact directionally and locally. Up to now, the studies on dynamic behaviors of multi‐particle systems do not involve limited processing capacity, that is, the information queuing phenomenon is ignored. To this aim, we introduce multiple processes to formulate the evolution of a delayed multi‐particle system. To optimize the delay parameters, we choose the greedy principle to set the processing order. The main idea is to decompose the velocity into each process and use functional differential equation theory and matrix theory to constrain the velocity variation rate while the processing order is fixed. As the new results, in the non‐critical and general situation, when the time delay is less than or equal to the threshold value and the eigenvalue 1 of the average matrix is semi‐simple, we achieve the criterion of flocking and multi‐cluster with exponential convergence rate involving multiple processes. Furthermore, we get the lower bound estimate of the processing capacity. [ABSTRACT FROM AUTHOR]

Inventory management plays an important role in production and marketing processes, especially in production facilities and commercial institutions that have warehouses in which they store their equipment and goods. Inventory management is considered one of the most important management functions in terms of determining the ideal volume of inventory and calculating its costs, as this affects the facility’s efficiency and achieves either large profits or it causes huge losses, so warehouse managers in production facilities or institutions must determine the appropriate and ideal volume of inventory, especially when they are presented with price offers from companies seeking to market their products. These offers are directly related to the volume of the order, and in this case, they must make an ideal decision through which determine the volume of the order by taking into account the following matters: 1. Securing the quantities required for production or sale so that there is no deficit. 2. The storage cost should be as low as possible. 3. Benefit as much as possible from the discounts offered by companies. In this research, we present a complementary study to what we did in researching the neutrosophic treatment of static inventory models without deficit, through which we arrived at mathematical relationships through which we can calculate the ideal volume of the order at the lowest possible cost. We will use these relationships to determine the ideal volume of the order so that we achieve the greatest benefit from price offers and discounts. Provided by companies. [ABSTRACT FROM AUTHOR]

Electrical discharge machining is a versatile machining technology that uses precisely directed sparks within the range of the dielectric fluid and between the electrodes to make electrically conductive products. The influence of different processing parameters on diverse metal matrix composites, including new reinforcing elements (silicon carbides, aluminium oxides and nitrides), and the modifications that occur as a consequence of each of these components are discussed in this article. As a result, new reinforcing materials and ways for optimising performance have emerged. The goal of this study is to provide analysts with research data that will allow them to effectively use EDM principles and, more particularly, to investigate process characteristics in order to enhance the process of advanced PMEDM operation. [ABSTRACT FROM AUTHOR]

Previous research has both implicitly and explicitly discussed, and partly shown, that fatness can be viewed as an ordering issue. In Western countries, fat bodies are constructed as deviant and as disorder, while thin bodies are constructed as normal and in order. In line with Mary Douglas's and Judith Butler's theorisation around separating and purifying/subsuming processes, this article develops previous theorisations around fatness and social order. Two analytical concepts for understanding processes for ordering people based on body size are suggested. Both processes aim at preserving the social order but differ in how this is achieved. The first, maintaining order, refers to the processes that maintain separation between thinness and fatness and preserve social order. The second, putting in order, refers to the processes aiming to subsume fat bodies into social order and covers various activities for weight loss. Together, these concepts allow analysis of fatness as an ordering issue. [ABSTRACT FROM AUTHOR]

