SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
(14508.17092020.172000252) RESTART

THE COMPANY? BARTOLI PACKAGING S.R.L., IN CONTINUOUS EVOLUTION AND ALWAYS ACTIVE IN ITS FIELD, HAS SUPPORTED IMPORTANT INVESTMENTS WITHIN ITS REGISTERED OFFICE AIMED AT ENSURING A SAFE RESTART OF ITS ACTIVITIES? AND A DEVELOPMENT IN LINE WITH THE EVOLUTION OF THE MARKET.
Regional Financial Harmonious Development and Analysis of Weakest Link Effect

Regional financial harmonious development not only concerns the coordination of financial system itself in narrow sense,but also indicates the coordinated development of financial system,economic system and social system in broad sense.To some extent,such development is an interaction and dynamic adaptive process between finance and the other eight forces,namely economic force,cultural force,labor force,science technology force,infrastructure force,opening-up force,agglomeration force and environmental force.For lack of quantitative studies on financial harmony,the paper conducts a quantitative analysis on the regional financial development in terms of both displayable indices and explanatory indices and reveals the coordinated development of financial system from the angle of narrow sense and broad sense respectively.It provides references to the establishment of a paradigm of quantitative studies on financial harmony and the analysis of weakest link effects of regional financial harmonious development.
Young Entrepreneurs Startup School

Thanks to YESS Project, the first Cross-Border (CB) incubator within the Regions of Apulia, Achaia, Ionian Islands and Epirus has been created: an innovation pole focused on the creation and incubation of new companies operating in tourism, design, blue growth and e-health.

 
The Incubator provides most of its services both through a physical and a virtual environment, and will foster new business ideas, encouraging the co-design and cooperation within students, researchers, start-uppers and entrepreneurs, maximizing the benefits of the Web 

2.0 technologies and using an open access innovation approach. Within the project a pitch event will be organized in each Country, where the most interesting ideas an business plans will be presented to investors and other targeted stakeholders.

But YESS it is not only an Incubator, in fact it promotes the entrepreneurial spirit and culture in young people. Along project lifetime several actions are foreseen: sensitization and dissemination events, specific courses and webinars for wannabe start-uppers, a CB business game competition for students of secondary schools, and a CB summer school on “Digital Transformation”.
Eating patterns in pregnancy: unraveling the underlying neurocircuits and its deleterious metabolic consequences

Pregnancy entails remarkable whole-body biological adaptations. Extensive evidence in humans shows significant alterations in taste perception and nutrient preference throughout pregnancy, resulting in frequent food cravings with a recurrent search for high-caloric, high-palatable foods. However, the underlying neurocircuits implicated in specific pregnancy-related eating disturbances are still unknown. In line with that, the project hypothesizes that pregnancy modifies the neuroconnectome of critical brain regions implicated in taste and ingestive behavior, altering maternal dietary preferences and habits favoring the consumption of high-palatable food. The persistence of abnormal dietary patterns, in the prevailing western life-style, may underlie serious detrimental metabolic and neuropsychological outcomes in both mothers and offspring that often lead to eating disorders and obesity vulnerability. The project aims to use a combination of cutting-edge methodologies in the mouse, including behavioral, whole-brain imaging, chemogenetics, and fiber photometry to establish the genetic and neurocircuits underlying pregnancy-related eating behaviors and its effects on offspring's metabolic health. The present proposal will provide novel insights on the link between specific physiological conditions (gestation), feeding neurocircuits and behavior as well as transgenerational metabolic and neuropsychological impact, unraveling new preventive strategies (nutritional and healthier lifestyle) to control the rising incidences of “food addiction”, disturbed eating patterns, and obesity predisposition. Ultimately, the knowledge generated by NEUROPREG can reduce overall costs in obesity and related disorders, that consumes more than $1.2 trillion of the global health system every year. My outstanding scientific experience in neuroscience and maternal influences on offspring metabolic outcomes make me the ideal candidate to develop this MSCA.
Transferring activomics into the clinical setting

