SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection

This research identifies the commuting mode choice behaviour of 3537 adults living in different types
of transit oriented development (TOD) in Brisbane by disentangling the effects of their “evil twin”
transit adjacent developments (TADs), and by also controlling for residential self-selection, travel
attitudes and preferences, and socio-demographic effects. A TwoStep cluster analysis was conducted
to identify the natural groupings of respondents’ living environment based on six built environment
indicators. The analysis resulted in five types of neighbourhoods: urban TODs, activity centre TODs,
potential TODs, TADs, and traditional suburbs. HABITAT survey data were used to derive the
commute mode choice behaviour of people living in these neighbourhoods. In addition, statements
reflecting both respondents’ travel attitudes and living preferences were also collected as part of the
survey. Factor analyses were conducted based on these statements and these derived factors were
then used to control for residential self-selection. Four binary logistic regression models were
estimated, one for each of the travel modes used (e.g. public transport, active transport, less
sustainable transport such as the car/taxi, and other), to differentiate between the commuting
behaviour of people living in the five types of neighbourhoods. The findings verify that urban TODs
enhance the use of public transport and reduce car usage. No significant difference was found in the
commuting behaviour between respondents living in traditional suburbs and TADs. The results
confirm the hypothesis that TADs are the “evil twin” of TODs. The data indicates that TADs and the
mode choices of residents in these neighbourhoods is a missed transport policy opportunity. Further
policy efforts are required for a successive transition of TADs into TODs in order to realise the full
benefits of these. TOD policy should also be integrated with context specific TOD design principles.
A Device for Measuring High-TC Superconductor Transition Temperature with Electric Transport and AC Susceptibility Methods Based on Small Cryocooler Cooling

A device for measuring high-TC superconducting transition temperature in a small cryocooler is described which allows a samples temperature to fall steadily from room temperature to 45K. This cryocooler not only meets the high-TC superconductors measurement requirements, but also yields accurate measurement results under ambient conditions. In this device, two measurement methods for measuring high-TC superconducting transition temperature are applied: the electric transport and the AC susceptibility. The former adopts a four-wire method to eliminate the contact resistance between the leads and the sample. During the measurement process the current reversal method for datum processing is applied to eliminate the thermoelectric voltages; this ensures the repeatability error less than 0.4K in the measurement of the superconducting transition temperature. The AC susceptibility method adopts a lock-in amplifier to provide an AC voltage signal for the primary coil, and then lock-in amplifier is used to measure the electrical signals of the secondary coil according to the AC magnetic susceptibility values. The advantage of this device is that by merely changing the position of the sample in the vacuum chamber, the R-T curve and the χ-T curve of a superconducting sample in the same temperature range can be automatically recorded, which provides reliable data for high-TC superconductor transition curve measurement.
SYSTEM FOR PRESSURISING THE CABIN OF A VEHICLE OPERATING IN PARTICLE-LADEN AIR

The system (1) comprises an air intake (5) outside the cabin (2), a filter (8) and a turbine (10) for supplying the cabin (2) with pressurised air. According to the invention: - the air intake (5) is used to supply the engine of the vehicle with air; - the system (1) comprises an air intake duct (6) connected directly to the air delivery duct (7) extending between the air filter (8) of the engine of the vehicle and the motor or the turbo compressor (9) with which said engine is equipped; and - the turbine is a multi-stage turbine (10) which is capable of generating a depression greater than the maximum depression value likely to exist in the air delivery duct (7) depending on the clogged state of the air filter (8) of the engine, the speed of said engine and the load on said engine.
Uncovering the genetic roots of asd and adhd

Autism Spectrum Disorders (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) are common neurodevelopmental and childhood-onset chronic disorders. Although ASD and ADHD do have distinct diagnostic definitions, evidence has accumulated to suggest substantial overlap between their symptoms. Despite of being notably impairing and presenting deleterious effects on reproductive success they both are highly prevalent. The goal of GRASAD is the study of two important remaining unsolved issues regarding the genetic underpinnings of ASD and ADHD taking advantage of the most innovative approaches in the neurogenetics field. On one side, GRASAD-I will apply state-of-the-art methodologies to address the question of which and how a diverse set of genetic risk factors are involved in both ASD and ADHD and subsequently to specific symptoms shared between both disorders. On the other side, GRASAD-II will study evolutionary aspects of the genetic roots of ASD from a genomics perspective to shed light on the so-called paradox of psychiatric disorders: given that these disorders are considered maladaptive and have heritable risk, why do they still exist? This study is relevant due to it will not only pave the way for a more precise scientific understanding of ASD and its overlap with ADHD but also can have an impact on psychiatric practice within a precision medicine framework. The evolutionary perspective of the project can generate new hypotheses and guide research, inform treatment strategies, provide a more natural view of disease and elucidate the aetiology of mental illness and suffering. The multidisciplinary nature of the project is strong, involving a combination of well-developed novel approaches in the field of psychiatric genetics. This proposal includes both the transfer of knowledge to the host institution and the training of the candidate in new methodologies. This project is line with the EU strategy on Mental Health and Well Being.
Extraction Joined with Adsorption and Catalytic Oxidation of Dibenzothiophene with Commercially Available Tungsten Carbide

