SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Expression of Robo2 gene during the renal development in mice

Objective　To observe the expression of Robo2 gene, and explore its role during the renal development of mice. Methods　Real-time quantitative RT-PCR was used to semi-quantitatively measure the expression level of Robo2 mRNA in the developing murine kidney at fetal age of 12.5, 13.5, 14.5, 15.5, 16.5 and 17.5 days, and also 1 day, 1 week, 5 weeks after birth. Immunofluorescence staining was used to examine the expression location of Robo2 protein at different stages of embryonic and postnatal kidney. Results　Real-time quantitative RT-PCR analysis revealed that Robo2 was highly expressed in embryonic kidney at fetal age of 12.5, 13.5 and 14.5 days, while the expression level declined quickly thereafter and maintained at very low level after birth. Immunofluorescence staining showed that the expression of Robo2 protein could be primarily detected in metanephric mesenchyme of the developing kidney, but not in the ureteric bud. With the development of embryonic kidney, Robo2 protein was expressed in cell membrane of metanephric mesenchyme, condensed cap mesenchyme surrounding the tip of the ureteric bud, comma-shaped body, S-shaped body and renal capsule, finally expressed in the podocytes. Besides, Robo2 protein was also weakly expressed in part of the proximal tubular epithelial cells. Absence of Robo2 gene resulted in abnormal development of nephron, and broadening of some renal tubules and collecting ducts. Conclusion　Robo2 plays an important role in the nephron development in mice by regulating the interaction of metanephric mesenchyme and ureteric bud.
Complex Korkine-Zolotareff Reduction Algorithm for Full-Diversity MIMO Detection

The Korkine-Zolotareff (KZ) reduced basis is considered as the best reduced basis for use in data decoding in multiple-input multiple-output (MIMO) communication systems. In this paper, we present an improved KZ algorithm for direct application in reducing a complex lattice basis. The enumeration algorithm, which is the dominant contributor to the main cost of the KZ algorithm, is also modified for a complex lattice. We reduce the number of iterations in the KZ algorithm to reduce complexity without degrading performance. In addition, we show that KZ-reduction-aided decoding is capable of achieving full diversity. Simulation results demonstrate the excellent performance and low complexity of the improved algorithm.
Alla ricerca dell’Italianità. Il ruolo dell’italiano nella comunità italiana di Montreal

Questo contributo s’inserisce in una ricerca etnografica più ampia sulla “comunità italiana” di Montreal, in Canada. Il suo scopo principale è quello di illustrare la situazione della lingua italiana e delle altre lingue e dialetti parlati dai discendenti della migrazione italiana nella città. Inoltre, tale progetto è volto a sottolineare l’importanza della questione della diversità e varietà linguistica nel processo identitario del gruppo, alla ricerca di una sua italianità, e il ruolo chiave delle pratiche linguistiche e della loro evoluzione in un contesto multilingue come quello di Montreal, a contatto con due lingue dominanti: il francese e l’inglese. Le ricerche si sono svolte a Montreal, dal 2011 al 2021, e sono state raccolte 60 interviste di italiani o discendenti di emigrati italiani di diversa età, sesso, condizione socio-economica, professione e studi. L’analisi dei dati ci ha permesso di osservare alcune caratteristiche peculiari dell’italiano parlato a Montreal, ed è stato inoltre possibile studiare il ruolo chiave e il particolare statuto dell’italiano attraverso ideologie e rappresentazioni, come elemento dell’identità comunitaria e della costruzione della cosiddetta italianità.
A Study on Milk Value Chain for the Poor in Bangladesh