An accurate and trustworthy first break picking plays a key role in static correction calculations, velocity analysis, and deconvolution. First break traveltimes picking accuracy ensures correct and reliable seismic data processing results. Many methods are available to perform the first break pickings automatically. Most of these methods, however, are not robust when there is a low signal‐to‐noise ratio (SNR). In this study, to automatically determine the traveltimes of the first arrivals, we used the density‐based spatial clustering application with noise (DBSCAN) and the super‐virtual refraction interferometry (SVI). In the case of noisy data, using only DBSCAN for first break picking shows poor accuracy. To deal with this issue, SVI is employed to improve the SNR of the data, and then DBSCAN is applied again to the enhanced data for accurate picking. In the first step, DBSCAN is used to define a muting window for SVI. In the second step, SVI is employed to improve the first arrival SNR. In the third step, DBSCAN is applied to determine the final first arrival traveltime. The proposed approach is tested on synthetic and field data sets, where the manual and the cross‐correlation pickings are compared to the DBSCAN automatic pickings. We further test the proposed approach on a publicly available data set to benchmark our technique for first‐break accuracy with other established methods. Results show that the first arrival traveltime picks using the proposed approach are very accurate compared to manual picking. Plain Language Summary: Recorded seismic data goes through many processing steps to get a final image of the subsurface. One of the important processing steps is first break traveltime picking. Its accuracy is very important for accurate data processing outcomes. Many methods struggle to make an accurate automatic first break traveltime picking when the data is polluted with noise. In this research work, we used an unsupervised machine learning technique to perform automatic first break traveltime picking which produced good results even in the case of noisy data. The performance of the machine learning algorithm is improved by enhancing the signal‐to‐noise ratio of the data because of using the super‐virtual refraction interferometry (SVI) technique. The proposed methodology is tested using synthetic and field examples, and results show a better picking of the first breaks after using SVI as part of the working flowchart. Key Points: An unsupervised machine learning algorithm, the density‐based spatial clustering application with noise (DBSCAN), is used to automatically pick the first arrival traveltime of recorded seismic dataSuper‐virtual refraction interferometry is used to enhance signal‐to‐noise ratio of far‐offset traces then DBSCAN is used to pick the first breaks automatically and accurately [ABSTRACT FROM AUTHOR]

The mesoscopic particle transport mechanics is bridged to the macroscopic fluid dynamics through the asymptotic theory. The construction of a concise model in the asymptotic regime is a major objective of kinetic theory. In this work, we propose a reduced-order model to bridge the particle transport mechanics and the macroscopic fluid dynamics in the highly scattered regime. A rigorous mathematical derivation and a concise physical interpretation are presented for an anisotropic-scattering transport process with arbitrary order of scattering kernel. The prediction of the theoretical model perfectly agrees with the numerical experiments. A clear picture of the diffusion physics is revealed for the neutral particle transport in the asymptotic optically thick regime. [ABSTRACT FROM AUTHOR]

The effective distribution of relief goods is critical in mitigating the impact of natural disasters and preserving human life. This study addresses a relief goods distribution problem, assuming the existence of multiple relief orders that must be delivered to various disaster-stricken regions from a network of warehouses using a fleet of diverse vehicles. The objective is to identify the most suitable warehouse for each relief order, allocate relief orders to vehicles, batch the orders in the designated vehicles, and devise routing plans to minimize the total delivery time. A mixed-integer linear programming model is formulated to tackle this problem. Owing to the problem's NP-hard nature, a metaheuristic algorithm, known as the Multiple League Championship Algorithm, is developed. Furthermore, two innovative variants of the MLCA, namely the League Base Multiple League Championship Algorithm (L-MLCA) and the Playoff Multiple League Championship Algorithm (P-MLCA), are introduced. Experimental results indicate that the P-MLCA outperforms the other two algorithms. The solutions derived from the P-MLCA are compared with the optimal solutions obtained by a commercial solver for small-scale problems. This comparative analysis demonstrates the promising performance of the P-MLCA in finding the optimal distribution of relief goods. [ABSTRACT FROM AUTHOR]

