SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Advanced Age Impairs Cardioprotective Function of Mesenchymal Stem Cell Transplantation from Patients to Myocardially Infarcted Rats

Mesenchymal stem cells (MSCs) have limited clinical therapeutic effects in older myocardial infarction (MI) patients. Thus, whether younger MSCs might confer greater protection is worth investigating.Human MSCs (hMSCs) were isolated before coronary artery bypass graft surgery and growth characteristics of hMSCs at passage 3 were observed. Vascular endothelial growth factor (VEGF) and Bcl-2 mRNA and protein expression from hMSCs were measured. In vivo, 45 adult male rats with MI were randomized to receive one of three treatments: old hMSCs, young hMSCs or culture medium (control) transplanted into infarcted myocardium. Echocardiography, TUNEL, immunohistochemistry and Western blot were used to assess results.hMSC proliferation in the old group was significantly lower than the young group. VEGF decreased 35% and Bcl-2 decreased more than 60% at the mRNA level; VEGF and Bcl-2 protein were decreased in the old versus the young group. hMSC transplantation may improve cardiac function, but MSC source may affect therapeutic efficacy. Similar data were obtained from TUNEL, immunohistochemistry and Western blot.Transplantation of hMSCs improves heart function, but proliferative ability and myocardial protection decrease with older MSCs, likely due to differences between VEGF and Bcl-2 expression and reduced anti-apoptosis.
MONITORING OF HYDRAULIC FRACTURING OPERATIONS

There are disclosed methods and apparatus for monitoring hydraulic fracturing operations, using a distributed optical fibre sensor to detect relevant acoustic signatures, such as acoustic signatures of cement washout and of events involving a valve drive component.
Analogue to information converter design using analogue chua circuit for IoT devices

IoT devices design faces several challenges like power consumption, security, privacy and more. In this paper a low power, secured and fully analogue design for the analogue information converter (AIC) preprocessing block (or AIC analogue frontend) is proposed to be used for monitoring systems like the IoT devices. The proposed design is based on replacing the traditional digital pseudo random generator like linear feedback shift register (LFSR) by analogue Chua circuit. This replacement overcomes any need of isolation between analogue parts and digital parts of the AIC and add security to the input data. Chua circuit has been presented by 4 different implementations. The different implementations for the Chua circuit have been tested for the performance of reconstructing the original signal and the power consumption. The study is based on simulation using Multisim Pspice, and Matlab software and based on the off the shelf component.
Castor edc: unlocking the potential of data in biomedical research

A large part of the data collected during the biomedical research is wasted, because there is no affordable and easy-to-use Electronic Data Capture (EDC) tool for clinical trials. As a result, 85% of the research investment in the biomedical research domain – equating to $200 billion – is dissipated. Castor is a disruptive EDC that solves this problem. It has been successfully commercialized to 5,000 users in the Netherlands, especially in the academic sector. In terms of price and functionalities, Castor EDC is tailored to the needs SMEs performing medical research (e.g., Commercial Research Organizations working on drug development and SMEs manufacturing medical devices/wearables) and academic institutions; these segments are neglected by the existing commercial EDC platforms, which mainly target the needs of pharmaceutical corporations. This market is enormous (over €1.7B globally) and growing quickly due to the recent EU regulations on sensitive data protection. Castor EDC is also the first EDC complying with the FAIR guidelines for data collection, which will become the standard de facto within a couple of years. 
Thanks to these characteristics, data sets can now be easily shared across researchers and reused, thus unlocking the potential of data of biomedical studies. This will help to overcome the current fragmentation of the European databases that has led to lost opportunities when making sense of big data in health research. 
This innovation project has two main objectives. First, upgrading the existing tool to TRL 9, by enhancing with advanced functionalities the Electronic Data Capture tool and integrate it with i) a platform that facilitates researchers in sharing and reusing their datasets and ii) a marketplace where 3rd party developers can offer additional services to work on those datasets. Second, carry out the planned exploitation activities to establish Castor EDC as a EU-28 market leader in the market within 3 years from the end of the project.
PELAKSANAAN PEMBEBASAN TANAH UNTUK PEMBANGUNAN PASAR INPRES DI KOTA RUTENG, MANGGARAI, NUSA TENGGARA TIMUR

