SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Intranasal inhalation of oxytocin improves face processing in developmental prosopagnosia

Developmental prosopagnosia (DP) is characterised by a severe lifelong impairment in face recognition. In recent years it has become clear that DP affects a substantial number of people, yet little work has attempted to improve face processing in these individuals. Intriguingly, recent evidence suggests that intranasal inhalation of the hormone oxytocin can improve face processing in unimpaired participants, and we investigated whether similar findings might be noted in DP. Ten adults with DP and 10 matched controls were tested using a randomized placebo-controlled double-blind within-subject experimental design (AB-BA). Each participant took part in two testing sessions separated by a 14-25 day interval. In each session, participants inhaled 24 IU of oxytocin or placebo spray, followed by a 45 min resting period to allow central oxytocin levels to plateau. Participants then completed two face processing tests: one assessing memory for a set of newly encoded faces, and one measuring the ability to match simultaneously presented faces according to identity. Participants completed the Multidimensional Mood Questionnaire (MMQ) at three points in each testing session to assess the possible mood-altering effects of oxytocin and to control for attention and wakefulness. Statistical comparisons revealed an improvement for DP but not control participants on both tests in the oxytocin condition, and analysis of scores on the MMQ indicated that the effect cannot be attributed to changes in mood, attention or wakefulness. This investigation provides the first evidence that oxytocin can improve face processing in DP, and the potential neural underpinnings of the findings are discussed alongside their implications for the treatment of face processing disorders.
The Importance of Postural Cues for Determining Eye Height in Immersive Virtual Reality

In human perception, the ability to determine eye height is essential, because eye height is used to scale heights of objects, velocities, affordances and distances, all of which allow for successful environmental interaction. It is well understood that eye height is fundamental to determine many of these percepts. Yet, how eye height itself is provided is still largely unknown. While the information potentially specifying eye height in the real world is naturally coincident in an environment with a regular ground surface, these sources of information can be easily divergent in similar and common virtual reality scenarios. Thus, we conducted virtual reality experiments where we manipulated the virtual eye height in a distance perception task to investigate how eye height might be determined in such a scenario. We found that humans rely more on their postural cues for determining their eye height if there is a conflict between visual and postural information and little opportunity for perceptual-motor calibration is provided. This is demonstrated by the predictable variations in their distance estimates. Our results suggest that the eye height in such circumstances is informed by postural cues when estimating egocentric distances in virtual reality and consequently, does not depend on an internalized value for eye height.
Sistema de indicadores que fomenten el turismo sostenible en la Provincia de Manabí

The main objective of the research was to design a system of sustainable development indicators for the tourism sector in the province of Manabi, the same that is of a descriptive-exploratory type with a qualitative-quantitative approach; three specific objectives were set for the development of the research; The first objective was to diagnose the tourism sector, which was based on the delimitation and characterization of the province under study, continued by the analysis of tourism management, it was possible to obtain the relevant criteria by the actors involved through the matrix of involved and interviews directed to the main actors involved; based on that the SWOT matrix was developed identifying the problems of Manabi. The second objective is based fundamentally on the results of the bibliography review of the international organizations and pilot plans, generating a preliminary list, obtaining the relevant results for the decision making in the destination, and then elaborating a list of problems to correlate them with the indicators. The third objective was established in evaluating the indicators through the Delphi method, consisting of four areas of sustainability, 23 topics and 37 sustainability indicators, synthesized through a technical sheet for each indicator, which fulfill the functions of obtaining and interpreting and evaluating the information that they produce to carry out the decision-making and thus exercise the rectory in a sustainable manner within the planning and tourism management of Manabi.
Training, research and raising of public awareness in cell biology and pathology of neuroglia

The research in which the young scientists of the EU-GliaPhD consortium will be trained is centred on the role of neuron-glia interactions in brain function and pathology.
Prompted by exciting discoveries of recent years, many academic research groups are currently focussing their research on the field of neuron-glia interactions for a better understanding of brain function. Also the private sector such as the pharmaceutical industry pays more and more attention to the role of neuroglia in various neuropathologies. These research activities create an increasing demand for outstanding young neuroscientists to join academia or industry. To address this need for neuroscientists with a strong knowledge in neuron-glia interactions, the EU-GliaPhD consortium of recognized European neuroscientists decided to initiate a training network in which young scientists, the EU-GliaPhD fellows will be educated in collaborative research projects to study neuron-glia interactions at the molecular, cellular and systems level in the healthy and the diseased brain. A strong emphasis will lie on epilepsy, a multi-faceted, chronic neurological disorder characterized by the frequent recurrence of seizures.
The EU-GliaPhD consortium will focus on five important educational and training objectives:
1. Broad training in several current state-of-art technologies that are highly relevant for brain research
2. Teaching an in-depth understanding of molecular and cellular neurobiology and -pathology
3. Focused specialization in defined research projects
4. Training in dissemination of modern neuroscience research to expert and lay audiences
5. Education in soft skills such as article writing, oral presentations or research ethics
By studying epilepsy, fundamental questions on the cellular and molecular aspects of neuron-glia interaction can be addressed. Novel insight delivered by EU-GliaPhD may serve as basis for the development of novel strategies in treating brain disorders.
Recursive engineering electronic properties of artificial energy materials with multi-pulse spectroscopy

