SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Auto gain-tuning for trajectory following control based on neural network

Serial link manipulators have been used for various situations in industry, i.e. welding, assembling, painting, polishing and machining. In machining by the manipulator, material is must be soft such as polystyrene foam because the rigidity of the manipulator is small. Recently, polystyrene form machining by the manipulator is desired to make a lost pattern used in full-mold casting. In the machining operation, a trajectory following control is usually used because the desired trajectory can be generated from a cutter location data. When a manipulator is controlled to cut the polystyrene along the designed shape, various desired trajectories are generated in terms of robot coordinate system. To reduce the positioning error of the manipulator, suitable feedback gains of the controller should be calculated for each trajectory. However, the calculation of the feedback gains consumes much time because it needs to solve a non-convex optimization problem. Therefore, faster calculation method of suitable feedback gains for each trajectory is desired. In this study, we propose an auto gain-tuning method of feedback gains using neural network with training. A training set has six training pairs prepared in advance, which consists of displacement of manipulator as input and optimized feedback gains as target. In the preparation, the feedback gains for the each trajectory calculated by the 4-1-4 polynomial interpolation is optimized by using the genetic algorithms. The neural network are trained by updating the synaptic weights with back propagation. After the training, the neural network can output suitable feedback gains for any trajectories. The effectiveness of the proposed method is confirmed through 1,000 times dynamic simulations with randomly generated trajectories.
Effects of New Technologies on Child Psychotherapy: Discussion of Clinical Papers from the Conference, “Where the Wired Things Are: Children and Technology in Treatment”

Many older adults are concerned that new internet technologies, especially social media, add to the alienation and isolation of children and young adults. The author considers these concerns in relation to two child psychotherapies by skilled therapists, in which the patients used cyberdevices. The play‐like functions of these uses are discussed, including displacement, defense and communication. Since the child patients introduced cyberdevices that were developed in the earlier phases of technology development, rather than the more contemporary, web-based social media, some emerging questions remain unanswered. Nonetheless, the therapists’ deft and sensitive handling of the patients’ uses of technology suggests that many of the established psychodynamic approaches are appropriate to the new situations.
A Cluster Tree Method For Text Categorization

Abstract The decision tree is a flexible and useful classification tool. But on the data with high dimensionality, it meets problems. For most of current decision tree algorithms, when splitting a node of a tree, only the “best” one feature is selected and used. Since more features are ignored, the classification accuracy is not high. To solve the problem, this paper uses a cluster tree for text categorization. Unlike familiar decision trees (e.g. CART, C4.5), clustering results are used as the splitting rule and more features are considered. Obviously, the used clustering algorithm is an very important to the cluster tree. For better performance, a text clustering algorithm is proposed to enhance the cluster tree. Experiments show that the cluster tree solves the high-dimensionality problem and outperforms C4.5 and CART on text data. Sometimes, it may do better than LibSVM, which may be the most powerful tool for text categorization.
Extended reality for disaster management and media planning

The underlying approach within xR4DRAMA is to create and enhance this situation awareness for those who are – remotely as well as directly – engaged in  handling disasters, man made crises or public events or the aftermaths thereof in remote locations. The groups usually involved in such events range from first responders, local authorities and security forces, to media companies and event planners. They all need to dive into the given situation, either by planning or executing a mission connected to the event at hand. In xR4DRAMA the proof of concept will focus on first responders and media companies before extending the use cases to other domains.
xR4DRAMA aims at enhancing situation awareness through, especially, XR technologies  in order to:
•	facilitate the sourcing of all relevant information needed to plan necessary actions;
•	create an „as if on site“ experience of an environment (e.g. in VR) to anticipate the planned event or an incident as thoroughly as possible;
•	create a joint understanding of an environment (a “distributed situation awareness”) to be shared by team members, allowing for smoother communication and consultation; 
•	provide the possibility to continuously update the representation of the location (e.g. in VR) during the evolving incident/event in order to understand and potentially re-assess consequences of specific decisions.
xR4DRAMA will use XR technologies and integrated systems fed with live sensor data in order to anticipate situations as accurately as possible, so that decisions can be made as informed and efficient as possible. xR4DRAMA aims at creating a tool for multiple domains, from outdoor media production planning to disaster management. It can be used remotely and on site for an augmented and shared perception of a given situation, in order to facilitate more efficient and resource-saving planning as well as a frictionless implementation of the planned action.
Structuring adsorbents and catalysts by processing of porous powders

