SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Biogas composition from agricultural sources and organic fraction of municipal solid waste

This paper presents an overview of biogas compositions originating from agriculture and the organic fraction of municipal solid waste. An intensive data compilation was performed from literature, plant data from an EU project (Waste2Watts) and from sampling campaigns at 5 different anaerobic digesters in Switzerland. Besides reporting the major components of biogas i.e. methane and carbon dioxide, the concentration of minor components such as nitrogen and oxygen, as well as trace amounts of sulfur compounds (H2S, mercaptans, sulfides, etc.), silicon compounds (siloxanes, silanes), ammonia, halogenated compounds, and other volatile organic compounds (VOCs) are reported. These trace compounds can present a significant challenge to the energetic use of biogas, specifically in the use of novel, high-efficient processes such as high temperature fuel cells or catalytic fuel upgrading units. H2S and other sulfur compounds are the major concern, as they are abundantly found in agriculture biogas; unlike silicon compounds, which are generally exist in low or undetectable levels.
Overexpression of adenylate cyclase-associated protein 1 may predict brain metastasis in non-small cell lung cancer

This study was designed to establish a biomarker risk model for predicting brain metastasis (BM) in non-small cell lung cancer (NSCLC). The model comprises 120 cases of NSCLC that were treated and followed up for 4 years. The patients were divided into the BM (n=50) and non-BM (other visceral metastasis and those without recurrence) (n=70) groups. Immunohistochemical and western blot analyses were performed in metastatic tissues of NSCLC. Multivariate regression analysis was performed to correlate the immunoreactive cyclase-associated protein 1 (CAP1) signal with BM. Survival analyses were performed by using the Kaplan-Meier method. CAP1 protein content and immunoreactivity were significantly increased in BM specimens compared to other-metastatic specimens. The survival analysis revealed that CAP1 overexpression was significantly associated with survival (P<0.05). The ROC test suggested that the area under the curve was 73.33% (P<0.001; 95% CI, 63.5-83.2%). When P=0.466, the sensitivity and specificity reached 79.5 and 67.1%, respectively. These findings suggested that CAP1 is involved in the BM of NSCLC, and that elevated levels of CAP1 expression may indicate a poor prognosis for patients with BM. The CAP1 molecular model may be useful in the prediction of the risk of BM in NSCLC.
The relationship between social inequalities, child mental health and exposure to urban environmental stressors: an epidemiological analysis

Mental health disorders are one of the primary sources of ill health for young people, affecting up to 20% of children and adolescents worldwide. Moreover, stark social inequalities in children’s mental health exist, with those from more disadvantaged backgrounds being up to three times more likely to experience mental health problems than those more privileged.

Our understanding of the mechanisms through which childhood socio-economic circumstances (SEC) affect children’s mental health is incomplete. With three quarters of EU citizens now living in cities, attention is turning to the effects of environmental stressors such as ambient air pollution, traffic noise, and natural space on children’s development. In many cities, children from lower socio-economic backgrounds are disproportionately exposed to more harmful aspects of the urban environment. However, we do not know to what extent greater exposure or vulnerability to these stressors contributes to social inequalities in child mental health. 

URBINEX will undertake epidemiological analysis of data from over 200,000 children across 16 EU cities using the recently established EU Child Cohort Network. Cutting-edge methods in causal inference and life course epidemiology will be applied to decompose the relationship between SEC, exposure to environmental stressors and children’s mental health. The key objectives are to (i) use multi-level models to describe inequalities in mental health trajectories across childhood, (ii) use counterfactual mediation to test whether variation in exposure to urban environmental stressors mediates the relationship between SEC and mental health, and (iii) explore whether SEC and environmental stressors interact to confer additional vulnerability to mental health problems.