Transferring Activomics into the Clinical Setting (TACTICS). Advancing our proprietary biomarker discovery tool, Activomics, into the clinical laboratory represents an exciting milestone in the introduction of this disruptive technology to the global diagnostics market. Unlike current protein-concentration focussed diagnostics, such as ELISA and MS proteomics, our approach switches the emphasis towards the enzymatic activities of a subset of these proteins, vital cell-signalling enzymes inextricably linked to disease and its progression. We have developed highly sensitive methods to detect Activomic biomarkers in blood. Screening of sera obtained from large patient cohorts led us to identify a novel Activomic biomarker that can differentiate IBD (Inflammatory Bowel Disease) patients from healthy and unhealthy controls with high accuracy (86%) and sensitivity (86%). This first effective serological marker for IBD promises to be a major breakthrough in the diagnostics and/or prognostics of this debilitating disease that counts millions of sufferers worldwide. In Europe alone, over 1 million people currently have the disease, bringing with it a major toll on public health and a concomitant heavy economic burden for the healthcare system and taxpayer. Better diagnosis and targeted therapy of IBD would reduce suffering and costs alike. We participate in this call in order to achieve this goal, allowing us to devise a comprehensive business plan that will act as a roadmap to bring our biomarker into clinical diagnostic laboratories. SME-phase 2 funding and/or further private investment will be sought using the detailed business plan in order to fully validate clinical utility.
Neuromodulators Produce Distinct Activated States in Neocortex

Neocortical population activity varies between deactivated and activated states marked by the presence and absence of slow oscillations, respectively. Neocortex activation occurs during waking and vigilance and is readily induced in anesthetized animals by stimulating the brainstem reticular formation, basal forebrain, or thalamus. Neuromodulators are thought to be responsible for these changes in cortical activity, but their selective cortical effects (i.e., without actions in other brain areas) on neocortical population activity in vivo are not well defined. We found that selective cholinergic and noradrenergic stimulation of the barrel cortex produces well differentiated activated states in rats. Cholinergic cortical stimulation activates the cortex by abolishing synchronous slow oscillations and shifting firing to a tonic mode, which increases in rate at high doses. This shift causes the sensory thalamus itself to become activated. In contrast, noradrenergic cortical stimulation activates the cortex by abolishing synchronous slow oscillations but suppresses overall cortical firing rate, which deactivates the thalamus. Cortical activation produced by either of these neuromodulators leads to suppressed sensory responses and more focused receptive fields. High-frequency sensory stimuli are best relayed to barrel cortex during cortical cholinergic activation because this also activates the thalamus. Cortical neuromodulation sets different cortical and thalamic states that may serve to control sensory information processing according to behavioral contingencies.
Subsea Production Risers

This chapter compares four types of production risers: steel catenary risers (SCRs), top tensioned risers (TTRs), flexible risers, and hybrid risers. The SCR is a cost-effective alternative for oil and gas export and for water injection lines on deepwater fields, where the large-diameter flexible risers present technical and economic limitations. An SCR is a free-hanging riser with no intermediate buoys or floating devices. TTRs are used as conduits between dynamic floating production units and subsea systems on the seafloor, for dry tree production facilities such as spars and TLPs. TTRs are individual risers that rely on a top tension in excess of their apparent weight for stability. TTRs are commonly used on TLPs and spar dry tree production platforms. Flexible risers are one of the common types of production risers. Theymay be deployed in a variety of configurations, depending on the water depth and environment. Flexible pipes have traditionally been limited by diameter and water depth. Hybrid risers (HRs) consist of a vertical bundle of steel pipes supported by external buoyancy. Flexible jumpers connecting the top of the riser and the vessel are used to accommodate relative motion between the vessel and riser bundle.
A pooled crispri screen to identify new cell cycle proteins in the opportunistic human pathogen streptococcus pneumoniae

