SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Fluorination of aryl halide compounds under electrochemical-flow conditions

Fluorinated arenes are an invaluable class of organic compounds with important applications in pharmaceuticals, agrochemicals, and materials. Additionally, fluorine-18 has secured its place as the important radionuclide used in positron emission tomography (PET), largely due to attractive physical and nuclear characteristics. Through the years, use of transition-metal catalysis has revolutionised the access to these challenging compounds. However reliance on expensive catalysts and ligands, elevated temperatures, extended reaction times, and limited substrate scopes remain unsatisfied. This project untitled “Fluorination of Aryl Halide Compounds under Electrochemical-Flow Conditions” or “ElectroCatFlow” aims to develop a novel method to access aryl fluorides using a transition metal-catalysed fluorination reaction of aryl halides under electrochemical-flow conditions. ElectroCatFlow is highly interdisciplinary, involves mechanistic investigations, and applications of electrochemical-flow techniques to afford a mild, efficient and inexpensive method compared to current strategies. This project will generate broad interest from academia and industry, and will lead to high impact publications including scientific papers and potential patents. Finally, ElectroCatFLow will also maintain and improve European´s excellence in fluorination, catalysis and flow chemistry by creating a synergistic collaboration between the partner and institutions. Besides, this proposal aims to significantly influence on the EU healthcare system given the relevance of fluorine based drugs have in the Society.
Wing morphometrics for the identification of Nearctic and Palaearctic Piophilidae (Diptera) of forensic relevance

Abstract The Piophilidae (Diptera) are a family comprising about 80 species, several of them of high economic and forensic relevance. An unequivocal species identification is crucial for designing effective control measures or to provide reliable estimations of the minimum post mortem interval. However, the identification may sometimes not be possible, either because the diagnostic morphological characters are not easily observable or very fragile, or because of a poor DNA quality and/or unavailability of reference molecular signatures. In the recent years, the use of wing morphometric techniques has emerged as a powerful tool for the identification of different families of forensically important Diptera. The present study applies, for the first time, this technique to the identification of 11 Piophilidae species of forensic relevance in the Nearctic and Palaearctic regions, as well as to the discrimination of sexes, distinct geographical populations and, in the case of the dimorphic species Prochyliza nigrimana (Meigen), seasonal morphs. Wing shape variation was analysed using 14 landmarks located at wing vein junctions and a cross-variation analysis was used to test the reliability of identifications. The present results demonstrate that wing shape can be used to identify most species with relatively high success, whereas cross-validation analyses indicated that discrimination between sexes, populations or morphs was less effective, even if significant differences were observed in every comparison. We conclude that wing morphometrics can be a powerful identification tool that might be used in combination with other methods in order to achieve accurate and reliable species identifications—independently of the sex, geographic origin or colour variation of the samples—even with those piophilid species that have been object of frequent misidentifications.
Pharmaledger

The PharmaLedger project will create a blockchain-based framework for the efficient digitization of the healthcare industry. The goal of the project is to provide a widely trusted platform that will support the design and adoption of blockchain-enabled healthcare solutions while accelerating delivery of innovation that will benefit the entire ecosystem, from manufacturers to patients. 
PharmaLedger will serve as a single source of truth for the healthcare ecosystem and will be designed for efficient decentralized governance, wide adoption by the stakeholders of the ecosystem, compliance with extant and emerging standards and regulation, and end-to-end connectivity and interoperability. Sustainability of the platform will be ensured by leveraging existing, successful blockchain technologies; open source reference implementation; and a fully documented, actionable methodology for evolutionary digitization of the healthcare industry.
The project will address the key challenges of the healthcare ecosystem through prioritized delivery of applications and validation of business use cases, including but not be limited to end-to-end product tracking for combating counterfeit medicines and medical supplies; supply chain integrity; efficiency of recruitment and submission in clinical trials; and machine-learning health data marketplaces. The platform will support integrated use of medical devices across the use cases.
The PharmaLedger project brings together 28 partners from 10 EU Member States, including 11 large pharmaceutical companies; highly innovative technology SMEs specializing in blockchain development, security, privacy and business intelligence; universities and research institutes specializing in pharmacoeconomic analysis, research of patient requirements, big data analytics and electronic health records; leading clinical trials companies; supply chain partners; patient representatives; and leading healthcare service providers.
Jesús CAÑAS MURILLO, «Sobre géneros dramáticos en la España de la Ilustración», Cáceres, Servicio de Publicaciones de la Universidad de Extremadura, 2021, 336 págs.