URBINEX has the potential to inform EU policies to bring structural changes to meet UN Sustainable Development Goals in reducing health inequalities, improving mental health and building sustainable cities.
Bismuth redox catalysis for sustainable organic synthesis

Homogeneous catalysis based on transition metals has become an indispensable strategy in the development of efficient methodologies for organic synthesis, finding application in a wide variety of processes across the chemical sciences. Inspired by the wealth of reactivity in this area, we present a proposal that departs from transition metal catalysis and aims at unlocking the potential of bismuth (Bi) as a sustainable catalyst, unravelling novel and unknown catalytic redox processes for organic chemistry. The main goal of this project is to translate the unique properties traditionally associated to transition metals to a main group element. Let-it-Bi is a quest to disclose the remarkable potential of a commonly overlooked element of the periodic table such as bismuth, in the field of catalysis and organic synthesis. Being an earth abundant, non-toxic and inexpensive element, bismuth represents an excellent candidate to be explored in catalysis and to study its fundamental reactivity. In the first part of this proposal, we describe the design of a novel Bi(III)⇄Bi(V) redox cycle towards the formation of synthetically relevant and challenging C‒C, C‒Halogen, C‒N and C‒O bonds. The last part proposes the expansion of this concept to an unprecedented Bi(I)⇄Bi(III) redox cycle. Such a unique redox system will find application in the activation of small molecules (H2, NH3, B‒H and Si‒H bonds) for the functionalization of simple and largely available olefins. In addition to provide a solution to the price, toxicity and environmental issues associated to transition metal-based transformations, this proposal aims at the exploration of uncharted territories in the area of homogeneous catalysis; thus discovering and providing novel reactivities for organic synthesis which remained elusive to date. Noteworthy, preliminary results accompany both parts demonstrating the feasibility of the proposed research.
T4P4S: A Target-independent Compiler for Protocol-independent Packet Processors

Although the programmability of control planes has been thoroughly examined in the past years, only a limited number of studies go beyond the consideration that the data plane is only a collection of simple packet forwarding devices. Even OpenFlow, a popular, very expressive data plane programming language, is still restricted to supporting a subset of existing protocol headers. To overcome such limitations, new data plane programming models have recently emerged. One of the them is P4, a high-level language for programming packet processors that enables great flexibility in the description of packet structures and processing pipelines. In this paper, we propose T4P4S11T4P4S stands for Translator for P4 Switches and its implementation is available at https://github.com/P4ELTE/t4p4s., a multi-target compiler generating high performance switch programs from P4 descriptions. To support multiple targets, a networking hardware abstraction layer (NetHAL) is defined; the compiler generates a core switch code which is then linked with a target-specific NetHAL implementation. To avoid performance degradation, the boundaries of this separation should be chosen carefully, since the core program is only responsible for target-independent optimization, while the implementation of NetHAL should cover target-dependent enhancements. To analyze the performance, thorough measurements have been carried out, showing that the switch generated by T4P4S can easily scale beyond 100 Gbps.
Factors predicting the cumulative outcome of IVF/ICSI treatment: a multivariable analysis of 2450 patients

Knowing predictors of pregnancy in IVF is helpful for clinicians to individualize the treatment plans and improve patient counseling and for patients to decide whether to undergo infertility treatment. The aim of the study was to identify independent predictors of the chance of clinical pregnancy after a completed IVF/ICSI cycle (fresh plus cryopreserved embryos transferred from one stimulated cycle) and to compare the predictive value of important predictors identified.This was a single center, retrospective study of 2450 infertile women undergoing their first IVF treatment between 2002 and 2007. A bootstrapping stepwise variable selection algorithm was performed to identify independent predictors of clinical pregnancy chance from a list of 27 candidate variables. Multivariable logistic regression was used for assessing the effects of predictors. Proportion of explained variation analysis and concordance index were adopted to compare the predictive value of factors.The following nine independent predictors were included in the final multivariable model: total number of good-quality embryos, total number of embryos, age, antral follicle count, fertilization rate, duration of infertility, endometrial thickness, number of 10-14-mm follicles and progesterone level on the day of hCG injection. The model was cross-validated internally in the training data and validated externally in an independent data with robust performance. The stratified analysis demonstrated that the total number of good-quality embryos was a better predictor of clinical pregnancy chance after a completed IVF/ICSI cycle than age for women <40 years, whereas age was a better predictor for women ≥ 40 years. The restricted cubic spline analysis revealed the relationship between the total number of good-quality embryos and log-odds of achieving a clinical pregnancy was nonlinear.Quality and quantity of the whole embryos are the two most important predictors of the cumulative outcome in IVF/ICSI among independent predictors indentified. The importance of embryo quality on cumulative outcome in IVF/ICSI increases with increasing age.
SUBSÍDIO PARA O SERVIÇO DE FÉRIAS ALEKSANDER WOŁOTOWSKI PARA FINANCIAR E FORNECER SEUS NEGÓCIOS EM CURSO

