SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Multifunctional graphene-based nanocomposites with robust electromagnetic and thermal properties for 3d-printing application

Graphene 3D project proposes highly innovative pathway for the development of optimized, multifunctional graphene-based polymer composites and structures with desired properties for specific applications, based on combination of three main approaches: (i)  controlled processing and material’s characterization; (ii) robust nanocomposite design; and (iii) modeling/optimization of nanocomposite cellular structures with predefined properties. Graphene 3D methodology will result in two major outcomes: Multifunctional nanocomposite material for 3D printing application, as well as Optimized and experimentally validated, 3D printed nanocomposite cellular structures with tunable electromagnetic, thermal and mechanical properties. To reach the goal, the proposal will pursue the following main objectives: (1) to develop an effective processing technique for graphene-based polymer nanocomposite; (2) to correlate processing variables with final micro and nanostructure features; (3) to obtain  highly improved nanocomposite properties (electrical, electromagnetic, mechanical, thermal); (4) to propose robust design tool for optimizing process-structure-property-performance parameters, resulting in optimized nanocomposite formulation for 3D printing application; (5) to design nanocomposite-based cellular structures with optimum configuration (structure, geometry) and tunable multifunctional characteristics in view of predefined performances; (6) to prove the design concept by fabrication and experimental validation of both nanocomposite material and 3D printed cellular structures that achieve unique properties. Project research & innovation ideas will bring up the research results from TRL 1-2 to TRL 3-4, with potential for application specified towards high power electronics. Graphene 3D will create a Joint Laboratory on graphene-polymer research for knowledge share in a multidisciplinary international/inter-sectoral consortium having long-term implication.
Heterooligomerization of Membrane Peptides Involved in Tuberculosis: MgtC and MgtR

Recent results have converged to highlight the role of hydrophobic peptides that form a novel class of active molecules in Escherichia coli and Salmonella enterica serovar Typhimurium. These peptides are apparently able to interact with membrane proteins leading to their inactivation through an unfolding process. MgtR, a highly hydrophobic 30 amino acid peptide, expressed in Salmonella typhimurium is one of these inactivating molecules. It has been shown that within the macrophage, the interaction between MgtR and the membrane protein MgtC leads to a decrease of Salmonella replication rate. This phenomenon can be explained by the importance of MgtC for the survival of the bacterium at low magnesium concentrations.To our knowledge, an interaction between two different peptides (heterooligomer) has never been studied in a membrane environment by NMR. Relying on the sequence homology between Salmonella typhimurium MgtC and Mycobacterium tuberculosis MgtC, the interaction between MgtR from Salmonella typhimurium and the transmembrane helix #4 of Mycobacterium tuberculosis MgtC is studied.Beyond the challenge consisting of solving a membrane protein structure, Solid state NMR and EPR are two powerful techniques to decipher protein dynamics and structure within the membrane hydrophobic core. Understanding the molecular mechanism of these peptide-protein interactions would offer great opportunities in pharmacology and drug design.Structural studies using solid state NMR spectroscopy of liposomal preparations for magic angle spinning experiments and oriented bilayer samples for additional structural restraints have been performed. EPR distance measurements were also performed on theses peptides in the membrane environment. The use of the NMR and EPR restrains combined, allowed us to propose a hypothetical interaction between these peptides in the membrane core.
Efficacy of pimecrolimus 1 % cream in the long term management of atopic hand dermatitis. A double-blind RCT

