SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
The psychiatric vulnerability gene CACNA1C and its sex-specific relationship with personality traits, resilience factors and depressive symptoms in the general population

Genome-wide association studies have reported an association between the A-allele of rs1006737 within CACNA1C and affective disorders and schizophrenia. The aim of the present study was to investigate the relationship between rs1006737 and established and potential endophenotypes for these disorders in a population-based cohort of 3793 subjects, using an analytical method designed to assess a previously reported sex-specific effect of CACNA1C. The investigated endophenotypes included personality traits and resilience factors. At 10-year follow-up, subjects were screened for depressive symptoms. All subjects were genotyped for rs1006737. The direction of the effect and mode of inheritance of rs1006737 differed between the sexes. In men, the A-allele was associated with higher emotional lability and lower resilience, that is, lower sense of coherence (P=0.021), lower perceived social support (P=0.018), lower dispositional optimism (P=0.032) and more depressive symptoms at follow-up (P=0.007). In women, the A-allele was associated with lower emotional lability and stronger resilience, that is, higher sense of coherence (P=0.00028), higher perceived social support (P=0.010), lower neuroticism (P=0.022) and fewer depressive symptoms at follow-up (P=0.035). After conservative Bonferroni correction for 32 tests, results only remained significant for sense of coherence in women (P=0.009). These results suggest that CACNA1C is involved in the genetic architecture of endophenotypes for affective disorders and schizophrenia, and that it shows a distinct sex-specific effect. Comprehensive phenotype characterization in case-control samples and the general population, as well as an adequate modeling of sex-specific genetic effects, may be warranted to elucidate the pathogenetic mechanisms conferred by robustly identified susceptibility genes.
A Meta-Analysis of Concurrent Chemoradiotherapy for Advanced Esophageal Cancer

Concurrent chemoradiotherapy is a standard treatment for local advanced esophageal cancer, but the outcomes are controversial. Our goals were to compare the therapeutic effects of concurrent chemoradiotherapy and radiotherapy alone in local advanced esophageal cancer using meta-analysis.MEDLINE, EMBASE and the Cochrane library were searched for studies comparing chemoradiotherapy with radiotherapy alone for advanced esophageal cancer. Only randomized controlled trials were included, and extracted data were analyzed with Review Manager Version 5.2. The pooled relative risks (RR) and their 95% confidence intervals (CI) were calculated for statistical analysis.Nine studies were included. Of 1,135 cases, 612 received concurrent chemoradiotherapy and 523 were treated with radiotherapy alone. The overall response rate (complete remission and partial remission) was 93.4% for concurrent chemoradiotherapy and 83.7% for radiotherapy alone (P = 0.05). The RR values of 1-year, 3-year, and 5-year survival rates were 1.14 (95% CI: 1.04 - 1.24, P = 0.006), 1.66 (95% CI: 1.34 - 2.06, P < 0.001), and 2.43 (95% CI: 1.63 - 3.63, P < 0.001), respectively. The RR value of the merged occurrence rate of acute toxic effects was 2.34 (95% CI: 1.90 - 2.90, P <0.001). There was no difference in the incidence of late toxic effects, which had an RR value of 1.21 (95% CI: 0.96 - 1.54, P = 0.11). The RR level of persistence and recurrence was 0.71 (95% CI: 0.62 - 0.81, P <0.001), and for the distant metastasis rate, the RR value was 0.79 (95% CI: 0.61 - 1.02, P = 0.07).Concurrent chemoradiotherapy significantly improved overall survival rate, reduced the risk of persistence and recurrence, but had little effect on the primary tumor response, and increased the occurrence of acute toxic effects.
The Relationship between Venue Indoor Air Quality and Urinary Cotinine Levels among Semiopen-Air Café Employees: What Factors Determine the Level of Exposure?

Exposure to second-hand smoke (SHS) is increasingly recognized as an occupational hazard to workers in the service industry. In areas of the world with moderate climates, open windows and doors are assumed to provide a work environment with only marginally increased exposures to SHS.We measured indoor fine particulate matter (PM2.5) in 50 semiopen air venues in Greece during the summer. Cotinine levels from a nonsmoking employee of each of these venues were measured from a postshift urine sample.In these semiopen-air venues, the mean level of indoor PM 2.5 levels were 113.5 ± 72.3 μg/m(3). The mean postshift urinary cotinine levels of nonworking workers in these venues was 15 ng/mL. PM2.5 levels were strongly correlated with urinary cotinine concentrations (Spearman's r = 0.914). Linear regression analyses indicated that when taking into account the time of the measurement, the day of the week, for each 1 cigarette/100 m(3) the indoor PM2.5 concentrations increased by 26.6 μg/m(3) [95% confidence interval (CI): 7.6-45.7 μg/m(3), p = 0.007) and urinary cotinine levels of nonsmoking workers increased by 5.0 ng/mL (95% CI: 0.4 to 9.6, p = 0.034).In a sample of bars and restaurants with windows and doors open, indoor PM2.5 concentrations were elevated and increased proportionately to the density of smoking. Cotinine levels of nonsmoking employees increased with indoor PM2.5 concentrations, and also with the density of smoking. Open windows and doors do not protect workers from exposure to second-hand smoke.
Betriebskapitalzuschuss für TARTAK Zębowo GmbH mit beschränkter Haftung

