SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Extended Laplacian Sparse Coding for Image Categorization

AbstractIn image classification task, several recent works show that sparse representation plays a basic role in dictionary learning. However, this approach neglects the spatial relationships in the image space during dictionary learning. However, this approach neglects the neighboring relationship in dictionary learning. To alleviate the impact of this problem, we propose a novel dictionary learning based on Laplacian sparse coding method that profits from the neighboring relationship among the local features. For that purpose, we incorporate the matching between local regions in the Laplacian sparse coding formula. Moreover, we integrate statistical analysis of the distribution of the responses of each local feature to the dictionary basis in the final image representation. Our experimental results prove that our method performs existing background results based on sparse representation.KeywordsBag of visual wordsSparse codingImage categorizationImage spatial information
RCIA

Cultural and Creative Industries (CCI) represent highly innovative companies with potential for strong economic impact and growth as one of Europe’s most dynamic sectors. Their strength is in their growth-inducing abilities that are not limited to this sector, being drivers of innovation in other industries where their skills/services are increasingly used to create new products/services._x000D_
Through interregional policy learning, RCIA aims to improve the Structural Funds policy instruments related to the SME competitiveness by focusing on supporting creative SMEs to set impulses for higher growth, by positioning  CCI as “the missing link” throughout sectors and disciplines in regard to innovation and competitiveness, by increasing the attractiveness and innovative image of a city/region/country (attract talent, create & retain jobs in the territory) and by positioning CCI as a pillar of the competitiveness policy._x000D_
By exchanging 20+ good practices between regional policy-oriented stakeholders groups and implementing the learnings through 8 regional action plans we aim to increase the number of collaborations between creative SMEs and companies from the wider economy (by 5 % on average by 2022) leading to a higher competitiveness of both types of SMEs and eventually to new products and solutions developed through cross-sectorial collaboration. _x000D_
RCIA intends to (1) strengthen the creative SMEs competitiveness by improving their skills (development/execution of business plans, interaction with investors, mentoring programmes) and to support their growth on global markets; (2) adapt various funding mechanisms to the particularities of CCI (including the possibility of capacity building measures for banks); (3) increase the awareness of the companies from the wider economy on the transformative power (added-value) of creative SMEs for their own competitiveness; (4) develop/adapt/improve the eco-system from classic spatial cross-collaboration into a hollistic approach.
Simulated strap hinge

A simulated strap hinge consists of a molded plastic sheet with down turned edges in the shape of a strap hinge and having a butt portion that mates with and covers one plate of a standard butt hinge. The turned down edges stand the sheet off from surface on which the simulated hinge rests. The strap portion has screw-receiving dimples that serve to hold the center of the strap away from the surface onto which the simulated strap hinge is being mounted.
Virtual reality-based prospective memory training program for people with acquired brain injury

Acquired brain injuries (ABI) may display cognitive impairments and lead to long-term disabilities including prospective memory (PM) failure. Prospective memory serves to remember to execute an intended action in the future. PM problems would be a challenge to an ABI patient's successful community reintegration. While retrospective memory (RM) has been extensively studied, treatment programs for prospective memory are rarely reported. The development of a treatment program for PM, which is considered timely, can be cost-effective and appropriate to the patient's environment. A 12-session virtual reality (VR)-based cognitive rehabilitation program was developed using everyday PM activities as training content. 37 subjects were recruited to participate in a pretest-posttest control experimental study to evaluate its treatment effectiveness. Results suggest that significantly better changes were seen in both VR-based and real-life PM outcome measures, related cognitive attributes such as frontal lobe functions and semantic fluency. VR-based training may be well accepted by ABI patients as encouraging improvement has been shown. Large-scale studies of a virtual reality-based prospective memory (VRPM) training program are indicated.
Liquid ring compressor - pioneering full api-681/610 compliance