This thesis entitled to the legal protection of property rights of land holders in the implementation of land acquisition for the market construction in the City Instruction Ruteng, Manggarai, East Nusa Tenggara. The main issue is how the phase of land acquisition for the Presidential Market in the Village Pitak, City of Ruteng, Manggarai and why in the building in the Village Pitak Presidential Market, City of Ruteng, Manggarai there are former holders of rights to land for redress. Purpose of this paper is to know the law, analyze and answer the research question using empirical legal research conducted directly to the respondents as the main data. Data in this study using primary data and secondary data. Primary data is the data obtained through interviews directly from respondents about the object studied and then analyzed qualitatively. Conclusion of this research is the implementation of the land acquisition for the construction market in the town of Ruteng Instruction, Manggarai, East Nusa Tenggara is not in accordance with the procedures set forth in Rule No. 15 of 1975. Form has not been the implementation of the legal protection is still there four respondents who do not obtain redress.
An analysis on fractional Fourier transform in Doppler and multipath mobile underwater acoustic channel.

Fractional Fourier transform is a kind of time‐frequency analysis method, which combines the information of signals in time domain and frequency domain. FRFT has chirp‐based decomposition characteristics, for a given chirp signal, there is a fraction which gathers the energy of linear frequency‐modulated signals to a maximum, which provides a basis for the detection of chirp signal with Doppler frequency offset and can also be used in the synchronization detection of mobile communication in underwater acoustic and the channel parameter estimation. This paper describes the theoretical basis of FRFT and its characteristics analysis, then by the computer simulation, performance analysis of FRFT and correlation detection in the conditions of Doppler and multipath are worked out, and the facts are verified that fractional Fourier transform is more suitable than copy correlator for Doppler frequency offset and multipath underwater acoustic channel.
Plasmonic heaters linked to lanthanide-based nanothermometers for photodynamic therapy in the near-infrared

This project addresses the quest of new materials and approaches that nanotechnology requires to solve the current limitations of medicine. The potential to externally activate and control cellular processes inside the body by using light, or even to carry out treatments through drug delivery, photothermal and photodynamic therapies becomes a reality thanks to the use of especially tailored biocompatible nanoplatforms. However, the options are limited in terms of penetration depth, since most of the developed nanoplatforms work under visible light, which can only penetrate a few millimetres inside the body. Instead, the use of near-infrared wavelength allows light to travel distances in the centimetre range. 
Temperature is a key parameter for the metabolism of cells and to control chemical reactions. Therefore, we propose a hybrid nanoplatform that, working within the biological transparency windows in the near-infrared, optically measures and controls temperature with the accuracy that is required for biomedical applications. The novelty of the approach is based on coupling two different types of nanoparticles with complementary functionalities: lanthanide-doped materials as remote optical sensor to measure temperature, and metal nanoparticles with plasmon resonances in the near-infrared to exploit their excellent heating properties. This approach involves the development of new materials with outstanding physical properties for thermometry in the infrared (hardly existing now), as well as tailoring the heating properties of plasmonic nanoparticles with different morphologies (rods, stars or cages) and finally, the creation of a heater/thermometer hybrid structure and the study of its performance for in vitro photothermal therapies.
Effects of norms and policy incentives on household recycling: An international comparison