There is much truth in the ancient Chinese saying; “if you want to win the battle, you have to know your enemy”. When it comes to bacterial infections, we often don’t know our enemy very well and we are losing. Despite our best efforts to combat Streptococcus pneumoniae infections, this opportunistic pathogen remains a serious threat to human health, killing over 826 000 children each year and causing severe illness in 14 million more. Mankind is therefore in desperate need of novel therapies that can eradicate S. pneumoniae infections. The search for these therapies, however, is impeded by the lack of insight into the life cycle of this important pathogen. In this proposal, I therefore aim to generate unprecedented insight into the S. pneumoniae cell cycle. I will do so by performing an innovative pooled CRISPRi (Clustered Regularly Interspaced Short Palindromic Repeats Interference) screen combined with FACS (Fluorescence Activated Cell Sorting) to assess the effect of downregulation of all S. pneumoniae genes on important cell cycle parameters such as cell morphology, DNA content and the formation of the Z-ring that is required for cell division. This genome-wide screen will reveal several gene products that are important for the correct progression of the S. pneumoniae cell cycle. I will further characterize the most promising targets to unravel their cell cycle-related function at the molecular level. Moreover, newly-identified gene products that are important for cell cycle progression could be interesting novel drug targets. The efficacy of these prospective targets will be validated in an in vivo infection model in Galleria mellonella (wax moth) larvae. In the future, these candidates can be used as a starting point for the development of novel and effective therapies. Besides generating valuable fundamental insight into the S. pneumoniae cell cycle, the results of this project will thus also assist in our fight against this notorious pathogen.
Climate change information, monitoring and management tools for adaptation strategies in Adriatic coastal areas

The Mediterranean Sea and specifically the Adriatic coastal and marine areas are particularly vulnerable to climate-related risks. The sea surface temperature of the Adriatic Sea will increase of about +1.5/1.6°C in 2050 and sea level will increase of +7 cm with consequent negative impacts on coastal areas and marine ecosystem services. In Italy and Croatia climate monitoring, modelling and adaptation are necessary to face this crucial climate challenge and to turn potential threats into economic opportunities. AdriaClim will develop accurate information able to support the development of regional and local climate change adaptation plans. In particular coastal adaptation planning, for a sustainable blue economy, will be developed based on reliable and accurate information on local sea level rise, sea temperature and salinity, coastal erosion, etc. AdriaClim will contribute to fill the gaps (lack of geographical coverage) in existing observing systems and will enhance and complement the existing modelling capacity (e.g. Med-CORDEX) by developing high resolution integrated models.
Method for manufacturing tempered glass plate

A method for manufacturing a tempered glass plate is provided, which is characterized in including: an arranging step in which a plurality of erected glass plates for temper which is almost rectangle and has 1.0 mm or less of thickness are arranged on a support with 10 mm or less of interval in thickness direction so as to obtain a glass plate for temper-arranged body; a tempering step in which the glass plate for temper-arranged body is dipped in an ion exchange solution to perform an ion exchange treatment so as to obtain a tempered glass plate-arranged body; a slow cooling step in which the tempered glass plate-arranged body is taken out from the ion exchange solution for slow cooling; and a taking-out step in which each tempered glass plate which constructs the tempered glass plate arranged-body is taken out from the support.
MONITORING ACCESSES OF A THREAD TO MULTIPLE MEMORY CONTROLLERS AND SELECTING A THREAD PROCESSOR FOR THE THREAD BASED ON THE MONITORING

A method of an aspect includes running a plurality of threads on a plurality of thread processors. Memory accesses, of a thread of the plurality that is running on a first thread processor of the plurality, are monitored to both a first memory through a first memory controller and a second memory through a second memory controller. A second thread processor of the plurality is selected for a thread based on the monitoring of the memory accesses of the thread to both the first memory and the second memory. Installation of the thread, for which the second thread processor was selected, is initiated on the second thread processor. Other methods, apparatus, and systems are also disclosed.
Stable carbon isotope analysis (δ13C values) of polybrominated diphenyl ethers and their UV-transformation products

