SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
The first video content management platform integrated with machine learning to centralize, organize and collect data from marketing videos

Video marketing is one of the most popular strategies for marketers today. With the growing popularity of social media and increased streaming capacities of the network the time spent watching on-line videos is reaching record numbers and is not predicted to decrease. Video will account for 80% of internet traffic by 2021 with nearly 50% of internet users looking for videos related to a product or service before visiting a store. With these numbers, marketers possess an attractive, versatile, and extremely shareable medium to reach their audiences. However, this increasing demand for online videos has led to a need for more efficient video content management solutions that could enable companies and organizations to better organize, manage, host and distribute online their videos. VideoEngage provides the first all-in-one video content management platform allowing users to edit, collaborate, store, host and distribute online videos. Delivered with integrated Artificial Intelligence, VideoEngage comes with a set of analytical and tracking tools to give publishers insights into the success of their videos, providing end-users with real time information on the actual and potential impact of a video campaign for improved companies’ return on investment. VIDMIZER is expected to save 20 times marketing teams’ productivity by diminishing time spent on video management. For us, this is a strategic project. We expect from its commercialization to provide an accumulated profit of €20.7 million by 2024 (ROI of 5.48) and foresee to create 34.5 new jobs.
CHARACTERIZING PATHOLOGY IMAGES WITH STATISTICAL ANALYSIS OF LOCAL NEURAL NETWORK RESPONSES

For digital pathology imaging, intelligent processing, such as automatic recognition or content-based retrieval, is one significant benefit that drives the wide application of this technology. Before any intelligent processing on pathology images, every image is converted into a feature vector which quantitatively capture its visual characteristics. An algorithm characterizing pathology images with statistical analysis of local responses of neural networks is described herein. The algorithm framework enables extracting sophisticated textural features that are well adapted to the image data of interest.
Human myosins

In utero development is critical for normal skeletal and cardiac muscle function throughout life. Many diseases, such as distal arthrogryposis (affecting 1/3000 live births)  and clubfoot (1/1000) in skeletal muscle and arrhythmias in cardiac muscle (1/4000), manifest in the embryonic and foetal period. They permanently affect longevity and quality of life. Because the effects of these diseases are present at birth, the study of in utero samples is essential to understanding the diseases’ properties and effects on the developing muscle tissues. Additionally, many of these afflictions are caused by mutations in the isoforms of troponin or myosin II that are predominantly expressed during human development. Studying the native muscle is all the more important as a control in furthering research on the effects of mutations in troponin and myosin. In particular, human foetal-specific isoforms of myosin II expressed in these muscle are poorly understood and very little has been published about these isoforms. We do know from the literature that myosin’s use of its substrate, ATP, varies widely between isoforms  and that the myosin expression changes during times of physiological distress, such as heart failure. Because congenital abnormalities of the heart and skeletal muscle both can originate in the foetal muscle, further investigation is needed into the myosins’ biophysical and biomechanical mechanisms. The overarching goal of this project is to improve understanding of how foetal forms of skeletal and cardiac myosins work and are regulated by troponin in muscle, using biophysical-biochemical, molecular biology and computational modelling techniques. The fellow will do this by experimentally determining the kinetics of myosin-ATP, myosin-actin and myosin-actin-troponin-tropomyosin interactions using stopped-flow kinetic analysis, and then use the parameters defined to inform the computational models developed by Dr. Geeves.
A comparison of model order reduction methods used in different FE software tools

A comparison between modelling and simulation methods in regard to model order reduction (MOR) in finite element (FE) simulation tools is presented. Two main software tools are taken into consideration: ANSYS Multiphysics 11 with its extension MOR for ANSYS 2.55 and COMSOL Multiphysics 3.5a with a model order reduction interface to MATLAB/Simulink. The results achived with both software packages are compared concerning simulation time and quality. The encounterd advantages and disadvantages are named. Starting with a short review on the different numerical methods used in MOR the implemented algorithms within ANSYS and COMSOL are tested on an electro-thermal problem. The limitations and the usability concerning model setup and parameterization are listed and compared. A step-by-step procedure using both tools is given and the results are compared in detail.
Residual soft wood conversion to high characteristics drop-in biofuels