Microporous materials such as zeolites, metal organic frameworks, activated carbons and aluminum phosphates are suitable for catalysis and separation applications. These high surface area materials are invariably produced in particulate forms and need to be transformed into hierarchically porous structures for high performance adsorbents or catalysts. Structuring of porous powders enables an optimized structure with high mass transfer, low pressure drop, good heat management, and high mechanical and chemical stability. The requirements and important properties of hierarchically porous structures are reviewed with a focus on applications in gas separation and catalysis. Versatile powder processing routes to process porous powders into hierarchically porous structures like extrusion, coatings of scaffolds and honeycombs, colloidal processing and direct casting, and sacrificial approaches are presented and discussed. The use and limitations of the use of inorganic binders for increasing the mechanical strength is reviewed, and the most important binder systems, e.g. clays and silica, are described in detail. Recent advances to produce binder-free and complex shaped hierarchically porous monoliths are described and their performance is compared with traditional binder-containing structured adsorbents. Needs related to better thermal management and improved kinetics and volume efficiency are discussed and an outlook on future research is also given.
Quantifying and deploying responsible negative emissions in climate resilient pathways

The quantitative potential, effectiveness and impacts of negative emission technologies and practices (NETPs), particularly taking into account relevant disciplines such as sustainability, socio-political and socio-economic sciences, are not so well understood. Based on a multi-discipline approach, with world-leading experts that can show proven track records in technological, economic and socio-political disciplines, NEGEM will go beyond the perspectives of climate physics and climate economics currently providing the basis for climate scenario modelling. The novel approach of NEGEM is the focus on a real-world perspective, where the theoretical potential of NETPs will be filtered through a range of key performance indicators relevant to biogeochemical cycles, ecosystems and planetary boundaries, resource economies, societal dimensions, social acceptability, technological opportunities and constraints, multi-level governance, and the sustainability transition. Through this, NEGEM will address to what extent NETPs are required to achieve climate neutrality and how their associated technical, economic and socio-political impacts potentially limit their contribution. The result is a comprehensive analysis of the realistic, sustainably deployable potential of NETPs supporting EU’s endeavours to implement the Paris Agreement within the frames of relevant UN Sustainable Development Goals. The NEGEM analysis will feed into a comprehensive framework with guidance on how to create, select, analyse and disseminate pathways with NETPs. This framework will be used to identify a set of pathways to achieve climate neutrality, which helps lay the basis for the medium-to-long term vision needed to support EU’s endeavours to implement the PA within the context of relevant SDGs. NEGEM will dedicate specific efforts to reaching out to key stakeholders, in particular to policymakers at national and EU levels, but also to key international stakeholders, including developing countries.
ICE PROTECTION SYSTEM FOR A MULTI-SEGMENT AIRCRAFT COMPONENT

An aircraft component (200) includes a first segment (110) having a first leading edge surface that extends to a first end (222) of the first segment. The aircraft component also includes a second segment (112) having a second leading edge surface that extends to a second end of the second segment. The second end (226) is substantially adjacent to the first end of the first segment, and is connected to the first end. The first leading edge surface includes electrical resistance heating (223) that extends to the first end of the first segment. In addition, the second leading edge surface includes electrical resistance heating (227) that extends to the second end of the second segment. The electrical resistance heating is capable of providing ice protection heating immediately on either side of a juncture (211) between the connected first and second ends.
The Asymmetrical n-k Distribution DOI: 10.14209/jcis.2005.25

This paper specializes and parameterizes the general result presented elsewhere in the literature in order to propose, fully characterize, and investigate the Asymmetrical − Distribution. It yields estimators for the involved parameters and uses field measurements to validate the distribution. The Asymmetrical − Distribution includes, as special cases, important distributions such as Rayleigh, Rice, Hoyt, Nakagami-q, and One-Sided Gaussian. The fact that the Asymmetrical − Distribution has one more parameter than the well-known distributions renders it more flexible. Of course, in situations in which those distributions included in it give good results a better fit is given by the Asymmetrical − Distribution. In addition, in many other situations in which these distributions give poor results a good fit may be found through the Asymmetrical − Distribution. More specifically, its non-monomodal feature finds applications in several circumstances, examples of which are given in this paper.
The fate of pesticide in the environment.