Our company, Emmecom Srl, has tremendously changed since its creation: established in 2001 in Cologno Monzese (near
Milan, Italy) as a reseller of industrial goods and limited to Lombardy-region based customers, we have experience during
the last decade a remarkable growth to become an international company (presence in Italy and China) designing, producing
and selling pumps, compressors and vacuum systems. This consistent growth, supported by our excellence in key
technologies such as the liquid ring pumps, has transformed our business figures from €2.1million in 2009 to €5.2 million in
2014.
Listening to customer’s feedback from the Oil & Gas and petrochemical sector, we have been developing, since 2010, an
innovating portfolio of Liquid Ring Compressors & Pumps to address their needs: liquid ring based solutions are preferred
solutions for critical applications in chemical, petrochemical and refinery industries as they are highly reliable and easy to
maintain; nonetheless, their limited efficiency – and therefore high energy intake – due to inner turbulence still hinders their
growth against traditional solutions.
LIRICO, our innovative two-stage Liquid Ring Compressor/Pump, represents the next step: its increase in volumetric
efficiency (+5%) and in output pressure (+15%) allows a drastic reduction in energy consumption (-25%) and in overall
casing volume (-30%). Fully compliant to API681 and API610, LIRICO will allow us to provide a competitive, highly efficient,
with even reduced downtime solution, subsequentely increasing our sales by 15% within 5 years.
The Effect of Net Migration on the Population-Growth Relationship in Indonesia

This paper empirically examines the relationship between population growth and economic growth in Indonesia by considering lagged fertility and net migration as potential explanatory variables. In this way, we successfully differentiate the short-run and long-run effects of population growth on economic growth. In particular, our focus is on the effect of net migrants on the correlation between the two variables, since extensive migration policies have been taken nationwide in Indonesia. The results suggest that lagged fertility does not affect the two-variable analysis. In contrast, once net-migrants are incorporated into the regression model, we obtain the significance of both its coefficient and negative correlation between population growth and economic growth. The results not only support both Malthusian and Non-Malthusian schools of thought but also suggest that net migration is a key determinant of economic growth in Indonesia.
Largely enhanced thermal and mechanical properties of polymer nanocomposites via incorporating C<sub>60</sub>@graphene nanocarbon hybrid

Although considerable progress has been achieved to create advanced polymer nanocomposites using nanocarbons including fullerene (C60) and graphene, it remains a major challenge to effectively disperse them in a polymer matrix and to fully exert their extraordinary properties. Here we report a novel approach to fabricate the C60@graphene nanocarbon hybrid (C60: ~47.9 wt%, graphene: ~35.1%) via three-step reactions. The presence of C60 on a graphene sheet surface can effectively prevent the aggregation of the latter which in turn helps the dispersion of the former in a polymer matrix during melt-processing. C60@graphene is found to be uniformly dispersed in a polypropylene (PP) matrix. Compared with pristine C60 or graphene, C60@graphene further improves the thermal stability and mechanical properties of PP. The incorporation of 2.0 wt% C60@graphene (relative to PP) can remarkably increase the initial degradation temperature by around 59 ° C and simultaneously enhance the tensile strength and Young's modulus by 67% and 76%, respectively, all of which are higher than those of corresponding PP/C60 (graphene) nanocomposites. These significant performance improvements are mainly due to the free-radical-trapping effect of C60, and the thermal barrier and reinforcing effects of graphene nanosheets as well as the effective stress load transfer. This work provides a new methodology to design multifunctional nanohybrids for creating advanced materials.
EARLY STAGE ~ MENDALENTA — S.R.L. ASSISTANCE

THE BUSINESS INITIATIVE IS AIMED AT COMMERCIAL PENETRATION IN THE US MARKET, WHERE PRACTICAL OPPORTUNITIES FOR EXPORTS ARE BEING DEVELOPED. THERE IS THEREFORE A NEED TO REGISTER THE TRADE MARK IN THE UNITED STATES AND TO OBTAIN A QUALIFIED ASSISTANCE OF A LEGAL NATURE WITH REGARD TO THE CONTRACTUAL ASPECTS WITH BUYERS AND DISTRIBUTORS.
Identification of genetic loci that modulate cell proliferation in the adult rostral migratory stream using the expanded panel of BXD mice