Efficacy and steroid sparing effects of pimecrolimus 1% cream in atopic dermatitis have been shown recently, but there is no data on efficacy in long term management of atopic hand dermatitis. This study aims to investigate the efficacy of pimecrolimus 1% cream as maintenance therapy in patients suffering from atopic hand dermatitis.A double-blind vehicle controlled study in 40 adult patients with atopic hand dermatitis (IGA ≤ 3) comparing the efficacy of twice daily application of pimecrolimus 1% cream given as maintenance treatment versus vehicle over a 8 week period after clinical response (IGA ≤ 2) to a 1-3 week pre-treatment with mometasone fuorate 0.1% was performed. Primary endpoint was the time to relapse (IGA ≥ 3).Thirty-six out of 40 patients were randomised to receive either pimecrolimus 1% (P) or vehicle cream (V). The number of patients with stable remission in patients randomised to pimecrolimus (53.8%) and vehicle (43.8%) did not achieve statistical significance between the groups (p = 0.41). Subgroup analysis of patients with initially moderate dermatitis (IGA = 3, n = 20) showed a trend towards a better outcome for the pimecrolimus group (stable remission P = 81.8% versus V = 55.6%) (p = 0.244).Pimecrolimus 1% cream twice daily was not superior to vehicle in the sequential maintenance therapy of atopic hand dermatitis, but efficacy in moderate forms should be investigated in further studies.
Hippocampal Surface Deformation Accuracy in T1-Weighted Volumetric MRI Sequences in Subjects with Epilepsy

BACKGROUND AND PURPOSE

To demonstrate the accuracy across different acquisition and analysis methods, we evaluated the variability in hippocampal volumetric and surface displacement measurements resulting from two different MRI (magnetic resonance imaging) acquisition protocols.



METHODS

Nine epilepsy patients underwent two independent T1-weighted magnetization prepared spoiled gradient sequences during a single 3T MRI session. Using high-dimension mapping-large deformation (HDM-LD) segmentation, we calculated volumetric estimates and generated a vector-based 3-dimensional surface model of each subject's hippocampi, and evaluated volume and surface changes, the latter using a cluster-based noise estimation model.



RESULTS

Mean hippocampal volumes and standard deviations for the left hippocampi were 2,750 (826) mm3 and 2,782 (859) mm3 (P = .13), and for the right hippocampi were 2,558 (750) mm3 and 2,547 (692) mm3 (P = .76), respectively for the MPR1 and MPR2 sequences. Average Dice coefficient comparing overlap for segmentations was 86%. There was no significant effect of MRI sequence on volume estimates and no significant hippocampal surface change between sequences.



CONCLUSION

Statistical comparison of hippocampal volumes and statistically thresholded HDM-LD surfaces in TLE patients showed no differences between the segmentations obtained in the two MRI acquisition sequences. This validates the robustness across MRI sequences of the HDM-LD technique for estimating volume and surface changes in subjects with epilepsy.
Hydrophobic nano coating for cardboard food packaging with a 40% increased resistance to water and 3x times longer durability

HydroNanoCoating will reduce up to 30 times the water absorption compared to common untreated cardboard and by 40% the water absorption compared to current paper protecting alternatives (paraffin). HydroNanoCoating will enlarge up to 3x times the lifespan of paper, cardboard and corrugated cardboard by drastically avoiding water damages to the contained products and its consequent loss that can reach 9M€.
Almost 5% of the EU losses of products packaged with cardboard are caused by contact with water. Moisture, environmental humidity, rains and water spills dramatically reduce cardboard mechanical properties. Corrugated cardboard packs and protects more than 34% of European goods, but if cardboard is wet, the box collapses and the content loses its value. In Spain alone, which is the largest fruit and vegetables exporter in EU with 11M tons, a 5% loss is worth €1.8 billion.
HydroNanoCoating is a super hydrophobic coating that can be applied on both sides (external and internal surface) of paper, cardboard or corrugated cardboard, improving its water resistance x30 times related to kraft cardboard and 40% to paraffin coatings. This confers improved mechanical properties compared to other solutions: ECT (ability of a particular board construction to resist crushing) lost <8% in 30 days, and has 45 days of durability at 100%humidity.
HydroNanoCoating will release the moisture and humidity consequences, reducing losses by up to 90% on the supply chain. It will allow best printing resolution using common inks and reduce production costs related with adhesives, as it improves adhesion of flaps and other gluing areas. It will be ideal for any kind of cardboard or corrugated packaging, as it complies with EU legislation and food contact requirements to keep content healthy and safe.
Epidemiología de casos de leprosía notificados en la ciudad de Guaraí, Tocantins, de 2008 a 2018

