SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Inference in microeconometric models

Unobserved differences between economic agents are an important driver behind the differences in their economic outcomes such as schooling decisions, wages, and employment durations. Allowing for such unobserved heterogeneity in economic modeling equips the specification with an additional dimension of realism but presents major challenges for econometric practice.  Hence, reconciling heterogeneity in the data with econometric models is an issue of utmost importance.

The aim of this project is to develop inference methods for models with unobserved heterogeneity by exploiting the identifying power of longitudinal (panel) data. The project consists of three blocks. Together, they span the largest part of modern applications of panel data.

The first block deals with inference on nonlinear models and enhances the performance of statistical hypothesis tests. So far, the literature has focused on point estimation. However, it is statistical inference that accounts for uncertainty in the data and forms the basis for testing economic restrictions. The second block makes progress on the estimation of models for network data. The importance of social and economic connections is well established but few formal results are available. We exploit the fact that network data can be seen as a type of panel data to derive such results. The third block uses panel data to non-parametrically estimate dynamic discrete-choice models with unobserved type heterogeneity and/or latent state variables. Such results are inexistent even though dynamic discrete-choice models are a workhorse tool in labor economics and industrial organization. 

The performance of the tools will be assessed theoretically and via simulation, and they will be applied to various empirical problems. Two examples of applications that we will study are the extensive margin of labor force participation and the determinants of the import and export behavior of firms and countries.
A decision support system of vehicle routing and refueling for motor carriers with time-sensitive demands

Given the recent trend of raising fuel cost and the increased time-sensitiveness of shippers, an extensive pressure is placed on the motor-carrier industry to meet the time-constrained customer demands at minimum fuel cost. We propose a decision support system that allows motor carriers to route each vehicle such that the vehicle not only visits all the customers in time (without violating time windows), but also utilizes the ''cheapest'' gas stations (cheapest truck stops in the region) as refueling points during the tour. While this approach does not necessarily minimize a vehicle's fuel consumption, as it often suggests using non-shortest routes with cheap gas stations (truck stops), it allows the vehicle to reduce the unit cost of buying fuel. Computational testing shows that the proposed approach may attain up to 4.29% savings in fuel cost for motor carriers.
Photo-Irradiation and adsorption based novel innovations for water-treatment

About 2.1 Billion people live without access to safe water sources. Contaminants of Emerging Concerns (CECs) such as pharmaceuticals, personal care products, pesticides and nanoparticles are increasingly being detected in wastewater and in drinking water around the world, in addition to geogenic pollutants, pathogens, antibiotic resistant bacteria and antibiotic resistance genes. Water treatment systems that remove CECs and common contaminants from wastewater and drinking water are therefore urgently needed. 

PANI WATER will develop, deploy and validate in the field six prototypes for the removal of contaminants, including CECs, from wastewater and drinking water. The prototypes for wastewater treatment will consist of (i) a 20,000 L/day multifunctional oxidation reactor, (ii) a 10 L/day photoelectrochemical system, and (iii) a 100 L/day solar photolytic plant. The prototypes for drinking water treatment will consist of (iv) a 300 L/hour filtration, adsorption, and UVC LED system (v) a 20 L transparent jerrycan for solar water disinfection, and (vi) a 2,000 L/day electrocoagulation, oxidation, and disinfection t system. These prototypes will be deployed in peri-urban and rural areas in India. The consortium will work closely with the communities at the fieldsites, and carry out water quality analyses, health and social impact assessments, and advocate for safe reuse of treated wastewater for irrigation, and preservation of drinking water sources. PANI technologies can find promising application among the agricultural sector, water-demanding businesses (e.g. textile, pharmaceutical), and the Indian water utilities.
The Art of Developing Autonomic Systems - The ASSL Approach

Autonomic Computing is a rapidly growing IT field that promises a new approach to developing largescale complex computing systems. The AC paradigm aims at handling complexity through self-management by transforming computing systems into autonomic systems. There are many kinds of knowledge that need to be considered for the development of autonomic systems. These are domain knowledge, control knowledge, explanatory knowledge, and system knowledge. Autonomic System Specification Language, or ASSL, is an AC-dedicated framework providing a powerful formal notation and computational tools that help developers with problem formation, system design, system analysis and evaluation, and system implementation. The ASSL framework provides a powerful formal notation and suitable mature tool support that allow ASSL specifications to be edited and validated and Java code to be generated from any valid formal specification.
Acerca del Tratamiento Contrastivo de algunos ítems Fraseológicos en la Traducción del Español al Italiano: una Taxonomía para Abordar las Locuciones en Caperucita en Manhattan

