SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Conceptual study of the Matrika Marma w.r.t Carotid sinus and Carotid body

Â Â Â Â Â Â Â Â Â Â Â Â  Sushruta has explained the Marma i.e vital points of the body.Â  On the basis of consequences, there are five types of Marma in which one is Sadyapranahara Marma that means injury to these Marma leads to sudden death. Matrika Marmas are eight in number, lie in the neck on either side of Kanthnadi which is aÂ  Sadhyapranahara Marma. In the internal carotid arteries, there is carotid sinus which is a major vital point of the body. It regulates the blood pressure of the body. Carotid body is also situated in common carotid artery which regulates the chemical composition of the body. So Matrika Marma can be compared with carotid sinus and carotid body i.e baroreceptor and chemoreceptor.Â  This study will be beneficial for surgery and also for medicine.
Network representations of contextual memory in a neocortical circuit

How are memories formed and how do we remember them? Despite decades of memory research, these are still unanswered questions. There is consensus that the hippocampus is a key circuit for forming new memories. According to the classical model, memories that initially depend on the hippocampus, mature over time, and become increasingly dependent on distributed networks in the neocortex. While there has been great progress in understanding the molecular and genetic substrates of memory, how memories are represented by neuronal ensembles is still poorly understood. This is in part due to the lack of tools to monitor neural populations densely and repeatedly during memory formation and memory recall. The advent of two-photon microscopy and activity indicators that allow to measure the activity of nearly all neurons in a circuit, has created new opportunities to address these questions. To study how the neocortex supports memories, I will study a circuit called the retrosplenial cortex (RSC). This structure receives dense and direct input from the hippocampus and is therefore a key network to study memory. There is also substantial support for a role of RSC in memory recall, but the network mechanisms remain unknown. To study this, I will establish a novel head-fixed contextual fear conditioning task for mice that enables monitoring the activity of thousands of neurons in the RSC while conditioning under the microscope. The high spatial resolution of this method also enables measuring the activity changes of hippocampal axons projecting to RSC, thus allowing me to also measure the synaptic input to RSC. Finally, I will establish a novel technique to monitor hippocampal oscillations related to memory consolidation (so-called sharp wave ripples) and neural activity changes in RSC simultaneously. The results will address how memories are formed and recalled, and will provide important insights in what goes wrong during age- and disease related impairments of memory.
Dynamics and structure of networks

Networks define our life, being essential to cell biology, communications, social and economic systems, and impacting virtually all areas of science and technology. The aim of this proposal is to engage leading experts in network science and graph theory to build a mathematically sound theory of dynamical networks, which will be transformative to our understanding of complex systems, with applications in multiple disciplines. 
Both fields have made major conceptual advances in the past decade: network science has offered a data-based basic topological description of complex networks, and has started to address the inherently dynamical nature of real networks, their reconstruction and control; in mathematics we have seen major advances in graph limit theory, the local-global dichotomy in observation, and promising steps in the theory of graphs with intermediate degrees, that capture real networks. While these concepts offer different formalisms to capture the same underlying reality, there has been no conversation between the two communities, limiting our understanding of real networks. 
The proposed research aims to build on these advances to construct a coherent theory of dynamical networks, and to exploit its applications and predictive power to various real systems. We plan to offer a sound mathematical foundation of network science, helping us better analyze, predict and control the behavior of real networks. It will benefit mathematics in leading to an enriched, robust graph limit theory, with exciting applications in multiple areas of mathematics. To enhance the wider impact of the proposed mathematical advances, we plan to conduct a permanent conversation with experts from different domains that encounter and explore real networks, from cell biology to brain science and transportation and communication networks, inspiring with novel questions and helping the application of our advances in these domains.
Tests of  fundamental physics with atomic parity violation in ytterbium

This project aims to establish a novel platform for fundamental tests in nuclear and particle physics, based on detecting isotopic variation of parity violation in atomic nuclei.

Atomic probes in tabletop experiments offer a unique approach to testing fundamental physics, complementary to high-energy-physics experiments in large facilities. In particular, atomic parity violation (APV) provides a window into the effects of weak interaction in atoms. Recent observations by our team on how the APV effect varies among a chain of ytterbium (Yb) isotopes motivate the use of this method as a versatile probe of nuclear and particle physics. More specifically, comparing the APV effect in different isotopes of the same atomic species is a sensitive tool to study the distribution of neutrons in the nucleus, which in turn is closely related to the structure and size of neutron stars. The method is also a probe of additional vector bosons, beyond the Standard Model of particle physics. Finally, the study of nuclear-spin-dependent contributions to the APV effect in isotopes with nuclear spin is a sensitive way to investigate intranuclear weak interactions, which are currently poorly understood.

