SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Vision for retail

One of the major pain points in retail is the lack of speed and precision in information from the selling floor. Acquiring accurate and real-time feedback on inventory distortions, such as out-of-stock, overstock and misplaced items is of paramount importance for all retail operations. This has been pinpointed as an $800 billion global problem for wholesalers, market researchers and retailers. The current practice of supermarket shelf monitoring and auditing relies on the visual inspection of supermarket shelves by a human auditor. This visual inspection mainly involves recognizing packaged products displayed on the shelf and producing an approximate shelf share value for each. The main concept of our innovative solution is to transfer this visual recognition task performed by the auditor to our computer vision based visual recognition software service, which can produce much more accurate and much more detailed counts using a few digital pictures of the supermarket shelf. We think such a service will ease many of the labour intensive problems in retail auditing and consequently be extremely beneficial for our target customers consisting of wholesalers, market research companies and retailers. We have already developed a prototype system for computer vision based automated supermarket shelf monitoring and has tested this prototype in a pilot study carried out jointly with an international market research company. We have therefore shown the technical feasibility of the innovation. At the current stage, we aim at carrying out a feasibility study with two-fold objectives: (1) An extensive analysis of the target markets, (2) A concurrent scalability analysis of the solution in terms of operational and financial aspects. These two objectives will lead to an elaborate business plan for scaling
the innovation.
Classification of lip color based on multiple SVM-RFE

Classification of lip color is an important aspect in the theory of Traditional Chinese Medicine (TCM). The lip color of one person can reflect the person's healthy status. This paper investigates the effectiveness of multiple support vector machine recursive feature elimination (SVM-RFE) for feature selection in the classification of lip color. In the proposed method, both the normalized histogram features and the mean/variance features are computed for the ranking score from a statistical analysis of weight vectors of multiple linear SVMs trained on subsamples of the original training data. Experimental results show that not only the multiple SVM-RFE is effective for feature selection in the lip color classification, but also the accuracy rate of classification of the proposed method is better than the existing SVM method, which is close up to 91%.
DRAWER GUIDE

The invention relates to a drawer guide (100) for displaceably arranging, on a carcass, a drawer which can be pulled out of said carcass in a pull-out direction (112), said guide comprising at least two guide rails (102) which can be displaced relative to one another, as well as a stopper device (120) for stopping at least one of the at least two guide rails (102) relative to at least one other of the at least two guide rails (102), with respect to the pull-out direction (112) and in at least one position, and said stopper device (120) comprising at least one stopper element (124) and at least one stopper element holder (122) for holding said at least one stopper element (124), these being located on different guide rails (102) of the drawer guide (100). In order to obtain such a drawer guide, which allows at least two guide rails (102) to be stopped relative to one another in a reliable manner, it is suggested that at least one stopper element holder (122) should comprise at least two holder sections (144) between which at least one stopper element (124) can be held when the drawer guide (100) is in a stopped state, wherein, with respect to a path (140) of relative movement of at least one stopper element (124) in relation to at least one stopper element holder (122), at least two holder sections (144) are arranged, on opposing sides of this relative movement path (140).
Neural circuit dynamics underlying expectation and their impact on the variability of perceptual choices

Just as our experience has its origin in our perceptions, our perceptions are fundamentally shaped by our experience. How does the brain build expectations from experience and how do expectations impact perception? In a Bayesian framework, expectations determine the environment’s prior probability, which combined with stimulus information, can yield optimal decisions. While the accumulation-to-bound model describes temporal integration of sensory inputs and their combination with the prior, we still lack electrophysiological evidence showing neural circuits that integrate previous events adaptively to generate advantageous expectations.
 
I aim to understand (1) how circuits in the cerebral cortex integrate the recent history of stimuli and rewards to generate expectations, (2) how expectations are combined with sensory input across the processing hierarchy to bias decisions and (3) whether the dynamics of the expectation can dominate neuronal and choice variability. I will train rats in a new auditory discrimination task using predictable stimulus sequences that, once learned, are used to compute adaptive priors that improve discrimination. I will perform population recordings and optogenetic manipulations to identify the brain areas involved in the computation of priors in the task. To reveal the circuit mechanisms underlying the observed dynamics I will train a computational network model to classify fluctuating inputs and, by adapting its dynamics to the statistics of the stimulus sequence, accumulate evidence across trials to maximize performance. The model will generalize the accumulation-to-bound model by integrating information across various time scales and will partition choice variability into that caused by the dynamics of the prior or by fluctuations in the stimulus response. My proposal points at a paradigm shift from viewing neuronal variability as a corrupting source of noise to the result of our brain’s inevitable tendency to predict the future.
Influence of platinum, antimony and iron ions on coloration of alkali-borosilicate optical glass