En este artículo pretendemos abordar la teoría y práctica de la traducción desde una perspectiva eminentemente comparativa (español/italiano) atendiendo a algunos aspectos fraseológicos susceptibles de despertar interés en el terreno de la contrastividad lingüística. Así pues, nos proponemos estudiar qué operaciones traductológicas se han llevado a cabo a la hora de verter al italiano la famosa novela de la escritora española Carmen Martín Gaite: Caperucita en Manhattan (1990). En concreto, centraremos nuestro interés en la transposición interlingüística de los distintos tipos de locuciones detectados a lo largo de un minucioso análisis textual. A continuación, comprobaremos qué correspondencias traslativas se han adoptado a lo largo del proceso traductor y presentaremos nuestra propuesta de taxonomía orientada al análisis traductológico de las locuciones, formulada a partir de los postulados de Lozano Zahonero (2011).
Coupling quantum emitters to graphene plasmons: a new route towards fast quantum optics

E-GRA-MONS OPTICS aims to couple quantum emitters (e.g. quantum dots and endohedral fullerenes) to the strong electric fields of graphene plasmons with the ultimate goal of performing fast quantum operations in the near infrared and visible spectrum. Such an integrated system will overcome the low processing speed of atoms and photons, thus providing a robust, solid-state platform for fast quantum optics. The real challenge is to integrate the features of quantum emitters and graphene plasmons into a single functional nanomaterial, understanding how the interactions at the nano-scale can impact its optical properties. To meet this challenge, this project adopts a multidisciplinary approach, combining the applicant’s experience in quantum operations using atoms and photons in conjunction with the world-leading expertise of the host organization in nanoscience and nanotechnology. The main objective is the experimental demonstration of strong emitter-plasmon coupling and plasmon-mediated interactions between emitters, which will be the fundamentals of novel quantum-optics technologies
Single molecule bio-electronic smart system array for clinical testing

Digitizing biomarkers analysis by quantifying them at the single-molecule level is the new frontier for advancing the science of precision health. The SiMBiT project will develop a bio-electronic smart system leveraging on an existing lab-based proof-of-concept that can perform single-molecule detection of both proteins and DNA bio-markers. Specifically, the SiMBiT activities will develop the lab-based device into a cost-effective portable multiplexing array prototype that integrates, with a modular approach, novel materials and standard components/interfaces. The SiMBiT platform exhibits enhanced sensing capabilities: specificity towards both genomic and protein markers along with single-molecule detection limits and time-to-results within two hours. This makes the SiMBiT prototype the world best performing bio-electronic sensing system ever. SiMBiT will reach these ambitious goals with a multidisciplinary research effort involving device-physicists, analytical-chemists, bio-chemists, clinicians, electronic- and system-engineers. The platform is also single-use and cost-effective and can work in low-resource settings. The SiMBiT field-effect sensing system will be fabricated by means of future mass-manufacturable, large-area compatible, scalable techniques such as printing and other direct-writing processes. 3D printing of a module is also foreseen. The SiMBiT prototype will demonstrate, for first time, a matrix of up to 96 bio-electronic sensors and a Si IC chip for the processing of all data coming from the matrix, multiplexing single-molecule detection. As the Si IC pins are limited the chip area is reduced and its cost minimized, enabling a single-use assay plate. SiMBiT will apply the multiplexing single molecule technology to the early detection of human pancreatic neoplasms in a well-defined clinical context, performing simultaneous analysis of genomic and protein markers with a minimal sample volume, reduced costs and reduced time-to-results.
A robust image registration algorithm used for panoramic image mosaic

The panoramic image has been widely used in social production, and has become an important topic in research on the field of image processing. For complex images with multiple scenes and other elements, the algorithm that is based on Harris cannot make image registration effectively. This paper proposes a method that combines Harris with SIFT, using the Harris algorithm with adaptive threshold to extract the corners and the SIFT descriptor to make the registration. It improved registration efficiency sub-effectively for the image in complex scenes, and generated a 360-degree panoramic image quickly. The experiments showed that the algorithm is adaptable and robust.
Cross section measurements of (n, 2n), (n, p) and (n, α) reactions on gadolinium isotopes in the neutron energy range of 13.5 to 14.8 MeV