Extraction with ionic liquids joined with adsorption and catalytic oxidation composed with commercially available tungsten carbide, 30% H 2 O 2 and 1-n-octyl-3-methylimidazolium hexafluorophosphate ([omim]PF 6 ) could achieve the ultra-deep removal of dibenzothiophene (DBT) in model oil. In the case of the system increased the sulfur removal to 100% for 1h, which was remarkably superior to mere solvent extraction with IL (29.4%) or adsorption and catalytic oxidation without IL (2.0%). Especially, we found that the removal of 4,6-DMDBT could be up to 100%. The system could be recycled at least 12 times and the deep removal of DBT still could be achieved.
Applicability of bacterial cellulose in cosmetics – bibliometric review

The search for innovation and new approaches to mitigate environmental impact encourages the cosmetic industry to explore new methodologies and materials. Bacterial cellulose has been the focus of research because it has high biocompatibility, skin adhesion, and water retention, in addition to being a sustainable alternative material. This review paper explored the perspectives emerging in the scientific literature on the use of bacterial cellulose in cosmetics. This bibliometric review was performed using four databases along with three software programs to obtain a more complete analysis. The search identified 18 articles related to the topic. Because the highest number of articles was published in the year 2019, it was estimated that more publications will appear in the near future. Studies have demonstrated the potential for the use of bacterial cellulose in face masks for the delivery of active compounds and increased skin hydration, and it can also act as an emulsion stabilizer.
Phenomics and evolution of sexual dimorphism and female colour polymorphism in damselflies

During over 100 years of ecological and evolutionary research, the study of colour polymorphisms has helped to improve our understanding of phenotypic diversification in nature. Polymorphisms are typically expected to be maintained within local populations by evolutionary processes, such as negative frequency-dependent selection. Yet there are only few studies that have quantified multiple axes of correlated phenotypic variation in addition to colour, which limits our current understanding of the emergence and evolutionary maintenance of genetic colour polymorphisms, for example, via correlational selection, linkage or pleiotropic effects. To address this long standing issue, I here propose a series of research projects that use computer-driven high throughput phenotyping to conduct comprehensive phenotypic analyses (phenomics) of a sexual dimorphism and female-limited colour polymorphisms in damselflies (Odonata; Zygoptera). The overarching goal of these projects is to investigate if and how much female damselfly colour morphs that mimic male colouration to increase their fitness (androchrome females) also vary in other, potentially correlated phenotypic traits, such as morphology, behavior and development. First, I will analyze an existing image data set of evolutionary time series data of Swedish damselfly populations, using a combination of classic computer vision and deep learning algorithms to quantify axes of phenotypic variation that have not yet been investigated. Second, I will conduct a mesocosm experiment using individuals from the same local Swedish damselfly populations to investigate whether androchrome females show alternative developmental trajectories. Third, I will conduct in-depth phenotyping of an existing image dataset of different damselfly species to investigate the prevalence of androchromatism and male mimicry in other traits across a large damselfly phylogeny.
Uncertainty in ensemble modelling of large-scale species distribution: Effects from species characteristics and model techniques

Species distribution models (SDM) have been routinely used for the purpose of species conservation and biodiversity management, especially in the context of global climate change. However, there is little knowledge about the uncertainty source on the SDM for the predictions in aquatic ecosystems, especially in the large-scale research. Therefore, we contribute to the first perspective on the uncertainties of SDMs in predicting fish species distribution in lake ecosystems. In total, 92 fish species were predicted with climatic and geographical variables, respectively, using nine widely implemented species distribution models. Generally, we focused on the potential impacts from two main kinds of uncertainty sources: species characteristics (containing species prevalence, altitude range, temperature range and precipitation range) and model technique (calibration technique and evaluation technique). Finally, our results highlight that predictions from single SDM were so variable and unreliable for all species while ensemble approaches could yield more accurate predictions; we also found that there was no significant influence on the model outcomes from the evaluation measures; we emphasized that species characteristics as species prevalence, altitude range size and precipitation range size would strongly affect the outcomes of SDMs, but temperature range size didn't show a significant influence; our findings finally verified the hypothesis that species distributed with a smaller range size could be more accurately predicted than species with large range size was plausible in aquatic ecosystems. Our research would provide promising insights into the prediction of fish species in aquatic ecosystems under the impacts of global climate change, especially for the conservation of endemic fish species in China. Moreover, our results improved the understanding of uncertainties from species characteristics and modelling techniques in species distribution model. (C) 2014 Elsevier B.V. All rights reserved.
Better and faster innovations with phantominds’ instant automated recruiting tool for open innovators