Pesticides are an essential element of agriculture production. Increased use of pesticides has greatly aided agricultural production, decreased losses of stored grains, and has generally improved man’s welfare. However, pesticide usage may lead to undesirable residues as trace contaminats of food, the environment and living tissues. Pesticides are known to move from treated agricultural areas into the broader environment, then they can reach to the non-target organisms. Once pesticides enter the atmosphere, they may be transported long distances. The escape of these chemicals into the atmosphere represents an economic loss to the user, inefficient control of pests, and introduction of possible environmental contamination. With the basis of update references, this article deals with; movement of pesticides from the site of application, environmental behaviour of pesticide and fate of pesticide in the soil-plant system.
Smart SMEs for Industry 4.0

The Fourth Industrial Revolution is here, are we ready?

Companies across the globe are digitally transforming as they are challenged to improve business processes and develop new capabilities and business models. 4IR technology patent applications are on the rise, Industry 4.0 ambitions are high, manufacturing and manufacturing technologies do well, spending on the Internet of Things in industrial markets in 2018 looks promising … and the list goes on. The so-called fourth industrial revolution is of course not just a matter of technology. It is also a matter of cooperation between European regions! But while large companies are anticipating the changes arising from the digital revolution in the production and value creation process, SMEs are struggling to embrace the Industry 4.0 revolution. The uptake of advanced manufacturing solutions is still a challenge to SMEs: only one in five manufacturing companies have already used advanced manufacturing solutions.

Partners from regions across Europe have decided to join forces to exchange experience on how policies related to Structural Funds can unlock the full potential of Industry 4.0, fully convinced that the success of digital transformation will greatly depend on the SMEs, which feels in need of more practical support. 
SMEs4I4.0 project is born to establish a common basis for policy learning among its members to overcome fragmentation of Industry 4.0 solutions and their enabling potential by dealing with main challenges hampering their diffusion into the European Union ecosystem. It is therefore key to bring together and to connect best capabilities across the EU as to foster the development, upscale, and commercialization but also diffusion of Industry 4.0 solutions – whether these are new technologies, products, services, business models, etc.

The time has come to implement Industry 4.0, let’s cooperate!
A reconfigurable antenna with omnidirectional and directional patterns for MIMO systems

In this paper, we propose a novel pattern reconfigurable planar antenna for employment in a 2×2 multiple input, multiple output (MIMO) system. By switching between the microstrip elements, the antenna can generate a single omnidirectional mode or four directional modes. The design has been tuned for a frequency of 3.8 GHz and has a bandwidth of at least 400 MHz, depending on the configuration. The flexibility in directional and omnidirectional operation, in concert with the wide operating bandwidth, makes this antenna an ideal candidate for future MIMO systems. This paper presents the antenna array architecture as well as simulated return loss and mutual coupling.
Directing Attention in Time as a Function of Temporal Expectation

Attention can be directed in time as well as space. Directing attention toward the time that an event is likely to occur improves speed and accuracy of information processing. Functional neuroimaging has identified a hemispheric lateralization for attentional orienting in inferior parietal cortex, with spatial orienting lateralized to the right hemisphere and temporal orienting to the left. Indeed, the left inferior parietal cortex is activated whether temporal attention is oriented voluntarily by symbolic cues or automatically by visual motion or auditory rhythms. By contrast, exogenous shifts in temporal attention to unexpectedly early targets activate sensory regions, whereas endogenous shifts to unexpectedly late targets activate the right prefrontal cortex and Supplementary Motor Area (SMA). These activations reflect phasic bursts in activity at the moment in time to which attention has been allocated, either in anticipation of an expected event or in order to process an unexpected one, and may be mediated by a top-down biasing signal from left parietal cortex.
Mechanism of the homeostatic feedback between taste circuits and feeding behaviours

Acquiring the right food in the right amounts at the right time is a fundamental condition for animal survival and health. Animals detect tastants in a food resource via gustatory sensory neurons, and process this information in brain where higher order and modulatory neurons interact. Subsequently, decisions are transmitted to motor neurons that execute food-related behaviour. In the gustatory system however, most of these circuit components, and how they function, are yet to be identified. To address these questions my project uses Drosophila as the model system to characterize a novel gustatory circuit, especially about its neuronal populations and the wiring diagram. Additionally, I will characterize the relationship between circuit activity and feeding behaviour. Finally, the molecular and cellular mechanisms of these relationships will be investigated. Taken together, these studies will shed light on the formation and regulation of the gustatory system.
LIQUID ELECTROPHOTOGRAPHIC INK COMPOSITIONS