REWOFUEL goal is to demonstrate the performances, reliability, environmental and socio-economic sustainability of the entire value chain, for the transformation of residual soft-wood into hydrolysate (RWH), conversion of RWH into bio-Isobutene (bio-IBN) by fermentation and further conversion to biofuels. To achieve these goals a team of 11 partners, leaders in their field, originating from 7 EU-member states, will join efforts.
REWOFUEL consists in showcasing the value chain, from residual wood to 3 high performance drop-in biofuels derived from bio-IBN. These biofuels are full-bio-ETBE, bio-isooctane and bio-isododecane rich biofuels. This large market is today supplied entirely by products derived from fossil-based IBN. Products derived from bio-based IBN, using the same process as fossil-based IBN, would provide a true renewable alternative.
REWOFUEL includes the development & up-scaling of this process and the valorization of coproducts: lignin, microbial biomass, biogas and fertilizers. To this end, four ambitious objectives were defined:
-Demonstrate the production of residual wood hydrolysate (RWH) and establish a quality standard to feed the IBN fermentation unit,
-Demonstrate the production of bio-IBN-based biofuels from RWH at pre-commercial scale,
-Demonstrate the valorization of lignin and other coproducts resulting from the RWH process,
-Determine and validate the targeted technical, safety, economic as well as environmental/social sustainability performances to be achieved for a commercial plant.
This project aligns with the core innovation strategies of 2 SMEs which are: deconstructing of wood (SEKAB, SWE) and conversion of sugars/hydrolysates into bio-IBN (GBE, FR). These 2 SMEs are already operating a demo plant that they intend to further upgrade within the project.
Related Work packages, tasks, milestones and risks are considered in order to achieve these objectives.
REWOFUEL project is fully aligned with the call topic.
Membrane-Free low cost high density rfb

Redox Flow Batteries (RFB) are a key enabling technology for the energy transition. Mass market introduction of RFB’s has been hampered by various factors – material scarcity and cost (e.g. vanadium-based RBF), limited catalyst lifetime, membrane costs, system complexity and safety issues. The development of an economically viable, environmentally benign and sustainable redox-flow battery (RFB) storage systems is therefore eagerly awaited. The MEmbraneless LOw cost high DensitY RFB (MELODY) project will develop a sustainable RFB technology that is able to reduce the costs of electricity storage to an absolute minimum, even below the 0.05 €/kWh/cycle by 2030 as set out in the SET plan. MELODY employs a unique triple cost reduction strategy on the conventional RFB concept while tackling all major technical issues in an integrated manner. The three key elements are 1)	A membraneless flow battery concept 2) the choice for hydrogen and bromine 3) Simplified system design.
This approach will results in the realization and operation technology for a practical membraneless H2-Br2 redox flow battery at industrially relevant scale (based on dedicated Cell, Stack and Balance of Plant development and piloting). Hereby MELODY will improve all elements that will be limiting after successfully eliminating the membrane (Electrode and electrolyte development, sustainability and techno-economic assessments). With an unrivalled low Levelized Cost of Storage MELODY’s solution is best positioned to change storage from a pure cost factor into a valuable business cases and will enable a wider integration of renewables in the European energy mix. To successfully complete all objectives as set out in the call, MELODY brings together a world-class consortium of SME’s (Elestor, PV3 Technologies, Vertech), industry (Shell) and academic leaders (TU Delft, Technion, University of Exeter, ETH Zurich) that has all required know-how and capabilities to complete the project.
Direct cylinder injection-type spark ignition internal combustion engine

A direct cylinder injection-type spark ignition internal combustion engine comprising a spark plug (6), a cavity (8') formed in the top surface of a piston (5'), and a fuel injection valve (7) for injecting fuel in nearly the shape of a fan having a relatively small thickness so that the fuel collides with a bottom wall of said cavity (8') at an acute angle, wherein, when the fuel injected in nearly the shape of a fan from said fuel injection valve (7) is considered by being divided into a plurality of fuel segments in a radial direction, the bottom wall of said cavity (8') has a plurality of neighboring fuel leading passages (81a, 81b, 81c) for leading said plurality of fuel segments collided toward the side wall (82') of said cavity (8), the side wall (82') of said cavity (8) has a first fuel deflection passage and a second fuel deflection passage for so deflecting at least two of said plurality of fuel segments led by said plurality of fuel leading passages as to pass near said spark plug (6), and the angle of collision of the fuel in a first fuel leading passage among said plurality of fuel leading passages for leading said fuel segment to said first fuel deflection passage, is smaller than the angle of collision of the fuel in a second fuel leading passage among said plurality of fuel leading passages for leading said fuel segment to said second fuel passage deflection passage.
Numerical study on the temperature field of underwater flux-cored wire arc cutting process

The fast development of ocean engineering makes the underwater cutting more and more important. In present study, a special underwater wet cutting method, namely the underwater flux-cored wire arc cutting (FCAC) was introduced. The underwater cutting experiment was conducted using flux-cored wire cutting method, and experimental as well as numerical analysis was carried out to investigate the temperature field during underwater FCAC process. According to the mechanism of the underwater FCAC, double ellipsoid heat source model considering arc heat as well as chemical heat was introduced, and the boundary condition of pool boiling heat transfer was selected. The calculated thermal cycles during underwater FCAC process match well with those acquired by the experiment, which proves the model and boundary condition in this study to be applicable for underwater FCAC. It is found that the calculated t8/5 value is shorter than 0.5 s, which is much shorter than the one of air-arc cutting process and the one of underwater welding process. In addition, the heat affected zone (HAZ) near the cut cavity is determined, which is expected to facilitate the further research on the cutting mechanism, as well as the optimization of cutting parameters.
PRESUME AND REAL BATHYMETRY OFF BAY OF BENGAL REGION USING MIKE 21 HD MODULE