Cross sections for (n, 2n), (n, p), and (n, α) reactions have been measured on gadolinium isotopes at the neutron energies from 13.5 to 14.8 MeV using the activation technique in combination with high-resolution gamma-ray spectroscopy. Neutrons were produced via the 3 H(d, n) 4 He reaction using solid TiT. The neutron fluences were determined using the monitor reactions 93 Nb( n , 2n) 92m Nb and 27 Al(n, α) 24 Na. The neutron energy in this measurement was determined by cross section ratios for the 90 Zr(n, 2n) 89m+g Zr and 93 Nb(n, 2n) 92m Nb re-actions. Data are reported for the following reactions: 152 Gd(n, 2n) 151 Gd 154 Gd(n, 2n) 153 Gd, 160 Gd(n, 2n) 159 Gd, 156 Gd(n, p) 156 Eu, 157 Gd(n, p) 157 Eu, 158 Gd(n, p) 158 Eu, and 158 Gd(n, α) 155 Sm. The cross sections are discussed and compared with the experimental data found in the literature.
System, apparatus, and method to provide location-based service

Provided is a system, apparatus, and method that includes selectively providing and/or receiving advertisement information from an advertiser based on a coarse synchronization, that provides the advertisement information within expected preset time durations based on a received synchronization signal.
Motor imagery, P300 and error-related EEG-based robot arm movement control for rehabilitation purpose

The paper proposes a novel approach toward EEG-driven position control of a robot arm by utilizing motor imagery, P300 and error-related potentials (ErRP) to align the robot arm with desired target position. In the proposed scheme, the users generate motor imagery signals to control the motion of the robot arm. The P300 waveforms are detected when the user intends to stop the motion of the robot on reaching the goal position. The error potentials are employed as feedback response by the user. On detection of error the control system performs the necessary corrections on the robot arm. Here, an AdaBoost-Support Vector Machine (SVM) classifier is used to decode the 4-class motor imagery and an SVM is used to decode the presence of P300 and ErRP waveforms. The average steady-state error, peak overshoot and settling time obtained for our proposed approach is 0.045, 2.8% and 44 s, respectively, and the average rate of reaching the target is 95%. The results obtained for the proposed control scheme make it suitable for designs of prosthetics in rehabilitative applications.
MONITORING AND EXTINGUISHING DEVICE

The invention relates to a device for monitoring and controlling the extinction of a source of fire or the like in a conveyed material flowing in a pipeline, in which device sources of danger are detected by means of a sensor system and controlled by introducing a fire extinguishant via extinguishing nozzles embedded in the pipe wall. For this purpose, a main controller and a large number of decentralised monitoring devices are provided for monitoring the functioning of each valve unit and of an extinguishing nozzle that is connected downstream to the valve of each valve unit and is to be supplied with the fire extinguishant. In the process, feedback is sent from the monitoring device to the central main controller.
Modelling of liquid phases and metal distributions in copper converters: transferring process fundamentals to plant practice

ABSTRACTThe quantity and accuracy of fundamental data available on copper smelting and converting systems has greatly increased over the past several decades. Engineers need no longer rely on approximations and interpolation of chemical behaviour from idealised or simplified low-order systems. Sophisticated thermodynamic databases and dedicated thermodynamic computer platforms make it possible to predict the outcomes of complex multicomponent, multiphase reactions, and to present this information in forms that are useful for industrial practice. In the present paper a summary and review of phase equilibria data on key Cu-Fe-O-S sub-systems including Ca, Si and minor elements, is provided, as are examples of the application of thermodynamic and thermochemical calculations to the modelling of copper converting. As further information on chemical behaviour and integration with process models become available these sophisticated predictive tools and approaches will become increasingly used to improve metallur...
ELECTRONIC DOOR LOCK OPERATING DEVICE

The present invention relates to an electronic door lock operating device (3) configured to operate a door lock (5) by moving a lock bolt (9) of an associated lock case (7), the device (3) comprising an electric motor (21), a lock bolt operating member (25), the lock bolt operating member (25) being connectable to a lock bolt following member (27) of a door lock (5), and a coupling arrangement (23) for connecting the motor (21) to the lock bolt operating member (25). The coupling arrangement (23) comprises a first coupling member (35), which is fixedly mounted on a rotatable output shaft (37) of the motor (21), a second coupling member (39), which is rotatably and axially displaceably mounted on a coupling shaft (37), the second coupling member (39) being movable along said coupling shaft (37) between a first disengaged position, to which it is biased by a biasing element (43) and in which the motor (21) is disconnected from the lock bolt operating member (25), and an engaged position, in which the second coupling member (39) is arranged to rotate with the first coupling member (35) and in which said coupling arrangement (23) connects the motor (21) to the lock bolt operating member (25), a guide device (41, 61, 63) arranged to, when the second coupling member (39) is in a disengaged position, prevent the second coupling member (39) from rotating with the first coupling member (35), and a ramp device (56) comprising at least one ramp surface (53, 55) and configured to, upon rotation of the first coupling member (35) relative to the second coupling member (39), move the second coupling member (39) from said firstdisengaged position to said engaged position.
Image processing apparatus, image processing method, and computer program