The objective of the YbFUN project is to substantially expand existing approaches to probing isotopic APV variation and to establish the method as a powerful tool at the interdisciplinary junction between atomic, nuclear and particle physics. Towards this goal, we will i) employ high-precision measurements of isotopic variation of the APV effect in Yb to probe the neutron distribution in the Yb nucleus and thus help answer questions regarding the size of neutron-rich nuclei and neutron stars; ii) make use of the isotopic comparison method to explore electron–nucleon interactions mediated by potential additional Z bosons; and iii) undertake studies of spin-dependent APV to advance the fundamental understanding of intranuclear weak forces.
3D-Printed Microfluidic Microdissector for High-Throughput Studies of Cellular Aging

Due to their short lifespan, rapid division, and ease of genetic manipulation, yeasts are popular model organisms for studying aging in actively dividing cells. To study replicative aging over many cell divisions, individual cells must be continuously separated from their progeny via a laborious manual microdissection procedure. Microfluidics-based soft-lithography devices have recently been used to automate microdissection of the budding yeast Saccharomyces cerevisiae. However, little is known about replicative aging in Schizosaccharomyces pombe, a rod-shaped yeast that divides by binary fission and shares many conserved biological functions with higher eukaryotes. In this report, we develop a versatile multiphoton lithography method that enables rapid fabrication of three-dimensional master structures for polydimethylsiloxane (PDMS)-based microfluidics. We exploit the rapid prototyping capabilities of multiphoton lithography to create and characterize a cell-capture device that is capable of high-resolution microscopic observation of hundreds of individual S. pombe cells. By continuously removing the progeny cells, we demonstrate that cell growth and protein aggregation can be tracked in individual cells for over ~100 h. Thus, the fission yeast lifespan microdissector (FYLM) provides a powerful on-chip microdissection platform that will enable high-throughput studies of aging in rod-shaped cells.
Visual and textual content re-purposing for(4) architecture, design and video virtual reality games

V4Design will develop a platform that provides architects, video game creators and designers of any expertise with innovative tools necessary to enhance and simplify the creative phase of the designing process. The main idea behind V4Design is to reuse (i) visual: movies, documentaries paintings and images from other artwork  and (ii) textual content: from textual documentations in films, critics, catalogues, museum guides,  and re-purpose it in order in a way that will be useful for architecture and video game designers.
To this end, V4Design will develop a data collection and retrieval tool that will gather data from content providers and crawl on-line art libraries, in order to extract 3D and VR representations from objects, buildings and cityscape environments. Additionally, V4Design will introduce innovative design tools to architects, designers and video game creators that will leverage visual and textual ICT technologies: (i) extract a specific historic era’s artistic or aesthetic style, localize buildings and art-objects in visual data, (ii) generate personalized summaries of the retrieved commentaries, reviews, critics, etc. on the visual content, and (iii) enhance all the above with semantic knowledge, smart indexing and retrieval capability.
By this way, the creative phase of the design process will be greatly enhanced. Past aesthetic trends and SoA design knowledge would be easily reused, fully leveraging the skills, competencies and talent of designers and allowing them to explore and create new realms. A very rich source of inspiration will be also provided by textual summaries derived from the reflections on the analyzed artwork tuned to designers’ interests and profiles.
Episodic mass loss in the most massive stars: key to understanding the explosive early universe

Massive stars dominate their surroundings during their short lifetimes, while their explosive deaths impact the chemical evolution and spatial cohesion of their hosts. After birth, their evolution is largely dictated by their ability to remove layers of hydrogen from their envelopes. Multiple lines of evidence are pointing to violent, episodic mass-loss events being responsible for removing a large part of the massive stellar envelope, especially in low-metallicity galaxies. Episodic mass loss, however, is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of astronomy. We aim to determine whether episodic mass loss is a dominant process in the evolution of the most massive stars by conducting the first extensive, multi-wavelength survey of evolved massive stars in the nearby Universe. The project hinges on the fact that mass-losing stars form dust and are bright in the mid-infrared. We plan to (i) derive physical parameters of a large sample of dusty, evolved targets and estimate the amount of ejected mass, (ii) constrain evolutionary models, (iii) quantify the duration and frequency of episodic mass loss as a function of metallicity. The approach involves applying machine-learning algorithms to existing multi-band and time-series photometry of luminous sources in ~25 nearby galaxies. Dusty, luminous evolved massive stars will thus be automatically classified and follow-up spectroscopy will be obtained for selected targets. Atmospheric and SED modeling will yield parameters and estimates of time-dependent mass loss for ~1000 luminous stars. The emerging trend for the ubiquity of episodic mass loss, if confirmed, will be key to understanding the explosive early Universe and will have profound consequences for low-metallicity stars, reionization, and the chemical evolution of galaxies.
Knowledge and Tastes: Historical, Cultural Identity and Gastronomy between Syracuse, Agrigento and Malta  