O PROJETO PRESSUPÕE SUBVENÇÕES PARA O SERVIÇO DE FÉRIAS DA EMPRESA ALEKSANDER WOŁOTOWSKI, QUE SOFREU EM RESULTADO DA PANDEMIA DE COVID-19. DEVIDO À PANDEMIA, O VOLUME DE NEGÓCIOS DA EMPRESA CAIU PARA QUASE ZERO. A SUBVENÇÃO GARANTIRÁ A MANUTENÇÃO DAS ATIVIDADES DA EMPRESA PARA SETEMBRO, OUTUBRO, NOVEMBRO DE 2020 (01/09-30/11/2020)
COOKED MEAT PRODUCTION AND PACKAGING PROJECT

WHICHEVER IS THE CASE, MR DELISE, COMPANY, IS ACTIVE IN THE PROCESSING AND FOOD SECTOR, NAMELY IN THE PREPARATION OF FRESH FOODS WHICH ARE COOKED ON A COLD, CHILLED AND CONSUMABLES FROM THE END USER AFTER A BRIEF HEATING. THIS IDEA THAT IS ON THE BASIS OF THE CONSTITUTION OF THE FORMER COMPANY BECAME THE PRODUCTION OF COOKED MEAT USING BROWN MEAT USING THE SMALL AND LARGE-SCALE DISTRIBUTION CHANNELS. WHOLE COOKED, FREE FROM HARMFUL INGREDIENTS AND GLUTEN-FREE AND CONSUMABLE PRODUCTS
Optimal Design of a Cable-Driven Parallel Mechanism for Lunar Takeoff Simulation

The technology of taking off from the lunar is of great importance for the returning of spacecraft from lunar. To verify the stability of spacecraft when taking off lunar, the force state of the spacecraft needs to be simulated accurately. Traditional simulation mechanisms are unable to meet the simulation requirements of lunar takeoff. A 6-DOF lunar takeoff simulation device with nine cables is introduced and optimized in this paper. Firstly, the dynamic workspace of cable-driven parallel mechanism, which under the condition that the quality, the vertical acceleration and the horizontal acceleration are 15 kg, 2.4 m/s2 and ±1.1 m/s2 respectively, is analyzed when the acceleration requirements of simulation mechanisms is taken into consideration. Then the installation positions of cables are investigated in detail based on experimental design method and response surface method to achieve optimization results that could get the maximum dynamic workspace. Moreover, the virtual prototype experiment based on the multi-body dynamics model is utilized to verify the accuracy of the optimized results.
Effects of Oral Iron(III) Hydroxide Polymaltose Complex Supplementation on Hemoglobin Increase, Cognitive Function, Affective Behavior and Scholastic Performance of Adolescents with Varying Iron Status

To assess the effects of iron supplementation on iron status, cognitive function, affective behavior and scholastic performance in adolescents with varying iron status.Adolescents of both sexes with varying iron status were allocated to four treatment groups by using inclusion criteria. Three of the four groups (iron deficient anemic, iron deficient and control supplement) received iron(III) hydroxide polymaltose complex (IPC, Maltofer) containing 100 mg of elemental iron 6 days a week for 8 months, while the fourth group (control placebo) was given a placebo. Hematological parameters, cognitive function, affective behavior and scholastic performance were assessed at baseline, 4 months and 8 months of supplementation.Cognitive and scholastic performance test scores for the three supplemented groups increased from baseline to 4 months and from 4 months to 8 months (with concomitant increases in hematological parameters), whereas no increase was observed in the placebo group. No increase was seen in affective behavior scores for any of the groups during or after supplementation.IPC supplementation for eight months yielded significant improvements in cognitive function and scholastic performance in Indian adolescents with and without iron deficiency and anemia.
Capillary force pumping fluid for glucose oxidase enzymatic fuel cells