70-90 percent innovatin flops- The avoidable bad investments of 10 billion euros a year! This is highly related by the
innovation methods in use which are not able to deal with the fast-changing markets nowadays. In the innovation race
between countries and companies, the biggest challenge for companies is to build and identify executable ideas and
innovations, especially ideas and new products their customers want and buy.

PHANTOMINDS is a start-up from Hamburg, which was founded with the goal to become the No. 1 crowdsourcing provider
for collaborative innovation development in Europe. We focus on the needs of companies to respond more flexibly and
quickly to changing markets and conditions. PhantoMinds offers companies an open, digital and iterative innovation process
via a crowdsourcing approach to SMEs and large companies. By doing so, PhantoMinds enables SMEs to use the
crowdsourcing community platform to develop ideas and innovations by using the perspectives, expertise and knowledge
from the creative community and/or in combination with external experts and the company’s clients.We have already
designed and implemented a new module as a ""big data"" solution named ""open innovator/lead user internet screening for
companies"" on twitter, facebook and linkedin.

The key market of our solution is the market for Innovation Management. This market with a volume of 379 M€ in 2017 is developing extremely rapid with a CAGR (2017-2022) of 29%. Our goal is to achieve a mar-ket share of approximately 10% in Europe within the next 5 years, which is about 8,7M€.
Transdisciplinary doctoral program in microbiome science at the university of naples federico ii

The microbiome is the community of microorganisms inhabiting an ecosystem along with all their genes and it plays a fundamental role in influencing the metabolic fluxes on the biosphere. Microbiome activity is essential for the life on our planet and the well-being of organisms, and research is attracting interest and investment from the industry worldwide. CRESCENDO Doctoral Programme will recruit 10 international Early Stage Researchers (ESRs) who will be involved in research and training in the Microbiome field, leading to a worldwide appreciated PhD degree valuable in terms of ESR career perspectives. UNINA applies for the MSCA-COFUND-DP through its recently established Task Force on Microbiome Studies (www.tfm.unina.it), that combines facilities and experience of more than 150 Academic scientists from 14 different UNINA Departments in the areas of Biology, Medicine, Food and Agricultural Sciences, Chemistry, Pharmacy, Engineering and Social Sciences, thus representing an ideal trans-disciplinary environment to support training and research in the microbiome field. The Programme will benefit of the participation of 21 Partner Organizations (POs) including leading international companies that are stakeholders of the microbiome research and excellent non-academic research centres. Indeed, all ESRs will spend secondment periods abroad and at least 6 months in a non-academic PO, in full integration with their Microbiome-related activities. The POs will have a key role in achieving an international, interdisciplinary and intersectoral (3-i) dimension of the DP. CRESCENDO would represent at this stage the only MSCA-COFUND project for a doctoral programme in Microbiome Science, developing trans-disciplinary Microbiome scientists with intersectoral and international experience and with a multidisciplinary scientific and technical background.
Pathological findings after primary chemotherapy in patients undergoing simultaneous orchidectomy and retroperitoneal lymph node dissection for advanced germ cell tumours

To determine the differential response to systemic chemotherapy in patients undergoing simultaneous orchidectomy and retroperitoneal lymph node dissection (RPLND) after chemotherapy for metastatic testicular cancer.Patients who underwent simultaneous RPLND and orchidectomy after chemotherapy were identified from our clinical databases. Postoperative pathological findings and patient characteristics were reviewed.In all, 42 patients were identified. After chemotherapy, necrosis, teratoma and cancer were identified in 25 (59.5%), 14 (33.3%) and three (7.1%) RPLN specimens and 15 (35.7%), 15 (35.7%) and 12 (28.6%) orchidectomy specimens respectively. Of the 25 patients with necrotic RPLN specimens 12 (48.0%) had active disease within the orchidectomy specimen (eight invasive cancer and four mature teratoma). The overall histological discordance rate was 38.1%. Findings in the orchidectomy specimens were more aggressive than those in the RPLN specimens (i.e. cancer worse than teratoma, which is worse than necrosis) in 33.3%.There is significant disparity between orchidectomy and RPLND findings with viable tumour appearing frequently in the testis despite tumour-free RPLNs. These findings support completion orchidectomy as part of advanced testicular germ cell treatment.
Distributed network of active noise equalizers for multi-user sound control

The project is aimed at developing a novel wireless acoustic sensor network (WASN) for multi-user active noise equalization without the need of using headsets. This system is formed by multiple active noise equalizers (ANEs), which act as a node in a WASN-type set up and cooperate to simultaneously solve their node-specific noise equalization problems. By doing so, the proposed system can simultaneously ensure the auditory comfort of multiple users that are regularly exposed to high noise levels. This is radically different from the current multi-user systems for ANE where each node aims at ensuring the auditory comfort of each passenger without cooperation.