Organic Photovoltaic (OPV) cells are one of the most promising energy conversion materials of our modern world due to their high-mechanical flexibility, robustness, and low-cost production. However, a crucial drawback remains: their low energy conversion efficiency. A reason for this can be ascribed to electronic-vibrational dynamics affecting the ultrafast charge separation occurring in the material upon light absorption. Substantial efforts have been made to defeat this problem, however the incomplete understanding of the elementary mechanism governing the conversion process has restrained further advancements in this direction. In REPAMPS (Recursive Engineering electronic Properties of Artificial energy Materials with multi-Pulse Spectroscopy). I will deliver a first-principles theoretical description of the charge transfer mechanism governing the energy conversion for a prototypical OPV, the P3HT-PCBM blend, and introduce the novel Spectrally Engineered Control (SEC) methodology to direct the charge transfer process towards higher power conversion. A TDDFT methodology will be used to parametrize the P3HT-PCBM heterojunction in its environment, and a molecular dynamics protocol will be adopted for a realistic modelling of the dissipation and spectral bath. Quantum dynamics with explicit description of the external fields and calculation of various time-resolved optical spectroscopies will be simulated. The signals will be validated in collaboration with an experimental group. Nonadiabatic dynamical processes (e.g. conical intersections) affecting the charge transfer and the environment role will be carefully investigated. Last, I introduce the SEC approach combining optimal control theory with the analysis of the spectra, representing a solid strategy for the photocontrol of the molecular mechanism (charge-transfer) governing the power conversion in OPV materials. I will then propose new design strategies for OPV materials using the insights gained from REPAMPS.
Tita Cepeda y Julio Olaciregui. <i>Los años de aprendizaje de Álvaro Cepeda Samudio</i>

Review of de Cepeda, T.; Olaciregui, J. (directores) (2021). Los años de aprendizaje de Álvaro Cepeda Samudio . Barranquilla: Universidad del Norte Editorial, 168 pp.
ALPS ENERGY EFFICIENCY

The general objective is to improve the optimisation and energy efficiency of public buildings with “High Energy Performances”. The idea is to share and capitalise the Italian and French feedbacks about low-energy public buildings in the alps and recently conceived. Once built or renovated, these building can have pathologies and problems that impact the energy performances expected. The project has several specific goals:_x000D_
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- Obtain shared knowledge on existing pathologies in low-energy buildings;_x000D_
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- Identify areas of improvement for all the actors from the building sector and propose technical solutions but also innovating organisational solutions in the building process;_x000D_
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- Propose proactive trainings with innovating tools for the actors from the sector.
Adapting Antika to COVID-19 standards and recommendations

Project of structuring safety and well-being conditions for Antika employees, clients and partners, in the COVID-19 context, in accordance with the recommendations and standards of the competent authorities Reorganisation of work and business to the new conditions generated by the pandemic.
Catalogue of knowledge and skills for sleep medicine

Sleep medicine is evolving globally into a medical subspeciality in its own right, and in parallel, behavioural sleep medicine and sleep technology are expanding rapidly. Educational programmes are being implemented at different levels in many European countries. However, these programmes would benefit from a common, interdisciplinary curriculum. This 'catalogue of knowledge and skills' for sleep medicine is proposed, therefore, as a template for developing more standardized curricula across Europe. The Board and The Sleep Medicine Committee of the European Sleep Research Society (ESRS) have compiled the catalogue based on textbooks, standard of practice publications, systematic reviews and professional experience, validated subsequently by an online survey completed by 110 delegates specialized in sleep medicine from different European countries. The catalogue comprises 10 chapters covering physiology, pathology, diagnostic and treatment procedures to societal and organizational aspects of sleep medicine. Required levels of knowledge and skills are defined, as is a proposed workload of 60 points according to the European Credit Transfer System (ECTS). The catalogue is intended to be a basis for sleep medicine education, for sleep medicine courses and for sleep medicine examinations, serving not only physicians with a medical speciality degree, but also PhD and MSc health professionals such as clinical psychologists and scientists, technologists and nurses, all of whom may be involved professionally in sleep medicine. In the future, the catalogue will be revised in accordance with advances in the field of sleep medicine.
Creep behavior of high-pressure die-cast Mg-4Al-4La-0.4Mn alloy under medium stresses and at intermediate temperatures