Sin resumen.
A method of product innovation by integrating QFD and SIT

In today's highly competitive market environment,product must satisfy customer needs and be creative.Aiming at this problem,this paper researched customer needs and creativity strategy,and developed a method of product innovation by systematically integrating QFD(quality function deployment) and SIT(systematic inventive thinking).By mining the customer needs of target product and using the house of quality in QFD to analyse the customer needs,we can obtain the relationship between technology characteristics and rapidly get a creative solution in allusion to the negative correlation in technology characteristic pairs with the SIT theory.The design of track lifting and lining machine effectively demonstrated the proposed method and process.
Sexual commitment of malaria parasites: investigation into the epigenetic control of plasmodium gametocytogenesis

Malaria is one of the major threats for human health worldwide and caused by unicellular organisms of the Plasmodium genus. Within their mosquito vector and human host malaria parasites replicate almost exclusively asexually. In order to be transmitted to mosquitoes formerly asexual parasites instead develop into gametocytes, which are the only forms that can infect mosquitoes. Understanding the switch of asexual to sexual replication could offer new routes towards therapeutic intervention in sexual development and transmission. However, the molecular details of commitment to gametocytogenesis remain largely unknown, and only recently the AP2-G transcription factor was identified as master regulator of gametocytogenesis.
Gametocyte formation is a dead end for enduring infection and therefore sexual commitment has to be suitably regulated to ensure prolonged infection and transmission at the same time. The proposed research project aims to elucidate the epigenetic mechanisms which controls gametocytogenesis in malaria parasites infectious to rodents and humans, and intends to identify key molecular factors which regulate repression and activation of the ap2-g locus. The project will shed new light on the molecular mechanisms controlling sexual commitment and general gene expression in Plasmodium, with implications for therapeutic intervention in transmission and development of malaria parasites.
A community platform for building peace through information-driven dialogue

In any society that has emerged from civil conflict there is a risk of recurrence unless the underlying divisions are addressed. Peace education has been shown to promote reconciliation by developing empathy, critical thinking and moral responsibility. Various factors for building resistance to conflict have been identified as key: the provision of access to an ‘evidence base’ of balanced information; active engagement with information to familiarise users with concepts of evidence, authenticity and critical thinking; and inclusive spaces for dialogue between communities, in which reconciliation is forged through participation. We take these participatory approaches and map them into the digital sphere. While social media are widely used for participation, their potential for abuse makes them unsuitable for such dialogue. More focused platforms have emerged to support the public’s engagement with information, issues and each other, such as Ushahidi, which focuses on collecting and sharing data about unfolding situations, to involve communities in dealing with them. We will build on this software to develop a participatory platform that supports active engagement with bodies of information, allowing communities to share, organise, enhance, and reuse it, within a digital space for information-driven processes of reflection and informed, constructive dialogue. The platform will be piloted and evaluated in two countries recovering from civil conflict, Rwanda and Kenya, and the reach of the trials will be extended into areas of poor connectivity via BRCK hotspot devices. We will follow a living labs methodology based on social innovation and co-creation, involving close engagement with citizens and communities in participatory design and evaluation events throughout the project. Evaluation will also use quantitative methods from data science to assess the relevance, innovation and impact of the platform, and analyse the behavioural responses of the platform’s users.
Research and Implementation of Android Embedded Code Generation Method based on Rule Model

Based on the in-depth study of the Android embedded application program frame and project file, this paper proposes a code generation method based on model rule, the method discusses the problem of the layout of the Android embedded application interface, defines the constraint rules between the components and component object model and event model. And code generation rules on the Android embedded applications are defined and used throughout the code generation process, it solves the visualization development of Android embedded application program and the code automatic generation. Finally, a simple examples is given to verify the process of automatic generation of Android embedded code.
The naming of waterfalls

As features of the landscape, waterfalls have been studied extensively by geographers, but the names given to these landforms have received relatively little scholarly attention. This paper examines the naming of waterfalls and addresses the question of classifying these hydronyms. The subject is considered in a global historical context, focusing on place names in the anglophone world. Until the
18th and 19th centuries, relatively few waterfalls were named.With the beginning of the Industrial Revolution, water power rose in economic importance, and at the
same time, there was a growing scientific and aesthetic engagement with the landscape. These developments are suggested as reasons for the increased interest in waterfalls which were then being recorded in topographical literature and on maps, individual names being given to increasing numbers of falls. European exploration added to the knowledge of the world’s waterfalls, many of which were
given names by their ‘discoverers’. This naming process accelerated with the growth of domestic and overseas tourism which exploited scenic resources such as waterfalls. Until now, research on the names of waterfalls has been fragmentary, and the classification of these hydronyms has been neglected. This paper demonstrates that waterfall names can be classified in accordance with a recognised toponymic typology. Using examples drawn from waterfall guidebooks, databases, maps, and other sources, the following discussion supports George Stewart’s claim that his toponymic classification is valid for place names of all kinds.
Suitability of cationic flocculants for RO membranes performance improvement