Abstract Increased household recycling is a policy goal in many countries. Household recycling is, to a large extent, based on voluntary efforts. It is thus interesting to understand the mechanisms behind household voluntary contributions to recycling, and how they are affected by various policy measures. In this study, we describe the differences in factors affecting household recycling activities across 10 OECD countries. We find that the most important motivations for household recycling are the belief that recycling is good for the environment and that recycling is a civic duty. Increasing the supply of recycling services has a significant effect on household recycling, and door-to-door collection and drop-off centres are the two most effective methods in this respect. Furthermore, the results indicate that the design of monetary incentives may be important to avoid crowding out of morally motivated voluntary contributions, illustrated by the Korean success with volume-based fees.
Robust algorithms for learning from modern data

Machine learning is needed and used everywhere, from science to industry, with a growing impact on many disciplines. While first successes were due at least in part to simple supervised learning algorithms used primarily as black boxes on medium-scale problems, modern data pose new challenges. Scalability is an important issue of course: with large amounts of data, many current problems far exceed the capabilities of existing algorithms despite sophisticated computing architectures. But beyond this, the core classical model of supervised machine learning, with the usual assumptions of independent and identically distributed data, or well-defined features, outputs and loss functions, has reached its theoretical and practical limits.

Given this new setting, existing optimization-based algorithms are not adapted. The main objective of this proposal is to push the frontiers of supervised machine learning, in terms of (a) scalability to data with massive numbers of observations, features, and tasks, (b) adaptability to modern computing environments, in particular for parallel and distributed processing, (c) provable adaptivity and robustness to problem and hardware specifications, and (d) robustness to non-convexities inherent in machine learning problems.

To achieve the expected breakthroughs, we will design a novel generation of learning algorithms amenable to a tight convergence analysis with realistic assumptions and efficient implementations. They will help transition machine learning algorithms towards the same wide-spread robust use as numerical linear algebra libraries. Outcomes of the research described in this proposal will include algorithms that come with strong convergence guarantees and are well-tested on real-life benchmarks coming from computer vision, bioinformatics, audio processing and natural language processing. For both distributed and non-distributed settings, we will release open-source software, adapted to widely available computing platforms.
FIRING TRIGGER LOCKOUT ARRANGEMENTS FOR SURGICAL INSTRUMENTS

A surgical instrument system can comprise, one, a surgical instrument (9000) including a handle, a shaft (9040) comprising a distal end, and a trigger (9014) and, two, an end effector (9060) attachable to the shaft. The instrument can further include a firing member and a motor (100) configured to move the firing member (9020) toward the distal end, wherein the trigger is configured to operate the motor. The surgical instrument system can further include a plurality of sensors configured to detect one or more error conditions, a plurality of indicators, and a controller in communication with the plurality of sensors and the indicators, wherein the controller is configured to selectively activate the indicators to indicate the error conditions detected. A surgical instrument can comprise a plurality of actuators and a plurality of actuator locks, wherein the controller can actuate one or more of the actuator locks to indicate the error condition detected.
NOVEL COMPOUNDS AND THEIR USE AS POSITIVE AMPA RECEPTOR MODULATORS

The invention provides novel compounds represented by general formula (I) wherein the bond represented by the broken line may be a single, double bond or absent; and if the bond is absent, then the nitrogen is substituted with a hydrogen and R2; X represents SO¿2? or C=O of CH2; Y represents -CH(R?4¿)-, -N(R4)- or -N(R4)-CH2-, O; and the meaning of R?2, R3, R4, R5, R6, R7, and R8¿ are as defined in the application. The compounds are useful as positive modulators of the AMPA-receptor.
Body mass index continues to accurately predict percent body fat as women age despite changes in muscle mass and height