Abstract We studied influence of platinum, antimony and iron ions on the coloration of alkali-borosilicate glass. The optical transmittances of glass specimens with and without antimony were compared, and the cause of absorption in antimony-free glass was studied. It was found in antimony-free glass that a small amount of dissolved Pt 2+ on the ppm order causes strong absorption at approximately 360 nm resulting in a yellowish color. This absorption was not observed in the specimens melted at temperatures below 1150 °C, or in the colorless specimens containing antimony or iron. It was indicated, in the colorless specimens that platinum exist as Pt 4+ , the absorption of which occurs in the UV region. The oxidation state of platinum ions was strongly affected by melting temperature or coexisting multivalent ions such as antimony or iron ions, which act as an oxidant of platinum ions. Keeping the melting temperature low and employing appropriate oxidant ions are effective means of designing colorless antimony-free optical glass.
Vanadium Redox Flow Battery Control in Flexible Microgrids

This paper discusses the control of flexible microgrids consisting of a Redox Flow Batteries (RFB) and a new power conditioning system (PCS) for the RFB. Considering the importance of energy storage, this study is essential in power systems that are developing cautiously. RFB is connected to power system by a DC/DC or DC/AC converter producing a DC voltage. It is very important that this converter to be effectively be modeled and controlled for the applications in microgrids. This paper focuses on control the active power and the reactive power simultaneously in RFB systems. In this regard, this study proposes a new Flexible AC Transmission System (FACTS) compensator for microgrids which is able to control the active and reactive power. This type of compensator presents a good transient response. The simulation results show the validity of the proposed system. Simulations are performed by using Matlab-Simulink block set.
Improving the mountain cross-border road network from the Resia Valley to the Uccea border crossing

Renovating the cross-border road network, which was first prevented and then, over the last fifty years, limited by the border and by antagonistic geopolitical and economic systems, is functional to a cross-border cooperation based on new social-economic relations between the people living on the border, in order to foster the process of integration along the Italian-Slovenian border. In this framework, the project envisages the recalibration, strengthening, enlargement and upgrading of minor roads aimed at connecting local infrastructures in border towns. Specifically, the infrastructural actions envisaged concern: the road running from Cepletischis (Municipality of Savogna) to the Polava border crossing and the road running from Livek - Polava border crossing in the Slovenian territory; the road going from Bivio Crai (Municipality of Drenchia) to the Solarie border crossing and, in Slovenian territory, the completion of the Volce – Solarie road network and the adjustment of the Solarie – Kanalski Kolovrat – Kambresko road. Lastly, the roads running from Covacevizza to Molino Vecchio and from Prepotto to Molino Vecchio - Molino Vecchio (Britof) border crossing, as well as the Britof – Lig – Kanal ob Soči road network in the Slovenian territory will be adjusted and improved. By improving the road network, the project aims at creating a joint social-economic and cultural basin in the cross-border area.
Biomaterials derived from food waste as a green route for the design of eco-friendly, smart and high performance cementitious composites for the next generation multifunctional built infrastructure

This proposal aims to develop new intelligent cementitious nanocomposites for multifunctional built infrastructure made by combining ordinary Portland cement (OPC) with cheap bio-nanomaterials synthesised from root vegetable waste such as carrot and beetroot waste streams produced by the food processing industry.  These innovative cementitious composites are not only superior to current cement products in terms of mechanical and microstructure properties, but also use smaller dosages of cement thereby significantly reducing both the energy consumption and CO2 emissions associated with the cement manufacturing. Further, as a result of these bio nanomaterials, the resulting cementitious composites exhibit an astonishing piezoelectric effect enabling concrete structures to perform multiple functions such as: 1) self-monitoring mechanism to sense, feel and diagnose impending catastrophic structural failures and 2) green energy production by converting mechanical energy (i.e. vibration and impact induced by transport systems, wind and water waves) into inexpensive and readily available electrical energy source.  Capturing this waste energy source from the built infrastructure surfaces is of great importance as it can be used to power the built-in-self-monitoring systems, houses and conventional auxiliary systems such as lighting posts, traffic lights, advertising boards and electric vehicle charging stations.
Limit on the ultrahigh-energy cosmic-ray flux with the Westerbork synthesis radio telescope

A particle cascade (shower) in a dielectric, for example as initiated by an ultra-high energy cosmic ray, will have an excess of electrons which will emit coherent \v{C}erenkov radiation, known as the Askaryan effect. In this work we study the case in which such a particle shower occurs in a medium just below its surface. We show, for the first time, that the radiation transmitted through the surface is independent of the depth of the shower below the surface when observed from far away, apart from trivial absorption effects. As a direct application we use the recent results of the NuMoon project, where a limit on the neutrino flux for energies above $10^{22}$\,eV was set using the Westerbork Synthesis Radio Telescope by measuring pulsed radio emission from the Moon, to set a limit on the flux of ultra-high-energy cosmic rays.
Rodents having an engineered heavy chain diversity region