Das Projekt betrifft die Unterstützung des Unternehmers bei der Bereitstellung finanzieller Liquidität und die Unterstützung laufender Tätigkeiten aufgrund finanzieller Schwierigkeiten, die der Unternehmer infolge des COVID-19-Ausbruchs erlebt hat. Finanzielle Unterstützung im Rahmen des Programms SA.57015 (2020/N)
Off-task multitasking, note-taking and lower- and higher-order classroom learning

Abstract We examined whether multitasking via concurrent off-task text messaging during an academic presentation impacted students’ performance on tests assessing lower-order and higher-order learning. College students (N = 183) were assigned to one of two conditions involving either concurrent texting or not texting during an academic presentation, or to a no presentation condition. Students in presentation conditions were encouraged to take hand-written notes. Between-participants analyses revealed that students who saw the presentation performed better on learning measures than the control group who did not see the presentation, indicating that students did learn from the presentations. Non-texters scored significantly higher than texters on multiple choice tests of factual, lower-order information (e.g., knowledge, comprehension), but not on essays requiring higher-order application, analysis, evaluation, and synthesis of information. Within-participants analyses demonstrated that texters performed more poorly on lower-order questions that were based on information presented at times when they were texting. Non-texters took more quality notes than texters; amount of quality notes was positively related to test scores of all types. The amount of quality notes taken partially mediated the relationship between texting condition and multiple choice test scores. It appears that multitasking with media devices during an academic presentation interferes with note-taking and the encoding of information specific to the presentation.
Biocascades- sustainable and scalable biocatalytic cascade reactions training network

In BIOCASCADES, nine early-stage researchers (ESRs) will investigate the development of sustainable (chemo)enzymatic cascade reactions under the ‘green chemistry’ philosophy. The proposed BIOCASCADES project combines different techniques such as compartmentalization, protein engineering and reaction engineering in order to develop commercially viable and environmentally benign one pot reactions. By avoiding intermediate downstream- and purification-steps, cascade reactions minimize production costs, energy demand and waste production and are  thus expected to make a major contribution for the development of sustainable and efficient production processes.

Small- and medium sized enterprises (SMEs) are emerging as main drivers of European Research. They are dynamic, explore new areas and create new ideas, while large companies rely more and more on outsourcing research or involving SMEs by joint ventures. However, small companies are not strong enough as stand-alone enterprises, which requires them to form networks with other SMEs and academia. This creates a strong demand for young researchers who can move freely in an international and interdisciplinary environment. In a tailor-made training program BIOCASCADES aims to provide the nine early stage researchers with specific scientific and transferable skills for careers in the highly dynamic European biotechnology sector. Training at leading laboratories of biocatalysis will develop their scientific skills, while secondments to the industry and specific workshops will develop their entrepreneurship. The graduates of this doctorate program will be highly qualified for collaborative research between European academia and industry. 

The consortium is formed by leading academic laboratories from biocatalysis and protein engineering together with a network of four innovative biotech companies. By combining their versatile expertise, the consortium can achieve a success that would not be possible in isolated projects.
Multi-Layered security technologies to ensure hyper connected smart cities with blockchain, bigdata, cloud and iot

IoT systems today tend to be built around the concept of IoT/cloud convergence, integrating heterogeneous data streams within cloud infrastructures, and thus benefiting from the scalability, performance and capacity of the cloud. This approach is very efficient for some IoT applications such as big data processing problems. However, these architectures promote a centralized data collection and processing approach, which introduces several limitations in terms of supported applications and business models that they enable.
The main goal of M-Sec project is to empower IoT stakeholders to develop, deploy and operate novel IoT applications based on a scalable highly decentralized paradigm, which facilitates incentivized peer-to-peer interactions between objects and people. The project will explore semantically interoperable interactions between people/objects according to a given social context, beyond their simple peer-to-peer information exchange and internetworking. Overall, the M-Sec paradigm will enable the introduction and implementation of specific classes of applications and services that are not efficiently supported by state-of-the-art architectures.
The M-Sec project will deliver a set of concrete and added value main results:
1. M-Sec distributed, self-organized, robust and trusted IoT infrastructure that empowers IoT stakeholders to develop, deploy and operate novel multipurpose IoT applications for smart cities on top of smart objects.
2. An open IoT market of applications, data and services that provides the framework upon which objects and people can exchange value and defines the motivation incentives for humans and smart objects to interact.
3. A sustainable ecosystem of stakeholders, roles, tools and infrastructures upon which new entrants and other players can build and experiment with the future application services.
4. A parameterized model on how to replicate the M-Sec approach further and guarantee its return of investment and benefits.
Enhancing the innovation management capacity of sme’s – new enterprise europe network services for the smes in four regions of the southern poland