Body mass index (BMI) is commonly used to predict obesity in clinical practice because it is suggested to closely correlate with percent body fat (%BF). With aging, women lose both lean mass and height. Because of this, many clinicians question whether BMI is an accurate predictor of obesity in aging women. In evaluating the equation for BMI (weight/height(2)), it is clear that both variables can have a dramatic effect on BMI calculation. We evaluated the relationship between BMI and %BF, as measured by dual-energy x-ray absorptiometry, in the setting of age-related changes in height loss and body composition in women. Our objective is to determine whether BMI continues to correlate with %BF as women age.Study participants were identified using data from five osteoporosis clinical trials, where healthy participants had full-body dual-energy x-ray absorptiometry scans. Deidentified data from 274 women aged between 35 and 95 years were evaluated. %BF, weight, age, tallest height, actual height, and appendicular lean mass were collected from all participants. BMI was calculated using the actual height and the tallest height of each study participant. %BF was compared with BMI and stratified for age.BMI calculated using the tallest height and BMI calculated using actual height both had strong correlations with %BF.Surprisingly, the effects of changes in height and lean body mass balance each other out in BMI calculation. There continues to be a strong correlation between BMI and %BF in adult women as they age.
The CO2-PENS Water Treatment Model: Evaluation of Cost Profiles and Importance Scenarios for Brackish Water Extracted During Carbon Storage.

Abstract Extraction of in-situ water is one of the options for minimizing the impact of large-scale CO 2 injection in saline aquifers or during enhanced oil recovery (EOR). The amount of water to be produced could be significant depending on in-situ conditions and injection parameters. Evaluating the costs of treatment is complex, as the quality of the water may vary considerably from treatments based on well-known seawater chemistry, including reverse osmosis. We evaluated a brackish-salinity water to be extracted from a future CO 2 injection and storage location in eastern China for prototype treatment costs for both cooling water and boiler water final treatment goals. Costs for treatment of the water, excluding costs for organic pretreatment, were within the range of previously analyzed costs for higher-salinity waters (US$1.53-6.20) but are likely to be lower when economies of scale are included for a full-scale, higher volume treatment facility. Importance analysis lends insight into process factors that may not contribute the highest unit costs to treatment but on whole are very important to total system costs. We found that the acid rate for pretreatment, zero-liquid discharge disposal, feed water temperature, and water transportation costs, were the most important factors within total system costs for this analysis.
MEASUREMENT AND SIMULATION OF EQUATORIAL IONOSPHERIC PLASMA BUBBLES TO ASSESS THEIR IMPACT ON GNSS PERFORMANCE

Ionospheric anomaly is one of the major error sources which deteriorate the GNSS performance. In the equatorial region, effects of the ionospheric plasma bubbles are of great interest because they are pretty common phenomena, especially in the period of the high solar activity. In order to evaluate the GNSS performance under circumstance of the bubbles, an ionospheric scintillation monitor has been developed and installed in Bangkok, Thailand. Furthermore, a model simulating the ionospheric delay and scintillation due to the bubbles has been developed. Based on these developments, the effects of the simulated plasma bubbles are analyzed and their agreement with the real observation is demonstrated. An availability degradation of the GPS ground based augmentation system (GBAS) caused by the bubbles is exampled in details. Finally, an integrated GPS/INS approach based on the Doppler frequency is proposed to remedy the deterioration.
Using electronic knowledge resources for person-centered medicine – I: An evaluation model

Rationale: Electronic knowledge resources are routinely searched by physicians for clinical information. The value of clinical information for physicians can be conceptualized in accordance with the ‘Acquisition-Cognition-Application’ model from information studies. In previous work, seven reasons for searching for information (acquisition), and 10 cognitive impacts (cognition), were proposed.Aims and objectives: In two companion papers, our objectives are: (1) to propose a person-centered model of the value of clinical information retrieved by health professionals from electronic knowledge resources, called the ‘Acquisition-Cognition-Application-Outcome’ (ACAO) model and (2) to propose a related concept, the Number Needed To Benefit From Information (NNBI), i.e., the number of patients for whom information has to be retrieved to observe health benefits for one patient. Our research questions are as follows. Part 1: What is known about patients health benefits associated with the use of information that physicians retrieve from electronic knowledge resources? Part 2: How do patients benefit when physicians use information from electronic knowledge resources?Methods: This paper (Part 1) reports a mixed studies review of the medical literature on types of information use and subsequent patient health benefits.Results: Twenty-nine papers were included in this review. These papers support four proposed types of information use and four of five types of patient health benefits.Conclusion: This review of the medical literature supports the ACAO model and paves the way toward a new concept for examining patient health benefits associated with information use, the NNBI described in Part 2.
Relativistic ponderomotive effect on the propagation of rippled laser beam and the excitation of electron plasma wave in collisionless plasma