The study of ocean flow field, principally due to tides, has assumed a new dimension in the wake of surging coast based developments be it in the form of ports and harbours, offshore structures, power plants etc.  In the Indian coasts, the tides are generally semidiurnal.  In the offshore region where the depth is enormous the influence of tidal range is not keenly felt as must in nearshore waters which constitute the nucleus of developmental activities.  In view of this, the authors felt that ‘tide’ is an important parameter which needs to be studied in more depth keeping in the ground realities in the east coast of India-which is steadily becoming the cradle of industrial developments. For this purpose, the tide induced flow fields were simulated using nested grid systems with MIKE 21-HD module. The results reveal that the tidal range increases monotonically from south to north showing by and large a weak tide induced current. The study area chosen for the present analysis extends from Nagapattinam (Tamilnadu coast) to Paradip (Orissa coast).The intensity of tide induced current varies from 0.075m/sec near Nagapattinam to 0.249 m/sec near Paradip.   The intensity was seen to be in agreement with simulations carried out for all the tidal constituents pot together including M 2 and S 2 .  The result shows that that the magnitude of the simulated tide induced currents at about 20m depth slowly increases from south to north to an extent of 0.249 m/sec, which needs to be reckoned with in coastal development projects where even such small increase carries some significance-sya in littoral transport computations.
Salinity, dissolved organic carbon and water hardness affect peracetic acid (PAA) degradation in aqueous solutions

Abstract Peracetic acid (PAA) is used in aquaculture under different conditions for disinfection and therapeutic purposes. There is limited information about its environmental fate, particularly its persistence in aquatic systems with different physical–chemical conditions. This study investigated PAA-degradation of three commercial products, Wofasteril ® E400, Wofasteril ® E250 and Wofasteril ® Lspez, at a nominal concentration of 1 mg L −1 in relation to two levels of salinity, water hardness, or dissolved organic carbon (DOC). The results showed that salinity and DOC stimulate PAA-degradation, while water hardness had only minor impact. For commercial aquaculture, actual PAA concentration in the raw product needs to be measured; the fate of PAA in individual facilities must be carefully monitored and feasible application strategies need to be investigated to achieve maximal disinfection and therapeutic efficiency.
Innovative stunning technology based on a natural anesthetizing agent in ice to improve animal welfare and extend shelf-life of farmed fish

CUBI-PLAYA S.L. is a Spanish SME dedicated to ice manufacture, currently employing 39 people. We are specially targeted to the fish sector. We supply high quality ice to fisheries, aquaculture companies and fish processing factories, with the result of a close working relationship with main stakeholders. 
It is well known that stress situations adversely affect muscle quality, especially during the last period of fish life: slaughter. Traditional slaughtering process involves the death by asphyxia in ice or air, which exposes fish to substantial suffering over excessive periods of time. The distress suffered results in detriment of fish flesh quality and shelf-life, besides imposing avoidable suffering to fish. A pre-stunning phase is therefore recommended, to rapidly cause loss of consciousness and sensibility without pain. However, most of the slaughtering procedures used in fish farm conditions nowadays do not involve a stunning phase. 
In collaboration with experienced researchers, we have developed ICE2LAST, an integrated solution to speed up the stunning/sedation phase of farmed fish before slaughter, which results in a longer shelf-life and better flesh quality. 
Fish stunning is caused by an anesthetizing natural substance. When included into crush ice, it causes the complete stunning of the fish in less than 1 minute. By shortening the stunning process, fish flesh quality improves and its spoilage can be delayed more than 50%, compared to traditional slaughtering methods. ICE2LAST is a cost-effective and easy to handle solution, whose implementation leads to enhance fish food quality, reduce fish losses and improves animal welfare.  
EU is expected to increase its fish food domestic production, particularly through aquaculture promotion. With projections of a 4% annual growth in this sector, ICE2LAST can boost growth and employment in our company. Thanks to this new product we expect to employ 16 more people in Spain and overseas.
Evaluation and monitoring of water diffusion into stone porous materials by means of innovative IR thermography techniques