Child and maternal undernutrition is still prevalent in Bangladesh and poor dietary diversity is one of the major causes. While milk can contribute to nutritional requirements, currently availability in Bangladesh is 126ml/person/day, whereas recommended consumption is 250ml/person/day. This case study was conducted to identify existing milk value chains and the milk consumption behaviour of poor people. Priority was given to women and children as they are the most vulnerable in both rural and urban areas. It was observed that both formal and informal value chains coexist where milk collectors and chilling centres have a lead role. At the household level, milk purchase decisions are usually taken by men in rural areas, whereas in urban areas women take part equally in the process. Government and private sector initiatives can play a role in increasing milk production and consumption through greater investment. Behavioural change communication is also vital to build awareness of milk consumption.
Cerebrospinal fluid and serum cytokine profiling to detect immune control of infectious and inflammatory neurological and psychiatric diseases

• CSF cytokines are more frequent abnormal than in serum in neuroinflammation. • In meningitis cytokines are more often abnormal than mood disorders. • CSF pro-and anti-inflammatory cytokines are increased in psychiatric disorders. • The albumin CSF/Serum quotient (Q-Alb) correlates to CSF-cytokines levels. • CSF cytokines are associated with intrathecal IgM production. The present study aimed at profiling inflammatory cytokines for neurological and psychiatric diseases. A total of 86 patients with meningitis, multiple sclerosis, tension-type headache, idiopathic facial nerve palsy (IFNP), affective and schizophrenic disorders were tested for both, serum and cerebrospinal fluid (CSF) using a multiplexed cytokine ELISA for IFN-γ, TNF-α, IL-1β, IL-2, IL-4, IL-5, IL-8/CXCL8, IL-10, IL12p70, IL-13 and IL-17. Cases with viral and bacterial meningitis had unequivocally higher cytokine concentrations in the CSF when compared with serum. Bacterial meningitis was unique by extremely elevated IL-17, TNF-α and IL-1β, indicating a plethora of inflammatory pathways, selectively activated in the CSF. In relapsing multiple sclerosis, IFN-γ and IL-10 were elevated in both, serum and CSF, but IL-12p70, IL-5, IL-13, and TNF-α were more prominent in serum than in CSF. Qualitatively similar biomarker patterns were detected in patients with idiopathic facial nerve palsy and tension-type cephalgia. Affective and schizophrenic disorders clearly present with an inflammatory phenotype in the CSF and also serum, the cytokines determined were in general higher in schizophrenia. Except IFN-γ, schizophrenic patients had higher IL-12p70 and a trend of higher IL-10 and IL-13 in serum suggesting a more prominent TH2-type counter regulatory immune response than in affective disorders. These differences were also mirrored in the CSF. Elevated IL-8 appears to be the most sensitive marker for inflammation in the CSF of all diseases studied, whereas TNF-α was restricted to peripheral blood. With the exception of IL-8, all but viral and bacterial meningitis, studied, displayed higher means of elevated lymphokine concentrations in the serum than in the CSF. This observation supports the concept of immunological crosstalk between periphery and intrathecal immunity in neurological and psychiatric diseases.
Equipping of an airplane with sensors for continuous measurement of climate affecting gases in the undisturbed air and in the engine wake to provide engine aging data and climatic or meteorological data for ground collection

Analysis system is based on positioning of two sets of sensors on an airplane. The first set (2, 3, 4) are positioned along and on an end of a main wing, i.e. in undisturbed air, while a second set (6-9) are placed on a tail wing in an engine wake. The two sets of data can be combined to make predictions about engine aging, while data from the forward sensors can be collected on the ground.
Gendered Rights in the Post-2015 Development and Disasters Agendas

This article explores how, 20 years after the Beijing conference, women's rights are being discussed within processes to develop a post-2015 sustainable development agenda and the parallel international disaster risk reduction framework. It is based on analysis of documents produced to date from the various processes, and also personal experience of seeking to influence both the post-2015 development and disaster agendas. It highlights how attempts to marry the environmental and development agendas reveal a continued problematic conceptualisation of sexual and reproductive rights. It suggests that in gender terms, while the post-2015 development agenda and the related Sustainable Development Goals (SDGs) are over-ambitious to the point of being mere rhetoric, gender rhetoric is yet to enter the international disaster risk reduction discourse. This, the article argues, coupled with the continued conceptualisation of disasters as outside mainstream development, has further negative implications for the recognition and fulfilment of women's rights.
Motion powered 3d printed self-healable energy storage for wearable electronics utilizing plastic waste