Abstract Tensile creep behavior of the high-pressure die-cast Mg-4Al-4La-0.4Mn alloy under stresses of 50–100 MPa and at 150–225 °C was thoroughly investigated. This alloy exhibits a stress exponent of approximately 6 and the activation energy Q falls within the range of 80–120 kJ/mol at 150–200 °C. From fitting results, the commonly adopted threshold stress approach is not suitable for ALa44 alloy, and the normalized stress exponent is approximately 7, suggesting that creep deformation of ALa44 alloy was controlled by low-temperature dislocation climb (core diffusion). Furthermore, the microstructural analysis results indicate that the rate-controlling creep mechanism of ALa44 alloy is dislocation climb, but the cell boundary disintegration and the dislocation cross-slip also assisted deformation during creep processes.
DEVICE FOR CONNECTING TWO HOLLOW BIOLOGICAL TISSUES BY SUTURES

The invention relates to a device which includes a first portion (100) suitable for being arranged on the free side of one of the two hollow biological tissues placed next to one another and a second portion (200) suitable for being arranged on the free side of the other one of the two hollow biological tissues placed next to one another, the first portion including two rows of needles (3), suitable for piercing the walls of the two hollow biological tissues to carry a first suture thread, and optionally a knife for cutting the two walls, the second portion including a means (5) for placing a second suture thread in the loops of the first suture thread.
Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review

Ultrasound is an important and low cost imaging modality used to study the internal organs of human body and blood flow through blood vessels. It uses high frequency sound waves to acquire images of internal organs. It is used to screen normal, benign and malignant tissues of various organs. Healthy and malignant tissues generate different echoes for ultrasound. Hence, it provides useful information about the potential tumor tissues that can be analyzed for diagnostic purposes before therapeutic procedures. Ultrasound images are affected with speckle noise due to an air gap between the transducer probe and the body. The challenge is to design and develop robust image preprocessing, segmentation and feature extraction algorithms to locate the tumor region and to extract subtle information from isolated tumor region for diagnosis. This information can be revealed using a scale space technique such as the Discrete Wavelet Transform (DWT). It decomposes an image into images at different scales using low pass and high pass filters. These filters help to identify the detail or sudden changes in intensity in the image. These changes are reflected in the wavelet coefficients. Various texture, statistical and image based features can be extracted from these coefficients. The extracted features are subjected to statistical analysis to identify the significant features to discriminate normal and malignant ultrasound images using supervised classifiers. This paper presents a review of wavelet techniques used for preprocessing, segmentation and feature extraction of breast, thyroid, ovarian and prostate cancer using ultrasound images.
Renewable and sustainable energy challenges to face for the achievement of Sustainable Development Goals

This paper is the editorial for the virtual special issue (VSI) of Renewable and Sustainable Energy Reviews (RSER) dedicated to 4 SDEWES Conferences held in 2020, namely: (i) the 2nd Latin American Conference on Sustainable Development of Energy, Water and Environment Systems (LASDEWES 2020) held from February 9 to 12, 2020 in Buenos Aires, Argentina; (ii) the 1st Asia Pacific Conference on Sustainable Development of Energy, Water and Environment Systems (APSDEWES 2020) held from April 6 to 9, 2020 in Gold Coast, Australia; (iii) the 4th South East European Conference on Sustainable Development of Energy, Water and Environment Systems (SEESDEWES 2020) held from June 28, 2020 to July 2, 2020 in Sarajevo, Bosnia Herzegovina, and (iv) 15th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2020) held from September 1 to 5, 2020 in Cologne, Germany. The VSI collected both high quality review papers and original research articles presented at the 4 SDEWES conferences in 2020 belonging to the aims and scope of RSER. After a scrutinizing peer review process, 20 articles were accepted and published. These articles fall into four main areas: renewable energy cutting edge technologies, energy storage, energy modelling techniques and, climate and energy policy and impacts. Cross-areas articles belong to this Special Issue covering almost all the Sustainable Development Goals (SDGs).
Video livestreaming has never been easier