The general objective of the project is to contribute to smart growth of Southern regions of Poland by increasing the efficiency and effectiveness of investments in innovation and by contributing to more efficient connection of links along the innovation chain and by this – to contribute to the smart EU growth. The specific objectives of the project are: efficient management of the relation between SME (beneficiary of the SME Instrument) and the coach in purpose to increase the number of projects financed within Horizon 2020 programme completed with a successful commercialization and development of regional SME innovation management capacity: by carrying out innovation management gap analysis, development of the tailored action plan for increasing the effectiveness and efficiency of their innovation management system and implementation of the targeted actions to address bottlenecks and weak points between the innovation capabilities and innovation goals. The objectives will be achieved by performing two kinds of 7-days service packs: Key Account Manager and Enhancing SME innovation management capacity, based on the common for the whole Enterprise Europe Network standard, compliant with European Innovation Management standards - CEN/TS 16555:1(2013). The project is relevant to the Work Programme in Horizon 2020 and helps to overcome lack of capacity in innovation management, recognised as an important barrier in creating economic impact on innovation activities in SMEs. The project is addressed to the specific challenge and scope of the topic, as set out in the Work Programme and offers mentoring and coaching services to beneficiaries who need this help. The project will make SMEs high quality innovation support services available where these are absent or unaffordable on local markets. The project aims at support projects with an European dimension that lead to radical changes in how business (product, processes, services, marketing etc.) is done.
The different growth pathways of Brightest Cluster Galaxies and the Intra-Cluster Light

We study the growth pathways of Brightest Central Galaxies (BCGs) and Intra-Cluster Light (ICL) by means of a semi-analytic model. We assume that the ICL forms by stellar stripping of satellite galaxies and violent processes during mergers, and implement two independent models: (1) one considers both mergers and stellar stripping (named {\small STANDARD} model), and one considers only mergers (named {\small MERGERS} model). We find that BCGs and ICL form, grow and overall evolve at different times and with different timescales, but they show a clear co-evolution after redshift $z \sim 0.7-0.8$. Around 90\% of the ICL from stellar stripping is built-up in the innermost 150 Kpc from the halo centre and the dominant contribution comes from disk-like galaxies (B/T$<$0.4) through a large number of small/intermediate stripping events ($M_{strip}/M_{sat}<0.3$). The fractions of stellar mass in BCGs and in ICL over the total stellar mass within the virial radius of the halo evolve differently with time. At high redshift, the BCG accounts for the bulk of the mass, but its contribution gradually decreases with time and stays constant after $z\sim 0.4-0.5$. The ICL, instead, grows very fast and its contribution keeps increasing down to the present time. The {\small STANDARD} and the {\small MERGERS} models make very similar predictions in most of the cases, but predict different amounts of ICL associated to other galaxies within the virial radius of the group/cluster other than the BCG, at $z=0$. We then suggest that this quantity is a valid observable that can shed light on the relative importance of mergers and stellar stripping for the formation of the ICL.
The first indoor grow light control solution to optimise photosynthetic processes in plants by dramatically cutting energy costs

At Laava Tech, we are determined to make vertical farming a profitable and sustainable business to feed the increasing population in growing urban areas. It is crucial for vertical farmers to save energy and cut down on lighting costs, since the vast majority of their revenues are used to pay the electricity bill. As a result, only very few vertical farms are profitable today. Our solution, FarMind is an entirely new LED Grow Light System based on AI, capable of adjusting the light emitted by each LED light of a farm to match the exact needs of the plant lit underneath. FarMind reduces the lighting energy bill of vertical farms by up to 75% (vs LED grow lights), whilst increasing crop yields by up to 20%. Unlike other LED grow light technologies, which focus on light efficiency and crop optimisation, FarMind focuses on the real photosynthetic need of the plant. FarMind will revolutionise the vertical farming industry by vastly increasing its profitability. We will provide a drop-in solution, compatible with the existing infrastructure for our customers, indoor farmers. Our main revenue model will be based on providing FarMind as a service to leading farms. Our model will not only allow farmers continued access to the best technology, but also give them an immediate return on investment. Thanks to FarMind, vertical farming will be able to overcome its final growing pain to transition from niche solution to leading urban supplier of sustainably produced fruit and vegetables.
LITHOGRAPHY-FRIENDLY LOCAL READ CIRCUIT FOR NAND FLASH MEMORY DEVICES AND MANUFACTURING METHOD THEREOF