Adult neurogenesis, which is the continual production of new neurons in the mature brain, demonstrates the strikingly plastic nature of the nervous system. Adult neural stem cells and their neural precursors, collectively referred to as neural progenitor cells (NPCs), are present in the subgranular zone (SGZ) of the dentate gyrus, the subventricular zone (SVZ), and rostral migratory stream (RMS). In order to harness the potential of NPCs to treat neurodegenerative diseases and brain injuries, it will be important to understand the molecules that regulate NPCs in the adult brain. The genetic basis underlying NPC proliferation is still not fully understood. From our previous quantitative trait locus (QTL) analysis, we had success in using a relatively small reference population of recombinant inbred strains of mice (AXBXA) to identify a genetic region that is significantly correlated with NPC proliferation in the RMS.In this study, we expanded our initial QTL mapping of RMS proliferation to a far richer genetic resource, the BXD RI mouse strains. A 3-fold difference in the number of proliferative, bromodeoxyuridine (BrdU)-labeled cells was quantified in the adult RMS of 61 BXD RI strains. RMS cell proliferation is highly dependent on the genetic background of the mice with an estimated heritability of 0.58. Genome-wide mapping revealed a significant QTL on chromosome (Chr) 6 and a suggestive QTL on Chr 11 regulating the number of NPCs in the RMS. Composite interval analysis further revealed secondary QTLs on Chr 14 and Chr 18. The loci regulating RMS cell proliferation did not overlap with the suggestive loci modulating cell proliferation in the SGZ. These mapped loci serve as starting points to identify genes important for this process. A subset of candidate genes in this region is associated with cell proliferation and neurogenesis. Interconnectivity of these candidate genes was demonstrated using pathway and transcriptional covariance analyses.Differences in RMS cell proliferation across the BXD RI strains identifies genetic loci that serve to provide insights into the interplay of underlying genes that may be important for regulating NPC proliferation in the adult mouse brain.
Preparation and characterization of floating gellan-chitosan polyelectrolyte complex beads

SUMMARY . The objective of the present investigation was to evaluate the potential of gellan gum- lowmolecular weight chitosan (GG-LMCH) polyelectrolyte complex (PEC) in the form of beads as prolongedrelease stomach specific floating drug delivery system. PEC beads were prepared in one step, without us-ing any chemical crosslinker, by dropwise addition of GG to a solution of LMCH in acetic acid. Buoyancyto the beads was attributed to the use of CaCO 3 . The % buoyancy, encapsulation efficiency and drug re-lease from PEC beads were compared with Ca ++ crosslinked GG floating beads prepared under same con-ditions using rifabutin as model drug. Our finding showed that the PEC beads remained buoyant for up to8 h and showed significantly better (p < 0.05) control over drug release compared to Ca ++ crosslinked GGbeads and, therefore, possess great potential for the stomach specific sustained delivery of drugs like ri-fabutin for the treatment of Helicobacter pylori infection. INTRODUCTION
Lignin-Based Hydrogels: Synthesis and Applications

Polymers obtained from biomass are an interesting alternative to petro-based polymers due to their low cost of production, biocompatibility, and biodegradability. This is the case of lignin, which is the second most abundant biopolymer in plants. As a consequence, the exploitation of lignin for the production of new materials with improved properties is currently considered as one of the main challenging issues, especially for the paper industry. Regarding its chemical structure, lignin is a crosslinked polymer that contains many functional hydrophilic and active groups, such as hydroxyls, carbonyls and methoxyls, which provides a great potential to be employed in the synthesis of biodegradable hydrogels, materials that are recognized for their interesting applicability in biomedicine, soil and water treatment, and agriculture, among others. This work describes the main methods for the preparation of lignin-based hydrogels reported in the last years, based on the chemical and/or physical interaction with polymers widely used in hydrogels formulations. Furthermore, herein are also reviewed the current applications of lignin hydrogels as stimuli-responsive materials, flexible supercapacitors, and wearable electronics for biomedical and water remediation applications.
OnePower