Continental subduction and collision are not merely follow-ups of oceanic subduction but mark the transition from lithospheric-scale deformation localized along the subduction interface to crustal-scale deformation distributed across the orogen. In order to unravel the processes typifying the dynamic changes from oceanic subduction to collision, we have characterized the pressure-temperature (P-T) and spatio-temporal evolution of rocks on each side of the tectonic contact (Briançonnais-Liguro-Piemont [Br-LP] contact) separating the subducted oceanic remnants from the subducted continental fragments along the Western Alps. Results indicate that the maximum temperature and pressure difference on each side of the contact is generally <30 °C and <0.3 GPa, evidencing that no significant metamorphic gap exists. The preservation of similar P-T conditions on both sides of the Br-LP contact is interpreted as resulting from offscraping of the Liguro-Piemont and later Briançonnais units at similar depths, as supported by the ~10 m.y. gap between peak burial ages of both zones. The similar depth range reached by the various units reflects systematic variations of slicing and mechanical coupling along the plate interface suggesting that (1) similar slicing mechanisms and strain localization prevailed during both oceanic and continental subduction and (2) the Br-LP contact represents a frozen-in subduction interface. The end of high-pressure and low-temperature metamorphism and continental subduction at ca. 33 Ma would mark the stalling of subduction interface dynamics and the onset of strain distribution across the plate interface and into the lower plate. [ABSTRACT FROM AUTHOR]

Copyright of Bitacora: Revista de Arquitectura is the property of Universidad Nacional Autonoma de Mexico, Facultad de Arquitectura 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.)

Copyright of Universum is the property of Instituto de Estudios Humanisticos Juan Ignacio Molina, Universidad de Talca 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 this paper we study the optimal control of a parabolic initial-boundary value problem of Allen–Cahn type with dynamic boundary conditions. Phase field systems of this type govern the evolution of coupled diffusive phase transition processes with nonconserved order parameters that occur in a container and on its surface, respectively. It is assumed that the nonlinear functions driving the physical processes within the bulk and on the surface are double well potentials of logarithmic type whose derivatives become singular at the boundary of their respective domains of definition. For such systems, optimal control problems have been studied in the past. We focus here on the situation when the cost functional of the optimal control problem contains a nondifferentiable term like the $ L^1 $-norm leading to sparsity of optimal controls. For such cases, we derive second-order sufficient conditions for locally optimal controls. [ABSTRACT FROM AUTHOR]

This article aims to investigate the impact of allowable human energy expenditure (HEE) of order pickers on the throughput of workers in manual order zone picking systems MOP. The method used in this research is the Monte Carlo simulation, used while considering many human and job factors. The results showed that a worker's gender and an item's weight have little effect on the HEE. On the other hand, body weight, walking speed, distance travelled, and the targeted zone significantly impacted the HEE, rest allowance, and throughput. For example, male pickers at a weight of 75 kg can move up to speed to 1 m/s and pick up items weighing up to 5 kg without reaching the allowable HEE rate, equal to 4.3 kcal/min, and, thus, no rest is needed. Female pickers at a weight of 75 kg reach the allowable HEE rate, equal to 2.6 kcal/min, at a very low speed of approximately 0.1 m/s when picking up items up to 5 kg, and, thus, frequent rest is needed, which leads to low throughput. To increase the throughput of female pickers, they can be assigned to pick up lighter items. Utilising Monte Carlo simulation to evaluate the HEE in MOP while considering many factors. [ABSTRACT FROM AUTHOR]

A literature review on the order picking process in warehouses is presented for delineating the trends in time of research topics in this field. A total of 269 journal papers published between 2007 and 2022 were retrieved from Scopus. After a methodological classification, descriptive analyses were performed on authors, journals, subject area and top publishing countries. Bibliometric tools were used to map the topics covered by the reviewed studies, categorise them and determine possible relationships. Papers' contents were evaluated in terms of eight categories, including five typical issues of order picking systems, plus three aspects dealing with the characteristics of the application. Insights about the extent to which these aspects have been covered in the literature are derived; relationships between the various aspects of the picking process are also delineated. Suggestions for future research activities are finally deducted, offering researchers and practitioners strong bases for works on order picking systems. [ABSTRACT FROM AUTHOR]

Parts can be supplied from warehouses to assembly lines via several production-order-independent and -dependent parts supply strategies. Order-dependent parts supply strategies sequencing, kitting and batch supply share enough similarities that allow joint modelling in picking order planning and execution, whereas line stocking, just-in- time, just-in-sequence and just-in-sequence kit supply require separate modelling. Joint modelling is the precondition for setting up a software system in industrial practice, covering multiple parts supply strategies efficiently. With similar input--output relations and process steps, joint algorithms can be used. This work presents insights from a software system for sequencing, kitting and batch supply implemented in the automotive industry. The main process steps modelled are order-dependent part requests determination, bundling of part requests to picking orders, scheduling and release, and picking and transportation execution. Given the prevalence of assembly lines, sharing knowledge about successful modelling of parts supply strategies is crucial both for practitioners and researchers. [ABSTRACT FROM AUTHOR]