Este estudio tuvo como objetivo analizar los datos epidemiológicos de la lepra disponibles en los dominios públicos entre los años 2008 a 2018 en el municipio de Guaraí, Tocantins. Este es un estudio transversal, descriptivo, retrospectivo y cuantitativo basado en datos secundarios. En el período de 2008 a 2018, se registraron 328 casos de lepra con un coeficiente de detección hiperdemémica general en los años 2008, 2009 y 2012, muy alto en 2010 y 2013, alto en 2011, 2014, 2015, 2016 y 2017; con énfasis en los grupos de edad de 35-49 años con 96 (29%) casos, 20-30 y 50-64 con 78 (24%). La tasa de detección promedio de la enfermedad en niños menores de 15 años, durante el período de estudio fue de 6.7 / 100,000 hab., Con 50.3% de los casos clasificados como paucibacilares y 49.7% multibacilares. Dado lo anterior, se refuerza la necesidad de medidas para revelar la realidad epidemiológica de la lepra, lo que plantea aspectos que pueden contribuir a las acciones de prevención, diagnóstico y tratamiento, a fin de reducir la morbilidad y las discapacidades físicas.
New method of magnetic field integration and its smart grid and industrial applications

Due to massive growth in the use of electric equipment and worldwide increase of the electrical distribution/consumption, the interest in sensors for electrical current measurement, particularly in high voltage levels, has increased significantly over the last decade. Intensive research is carried out in this field. The result is the method based on magneto-optical effect requiring special optical fibers and optical instrumentation. Due to special technologies the sensor is too expensive for most of the industrial applications.
Applied Precision is a Slovak innovative company established in 1992 and belongs to the world top three companies in test and calibration systems for electricity meters. The company has developed and patented new breakthrough measuring method based on magnetic field integration with magnetic fiber. The method is not only comparable with the magneto-optical method in high currents applications but significantly more sensitive for low current applications at fractional price level. 
The most important user benefits are: full integration in smart distributed systems with independent communication, highest accuracy up to 0.1%, simple installation, low operational costs, high interoperability and mechanical flexibility, broad field of applications and very affordable price (less than 20% of  optical solutions).
Dramatically lower price of measurement devices, easy and flexible integration in existing or newly designed network measuring and control systems have a unique perspective to bring disruptively new way of their implementation with enormous benefit for monitor the efficiency of energy networks, devices and single participants with positive impact on investments and operational costs and environmental impact.
The SmartSense system is targeted at distribution network providers, power producers, mid to high power demanding subjects (like electrowinning processes, traction lines etc.) and this way it is supporting global smart grid solutions.
Flow-Based Identification of Failures Caused by IPv6 Transition Mechanisms

The IETF has developed several solutions that promote IPv4 and IPv6 co-existence, but they need to be thoroughly tested on a large scale, before they can actually be considered as viable solutions. In the following study we present an experimental evaluation of the two popular transitioning technologies: NAT64 and Dual-Stack Lite. Our first goal is to identify how well current applications, protocols and online services interoperate with these technologies and to detect their potential failures. Our second goal is to use a stream-oriented flow query language NFQL, to formulate queries that can find those failures by scanning through traces of NetFlow records. We identified several applications that fail under NAT64, and we analyze how to detect these failures in an automated fashion.
Decoding impairments of gait and balance from local field potentials in patients with parkinson's disease.

Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, affecting more than ten million people worldwide. Over the past decades, dopaminergic and surgical therapies have been optimized to treat upper-limb motor symptoms such as tremor, bradykinesia or rigidity with remarkable outcomes. However, these interventions are poorly effective to alleviate gait and balance deficits, which remain amongst of the most incapacitating symptoms affecting everyday mobility and quality of life in subjects with PD. Alternative stimulation strategies and novel surgical targets showed promises to improve gait. However, the lack of mechanistic insights and reliable readouts capturing the relationships between neural activity and leg motor dysfunction have prevented the development of effective, evidence-based therapies. Project gaitDCODE seeks to address these limitations. The objective of gaitDCODE is (i) to uncover the relationships between detailed patterns of gait deficits and the corresponding neural activity recorded from cortical networks and subthalamus nucleus in subjects with PD, and (ii) to leverage this knowledge to develop decoding algorithms that automatically predict these impairments in real-time. To enable these discoveries, gaitDCODE will build on two key innovations. First, it will exploit the conceptual and methodological expertise that the candidate gained through his work on gait rehabilitation after spinal cord injury, including high-resolution statistical approaches to capture the multi-faceted and time-varying characteristics of gait. Second, it will leverage the latest developments in implantable technology to sense and decode brain activity remotely and in real-time over extensive periods of time. In the long term, gaitDCODE will open up important avenues for the design of patient-specific, closed-loop neuromodulation therapies that address gait and balance deficits in PD using evidence-based models of locomotor deficits.
Mechanomyographic mean power frequency during an isometric trapezoid muscle action at multiple contraction intensities