OnePower è un sistema di stima e misurazione effettiva di compiti strettamente correlati alle risorse umane, materiali e attrezzature, oltre a suggerire l'uso delle risorse necessarie sulla base di lavori precedentemente eseguiti con caratteristiche simili. Grazie a questo, è ideale, tra gli altri, per la gestione di un progetto altamente specializzato nel settore high-tech, o di un progetto di ingegneria nei servizi dell'industria 4.0, soprattutto nell'ambito della cosiddetta "Industrial 4.0". "Internet dei servizi". OnePower è un sistema di dispositivi mobili connessi (hardware, come tablet, telefoni, laptop) e una piattaforma web e un'applicazione mobile per una gestione completa dei progetti su posizioni esterne. Il software consente inoltre di calcolare e prevedere i costi dei progetti (ad esempio sulla base di diverse variabili adottate, come il numero e il tempo di lavoro dei dipendenti, la loro efficienza sui progetti passati, il numero e il tipo di attrezzature, la dimensione e il grado di avanzamento della posizione, assunta dalla scadenza del cliente, ecc.). Il software OnePower è anche un sistema di stima complesso, esteso con il versioning. Fare anche 1 fix nell'attività crea una nuova versione ridondante con la possibilità di tornare alle versioni precedenti. Finché l'attività non viene avviata in esecuzione reale, i dati stimati possono cambiare in esso. Dal momento in cui i dati reali entrano nel sistema, i compiti svolti saranno in grado di confrontarsi con le loro stime. OnePower ti consentirà inoltre di creare attività dipendenti dalla disponibilità di risorse designate, ad esempio apparecchiature specifiche. Il sistema sarà in grado di trovare il momento migliore per avviare le operazioni quando tutte le risorse necessarie (sia umane, materiali o hardware) saranno disponibili. L'industria moderna sta diventando una rete di varie risorse, che opera sotto forma di servizi strettamente interconnessi e interdipendenti, altamente specializzati, la cosiddetta "Industria". Internet dei servizi. OnePower risponde a questa esigenza.
TESTS RESULTS OF NEW DIAGNOSTIC METHOD FOR WOLA MARINE DIESEL ENGINES TYPE H

Results of studies that aim was to develop a diagnostic method for WOLA marine diesel engines type H are presented in this paper. These engines are high-speed type units used to drive small vessels or more often to drive ship generators. Polish Navy is operating significant number engines of this type. Motors of this type do not have indicator valves, which complicates the assessment of their technical condition in exploitation. These engines also, because of their age, are relatively poorly equipped in control and measurement devices. In the era of cost reduction in operation of marine equipment there is also tendency to reduce the cost of maintenance and repair of diesel engines. One way to avoid malfunction of the motor can be systematic monitoring of the technical condition of selected critical systems using reliable diagnostic methods. Polish Naval Academy (PNA) in Gdynia for years has been doing research on methods of diagnosing marine internal combustion engines. In recent years, a diagnostic method for high-speed diesel engines based on the analysis of envelope of vibration accelerations generated by the valve gear mechanism and fuel system of WOLA type H engines has been developed. Preliminary tests were carried out on a six-cylinder WOLA engine type 57H6Aa in the Marine Power Plant Operation Laboratory in PNA. Verification tests were conducted on twelve-cylinders WOLA engines of the same type on navy vessels. The developed method allows determine the angles of opening and closing the fuel injection valves and angles of closing intake and exhaust valves during engine operation. Using this method it could not be clearly determined opening angles of intake and exhaust valves.
Using the jellyfish clytia hemisphaerica to explore the first steps of meiosis by live-imaging.