Context:
 The cross-border cooperation sees in the first line Sicily and Malta, linked by historical and cultural traditions, as well as trade. Moreover, thanks to cultural cooperation, intensified the benefits that can be induced to major chains, as in the case of tourism, pointing especially to the enhancement of existing resources: culture and local traditions as a source of economic prosperity. 
And a triangle, ideally one that is formed by uniting the territories of Syracuse, Agrigento and Malta, which encompasses a vast feelings and stimuli, which synthesizes an intertwining of intimacy between the historical and gastronomic cultures of the three areas, which speaks a and three languages simultaneously. 
Aims: 
The main objectives pursued by the project are: 
Promoting local traditions, witness cultural identities, through research and publications of studies on knowledge and local tastes;
Stimulating public awareness about the validity and effectiveness of Community instruments for strengthening cross-border trade; 
Propose and highlight events of cross-border cultural exchange as "replicable models of partnership".
Artificial intelligence for livestock health management.

SERKET is an innovative and disruptive Animal Recognition Software for Livestock able to collect data using standard security cameras, analyze the data by a proprietary Artificial Intelligence algorithm that detects behavioural pattern anomalies and automatically define the best strategy for the livestock health management.
The main benefits are: 1) Reduction of Antibiotics Usage - instead of treating all the animals with drugs and antibiotics, SERKET can early detect the ailments and focus only on the  animals that need the treatment; 2) Reducing Mortality Rate - SERKET solution can lessen the livestock mortality rate from 16% to 8%, thanks to the automatic behaviour recognition system; 3) Optimize the livestock management - SERKET is capable of counting animals, of determining feed requirements and automatically adjusting liquid feeding systems. 
The uniqueness and innovativeness of SERKET solution is: 1) it is the only technology in the market able to perform a real behavioural tracking and to anticipate dangerous situations for the animals; 2) it is simultaneously non-invasive (needing only standard cameras) and accurate; 3) it leads to a huge saving for farmers, thanks to the accuracy and to the support on livestock management (from a preliminary evaluation, a large pig farm owner will save 5.3 €/pig against a SERKET full-service fee of 2.2 €/pig).
SERKET intercepts the Livestock market trends, driven by the continuous growth of livestock population, the more and more stringent regulations on antibiotics over-use and the imperative need to enhance the productivity by employing efficient systems to simplify the management of large volumes of animals, which is leading to a booming growth of the Livestock Monitoring & Management Market ($4.84 Billion by 2021 with a CAGR of 17.8% from 2016 to 2021).
Alternate Strategies to Obtain Mass Balance without the Use of Radiolabeled Compounds: Application of Quantitative Fluorine (19F) Nuclear Magnetic Resonance (NMR) Spectroscopy in Metabolism Studies

Nuclear magnetic resonance (NMR) spectroscopy is playing an increasingly important role in the quantitation of small and large molecules. Recently, we demonstrated that (1)H NMR could be used to quantitate drug metabolites isolated in submilligram quantities from biological sources. It was shown that these metabolites, once quantitated by NMR, were suitable to be used as reference standards in quantitative LC/MS-based assays, hence circumventing the need for radiolabeled material or synthetic standards to obtain plasma exposure estimates in humans and preclinical species. The quantitative capabilities of high-field NMR is further demonstrated in the current study by obtaining the mass balance of fluorinated compounds using (19)F-NMR. Two fluorinated compounds which were radio-labeled with carbon-14 on metabolically stable positions were dosed in rats and urine and feces collected. The mass balance of the compounds was obtained initially by counting the radioactivity present in each sample. Subsequently, the same sets of samples were analyzed by (19)F-NMR, and the concentrations determined by this method were compared with data obtained using radioactivity counting. It was shown that the two methods produced comparable values. To demonstrate the value of this analytical technique in drug discovery, a fluorinated compound was dosed intravenously in dogs and feces and urine collected. Initial profiling of samples showed that this compound was excreted mainly unchanged in feces, and hence, an estimate of mass balance was obtained using (19)F-NMR. The data obtained by this method was confirmed by additional quantitative studies using mass spectrometry. Hence cross-validations of the quantitative (19)F-NMR method by radioactivity counting and mass spectrometric analysis were demonstrated in this study. A strategy outlining the use of fluorinated compounds in conjunction with (19)F-NMR to understand their routes of excretion or mass balance in animals is proposed. These studies demonstrate that quantitative (19)F-NMR could be used as an alternate technique to obtain an estimate of the mass balance of fluorinated compounds, especially in early drug development where attrition of the compounds is high, and cost savings could be realized through the use of such a technique rather than employing radioactive compounds. The potential application of qNMR in conducting early human ADME studies with fluorinated compounds is also discussed.
Leonor Fernández Guillermo, «Lope de Vega. El arte de la versificación teatral»