Non-human animals and methods and compositions for making and using them are provided, wherein said non-human animals have a genome comprising an engineered or recombinant diversity cluster within an immunoglobulin heavy chain variable region, which engineered or recombinant diversity cluster comprises an insertion of one or more coding sequences of a non-immunoglobulin polypeptide of interest. Non-human animals described herein express antibodies characterized by complementary determining regions (CDRs), in particular, CDR3s having diversity that directs binding to particular antigens. Methods for producing antibodies from non-human animals are also provided, which antibodies contain human variable regions and mouse constant regions.
Assessing subsurface potentials of the Alpine Foreland Basins for sustainable planning and use of natural resources

To meet the EU’s ambitious targets for carbon emission reduction, renewable energy production must strongly be upgraded and made more efficient and capable for grid energy storage. Alpine Foreland Basins feature a unique geological inventory which can contribute substantially to tackle these challenges. Deep ‘Molasse’ basins at the fringe of the Alpine mountain range offer an abundant geothermal potential and storage capacity for weather-dependent wind and solar energy, as well as space for underground storage of gas or CO2. Exploiting these natural subsurface resources (geo-potentials) will strongly compete with existing oil and gas claims and groundwater issues. Thus, the efficient use and sustainable management of geo-potentials requires a holistic and transnational approach. In order to serve transnational decision-making, GeoMol will provide consistent 3-dimensional subsurface information based on coherent evaluation methods and commonly developed criteria and guidelines.
The excavation of buried articulated Neanderthal skeletons at Sima de las Palomas (Murcia, SE Spain)

At Sima de las Palomas del Cabezo Gordo (Murcia, Spain) remains of several Neanderthals have been excavated recently. From about 50,000 years ago articulated parts of 3 adult skeletons (including skulls with mandibles, vertebral column, rib cages, shoulder blades, hip bones, upper and lower limbs, hands and feet, often in anatomical connexion) were excavated from the lower part of a cemented accumulation of scree and large stones (eboulis) sloping downwards and inwards into the cavity, along with burnt bones of large mammals and Mousterian implements. The excavation of the skeletons is the subject of this paper (palaeoanthropological skeletal descriptions are soon to be published elsewhere). Behind the cemented scree there accumulated a layer of finer sediment containing burnt animal bones, followed by more fine sediment that filled the cavity up to the overhanging rock roof and contained isolated teeth and unburnt bone fragments of Neanderthals, including 3 mandibles, as well as Mousterian implements and faunal remains, all dating from before 40,000 years ago. Altogether, at least 9 Neanderthals are represented by finds from the site (including 3 unstratified mandibles), ranging from babies to adults. Dating methods include radiocarbon, uranium-series, and optical luminescence. Pollen analysis implies conditions less severe than those of the Heinrich 4 cold oscillation at 40,000 years ago.
Impact of an information campaign on delays and ambulance use in acute coronary syndrome

This thesis aims to describe the initial phase of an acute coronary syndrome (ACS) in overall terms from a national perspective and to evaluate the impact of an information campaign designed to inform the public about how to act when suspecting an ACS. A total of 1939 patients at 11 hospitals in Swedenwith diagnosed ACS and symptom onset outside hospital completed a questionnaire(I-IV).In Study V, a questionnaire was completed by 116 patients withACS before the campaign and 122 after it. Register data were followed every year to evaluate ambulance use and emergency department (ED) visits. With regard to symptoms, patients with ST-elevation ACS (STE-ACS) more frequently had associated symptoms and pain with an abrupt onset reaching maximum intensity within minutes. However, fewer than half the patients with STE-ACS had this type of symptom onset. There were more similarities than differences between genders and differences between age groups were minor (I). Three-quarters of the patients interpreted the symptoms as cardiac in origin. The majority contacted a family member after symptom onset, whereas few called directly for an ambulance. Approaching someone after symptom onset and the belief that the symptoms were cardiac in origin were factors associated with a shorter pre-hospital delay (II). Half the patients went to hospital by ambulance. Independent factors for ambulance use were knowledge of the importance of quickly seeking medical care and calling for an ambulance when experiencing chest pain, severe symptoms, abrupt onset of pain, STE-ACS, increasing age and distance to hospital of > 5 km. Reasons for not calling for an ambulance were thinking self-transport would be faster or not being ill enough (III). Pain with abrupt onset, STE-ACS, symptoms such as vertigo or near syncope, experiencing the pain as frightening, interpreting the pain as cardiac in origin and knowledge were major factors associated with a short delay between symptom onset and decision to seek medical care, patient decision time (IV). The information campaign did not result in a reduction in patient decision time, but it appeared to increase ambulance use and the number of patients seeking the ED for acute chest pain (V).
A novel shrouded vertical axis wind turbine for power generation in buildings