Micro-fluidic channel plate for self-pumping glucose oxidase enzymatic fuel cell was designed and fabricated. Fuel was driven into the fuel cell by a capillary force without any extra pump. Fuel cell structure design included both end plates and micro-fluidic flow channel plate. Three reservoirs are fabricated onto the end plate. According to the experimental analysis, the cathode and anode flow rate were less than ideal flow rate. Anode and cathode flow rate were 0.499 µl.s−1 and 0.764 µl.s−1, respectively. And the capillary driven liquid efficiency of anode and cathode flow field was 36 % and 53 %, respectively. The result of Tafel test for self-pumping fluid enzymatic fuel cell showing a power output 0.534 mW.cm−2 (111.217 mW.cm−3) was achieved. Comparing to the active pumping method, the passive (self-pumping) method showed a lower output power. However, the current output performance of long term experiments at a constant voltage of 0.42 V indicated that the self-pumping fluid enzymatic fuel cell may work stably under a continuous fuel supply. It provides a solution for bio-pumping power source different from current power generators.
Linking transcription factor binding dynamics to promoter output

Transcription is a stepwise process that is inherently dynamic. Different types of transcription factors are continuously interacting off and onto DNA, ""searching"" for appropriate interactions - each bringing different functions into play. The rates with which these factors interact with chromatin, their association and dissociation rates, dictate the outcome of ""steady-state"", developmental and rapidly responsive regulatory programs. Given the central role of transcription factors in biology and disease, it is remarkable that we know next to nothing about the dynamics of transcription factor-chromatin interactions.

The objective of DynaMech is to implement technologies that will allow us to measure transcription factor binding dynamics (on- and off-rates) genome-wide, at binding site resolution. This will be applied to gain a systematic understanding of how these dynamics effect the function of transcription factors. Analyses will encompass components of the RNA polymerase II pre-initiation complex in yeast, as well as a comprehensive set of gene-specific transcription factors. For each of these factors we will determine the on- and off-rates genome-wide as well as the degree to which the mRNA synthesis rates from all promoters are dependent on the factor. This data will all be analysed in the context of nucleosome binding dynamics to understand the general principles of how chromatin-transcripton factor binding dynamics shape regulatory mechanisms.  Through modelling promoter output and by additional perturbations, these principles will be explored to understand which properties of regulatory DNA determine differential transcription factor dynamics thereby causing differential promoter behaviour.

We are as yet far from predicting regulatory outcome from regulatory sequence. The long-term aim of this work is to bring this closer, by bringing into play the almost completely unexplored aspect of transcription factor-chromatin interaction dynamics.
Neighborhood Socioeconomic Status and Influenza Hospitalizations Among Children: New Haven County, Connecticut, 2003–2010

Objectives. We examined surveillance data for disparities in pediatric influenza-associated hospitalizations according to neighborhood socioeconomic status (SES) measures in New Haven County, Connecticut. Methods. We geocoded influenza-associated hospitalization case data from the past 7 years for children from birth to age 17 years and linked these to US Census 2000 tract-level SES data. Following the methods of Harvard's Public Health Disparities Geocoding Project, we examined neighborhood SES variables, including measures of poverty and crowding. We calculated influenza-associated hospitalization incidence by influenza season and individual case characteristics, stratified by SES measures. Results. Overall, the mean annual incidence of pediatric influenza-associated hospitalization in high-poverty and high-crowding census tracts was at least 3 times greater than that in low-poverty and low-crowding tracts. This disparity could not be fully explained by prevalence of underlying conditions or receipt of influenza vaccination. Conclusions. Linkage of geocoded surveillance data and census information allows for ongoing monitoring of SES correlates of health and may help target interventions. Our analysis indicates a correlation between residence in impoverished or crowded neighborhoods and incidence of influenza-associated hospitalization among children in Connecticut.
Aesthetic Experiences, Ancient and Modern