A method of producing a material with a perovskite structure on a substrate by liquid electrophotographic printing comprises: either liquid electrophotographically printing onto the substrate a composition comprising a dispersion of a salt AX and a thermoplastic resin in a carrier liquid; liquid electrophotographically printing onto the substrate a composition comprising a dispersion of a salt selected from BX2 and BX4 and a thermoplastic resin in a carrier liquid; and heat treating the printed compositions to form the material with a perovskite structure; or liquid electrophotographically printing onto the substrate a composition comprising a dispersion of a material with a perovskite structure and a thermoplastic resin in a carrier liquid to form the material with a perovskite structure; wherein A is a cation, B is a cation and X is an anion; wherein the thermoplastic resin comprises a copolymer of an alkylene monomer and a monomer having acidic side groups.
HAIR COSMETIC COMPOSITIONS CONTAINING THIOL-BASED COMPOUNDS AND METHODS FOR CLEANSING AND TREATING HAIR

The present invention relates to a hair cosmetic composition for cleansing and conditioning hair fibers, in particular human hair fibers, the hair cosmetic composition comprising anionic surfactants, amphoteric surfactants, thiol- based compounds selected from thiolactic acid, thiolactic acid derivatives, their salts, and mixtures thereof, thickening agents; nonionic surfactants; and water; wherein the pH of the composition ranges from about 2 to less than 7. The invention also concerns a method for imparting hair care benefits to hair fibers such as straightening effects, volume reduction, frizz control, manageability, cosmeticity, and smooth feel, in addition to cleansing and conditioning benefits and a use for hair care employing the cosmetic compositions of the present invention.
Savings and economic growth in South Africa: A multivariate analysis

Growth theories highlight the importance of domestic savings for Economic growth. The savings and growth literature points generally to a positive growth effect of domestic savings. For a country like South Africa, where the level of domestic saving is low, the question of the role of savings in economic growth becomes critical. An understanding of the contribution of the different forms of savings in an economy to its economic growth is important, especially to be able to make the proper policy addresses. This paper applies cointegration analysis within a multivariate framework to establish the effect of household, government and corporate savings on economic growth in South Africa. The result indicates that corporate saving has a significant positive relationship to growth in both the long and short run, while household and government saving have no significant impact on growth. There is need for policies that increase the level of domestic savings and also a need to address government policies that impact on both public and household savings rate.
Thermocatalytic conversion of cellulosic biomass to furan-2,5-dicarboxylic acid (fdca) over single-atom based catalyst

Furan-2,5-dicarboxylic acid (FDCA) is a biobased product and an important chemical building block. It has a huge potential as a substitute for a variety of petrochemicals, such as terephthalic acid and adipic acid. It is highly important for the pharma industry as it is being used in biopolymer industries to make polyesters, polyurethanes, and polyamides. Currently, avantium process is the only established industrial process consisting of the catalytic dehydration of carbohydrates to alkoxymethylfurfural (RMF) which is further oxidized to the sodium salt of FDCA using homogenous catalytic system. Using the homogeneous catalytic system for oxidation process followed by the alkaline solution for separation process makes the process more expensive and less eco-friendly. However, base-free systems lead to low yield and selectivity, therefore extensive research is required for exploring a new heterogenous catalytic system. Direct utilization of cellulosic biomass as a feedstock over the multifunctional heterogeneous catalytic system will improve the economic feasibility with optimized production technologies, as these are abundantly available at a low cost. I will achieve this goal by designing a multifunctional catalyst with the combined effect of acid, base and metal sites as a single atomic site. Cell2Carbox project aims to develop unique and sustainable catalytic processes for FDCA production from an inexpensive and highly abundant cellulosic biomass using multifunctional heterogeneous SACs (Single-atom based catalyst) system. Besides, the project comprises a program for my professional growth by training-through-research in heterogeneous catalysis and for the development of complementary skills. Strengthened by this experience, I will become independent expert in the process development for biomass valorization, as of major scientific importance in the coming decades as it is postulated in the EU Vision The circular bio-society in 2050.
Distributing inspections in space and time – Proposed solution of a difficult problem

Abstract There are several identical facilities in which precious or dangerous material is processed or stored. Since parts of this material may be diverted by some manager or employee of these facilities or since failures in the processing of the material may occur, an authorized organization inspects these facilities regularly at the beginning and at the end of some reference time interval. In order to shorten the time required for detecting such an illegal activity or failures, in addition some interim inspections are performed in these facilities during the reference time interval. The optimal distribution of these interim inspections in space and time poses considerable analytical problems since adversary strategies have to be taken into account. So far only special cases have been analysed successfully, but these results lead to a conjecture for the solution of the general case which is surprisingly simple in view of the complexity of this inspection problem.