Portable and wearable devices including smartwatches, health monitoring, and multimedia devices are becoming increasingly popular in our daily lives. These devices are generally powered by batteries that have a limited lifetime. Recently, the development of triboelectric nanogenerators (TENGs) has shown to be an effective approach to transforming biomechanical energy to power up these devices. However, TENGs generate low energy and AC signals which limit their use in continuously powering up electronics. The AC signals of TENGs must be converted and stored in energy storage. Among energy storage devices, supercapacitors (SCs) are found to be a promising device due to their high power density, moderate energy density, long cycle life, and safe use. Hence, this project aims to develop an integrated device (TENGSC), connecting a high-performance TENG with an SC, which can store the transformed biomechanical energy. However, the TENG and SC are susceptible to undergoing damage during biomechanical actions. This mechanical damage can be overcome by developing self-healable TENG and SC. The self-healing nature will help to restore their properties if any damage happens during the cyclic movements. Moreover, to harvest high power from the TENG, a 3D printing technique will be followed, which can easily introduce micropatterns on the film surface. The micro-patterns provide higher frictional effect which is the key factor in increasing the conversion efficiency of TENG. Besides, the energy density of the SC can be increased through using porous MXenes –Ti3C2 as electrode materials. This can be developed through the 3D printing of a Ti3C2/graphite–based polyethylene terephthalate (PET) filament followed by pyrolysis. The waste drinking water bottles can be used as PET source.  Thus, through this work, biomechanically driven smart power source will be developed along with concept of waste to wealth transformation, which can be used in portable and wearable electronics.
Renewable Energies for Zero Emission Transport In Europe

The project REZIPE calls on public administration to support the transition to cleaner and more efficient transport means as good as possible. The widespread use of the conventional used of internal combustion engines (ICE) is creating adverse effects near roads and especially in cities having high traffic densities. Emission of toxins and noise molestations are negative impacts resulting from the use of ICE. Recent attempts to establish biofuels in the transport sector on the other hand, have ended in troubles. The current generation of biofuels is depending mainly on food-like feedstock and modern internal combustion engines.

Whilst those problems may be solved by using emission control measures in the long run, two problems remain when using ICE. Firstly the low efficiency creates a huge dependency on fossil fuels and secondly especially the introduction of efficient diesel engines has caused massive noise problems. The industrial excellence which has been achieved for ICE hampers alternatives competing on the market. 

Focusing on Central Europe, REZIPE will create a stronger awareness for zero emission vehicles fed by renewable energy, through the development and validation of policy tools comprising financial, regulatory and awareness initiatives. 

The energy used in zero emission vehicles (ZEVs) should come from renewable and/or clean energy in order not to impair the well-to-wheel balance. They are based on electric power trains (battery electric and catenary fed), have no local gaseous emissions, negligible sound emissions and offer plenty of options for renewable energies to be used in producing the electric energy.
ERIKA CAMELI ‘REBEL’

REQUEST FOR FACILITATION REFERRED TO IN THE PUBLIC NOTICE OF SMALL ENTITEUR GRANTS TO SMES SUSPENDED OR WITH A SERIOUS FALL IN TURNOVER
Exchanges for speech research and technologies

The ESPERANTO project aims at pushing speech processing technologies to their next step in order to enable the diffusion of these technologies in European SMEs and to maximize and securize their use in the civil society for forensic, health or education. The ESPERANTO consortium forsees that the next generation of artificial intelligence algorithms for speech processing should :
1.	be more accessible : via a larger number of spoken languages, and for applications where resources are strongly limited (health, education, robotics…);
2.	integrate a human in the loop to guaranty a higher usability and ease of deployment and maintenance;
3.	be explainable in order to enable sensitive applications related to forensic or health and contribute to personal data preservation by detecting and characterizing existing biases due to the data-driven nature of current speech technologies.