AbstractAs it has already been published and demonstrated, one of the main causes of membranes failures is related to a poor plant pretreatment. Data from more than 600 autopsies demonstrated that both biofilm and colloidal matter are the most common components on reverse osmosis (RO) membrane fouling; therefore, main lack on membrane pretreatment is related to disinfection and small size of the particles. The main deficiency in membrane pretreatment is related to the dosing of chemicals such as biocides, and flocculants, which are the only tool for membrane pretreatment improvement. Although on previous papers, cationic flocculants effectiveness was already proved, there is still a reluctance to use these kinds of products on RO pretreatments. Genesys Membrane Products laboratories has broad experience on the optimization of cationic flocculants use which proves the effectiveness of these products for RO pretreatment with no risk for the membranes. This paper will demonstrate the compatibility of some ca...
Unveiling the nature of primordial stars

Understanding the nature of the first stars is a fundamental problem in Cosmology and Galaxy Formation. Numerical simulations suggest that primordial stars were more massive that present-day stars, and so they rapidly disappeared. Heavy elements newly produced by these stars enriched the surrounding gas, out of which long-lived, low-mass stars formed. These ""second-generation"" stars survive until present-day, preserving in their photospheres the chemical imprint of the first stars. In the Local Group, high-resolution spectroscopic studies, offer us the unique opportunity to reveal these fossil signatures. But second-generation stars are extremely rare, making their detection challenging.
In the current era of wide and deep spectroscopic surveys, such as Gaia-ESO, SEGUE, and APOGEE, we will have the chance to catch many of these stars. This project aims at characterizing the first stars by hunting their living fossils, in the Local Group. By further developing my cosmological chemical-evolution models, and exploiting the huge, unique, and already available data-sets for ancient Local group stars, I will simultaneously study the chemical evolution of the Milky Way and its dwarf satellites to: 1) define the host environment (halo regions, dwarf galaxies) and properties (chemistry, kinematics) of second-generation stars; 2) select candidates for high-resolution spectroscopic follow-up; 3) constrain strongly the primordial initial mass function. The latest results from the Turn-Off Primordial Stars survey, at the host institution, will be exploited.
The proposed theoretical-observational strategy, never used before, will maximize the probability to observe second-generation stars, making use of the huge amount of new and forthcoming data to characterize primordial stars. The Paris Observatory is the ideal place to carry out this research, as it hosts major experts in spectroscopic studies of metal-poor stars, Galaxy Formation, and members of the Gaia-ESO survey.
Novel assembly strategies in liquid dispersion via interface control – towards cellular metamaterials

The astounding properties of metamaterials result from a characteristic spatial organisation of purpose-designed structural units. Research on metamaterials has greatly advanced thanks to their reliable top-down fabrication (lithography, 3D-printing,...). For large-scale production, however, smart bottom-up design strategies are required, for example through self-assembly of the structural units. While this has been developed for thermally-driven systems with sub-micrometric units, no systematic design strategies are established for mechanically-driven systems with larger units.  
The METAFOAM project will fill this gap by addressing the scientific challenges towards controlled bottom-up structuring of bubble/drop packings in liquid foam/emulsion templates. While “ordinary” foams/emulsions have been investigated in depth, the control over their structure is very limited. The METAFOAM project will provide access to very different structures by explicitly tuning the bubble/drop interactions through the presence of a polymeric skin with controlled repulsive, adhesive and frictional properties. 
We will develop methods to reliably create/characterise these skins and establish a state diagram which systematically relates the resulting bubble/drop interactions and the foam/emulsion structure. Solidification of the most promising structures will provide new types of cellular polymers with currently inaccessible mechanical or acoustic meta-properties: high stiffness-to-weight-ratios, negative Poisson ratios, and acoustic band-gap properties.
The impact of this interdisciplinary project at the interface between physics and chemistry is therefore two-fold. In the liquid state it will advance our understanding of the a-thermal packing of very soft objects with tuneable interactions, linking the physics of granular media and biological tissues. In the solid state it will provide new cellular systems for the fabrication and investigation of mechanical and acoustic metamaterials.
MIMO-OFDM pilot symbol design for sparse channel estimation