Oocyte production is a key feature of animal development, comprising a series of carefully regulated events. This project will exploit a new experimental model, the hydrozoan Clytia hemisphaerica, to analyse by live imaging approaches the entire process of oogenesis in isolated female gonads from stem cell to oocyte for the first time. Analyses will focus on early events largely inaccessible in existing animal models, covering the transition from mitotic proliferation of germ cell precursors to meiotic entry. Key events include homologous chromosome pairing, synaptonemal complex formation, and meiotic double strand break formation. Clytia gonads are optically clear, simply organised and maintain oocyte production for several days ex-vivo. The three specific project objectives are 1) to define the spatiotemporal progression of early oogenesis through molecular cartography of the different precursor pools and cell morphology characterisation;  2) to establish conditions for long term imaging, including development of fluorescent markers;  3) to address the function of the key enzyme Spo11 by combining live imaging with CRISPR-mediated gene knockout, monitoring the movements of homologous chromosomes during pairing and identifying the sites of synaptonemal complex polymerisation. This multifaceted project represents a thematic shift for the applicant and involves a new collaboration between expert labs with complementary strengths in developmental, molecular, and cellular biology.  Two-way transfer of knowledge will enable the candidate to develop new skills (microscopy, live imaging, transgenics) whilst introducing her existing expertise with cnidarian biology and bioinformatics to the host labs. The project will improve understanding of the cellular and molecular dynamics of meiosis, establish a new experimental model for oogenesis studies, and provide the candidate with a solid foundation of complementary experience to fulfill her long term career objectives.
Intelligent pollination for sustainable increases in  crop yields and global food security

iPollinate will bring to market a unique IoT sensor that provides real time monitoring of the foraging rate of honeybee
colonies used for pollination services. This data will be correlated with hive strength and health data using Machine Learning (ML) techniques to provide a precision pollination service enabling farmers to optimise pollination efficiency and crop yields. Our aim is to
enable sustainable increases in crop yields of 30%. Our commercial objectives are to build a global business providing
pollination intelligence services generating annual sales of over €10million and create 17 high-level jobs in IoT and data
analytics within 5 years. Actions include:
• Advanced design and testing of optoelectronic sensor to collect bee foraging data
• Using ML techniques to generate new metrics for pollination effectiveness
• Creating a Spatial Decision Support System (SDSS) to support pollination management
• Conducting field trials to demonstrate performance
• Implementing structured dissemination and exploitation plan to accelerate market adoption.
We have an industrial consortium of 3 SMEs with complementary expertise:
• IRIDEON (Spain): IoT applications, electronics and software development, prototyping and manufacture
• CANETIS (Italy): Development of tools and systems for analysing bee health and behaviour
• BEEHERO (Israel): Precision pollination services for farmers
The project will accelerate development and adoption of a disruptive innovation and business model for pollination services
enabled by unique IoT sensor technology and advanced data analytics. It also addresses priority Societal Challenges,
specifically relating to Food Security and Sustainable Agriculture. iPollinate will enable increases in crop yield, quality and
nutritional value through more effective pollination, without the input of additional agricultural resources. It also supports the
competitiveness of the European Precision Agriculture sector in a rapidly growing global market.
Reversible temperature regulation of electrical and thermal conductivity using liquid–solid phase transitions

Reversible temperature tuning of electrical and thermal conductivities of materials is of interest for many applications, including seasonal regulation of building temperature, thermal storage and sensors. Here we introduce a general strategy to achieve large contrasts in electrical and thermal conductivities using first-order phase transitions in percolated composite materials. Internal stress generated during a phase transition modulates the electrical and thermal contact resistances, leading to large contrasts in the electrical and thermal conductivities at the phase transition temperature. With graphite/hexadecane suspensions, the electrical conductivity changes 2 orders of magnitude and the thermal conductivity varies up to 3.2 times near 18 °C. The generality of the approach is also demonstrated in other materials such as graphite/water and carbon nanotube/hexadecane suspensions.