The reasoning which emerges the need for creating WindiBox is to effectively tackle the existence of limited wind turbine applicability for wind energy generation in buildings on a global scale. There is an obvious technological gap in the market, covering the exploitation of low speed air flows, especially in urban environments and areas where the dynamics of air are low and do not allow the installation of common wind turbines. According to the requirements imposed by the Energy Performance of Buildings Directive all new buildings must be nearly zero-energy by the end of 2020. All new public buildings must be nearly zero-energy by 2018. 
The WindiBox device is comprised of a vertical axis wind turbine, enclosed inside a box-shaped, convergent-divergent casing (diffusers). This casing has been proven to augment the rotational speed of the wind turbine by a factor of at least 2.5, compared to a stand-alone turbine and additionally, enhancing its power output by at least 3 times. WindiBox size of 1m height – 2.5m width – 4m length offers power outputs ranging from 2700-3400kWh annually for wind speed 5m/s. The casing is also utilized to act as an environmental shield for minimal noise and vibration emissions since its extended surface area can be exploited for the addition of insulation. WindiBox overcomes the technological limitations of existing solutions in the market as well as the targeted milestones for CO2 emissions imposed by the European Union. 
What differentiates WindiBox from the competition is that it offers an unparalleled cost-effective solution of ROI less than 4.5 years for 5m/s with exceptional performance characteristics, disrupting the existing market of renewables. 
Our goal is to bring the WindiBox solution to market, after preparing an elaborate business plan. According to our initial plan, within 5 years from WindiBox commercialization, revenues will reach an annual total of approximately 19.2 million euros and net profits estimated at 30%.
Firm Size and Profitability: A Study of Listed Manufacturing Firms ed Manufacturing Firms in Sri Lanka

The purpose of this study is to explore the effects of firm size on profitability of quoted manufacturing firms inSri Lanka. In this study, data of 15 companies which were active in Colombo Stock Exchange (CSE) betweenthe years 2008 to 2012 has been used. As indicators of firm profitability, Return on Assets and Net Profit havebeen used whereas Total Assets and Total Sales have been utilized as indicators of firm size. Correlation andregression methods have been used in the empirical analysis. There is no indicative relationship between firmsize and profitability of listed manufacturing firms, the findings reveal. In addition, the results showed that firmsize has no profound impact on profitability of the listed manufacturing firms in Sri Lanka.
Space-Borne observations for detecting and forecasting sea ice cover extremes

The main objective of this proposal is to develop new methods to retrieve sea ice parameters from existing (and imminent) satellite sensors to provide enhanced products for polar operators and prediction systems, specifically addressing extreme and unexpected conditions. 
Automatic remote sensing products traditionally provide general information on sea ice conditions such as ice extent and concentration. However, for ice charting, tactical navigation and management of off-shore activities much more important is to know and avoid hazardous sea ice conditions. In general, sea ice hazards are related to sea ice thickness. More often than not polar ships and off-shore platforms are only operating during summer seasons and certain regions. This is because they are designed to resist typical forces of induced by pack ice, but they are not designed to resist the extreme sea ice conditions. 

Ongoing climate warming has manifested as shrinking and thinning of pack ice in the Arctic. This is a primary driver for the increasing shipping, oil and gas explorations and mining activities in the Arctic. However, severe sea ice conditions still exist and in consequence many locations are impossible for ship based operations. Moreover, year-to-year variability of sea ice is very large and hazardous multiyear ice (MYI) floes sometimes appear also in typically seasonally ice free regions.

In order to response needs of increase polar activities, we propose to focus on detection of sea ice extremes and automatic production of “sea ice warnings” products. In particular, we aim for a detection of MYI floes in a area composed mostly first-year ice from synthetic aperture radar (SAR), heavily ridged ice regions from SAR, the thickest ice from radar altimeter (RA) thickness profiles, regional anomalies of thick or thin ice via passive microwave (PMW) data, sea ice areas vulnerable for the wave action, detection of early/late melting season and improving capabilities to forecast seasonal sea ice extremes.
FREQUENCY SCALING OF VARIABLE SPEED SYSTEMS FOR FAST RESPONSE AND POWER REDUCTION

A system including a plurality of amplifiers configured to generate a clock signal having a frequency. The clock signal is input to a processor. The amplifiers are connected in series. An output of a last one of the amplifiers is fed back to an input of a first one of the amplifiers. Each of the amplifiers has a transconductance. A frequency adjustment module is configured to adjust, based on an activity level of the processor, the frequency of the clock signal by adjusting the transconductance of the amplifiers.