Channel equalization is a crucial part of the OFDM communications protocols, which in turn requires channel estimation. In this paper, we consider the problem of orthogonal pilot design in MIMO-OFDM systems for sparse channel estimation. The pilot design in MIMO scenarios compared to the conventional SISO case has the additional constraint that the capability of recovery should be uniformly provided for all single channels. For instance, perfect estimation of a channel at the cost of another one is not permitted. This requirement is even more significant in the emerging Massive-MIMO systems. Our pilot design is based on the compressed sensing technique of minimizing the coherence measure of the Fourier submatrix associated with the pilot subcarriers. However, we desire to minimize the coherence value of such matrices simultaneously for all channels. Here, we optimize over both the pilot locations and values. As finding the global minimizer is a combinatorial problem, we resort to a greedy method. Although there is no guarantee for the optimality of the achieved patterns, our simulation results confirm their suitability in practice.
APPARATUS FOR A WEB FORMING MACHINE

The invention relates to an apparatus for a web forming machine. The apparatus is doctor equipment adapted at both of its ends to a web forming machine with support means (10). The doctor equipment also includes a composite blade holder (11) to which the support means (10) are connected. The doctor equipment includes an actuator (12) which is adapted to load and open the doctor equipment. In addition, the actuator (12) includes at least one pneumatic muscle (13) which is adapted in connection with one of the two ends of the doctor equipment.
Novel evolutionary model for the early stages of stars with intelligent systems

NEMESIS has the ambition to reshape our understanding on the formation of stars by employing artificial intelligence methods to interpret the largest, panchromatic data collection of young stellar objects. Recent evidence suggests that planets form synchronously rather than sequentially to their host stars, indicating a rapid early evolution of star-planet systems. To ascertain these timescales, it is necessary to first determine the characteristic transitions that describe each phase of star formation. The definition of classes for young stellar objects was made possible more than 30 years ago, due to the first space-based infrared sky surveys.  Whilst successful in determining global properties, current classification is prone to large uncertainties, and therefore, timescales, which are based on population statistics among different classes in a steady-state evolution, remain dubious.   

NEMESIS aims to readjust the current classification scheme and its characteristic timescales so that it is concurrent with the most recent observational and theoretical constraints. To meet these goals NEMESIS will compile the largest, panchromatic dataset  comprising of all young stellar objects in nearby star-forming regions, harnessing critical information that resides in data from space missions.  It will reprocess and analyze this unique dataset with supervised and unsupervised machine learning algorithms, deep learning neural networks for object detection, clustering and regression analysis of images in order to advance the analysis and interpretation beyond the current state-of-the-art.  Ultimately, NEMESIS brings big data techniques and hybrid machine learning methods to systematically analyze and interpret large data volumes in order to answer some of the most persisting questions, paving the path toward data-intensive science applications in modern astrophysics.
Coxofemoral joint kinematics using video fluoroscopic images of treadmill-walking cats: development of a technique to assess osteoarthritis-associated disability

The objectives of this pilot study were to develop a video fluoroscopy kinematics method for the assessment of the coxofemoral joint in cats with and without osteoarthritis (OA)-associated disability. Two non-OA cats and four cats affected by coxofemoral OA were evaluated by video fluoroscopy. Video fluoroscopic images of the coxofemoral joints were captured at 120 frames/s using a customized C-arm X-ray system while cats walked freely on a treadmill at 0.4 m/s. The angle patterns over time of the coxofemoral joints were extracted using a graphic user interface following four steps: (i) correction for image distortion; (ii) image denoising and contrast enhancement; (iii) frame-to-frame anatomical marker identification; and (iv) statistical gait analysis. Reliability analysis was performed. The cats with OA presented greater intra-subject stride and gait cycle variability. Three cats with OA presented a left–right asymmetry in the range of movement of the coxofemoral joint angle in the sagittal plane (two with no overlap of the 95% confidence interval, and one with only a slight overlap) consistent with their painful OA joint, and a longer gait cycle duration. Reliability analysis revealed an absolute variation in the coxofemoral joint angle of 2º–6º, indicating that the two-dimensional video fluoroscopy technique provided reliable data. Improvement of this method is recommended: variability would likely be reduced if a larger field of view could be recorded, allowing the identification and tracking of each femoral axis, rather than the trochanter landmarks. The range of movement of the coxofemoral joint has the potential to be an objective marker of OA-associated disability.