Cation ordering/disordering features in perovskite-like oxides LnBaMn2O6−δ where Ln = Pr, Nd, Sm were studied by means of a combination of thermogravimetry and X-ray powder diffraction techniques in a wide range of temperatures. Variation in lanthanide size was shown to be an effective route for the shift in temperature of ordering and disordering. As a result, it was found coexistence of three different phases which can be obtained separately: disordered cubic Ln0.5Ba0.5MnO3–δ, and ordered kinds of LnBaMn2O6−δ having δ ≈ 0 or 1.0. The respective ambient conditions around stability boundaries for the whole studied phases were successfully determined. Additionally the main reasons for inducing ordering as well as disordering processes were clarified by the use of in-situ XRD and DSC methods. A combination of the experimentally obtained data with the results of limited studies reported in literature allows one to organize the available information about double manganites giving some explanation of ordering processes as well as appropriate conditions used to obtain oxides with desired ordering degree. [ABSTRACT FROM AUTHOR]

The paper introduces a high level speed control method for the coordination of multiple autonomous vehicles (AVs) in roundabout scenarios. The aim of the control method is to guarantee collision-free motion of the AVs, and similarly, to minimize their traveling time. In the method a priority-based ordering process of the AVs is used, which enforces the time-efficient motion of the AVs. The collision-free motion is guaranteed through an optimization-based method including control input constraints. The ordering process and the optimization form a low complexity solution, which requires low computation effort. The proposed control strategy is involved in the high level of a hierarchical control structure. The effectiveness of the proposed control strategy is illustrated by simulation examples and Hardware-in-the-Loop demonstration. [ABSTRACT FROM AUTHOR]

Variational auto-encoders (VAE) have been widely used in process modeling due to the ability of deep feature extraction and noise robustness. However, the construction of a supervised VAE model still faces huge challenges. The data generated by the existing supervised VAE models are unstable and uncontrollable due to random resampling in the latent subspace, meaning the performance of prediction is greatly weakened. In this paper, a new multi-layer conditional variational auto-encoder (M-CVAE) is constructed by injecting label information into the latent subspace to control the output data generated towards the direction of the actual value. Furthermore, the label information is also used as the input with process variables in order to strengthen the correlation between input and output. Finally, a neural network layer is embedded in the encoder of the model to achieve online quality prediction. The superiority and effectiveness of the proposed method are demonstrated by two real industrial process cases that are compared with other methods. [ABSTRACT FROM AUTHOR]

This article discusses the existence and development of informal judicial practices in the Belgian legal order. It starts with the observation that the Belgian legal system is already highly formalized and suggests two reasons for that. Further, it shows that despite this rather high degree of existing formalization, important informal practices have nevertheless taken shape. However, over time the legislature intervenes, often as a reaction to some kind of external catalyst, and formalizes those previously informal aspects of the Belgian judicial system. This article therefore describes the Belgian legal order as a process of incremental and reactive formalization, taking place between the judiciary and the legislature. [ABSTRACT FROM AUTHOR]

This article is devoted to the asymptotic properties of the ordinary least squares estimator (LSE) of the coefficient ρ in a stationary autoregressive process of order one with negatively associated innovations. Under appropriate conditions, consistency and asymptotic normality are derived. [ABSTRACT FROM AUTHOR]