To implement the proposed multi-user ANE, the project will rely on distributed algorithms derived within the EU-FET HANDiCAMS project. These algorithms build on node-specific cooperation rules to allow the cooperation of devices interested in different signal processing tasks and let them attain superior performance as compared to the case where they would operate on their own. In particular, through these node-specific cooperation rules, these algorithms yield a system that overcomes the two main limitations of the existing technologies. First, the spatial diversity of all the microphone signals can be leveraged and hence superior levels of noise attenuation can be attained in the active noise equalization problem of each node. Second, there is no performance degradation due to the acoustical interaction between ANEs of different users, which allows to perform simultaneous ANEs in scenarios with a high density of users.

Due to its competitive advantages, the current levels of noise reduction can be attained with much simpler and cheaper ANEs, which will make the technology more accessible and will enhance the commercialization of ANEs on grand-scale. Thus, the proposed project is expected to constitute a strong seed for the creation of jobs, which will encourage the entrepreneurship in the FET research world.
Quantitative Structure–Property Relationship Approach in Formulation Development: an Overview

Chemoinformatics is emerging as a new trend to set drug discovery which correlates the relationship between structure and biological functions. The main aim of chemoinformatics refers to analyzing the similarity among molecules, searching the molecules in the structural database, finding potential drug molecule and their property. One of the key fields in chemoinformatics is quantitative structure–property relationship (QSPR), which is an alternative process to predict the various physicochemical and biopharmaceutical properties. This methodology expresses molecules via various numerical values or properties (descriptors), which encodes the structural characteristics of molecules and further used to calculate physicochemical properties of the molecule. The established QSPR model could be used to predict the properties of compounds that have been measured or even have been unknown, which ultimately accelerates the development process of a new molecule or the product. The formulation characteristics (drug release, transportability, bioavailability) can be predicted with the integration of QSPR approach. Therefore, QSPR modeling is an emerging trend to skip conventional drug as well as formulation development process. The current review highlights the overall process involved in the application of the QSPR approach in formulation development.
Integrated control and sensing platform for biopharmaceutical cultivation process high-throughput development and production

iConsensus will provide innovative analytical, hardware, software and high-throughput (HTP) solutions for the development, monitoring and control of mammalian cell cultivation process producing biopharmaceuticals. iConsensus will develop an analytical platform with on-line/at-line sensors and detection methods measuring multiple factors in the cell culture and the produced biopharmaceutical. Under advanced data management, the analytical platform will be integrated in new micro-bioreactors for HTP screening on one hand and in classical stirred tank vessel bioreactor on the other hand. Based on the analytical information, feedback control will be applied. When deemed suitable, implementation in GMP production of the sensing and control tools will be carried on.
Future Laboratory for the Diffusion and Application of Innovation in Materials Science and Engineering

Materials sciences and engineering (MS&amp;E) are significant innovation drivers within the Central European area and thus crucial for competitiveness and economic growth. The MS&amp;E sector has its particularities like: frequent introduction of new material technologies, existing requirements and specifications frequently do not fit the unique features of advanced material and the sectors complexity requires wider range of high-quality resources and financial means. Joint activities that are answering sector-specific challenges are needed. The project FLAME reacts on these challenges by testing the innovative co-operation modules that facilitate the information flows and interactions among the regions.
The project partnership involves on one hand regions, which are hot spots in the field of materials sciences and innovation as well as regions that suffer from a lack of competitiveness and stagnant economy. However, in all participating regions companies, especially SMEs, are facing the barriers when working together across national borders and also lack market transparency regarding active players in the broad field of materials science.

Within the FLAME project the partners aim at unlock the full potential of all types of enterprises ranging from start-ups, spin-offs and high-growth "gazelles" to traditional enterprises, micro-enterprises and family SMEs and enabling them to bring MS&amp;E knowledge and technologies to the market, to internationalize their value &amp; supply chains and thereby improve their growth potential. By building bridges for MS&amp;E know-how, research results become commercialized and transferred into actions and money and in the long run to an enhanced competitiveness of all involved regions.