The essay argues that ancient authors provide fascinating material for the re-awakened interest in aesthetic experience. Their emphasis on the immersive power of art can stimulate an aesthetic theory that tries to recover from the diet prescribed by poststructuralism, Critical Theory and the mainstream of analytical philosophy. Exemplary readings of an archaic epic, the Odyssey , and a late antique novel, the Ethiopica , drive home that narrative is more than a means of representation (as opposed to presence); it also has the capacity to trigger experiences in its recipients. While highlighting the spell that narrative can cast on its recipients, Homer and Heliodorus remain aware of the “as-if” that distinguishes aesthetic experiences from real-life experiences. Of course, the meditations of ancient authors do not fully map onto our current debate. Yet, it is the very chasm that allows ancient texts to cast light on present concerns, as an attempt to mediate between the caveats of historical semantics and the transhistorical claims of phenomenology shows
Increase the competitiveness of the company by implementing elements for the construction of ventilation ducts in the production in response to the threats posed by the COVID-19 pandemic.

The draft is a response from the Applicant to the situation related to the SARS-COVID-19 pandemic. As part of the project, it is planned to purchase a production line enabling implementation of product innovation and implementation of non-technological innovation.
Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings

Abstract Climate and energy targets, as well as decreasing costs have been leading to a growing utilization of solar photovoltaic generation in residential buildings. However, even in buildings with the same level of yearly generation and consumption the mismatch between the demand and photovoltaic generation profiles leads to large power flows between the household and the grid. Such situation creates problems to the electrical grid management and can be a source of economic losses to the end-user. This paper presents an energy storage system designed in the context of residential buildings with photovoltaic generation. The objective of such system is to increase the matching between the local generation and consumption, as well as to decease the energy bill, using lithium-ion batteries as a storage device. Such system was modelled and simulated using real data of solar radiation and energy consumption from a typical residential household in Coimbra (Portugal). The results show that the designed system was able to reduce the energy sent to and consumed from the grid in 76% and in 78.3%, respectively, as well as the energy bill in 87.2%.
Café GELATERIA COLOMBO DI ROSSI FABRIZIO & C. S.A.S.

LA INTERVENCIÓN SE REFIERE A LA ADQUISICIÓN DE MAQUINARIA ESPECÍFICA PARA LA PRODUCCIÓN DE PASTELERÍA SECA QUE SE INDICA A CONTINUACIÓN: AMASADORA, HORNO, 2 CELDAS DE LEVADURA, CAPUCHA, AMASADORA, LAVAVAJILLAS Y NEVERA PARA ALMACENAR PRODUCTOS. POR LA PARTE DE LA BARRA, POR OTRO LADO, LA INVERSIÓN REALIZADA EN CUESTIÓN Y SE REFERIRÁ A LA COMPRA: UNA MÁQUINA DE CAFÉ ALTAMENTE INNOVADORA Y DOS PLATOS PARA EL CALENTAMIENTO DE ALIMENTOS. LA INVERSIÓN ES PARA QUE ALGUNOS ELEMENTOS AÚN SE REALICEN.
Synergistic Effects of Human Milk Nutrients in the Support of Infant Recognition Memory: An Observational Study

The aim was to explore the relation of human milk lutein; choline; and docosahexaenoic acid (DHA) with recognition memory abilities of six-month-olds. Milk samples obtained three to four months postpartum were analyzed for fatty acids, lutein, and choline. At six months, participants were invited to an electrophysiology session. Recognition memory was tested with a 70-30 oddball paradigm in a high-density 128-lead event-related potential (ERP) paradigm. Complete data were available for 55 participants. Data were averaged at six groupings (Frontal Right; Frontal Central; Frontal Left; Central; Midline; and Parietal) for latency to peak, peak amplitude, and mean amplitude. Difference scores were calculated as familiar minus novel. Final regression models revealed the lutein X free choline interaction was significant for the difference in latency scores at frontal and central areas (p < 0.05 and p < 0.001; respectively). Higher choline levels with higher lutein levels were related to better recognition memory. The DHA X free choline interaction was also significant for the difference in latency scores at frontal, central, and midline areas (p < 0.01; p < 0.001; p < 0.05 respectively). Higher choline with higher DHA was related to better recognition memory. Interactions between human milk nutrients appear important in predicting infant cognition, and there may be a benefit to specific nutrient combinations.