Abstract This paper presents an investigation of the propagation of rippled laser beam in a collisionless plasma and its effect on and the excitation of electron plasma wave and particle acceleration, when relativistic and ponderomotive nonlinearities are simultaneously operative. Electron plasma wave (EPW) coupling with rippled laser beam arises on account of the relativistic change in the electron mass and the modification of the background electron density due to ponderomotive nonlinearity. When the electron plasma wave gets coupled to the rippled laser beam, a large fraction of the pump energy gets transferred to EPW and this excited EPW can accelerate the electrons. Analytical expressions for the growth rate of the laser spike in plasma, beam width of the rippled laser beam and excited electron plasma wave have been obtained using paraxial ray approximation. These coupled equations are solved analytically and numerically to study the growth of laser spike in plasma and its effect on the self focusing of rippled laser beam in plasma, amplitude of the excited electron plasma wave and particle acceleration. The result shows that the effect of including ponderomotive nonlinearity significantly affects the growth of laser spike in plasma, excitation of electron plasma wave as well as the number of energetic electrons in particle acceleration process. The results are presented for typical laser plasma parameters.
Aurelio Principato, Tre percorsi letterari parigini

luogo che idealmente li contiene, la città di Parigi.Un primo percorso dedicato alle Rime del tempo passato (pp.23-59), un secondo -Nell'età della ragione (pp.
THEMAtic Tourism founded on Innovation Capacities

The Main objective of the project is to promote the development of a sustainable and accessible tourism economy  in the ADRION region, based on natural, cultural and historical resources.

The ADRION region is home to numerous natural and cultural heritage sites, many included in the UNESCO world heritage list. Recent trends of growing demand for thematic tourism brought new opportunities and risks for these sites. The fast growth of visitors offered great opportunities for growth. But it also posed risks of overexploitation of fragile resources and loss of social and cultural diversity, as well as of reduced accessibility for tourists with special needs.

THEMATIC brings together research and innovation centers, higher education institutions, policy making and business actors for a comprehensive innovation strategy, following the triple helix approach,  to exploit new opportunities and mitigate risks. 

The THEMATIC partners will establish a permanent network which will develop and endorse an action plan aiming to their shared objectives. Then they will create common tools for material and immaterial investments for thematic tourism, including a repertoire of best practices and guidelines for feasibility studies for public and private investments in the field of cultural tourism. All innovation capacities and tools produced will be tested in pilot actions.

The THEMATIC partners’ regions include an extraordinary network of touristic destinations: National Parks, UNESCO heritage sites, ethnographic reservoirs, that offer a unique and fertile field for testing and promoting innovative tools and strategies. Pilot projects will include:  accessibility services in archeological sites, multimedia products for historical and natural sites, special thematic experiences (major movies locations; migrant roots; ethnographic events; biodiversity sites), systems for traffic congestion management in fragile historical sites.
Scalar QNMs for higher dimensional black holes surrounded by quintessence in Rastall gravity

The spacetime solution for a black hole, surrounded by an exotic matter field, in Rastall gravity, is calculated in an arbitrary d-dimensional spacetime. After this, we calculate the scalar quasinormal modes of such solution, and study the shift on the modes caused by the modification of the theory of gravity, i.e., by the introduction of a new term due to Rastall. We conclude that the shift strongly depends on the kind of exotic field one is studying, but for a low density matter that supposedly pervades the universe, it is unlikely that Rastall gravity will cause any instability on the probe field.