A flash memory device comprising a local sensing circuitry is provided in a hierarchical structure with local and global bit lines. The local sensing circuitry comprise read and pass circuits configured to sense and amplify read currents during read operations, wherein the amplified read signals may be passed to a global circuit via the local and global bit lines.
Prosody cues for classification of the discourse particle "hã" in hindi

In Hindi, affirmative particle ha carries out a variety of discourse functions. Preliminary investigation has shown that though it is difficult to disambiguate these different functions, there seems to be a distinct prosodic pattern associated with each of these. In this paper, we present a corpus study of spoken utterances of the Hindi word ha. We identify these prosodic patterns and capture the specific pitch variations associated with each of the various functions. We also examine the use of prosodic cues in classification of the utterances into different functions using k-means clustering. While certain amount of speaker dependency, as well as lack of contextual and lexical information resulted in high classification entropy, however, the results were consistent with comparable studies in other languages.
Light-activation of the Archaerhodopsin H+-pump reverses age-dependent loss of vertebrate regeneration: sparking system-level controls in vivo

Summary Optogenetics, the regulation of proteins by light, has revolutionized the study of excitable cells, and generated strong interest in the therapeutic potential of this technology for regulating action potentials in neural and muscle cells. However, it is currently unknown whether light-activated channels and pumps will allow control of resting potential in embryonic or regenerating cells in vivo. Abnormalities in ion currents of non-excitable cells are known to play key roles in the etiology of birth defects and cancer. Moreover, changes in transmembrane resting potential initiate Xenopus tadpole tail regeneration, including regrowth of a functioning spinal cord, in tails that have been inhibited by natural inactivity of the endogenous H+-V-ATPase pump. However, existing pharmacological and genetic methods allow neither non-invasive control of bioelectric parameters in vivo nor the ability to abrogate signaling at defined time points. Here, we show that light activation of a H+-pump can prevent developmental defects and induce regeneration by hyperpolarizing transmembrane potentials. Specifically, light-dependent, Archaerhodopsin-based, H+-flux hyperpolarized cells in vivo and thus rescued Xenopus embryos from the craniofacial and patterning abnormalities caused by molecular blockade of endogenous H+-flux. Furthermore, light stimulation of Arch for only 2 days after amputation restored regenerative capacity to inhibited tails, inducing cell proliferation, tissue innervation, and upregulation of notch1 and msx1, essential genes in two well-known endogenous regenerative pathways. Electroneutral pH change, induced by expression of the sodium proton exchanger, NHE3, did not rescue regeneration, implicating the hyperpolarizing activity of Archaerhodopsin as the causal factor. The data reveal that hyperpolarization is required only during the first 48 hours post-injury, and that expression in the spinal cord is not necessary for the effect to occur. Our study shows that complex, coordinated sets of stable bioelectric events that alter body patterning—prevention of birth defects and induction of regeneration—can be elicited by the temporal modulation of a single ion current. Furthermore, as optogenetic reagents can be used to achieve that manipulation, the potential for this technology to impact clinical approaches for preventive, therapeutic, and regenerative medicine is extraordinary. We expect this first critical step will lead to an unprecedented expansion of optogenetics in biomedical research and in the probing of novel and fundamental biophysical determinants of growth and form.
Generalization in mind and machine

Is the human mind a symbolic computational device?  This issue was at the core Chomsky’s critique of Skinner in the 1960s, and motivated the debates regarding Parallel Distributed Processing models developed in the 1980s. The recent successes of “deep” networks make this issue topical for psychology and neuroscience, and it raises the question of whether symbols are needed for artificial intelligence more generally.

One of the innovations of the current project is to identify simple empirical phenomena that will serve a critical test-bed for both symbolic and non-symbolic neural networks. In order to make substantial progress on this issue a series of empirical and computational investigations are organised as follows.  First, studies focus on tasks that, according to proponents of symbolic systems, require symbols for the sake of generalisation. Accordingly, if non-symbolic networks succeed, it would undermine one of the main motivations for symbolic systems.  Second, studies focus on generalisation in tasks in which human performance is well characterised. Accordingly, the research will provide important constraints for theories of cognition across a range of domains, including vision, memory, and reasoning.  Third, studies develop new learning algorithms designed to make symbolic systems biologically plausible.  One of the reasons why symbolic networks are often dismissed is the claim that they are not as biologically plausible as non-symbolic models.  This last ambition is the most high-risk but also potentially the most important: Introducing new computational principles may fundamentally advance our understanding of how the brain learns and computes, and furthermore, these principles may increase the computational powers of networks in ways that are important for engineering and artificial intelligence.