Reseña de Leonor Fernández Guillermo, Lope de Vega. El arte de la versificación teatral, Ediciones del Lirio-UNAM, México, 2021, 266 pp. ISBN: 9786078785209.
HYPERLINKS INCORPORATING PRODUCTS IN INTERNATIONAL-SCALE MULTI-LEVEL MARKETING SYSTEMS

Disclosed herein is a system and method to allow sellers of products to enroll individual products in an international multi-level marketing (MLM) system. A first individual that purchases a product may be enrolled as a distributor of the MLM system and this individual may be allowed to advertise the product to other individual who may then become a distributor of the product after they purchase the product. This second distributor may then advertise the product to yet other individuals who in turn may become a distributor of the product after they purchase the product. Each of these distributors may be assigned a code that is used to identify distributors that are owed commissions. Whenever a product is sold, commissions may be paid out to distributors using a currency associated with respective distributors. A chain of distributors located in the USA and Japan may be paid commissions in their local currency.
Engineering microbial-biosolids coupled interface for sustainalbe geoenvironment in extreme weather

Climatic influences various natural phenomena and affect the overall environmental synergy. Precipitation pattern and temperature are among key phenomena that influence the soils and inturn life. Extended periods of droughts leads to loss of nutrition in soils and increases desertification of land. On the other hand, the increase in temperature (natural or anthropogenic activities) that lead to rise in temperatures in the geoenvironment will lead to unstable ground conditions. This situation is more detrimental in the presence of organic matter/organic soils and has been poorly understood. This study proposes to develop a novel technology to rejuvenate derelict soils by utilising native soil microorganisms and stimulating them with biowaste (such as biosolids), with an aim to commercialise the technology. These studies will require screening of the stimulants and the native soil microbes (consortium) that will be amended with a typical coarse-grained and fine-grained soil. Subsequently the efficacy of biomodification will be assessed based on several physical, and biochemical parameters relating to soil and plants. Further, through this proposed study a engineering behaviour of biomodified soils (organic soils) under elevated temperatures (ThermoHydroMechanical behaviour) will be carried out. This will a major step in this direction as till date the conventional practise has been to understand THM behaviour  of soils without biogenic function. These efforts will be followed by developing a mathematical framework that can predict the holistic behaviour of soils under elevated temp. This study will be carried out by Dr.Shashank Bettadapura Subramanyam(ER), Prof.Xiaohui Chen(from UnivLeeds) will be the PI. This collaboration will significantly influence ER's competences in pursuing his interests and achieving career goals and enable a 2way transfer of knowledge between the ER & PI related to biogeotechnics THMbehaviour &numerical aspect in environmental geotechnics.
Automated detection of ventricular pre-excitation in pediatric 12-lead ECG

With increased interest in screening of young people for potential causes of sudden death, accurate automated detection of ventricular pre-excitation (VPE) or Wolff-Parkinson-White syndrome (WPW) in the pediatric resting ECG is important. Several recent studies have shown interobserver variability when reading screening ECGs and thus an accurate automated reading for this potential cause of sudden death is critical. We designed and tested an automated algorithm to detect pediatric VPE optimized for low prevalence.Digital ECGs with 12 leads or 15 leads (12-lead plus V3R, V4R and V7) were selected from multiple hospitals and separated into a testing and training database. Inclusion criterion was age less than 16 years. The reference for algorithm detection of VPE was cardiologist annotation of VPE for each ECG. The training database (n=772) consisted of VPE ECGs (n=37), normal ECGs (n=492) and a high concentration of conduction defects, RBBB (n=232) and LBBB (n=11). The testing database was a random sample (n=763). All ECGs were analyzed with the Philips DXL ECG Analysis algorithm for basic waveform measurements. Additional ECG features specific to VPE, mainly delta wave scoring, were calculated from the basic measurements and the average beat. A classifier based on decision tree bootstrap aggregation (tree bagger) was trained in multiple steps to select the number of decision trees and the 10 best features. The classifier accuracy was measured on the test database.The new algorithm detected pediatric VPE with a sensitivity of 78%, a specificity of 99.9%, a positive predictive value of 88% and negative predictive value of 99.7%.This new algorithm for detection of pediatric VPE performs well with a reasonable positive and negative predictive value despite the low prevalence in the general population.
MOBILE UNIVERSAL REASSEMBLING OBJECT

Mobile reassembling object comprising mobile lateral sides (200) which are rotatably fixed on a central part (18) which forms a fixed floor. By rotating the mobile lateral sides (200) around the axle they move from a closed position to an open position in that the fixed floor of the central part (18) makes the same plane with open lateral sides (200). The central part (18) contains mobile frames (169) which can be drawn out by means of guiding elements so as to form a roof and three lateral sides above the mobile floor. By connecting more mobile reassembling objects a larger usable area can be created.