ESPERANTO intends to lead the scientific community by releasing evaluation metrics, protocols and standards that will boost the development and evaluation of this new generation of algorithms.  
To achieve this ambitious goal, the ESPERANTO project gathers a large and trans-sectorial community of experts in speech related applications such as speech transcription, separation, enhancement, translation, understanding and speaker recognition and diarization to transfer knowledge, organize, produce and standardize resources with the aim of catalyzing and cross-pollenizing this area.
The main goals of the ESPERANTO project are:
- support the development of open-source tools that will encourage fast developement, exchanges and reproducibility;
- produce tutorials and competitive baselines on various topics of speech processing in order to boost the fostering of new speech-AI students, researchers and engineers;
- facilitate the collection and sharing of linguistic and speech resources through standards;
- organize workshops to progress on the speech technologies and favor tranfer of knowledge.
Determination of muon attenuation lengths in depth profiles from in situ produced cosmogenic nuclides

Abstract Cosmogenic nuclides are important tools to understand and quantify the processes that control the development and evolution of landscapes during the quaternary. Among all published studies, few are related to the accurate and precise determination of the physical parameters governing their production in the Earth’s crust surface (in situ produced cosmogenic nuclides) and its evolution as a function of depth below the Earth’s surface. Currently, it is nearly impossible to advocate global parameters that could be used worldwide. Indeed, at each sampling site, not only the geometry and the mineralogy will differ but also their evolution as a function of depth. In this paper, a new approach based on the measurement of the evolution of cosmogenic nuclide concentrations along depth profiles to determine the muon attenuation lengths is proposed. Contrarily to previous studies that used to describe both slow and fast muons, only one type of muons will be considered in this paper and nuclide accumulation at depth will be described by a single exponential. The determined attenuation length integrates the potential effect of the chemical composition of the overlying matrix and takes into account the entire energy range of the incident particles. Additionally, when denudational steady state is reached, muon contributions can be determined. When scaled to sea level, these contributions appear to be comparable for a given nuclide whatever the site where they have been determined. The average weighted muon contributions are 0.028 ± 0.004 atoms g−1 a−1 for 10Be, 0.233 ± 0.045 atoms g−1 a−1 for 26Al and 1.063 ± 0.329 atoms g−1 a−1 for 36Cl and are valid within the depth range 0–6500 g cm−2.
Cognitive control processes for mathematical learning: neurobiological facets

Mathematics is essential for functioning in the 21st century. Critically, heterogeneity of math skills is well documented, with profound consequences for educational and professional outcomes. Heterogeneity in cognitive skills is likely due to variability of several features in multiple brain systems throughout development. Yet, the characterization of these systems and their contribution to heterogeneity of math skills is still in its infancy. Building on the applicant's previous studies on functional brain plasticity during math learning, the present project combines state-of-the-art neuroimaging methods with cognitive paradigms in the context of a longitudinal design, to assess the underappreciated contribution of domain-general prefrontal brain systems to individual differences in math performance, over a critical stage of math development. This study tests the specific hypothesis that shifts in math problem-solving strategies, gradually favoring one -efficient- strategy over multiple -laborious- ones, is supported by the successful development of multiple structural and functional features of dedicated neurocognitive systems for cognitive control, anchored in the dorsal frontal-parietal cognitive control, and the insula-cingulate salience networks. Furthermore, this study tests, for the first time, the contribution of adverse environmental factors to these processes. The simultaneous investigation of biological, cognitive and environmental contributions to math performance over a critical developmental stage represents a significant step towards the early identification of individuals at risk for math deficits and propels novel ways for developing ad-hoc educational programs. Critically, this project is set to have a crucial impact on the applicant's career by broadening her theoretical and methodological skills, promoting her transition to independency, and by situating her as an international leader in a novel, interdisciplinary, translational field.
Estimating volatility persistence under a Brexit-vote structural break