This study examined the mechanomyographic mean power frequency (MMGMPF)-force relationships for five (age = 19.20 ± 0.45 years) aerobically-trained (AT), five (age = 25 ± 4.53 years) resistance-trained (RT), and five (age = 21.20 ± 2.17 years) sedentary (SED) individuals. Participants performed isometric trapezoidal muscle actions at 50, 60, and 70% maximal voluntary contraction (MVC) of the leg extensors that included linearly increasing, steady force, and linearly decreasing segments. MMG was recorded from the vastus lateralis. Linear regressions were fit to the natural-log transformed MMGMPF versus natural log-transformed force relationships (linearly increasing and decreasing segments) with the b (slope) and a (y-intercept) terms used for comparisons. MMGMPF was averaged for the entire steady force segment. The b and a terms were not different among training statuses (P > 0.05) or linearly increasing and decreasing segments (P > 0.05). There were muscle action-related differences in the b terms as a function of training status from the 70% MVC. The SED had greater b terms during the linearly increasing than decreasing muscle action (P = 0.010), and the converse was true for the AT (P = 0.013), whereas the RT displayed no muscle action-related differences (P > 0.05). The unique muscle action-related differences in the b terms as a function of training status may be the result of unique adaptations to motor unit activation and deactivation strategies.
從《敕封粵東義民廟祀典簿》看清代竹塹地區的米價變化（1835-1893）

Topic: An Investigation of the Rice Price Changes in the Zhu Qian Region in Qing Dynasty from the Yue Don I-min Temple Investiture Offering Ceremony Register This study utilized historical documents as its source materials (account books) and adopted a scientific statistical method to research the local grain prices (rice). This research extracted valid grain price data from the Yue Don I-min Temple Investiture Offering Ceremony Register (the account book of I-min Temple) to set up a valid rice price sequence. Meanwhile, all the data was broken down by time series in order to observe the long-time trends and identify the rice price changes (price changes) in the Zhu Qian Region in Qing Dynasty. The rice / grain prices listed in the Yue Don I-min Temple Investiture Offering Ceremony Register are a part of the data recorded in accordance with the trading results of the rice market in the Zhu Qian Region in Qing Dynasty. Therefore, the rice price changes listed in the account book clearly show the rice price changes in the Zhu Qian Region in Qing Dynasty. After consulting the data in the account book, the study used time series to analyze the data. It can be seen from the long-term trends that the price of rice in this region went up yearly. In fact, at the beginning of the first period of time (1841-1856), in 1841, the lowest price was 69 cents; however, by 1856, the lowest price raised to 85 cents. Furthermore, during the second period of time (1857 – 1884), the rice price had risen rapidly since 1856 and reached the second highest price in 1864 (from 85 cents to 194 cents). However, ever since 1864, the price had gone down sharply from 194 cents to 89 cents in just 4 years. The biggest decrease was in 1866-1867 (from 190 cents to 120 cents). However, the price went up again from 1868 (it reached 199 cents in 1876 from 140, 128 cents). However, the price change in the third period (1885-1893) became more stable after 1885. Aside from that, after comparing with the rice sequences from different sources and accounting for extreme prices and disasters, the rises and falls are fairly similar with the rice sequence set up in accordance with the Yue Don I-min Temple Investiture Offering Ceremony Register. Therefore, it can be concluded that the rice sequence should have a fairly high reliability because of the quality of the available data.
BIOPREPARATION OF TEXTILES AT HIGH TEMPERATURES