Polybrominated diphenyl ethers (PBDEs) are frequently detected in food and environmental samples. We used compound specific isotope analysis to determine the δ(13)C values of individual PBDEs in two technical mixtures. Within the same technical product (DE-71 or DE-79), BDE congeners were the more depleted in (13)C the higher brominated they were. In contrast, the products of light-induced hydrodebromination of BDE 47 and technical DE-79 were more enriched in (13)C because of more stable bonds between (13)C and bromine. As a result, the δ(13)C values of the irradiated solution progressed diametrically compared to those of the technical synthesis. The ratio of the δ(13)C values of BDE 47 to BDE 99 and of BDE 99 to BDE 153 are thus suggested as indicators to distinguish native technical products from transformation products. Ratios <1 are typical for native congeners (e.g. in DE-71) while the reversed ratio (>1) is typical of transformation products.
Solar energy capturing column has cylindrical shell with chamfered rotating top with flat panel at angle to vertical, carrying solar panels connected to gas generator and bottles for storing gas

The housing or shell (Pos. 1) is cylindrical and contains a switchboard with a control circuit (Pos. 7). This is connected to an accumulator battery (Pos. 5) and a gas generator with gas storage bottles (Pos. 6). A rotatable adapter (Pos. 2) is mounted on top of the cylindrical housing and has a chamfered top end carrying a tilted board (Pos. 3) with an array of solar cells (Pos. 4).
Some Properties of a Recursive Procedure for High Dimensional Parameter Estimation in Linear Model with Regularization

Theoretical results related to properties of a regularized recursive algorithm for estimation of a high dimensional vector of parameters are presented and proved. The recursive character of the procedure is proposed to overcome the difficulties with high dimension of the observation vector in computation of a statistical regularized estimator. As to deal with high dimension of the vector of unknown parameters, the regularization is introduced by specifying a priori non-negative covariance structure for the vector of estimated parameters. Numerical example with Monte-Carlo simulation for a low-dimensional system as well as the state/parameter estimation in a very high dimensional oceanic model is presented to demonstrate the efficiency of the proposed approach.
Diffusion exchange NMR spectroscopy in inhomogeneous magnetic fields

Two-dimensional diffusion exchange experiments in the presence of a strong, static magnetic field gradient are presented. The experiments are performed in the stray field of a single sided NMR sensor with a proton Larmor frequency of 11.7 MHz. As a consequence of the strong and static magnetic field gradient the magnetization has contributions from different coherence pathways. In order to select the desired coherence pathways, a suitable phase cycling scheme is introduced. The pulse sequence is applied to study diffusion as well as the molecular exchange properties of organic solvents embedded in a mesoporous matrix consisting of a sieve of zeolites with a pore size of 0.8 nm and grain size of 2 μm. This pulse sequence extends the possibilities of the study of transport properties in porous media, with satisfying sensitivity in measurement times of a few hours, in a new generation of relatively inexpensive low-field NMR mobile devices.
Dynamically augmented navigation system

The need to know the precise location of individuals has become ubiquitous. Systems currently used for tracking humans and animals depend on global navigation satellite systems (GNSS eg GPS, Galileo) developed for aircraft, cars and boats, and do not provide reliable position information in conditions where GNSS is inaccurate or unavailable. For our research into locomotion of free-ranging animals, we developed a dynamically-augmented sensor system of higher integrity than GNSS alone. Currently, where GNSS is inaccurate or unavailable, most users have no alternative electronic means of navigation. Our system delivers this functionality, with the added benefits of low cost, low power requirements and small size. We propose to transform our research system into a prototype product ready for a commercial partner to take to market. It will fill the gap in the market between highly accurate but heavy and expensive navigation systems, and consumer level systems that give poor accuracy, especially in challenging GNSS conditions. 

Our system combines information about speed and heading during legged locomotion from accelerometers, gyroscopes and magnetometers and uses it to independently calculate track (position/time) to improve accuracy and continuity. Where GNSS is available, our system assesses the quality of GNSS fixes and uses only reliable information to augment the localisation solution. The performance of the research system and novelty of the approach have been demonstrated through five publications in Nature. 

The system can be interfaced with other technologies (eg physiological or environmental monitoring systems) and can communicate real-time position data locally or via wireless communications technology to a central control position or server.