We model volatility dynamics and explore volatility persistence under a supposed Brexit-vote structural break. We find that following the Brexit vote, volatility persistence increased significantly in the stock markets but decreased in the foreign exchange market. However we uncover similar patterns in the dynamics of volatility across both markets, with the post Brexit-vote news effect generally contributing less to volatility persistence. Our findings suggest that the increased post Brexit-vote volatility persistence is mainly driven by rising forecast variance from previous periods and that investors may have already priced in the news from the Brexit vote. Therefore, a Brexit-vote structural break may be irrelevant in modelling volatility dynamics.
Pseudoporphyria Associated with Nonhemodialyzed Renal Insufficiency, Successfully Treated with Oral N-Acetylcysteine

Pseudoporphyria (PP) is a relatively rare, photodistributed bullous dermatosis that resembles porphyria cutanea tarda (PCT), but it is not accompanied by porphyrin abnormalities in the serum, urine, or stool. It was initially described in renal failure patients on dialysis. Thereafter, it has been associated with several aetiological factors. We report a case of PP in a 67-year-old woman with mild renal failure, successfully treated with N-acetylcysteine. This is the second reported case of PP developing in nondialyzed chronic renal failure. Such cases support the view that renal impairment itself may play a more important aetiological role in developing PP than it was originally considered.
Susceptibility of wheat gluten to enzymatic hydrolysis following deamidation with acetic acid and sensory characteristics of the resultant hydrolysates

Abstract The effect of acetic acid and hydrochloric acid (HCl) deamidation pretreatment on the susceptibility of wheat gluten to enzymatic hydrolysis by Pancreatin and sensory characteristics of the resultant hydrolysates was investigated. At two degrees of deamidation (24% and 60%, with or without moisture-heating, respectively), wheat gluten pretreated by acetic acid deamidation was more susceptible to be hydrolyzed as evaluated by the hydrolysis degree, nitrogen solubility index, titratable acid amount and free carbohydrate content of the hydrolysates. Wheat gluten pretreated by acetic acid deamidation at a degree of 24% exhibited the highest susceptibility to enzymatic hydrolysis. Moisture-heating (121 °C, 10 min) in the deamidation pretreatment decreased the susceptibility of wheat gluten to enzymatic hydrolysis and the peptide factions of ≤3000 Da in the hydrolysates due to the formation of larger molecule weight aggregates. The hydrolysates prepared from acetic acid deamidated wheat gluten showed more intense glutamate-like and sauce-scented taste and better nutritional characteristics.
The Role of Weaving in Smart material Systems

This thesis is an investigation into woven textile structures and weave construction methodologies. The main question at the heart of this research is what are smart textiles and what role/s can weaving play in the creation of such textiles in the future? 

A critical review of the literature led to a grammatical investigation and interpretation of the term smart textiles, and as a result a key differentiator between superficial and deep responsivity in constructed textiles is made: the latter is henceforth used to describe the uniqueness of smart textiles. The thesis proceeds to explore the fundamental engineering of textiles as material systems and by doing so, provide clues as to how fabrics could themselves be considered smart. Through this exploration, an original ‘textile anatomy’ mapping tool is presented with the aim to enhance and deepen current understanding of textiles and represent them as material systems instead. 

The hybrid research methodology that governed this investigation is unique. It relies on the creative tools of Design while also inherently applies the investigative methods of Science, Technology and Engineering. Weaving is explored through processes of making as an approach to develop smart textiles following an extensive historical review revealing that although methods of weave production have much evolved, the weave structures themselves have not changed at all for thousands of years. A series of experimental case studies are presented, which seek to explore and challenge current limitations of weaving for the creation of a new generation of material systems. As part of this work, the role of additive manufacturing was challenged, but its role as substitute manufacturing technique for textiles was accordingly rejected. 

This research finds that since weaving has become solely dependent on its machines, the structures produced through these processes of manufacturing are governed by such same specifications and limitations. As a result, in order to step away from current constraints, new assembly methodologies need to be revised. This is particularly applicable within the context of future (smart) material systems, and micro and nano fabrication techniques.