Video streaming is the fastest growing way that audiences are consuming content. But there does not exist a service that allows simultaneous broadcasting to all major social media streams nor one that lets users edit/cut video clips while the livestream is being broadcast. 
Contentflow is an online video streaming tool that offers users live broadcasting services, text/chat services, live-blogging services, etc. on an encrypted network that is secure and provides HD quality video content and services to every user. Contentflow’s software is flexible, allowing users to stream and edit video in real-time. Video streams can be broadcast on multiple networks simultaneously. And Contentflow’s advanced analytics allows its users to get access to the vital information on their audience they need to provide optimum content. 
Due to increased Internet speed and Internet access, there are more viewers than ever who can stream videos online. Many social media channels such as Facebook and Instagram have begum launching their own video livestreams, for instance. This trend is expected to rocket the global video streaming software market to over €9 billion by 2023. Based on our game changing value proposition, we project we can reach 2,000 clients by 2024.
We target a SaaS subscription model at €4,500-5,000/month including 10TB storage and 10TB traffic with up-sale possibility of €0.15/GB of additional traffic. Our customers are media companies and end users are viewers. In Europe, our current clients include ARD Aktuell, Online Marketing Rockstars (OMR) and FUNKE media group. The Electronic Sports League (ESL) is currently testing the Contentflow platform as a better way to reach their audiences worldwide.Livestreaming can help democratize information and provide true freedom of communication, allowing information to be shared and viewed by anyone. With Contentflow, video information can reach anyone’s device with a live Internet connection allowing them to get access.
5A 1300V Trenched and Implanted 4H-SiC Vertical JFET

A silicon carbide (SiC) vertical channel junction field effect transistor (VJFET) was fabricated based on in-house SiC epitaxial wafer with lift-off trenched and implanted method. Its blocking voltage exceeds 1300V at gate bias VG = -6V and forward drain current is in excess of 5A at gate bias VG = 3V and drain bias VD = 3V. The SiC VJFET device’s current density is 240A/cm2 at VG= 3V and VD = 3V, with related specific on-resistance 8.9mΩ•cm2. Further analysis reveals that the on-resistance depends greatly on ohmic contact resistance and the bonding spun gold. The specific on-resistance can be further reduced by improving the doping concentration of SiC channel epilayer and the device’s ohmic contact.
Resistance versus Balance Training to Improve Postural Control in Parkinson's Disease: A Randomized Rater Blinded Controlled Study

Reduced muscle strength is an independent risk factor for falls and related to postural instability in individuals with Parkinson's disease. The ability of resistance training to improve postural control still remains unclear.To compare resistance training with balance training to improve postural control in people with Parkinson's disease.40 patients with idiopathic Parkinson's disease (Hoehn&Yahr: 2.5-3.0) were randomly assigned into resistance or balance training (2x/week for 7 weeks). Assessments were performed at baseline, 8- and 12-weeks follow-up: primary outcome: Fullerton Advanced Balance (FAB) scale; secondary outcomes: center of mass analysis during surface perturbations, Timed-up-and-go-test, Unified Parkinson's Disease Rating Scale, Clinical Global Impression, gait analysis, maximal isometric leg strength, PDQ-39, Beck Depression Inventory. Clinical tests were videotaped and analysed by a second rater, blind to group allocation and assessment time.32 participants (resistance training: n = 17, balance training: n = 15; 8 drop-outs) were analyzed at 8-weeks follow-up. No significant difference was found in the FAB scale when comparing the effects of the two training types (p = 0.14; effect size (Cohen's d) = -0.59). Participants from the resistance training group, but not from the balance training group significantly improved on the FAB scale (resistance training: +2.4 points, Cohen's d = -0.46; balance training: +0.3 points, Cohen's d = -0.08). Within the resistance training group, improvements of the FAB scale were significantly correlated with improvements of rate of force development and stride time variability. No significant differences were found in the secondary outcome measures when comparing the training effects of both training types.The difference between resistance and balance training to improve postural control in people with Parkinson's disease was small and not significant with this sample size. There was weak evidence that freely coordinated resistance training might be more effective than balance training. Our results indicate a relationship between the enhancement of rate of force development and the improvement of postural control.ClinicalTrials.gov ID: NCT02253563.
Knowledge Transfer in Activity Recognition Using Sensor Profile

Most previous work in activity recognition using transfer learning requires at least unlabelled target domain dataset, which is not practical for a smart home system to be deployed in practical use. A better solution to build an intelligent system for a smart home is to collect the dataset in a laboratory environment, and use transfer learning to reduce the effort of data collection. In this work, we represent a knowledge transfer method for activity recognition. Specifically, we define sensor profiles for sensors in the source and the target domain datasets using background knowledge about the sensor networks, and measure the similarity of features between two datasets using these profiles. Graph matching algorithms are adopted to automatically compute appropriate mappings of features based on the similarity measure. This method can be used in data preprocessing procedures, so it can be applied to an existing learning system without affecting the following procedures. The result of our experiment shows that it is possible to transfer knowledge between datasets in activity recognition using our method.