An image processing apparatus includes: an image obtaining unit which obtains an image signal; an extraction position information obtaining unit which obtains information about an extraction position, where an image is extracted, from the image signal; a correction target value calculating unit which calculates a correction target value for correcting the image signal in accordance with the position information from an image center based on the extraction position information; an image correcting unit which corrects the image signal based on the correction target value; and an image extracting unit which extracts the image based on the extraction position information.
European River Corridor Improvement Plans

Background: The management of river corridors in Europe is a story of fragmented responsibilities and multiple agency involvement resulting in contradictory policies and missed opportunities to address the twin concerns of environmental protection and economic growth in one of the most prevalent geographically sensitive landscapes across the EU.

Objectives: River Corridor Improvement Plans (RCIP’s) provide a model for a joint agency, responsible approach to address the complex and interdependent demands often found in concentrated form along river corridors. RCIP’s allow regional agencies with an interest in environmental protection to work in partnership with local authorities with their emphasis on the social and economic growth of their citizens, through a jointly developed co-owned policy document.

Partnership: The ERCIP partnership consists of 4 regional agencies and 5 local authorities from the UK, Germany, Italy, Romania and Greece with an interest in better managing river
corridors. Each partner represents a river corridor dealing with a specific geographical sensitivity including the pressures of development in flood plains, the effects of major riverside industrial sites, coping with the impacts of pollution and managing large scale man-made water storage systems. Each of these situations is further concentrated by the unique demands of being situated in a river corridor.

Main Activities: The ERCIP Project is centred around 6 Partnership Exchange Visits providing a platform for an informed and relevant exchange of experience. Focusing on Site Visits, Thematic Seminars and open Networking Events, each exchange visit will allow for the impact of the joint RCIP approach to be assessed and explored by all the participants in each region.

Expected Outputs and Results: The development of an RCIP for each region based on the following path:
Level 1 - a formal framework for co-operation between the two agencies representing a region.
Level 2 - the development or improvement of a River Corridor Improvement Plan providing a structure and focus for continued joint working.
Level 3 - the development of the RCIP into a Statutory Planning Document (or national equivalent).
Each level builds on the previous by embedding the RCIP within a partners legal framework, with continued development ensured through 5 Regional Implementation Plans.

This in turn will result in the lessons learnt being collated into a European RCIP Good Practice Guide while the development and progress made by the partner regions through the life of the project will be available to all through the ERCIP Website, 6 Exchange Visit Reports and 6 Partnership Newsletters to be disseminated online and through social and e-media. The wider public will also be encouraged to get involved through informal networking events held during each regional exchange.
Tourist Destination "Mediterranean Alps"

The objective of ALPMEDITERR is to create the touristic destination of Mediterranean Alps, through the structuration of its governance in the European Park, but also through the definition of a territorial strategy of sustainable tourism, capable to give value to the diversity and the peculiarity of this protected site, in particular regarding trekking. The project is conceived as a transition that has the goal to give operational capacities to the European Grouping of Territorial Cooperation, that unites Mercantour Park and Maritime Alps Park. The latter is already in coordination with some project partners who are participating to the project World Heritage; at the end of this project they want to continue this cooperation experience through the construction of an integrated territorial initiative for a better definition of multi-sector integrated development.
Smart childhood obesity caring solution using iot potential

Child obesity is the major pediatric public health concern, affecting around 224 million school-age children in the world. Its prevalence has tripled in many European countries since 1980, increasing in an alarming rate. Childhood obesity already affects more than one in three school-aged children in Brazil, Greece and Spain. The main goal of OCARIoT is to promote the improvement of eating and physical disorders and also the prevention of the obesity onset for children (between 9 and 12 years old). For doing so, OCARIoT will develop an IoT-based personalised coaching solution guiding children to adopt healthy eating and physical activity behaviour. The IoT network will allow observing child activity patterns of daily living, health evolution, physiological & behavioural parameters and environmental data. All this information combined with medical patterns will allows OCARIoT to provide a customised obesity coaching plan while enabling children to remain active and engaged in their well-being and healthy habits management. The proposed solution will be able to empower children (and also educational staff and families) in taking control of their health by collecting real-time information about nutrition and physical activity, and interconnecting doctors and children (including parents and tutors) in order to adapt the individual obesity coaching plan. OCARIoT will demonstrate and validate its results on three specific pilot sites in Spain, Greece and Brazil. The OCARIoT consortium will ensure children’s rights and data privacy, security and confidentiality through an Ethics Board composed by healthcare professionals and children representatives from different EU and Brazil organisations.