Litchi is a highly favored fruit with high economic value. Mechanical automation of litchi picking is a key link for improving the quality and efficiency of litchi harvesting. Our research team has been conducting experiments to develop a visual-based litchi picking robot. However, in the early physical prototype experiments, we found that, although picking points were successfully located, litchi picking failed due to random obstructions of the picking points. In this study, the physical prototype of the litchi picking robot previously developed by our research team was upgraded by integrating a visual system for actively removing obstructions. A framework for an artificial intelligence algorithm was proposed for a robot vision system to locate picking points and to identify obstruction situations at picking points. An intelligent control algorithm was developed to control the obstruction removal device to implement obstruction removal operations by combining with the obstruction situation at the picking point. Based on the spatial redundancy of a picking point and the obstruction, the feeding posture of the robot was determined. The experiment showed that the precision of segmenting litchi fruits and branches was 88.1%, the recognition success rate of picking point recognition was 88%, the average error of picking point localization was 2.8511 mm, and an overall success rate of end-effector feeding was 81.3%. These results showed that the developed litchi picking robot could effectively implement obstruction removal. [ABSTRACT FROM AUTHOR]

Recently, few methods for understanding machine learning model's outputs have been developed. SHAP and LIME are two well-known examples of these methods. They provide individual explanations based on feature importance for each instance. While remarkable scores have been achieved for individual explanations, understanding the model's decisions globally remains a complex task. Methods like LIME were extended to face this complexity by using individual explanations. In this approach, the problem was expressed as a submodular optimization problem. This algorithm is a bottom-up method aiming at providing a global explanation. It consists of picking a group of individual explanations which illustrate the global behavior of the model and avoid redundancy. In this paper, we propose CoSP (Co-Selection Pick) framework that allows a global explainability of any black-box model by selecting individual explanations based on a similarity preserving approach. Unlike submodular optimization, in our method the problem is considered as a co-selection task. This approach achieves a co-selection of instances and features over the explanations provided by any explainer. The proposed framework is more generic given that it is possible to make the co-selection either in supervised or unsupervised scenarios and also over explanations provided by any local explainer. Preliminary experimental results are made to validate our proposal. [ABSTRACT FROM AUTHOR]

In this paper we establish a rigorous gradient flow structure for one-dimensional Kimura equations with respect to some Wasserstein--Shahshahani optimal transport geometry. This is achieved by first conditioning the underlying stochastic process to nonfixation in order to get rid of singularities on the boundaries, and then studying the conditioned Q-process from a more traditional and variational point of view. In doing so we complete the work initiated in [Chalub et al., Acta Appl. Math., 171 (2021), pp. 1--50], where the gradient flow was identified only formally. The approach is based on the energy dissipation inequality and evolution variational inequality notions of metric gradient flows. Building up on some convexity of the driving entropy functional, we obtain new contraction estimates and quantitative long-time convergence towards the stationary distribution. [ABSTRACT FROM AUTHOR]

In this article, we define a convoluted fractional Poisson process of order k (CFPPoK), which is governed by the discrete convolution operator in the system of fractional differential equations. Next, we obtain its one-dimensional distribution by using the Laplace transform of its state probabilities. Various distributional properties, such as probability generating function, moment generating function and moments, are derived. A special case of CFPPoK, (say) convoluted Poisson process of order k (CPPoK) is studied and also established Martingale characterization for CPPoK. We further derive the covariance structure of CFPPoK and investigate the long-range dependence property. [ABSTRACT FROM AUTHOR]

The resourcefulness of crowdsourcing can be used to handle a wide range of complex macro-tasks, such as travel planning, translation, and software development. Multi-phase tasks are a type of macro-task that consists of several subtasks distributed across multiple sequential phases. Due to the recent work's disregard for the task's sequential correlation, it is difficult for them to handle multi-stage tasks effectively. This work bridges this gap. We call this novel approach Hint, which incorporates task design, pre hoc worker coordination, and post hoc crowd work coordination. Starting with the task interface design, Hint makes workers aware of the relationship between phases in order to improve their processing abilities. Second, pre hoc coordination of workers is to organize the workers to do the tasks to lower the monetary costs required to meet a specific quality standard. Third, post hoc coordination of crowd work is through a decision tree-based coordination strategy. Extensive tests are carried out on real-world datasets to validate the desirable qualities of the suggested mechanism. [ABSTRACT FROM AUTHOR]