Abstract This paper shows the application of two innovative infrared thermography (IRT) methods for the evaluation of water transport phenomena through the outer layers of porous stone materials. An infrared camera measured: (a) the moisture stain due to the water absorption after having spilled a drop on the stone surface and (b) the ”moisture ring” around the damp surface, after the contact between a soaked round sponge and the stone surface. The time of spreading and the geometric shape of the damped area depend on the porosity of the stone material and are useful to characterize the physical stone features. In addition, monitoring the evolution of the moisture ring by IRT allows implementing and optimize the data coming from protocols of water repellent products with data coming from the “contact sponge measures”. Moreover, moisture ring test links IRT and laboratory tests characterizing the transport phenomena of liquid and water vapour in porous building materials. Thirty specimens of marble, calcarenite and sandstone were tested with steady methods (dry index and water absorption by capillarity), that validated the data provided by the two innovative IRT techniques.
Olive oils from Algeria: Phenolic compounds, antioxidant and antibacterial activities

The phenolic compositions, antioxidant and antimicrobial activities against six bacteria of phenolic extracts of olive oil varieties from eleven Algerian varieties were investigated. The antioxidant activity was assessed by determining the scavenging effect on the DPPH and ABTS .+ radicals. The antimicrobial activity was measured as a zone of inhibition and minimum inhibitory concentration (MIC) on human harmful and foodborne pathogens. The results show that total phenols was significantly (p .+ radicals (r = 0.76). Among the bacteria tested, S. aureus and to a lesser extent B. subtilis showed the highest sensitivity; the MIC varied from 0.6 to 1.6 mg·mL -1 and 1.2 to 1.8 mg·mL -1 , respectively. The results reveal that Algerian olive oils may constitute a good source of antioxidant and antimicrobial agents.
A Novel Forensics Analysis Method for Evidence Extraction from Unallocated Space

AbstractComputer forensics has become a vital tool in providing evidence in investigations of computer misuse, attacks against computer systems and more traditional crimes like money laundering and fraud where digital devices are involved. Investigators frequently perform preliminary analysis at the crime scene on these suspect devices to determine the existence of target files like child pornography. Hence, it is crucial to design a tool which is portable and which can perform efficient preliminary analysis. In this paper, we adopt the space efficient data structure of fingerprint hash table for storing the massive forensic data from law enforcement databases in a flash drive and utilize hash trees for fast searches. Then, we apply group testing to identify the fragmentation points of fragmented files and the starting cluster of the next fragment based on statistics on the gap between the fragments.KeywordsComputer ForensicsFingerprint Hash TableBloom FilterFragmentationFragmentation Point
Charge-Transfer states for high-performance organic electronics

Thin films comprising a blend of electron donating (D) and electron accepting (A) molecules are ubiquitous in organic electronic devices. At the D-A interfaces, intermolecular charge-transfer (CT) states form, in which an electron is transferred from D to A. Electrical doping (p- and n-type) involves ground-state CT from dopant to host and results in increased conductivities of the host organic semiconductor. Furthermore, the performances of organic solar cells, photodetectors and light emitting diodes depend crucially on  D-A interfaces where the CT state is an excited state, mediating between photons and free charge carriers. New applications of intermolecular CT states, such as transparent conductors, artificial synapses, biosensors, organic persistent luminescent materials and low cost narrowband near-infrared sensors have emerged in the past years, and there is clearly potential for additional innovation. However, current progress is hampered by a lack of understanding of the fundamental properties of intermolecular CT states and their decay and dissociation mechanisms. ConTROL aims to fill this knowledge gap and link device performance to molecular parameters of D-A interfaces. Electro-optical properties will be tuned by molecular design and appropriate D-A selection, as well as by weak and strong interactions with the opto-electronic device’s optical cavity. The knowledge generated will not merely result in improved performance of existing organic electronic devices, but new avenues and novel exciting applications of intermolecular CT states will be demonstrated.
Keynesian, post‐Keynesian versus Schumpeterian, neo‐Schumpeterian

Purpose In order to explain change and growth at the aggregate levels, three levels: macro, meso and micro must be taken into account. Applying the theories from Keynesian and post‐Keynesian economics (PKE) best explains the macro level and applying those from Schumpeterian and neo‐Schumpeterian economics (NSE) best explains the micro level. Besides this, the meso level can be further explained by merging both post‐Keynesian and neo‐Schumpeterian theories. Such a unifying approach has been missing from the literature so far. Bringing these schools of thought together is important for mutual learning and further development of innovation theory. This paper aims to effect this. Design/methodology/approach The paper presents a survey of the relevant secondary literature of the aforementioned schools of thought, identifying their methodological practice and key contributions to innovation theory. Findings A combination of these schools of thought offers a richer approach to studying innovation. It is found to exist in particular in the evolutionary, institutional and long‐run perspectives, in combination with emphasis on the role of finance in production. Research limitations/implications One is invited to develop one's own theoretical and empirical approach that combines the advantages of all the schools of thought presented. Originality/value The paper is exploratory, as it reconsiders how a comprehensive approach to studying innovations can be built. It examines the existing literature. It will be of value to researchers in innovation.