Our dynamically augmented navigation system DYANS will have application for personal safety, military and sport, in industrial sites for personnel tracking, wildlife research and pet tracking.
Overview of Image Processing Approach for Identification of Agricultural Pests

Plant pest identification and detection is vital for food security, quality of life and a stable agricultural economy. Enormous agricultural yield is lost every year, due to rapid infestation by pests and insects.In vidarbha(Maharashtra) region, mostly in kharif period crops like cotton, soyabean, pigeonpea are grown and in rabi chickpea crop grown. Most common pod borer (Helicoverpa armigera) pest attacks cotton, pigeonpea, chickpea,sunflower,tomato and other crops. according to survey, minumum 10% of crop yield to pigeon pea crop is lost due to pod borer (Helicoverpa armigera) pest attacks. Various methodologies were proposed earlier for identification and detection of agriculture pests. Mostly work is done for identification of whitefly pest on sticky traps in greenhouse environments and in real fields. We propose a desion support system which exposes a advance computing technology that has been developed to help the farmer to identify agricultural pests and take proper decision about preventive or control measure of it. Diagnosis of agricultural pests in the field is very critical and difficult.In our proposed work, we would be capturing images of pests from cotton, pigeonpea,chickpea crops .after that captured image would be preprocessed for enhancement. Then segmentation will be carried out with help of OTSU thresholding.using segmentation we would be segmenting out pest from forground. After segmentation, various features of pests including color and shape will be extracted. This extracted features will be stored in database with name of pest. With the help of SVM classifier, we would be finding out the type of pest and give preventive and control measures to user.
Avalanche Tracks are Key Habitats for the Rock Bunting Emberiza cia in the Alps

En las montañas, los mosaicos de hábitats, como los que se encuentran en el límite superior de los bosques de coníferas en las regiones templadas, albergan una diversidad de aves rela- tivamente alta. En las montañas europeas, en particular, las especies de aves de hábitat abierto están amenazadas por la disminución de las actividades agropecuarias y por el calentamiento global. Los aludes de nieve actúan como un agente natural de perturbación que mantiene los hábitats abiertos y, por lo tanto, pueden contribuir a la heterogeneidad del hábitat en las altitudes por debajo del límite arbóreo. Utilizando el escribano montesino Emberiza cia como especie de estudio, evaluamos la idoneidad de las zonas de trayectoria de aludes como refugios para especies de aves de ecotono y hábitat semiabierto. Estudiamos las asociaciones de hábitat y otros factores ambientales que afectan a la presencia de la especie a partir de los datos de puntos de conteo y estudios de hábitat realizados en los Alpes. La presencia del escribano montesino fue mayor en las zonas de trayectoria de aludes que en los hábitats adyacentes a menor altitud. Los hábitats con alta presencia de escribano montesino se caracterizaron por un mosaico de arbustos con una estructura más abierta que el bosque circundante. No hubo diferencias entre las zonas de trayectoria de aludes y los puntos de control en el límite arbóreo. Las densidades de escribano montesino en las zonas de trayectoria de aludes en el bosque fueron similares a las del límite arbóreo y el cinturón alpino, lo que demuestra que los aludes crean un hábitat de ecotono equivalente al límite arbóreo a menor altura. Los escribanos montesinos utilizaron hábitats herbáceos con una cobertura rocosa intermedia, con parches de arbustos dentro de los barrancos. Este hábitat óptimo probablemente proporciona lugares de nidificación que minimizan la exposición a los depredadores, al tiempo que están cerca de parches de hierba que proporcionan un hábitat de forrajeo. En un contexto de cambio climático, en el que la actividad de los aludes podría aumentar debido a las nevadas más tardías de la primavera, los mosaicos de hábitat creados por este tipo de perturbación podrían desempeñar un papel fundamental en la conservación de las especies de aves de hábitat semiabierto en los Alpes.—Requena, E., Alba, R., Rosselli, D. y Chamberlain, D. (2022). Las zonas de trayectoria de aludes son hábitats clave para el escribano montesino Emberiza cia en los Alpes. Ardeola, 69: 203-217.