The present invention provides methods for high-temperature biopreparation of cellulosic fibers by contacting the fibers with pectin-degrading enzymes, preferably thermostable, alkaline, divalent cation-independent pectate lyases, under conditions compatible with scouring and bleaching technologies.
Turismo 4.0. Storia, digitalizzazione, territorio

Reseña del libro: Gregorini, Giovanni y Semeraro, Riccardo (a cura di): Turismo 4.0. Storia, digitalizzazione, territorio.- Vita e Pensiero, Milán 2021, 249 pp. ISBN: 978-88-343-4462-0.
Glass recovering revolution: high performance optical sorter for glass collection from waste

The amount of Municipal Solid Waste (MSW) in the EU28 reached 245 million tons in 2012. Nowadays, Europe directives for
waste management are more restrictive each year (e.g Landfill Directive 1999/31/EC), but unfortunately, landfill disposal still
represents 34% of total MSW generated. On the other hand, citizen awareness as well as the high fees operators pay for
landfill disposal, have helped to greatly increase the percentage for recycling from 18% in 1995, to 42% in 2012.

However, 40% of all the glass waste ends up in mixed MSW plants (which typically contain 7% of glass). Instead of being
disposed of in selective-waste collection, it ends up in landfills or is composted/incinerated with the remnant waste.

We have developed SEEGLASS, a high performance optical sorter based on computer vision and a pneumatic rejection
system. Our aim is to solve this non-environmentally friendly problem, while also offering our end-users additional revenues
with this recovered material, which is not being exploited now (49€/tn glass). In addition, extracting this glass, will allow the
treatment plants to significantly reduce costs from waste disposal fees (50€/Tonne EU average and rising). Payback for
customers is estimated in only 19 months.

With this project we will (i) construct pre-conditioning process line, (ii) optimise our current SEEGLASS computer vision
system as well as its mechanical and pneumatic design, to reach 80% glass recovery, with 99% purity, (iii) integrate both,
the process line and the glass sorter solution into a demonstrator system, and (iv) validate its feasibility in-house with real
MSW coming from different countries, as well as carry-out an 24/7 end-user validation.

We, PICVISA, will be the first company to recover the glass fraction in refined MSW worldwide (the niche market exists
worldwide) selling Turn-key installations or only SEEGLASS units, contributing to a disruptive change in the sector.
The homeostatic regulation and biological function of sleep

Sleep is vital and universal, but its biological function remains unknown. This project will seek to understand why we need to sleep by studying how the brain responds to sleep loss. My previous work in Drosophila showed that rising sleep pressure activates two dozen sleep-inducing neurons in the dorsal fan-shaped body (dFB) of the central complex. Sleep need is encoded in the electrical excitability of these neurons, which fluctuates because two potassium conductances, voltage-gated Shaker and the leak channel Sandman, are modulated antagonistically. As a consequence, dFB neurons are electrically silent during waking and persistently active during sleep. The key open question addressed in this project is the nature of the molecular changes that drive dFB neurons into the electrically active state. My preliminary data point to two dFB-intrinsic transducers of sleep pressure. First, the Shaker β subunit Hyperkinetic responds via a bound nicotinamide cofactor to oxidative by-products of mitochondrial electron transport, revealing a potential connection between energy metabolism, oxidative stress, and sleep, three processes implicated independently in lifespan, aging, and disease. To strengthen this connection, we will monitor sleep and the biophysics of dFB neurons after perturbing mitochondrial respiration or cellular redox chemistry and vice versa. Second, Rho GTPases relay currently unknown signals to the machinery responsible for the regulated endocytosis of Sandman, whose extraction from the plasma membrane is a prerequisite for switching the sleep-promoting activity of dFB neurons on. To identify these signals, we will investigate cell-autonomous, synaptic, and non-synaptic mechanisms of GTPase control. Because clear parallels exist between dFB neurons and sleep-active neurons in the mammalian hypothalamus, mechanistic insights that can currently be gained only in Drosophila are expected to have broad validity for understanding sleep and its disruptions.