SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
ULTRAHIGH SPEED SWEPT SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF RETINAL AND CHORIOCAPILLARIS ALTERATIONS IN DIABETIC PATIENTS WITH AND WITHOUT RETINOPATHY

To investigate the utility of ultrahigh speed, swept source optical coherence tomography angiography in visualizing retinal microvascular and choriocapillaris (CC) changes in diabetic patients.The study was prospective and cross-sectional. A 1,050 nm wavelength, 400 kHz A-scan rate swept source optical coherence tomography prototype was used to perform volumetric optical coherence tomography angiography of the retinal and CC vasculatures in diabetic patients and normal subjects. Sixty-three eyes from 32 normal subjects, 9 eyes from 7 patients with proliferative diabetic retinopathy, 29 eyes from 16 patients with nonproliferative diabetic retinopathy, and 51 eyes from 28 diabetic patients without retinopathy were imaged.Retinal and CC microvascular abnormalities were observed in all stages of diabetic retinopathy. In nonproliferative diabetic retinopathy and proliferative diabetic retinopathy, optical coherence tomography angiography visualized a variety of vascular abnormalities, including clustered capillaries, dilated capillary segments, tortuous capillaries, regions of capillary dropout, reduced capillary density, abnormal capillary loops, and foveal avascular zone enlargement. In proliferative diabetic retinopathy, retinal neovascularization above the inner limiting membrane was visualized. Regions of CC flow impairment in patients with proliferative diabetic retinopathy and nonproliferative diabetic retinopathy were also observed. In 18 of the 51 of eyes from diabetic patients without retinopathy, retinal mircrovascular abnormalities were observed and CC flow impairment was found in 24 of the 51 diabetic eyes without retinopathy.The ability of optical coherence tomography angiography to visualize retinal and CC microvascular abnormalities suggests it may be a useful tool for understanding pathogenesis, evaluating treatment response, and earlier detection of vascular abnormalities in patients with diabetes.
Invasive computing for predictable stream processing: a simulation-based case study

Heterogeneous many-core systems enable the integration of more and more applications into a single system. Executing multiple applications in the same system inevitably leads to resource sharing, e.g., when accessing on-chip communication and memory. This poses a challenge when applications are expected to guarantee user requirements regarding timing, reliability, security, etc. In this paper, we review a design methodology that (a) allows an application designer to model a stream processing application and user requirements, and then (b) automatically generates a set of resource requirements that guarantee the fulfillment of these user requirements. Techniques from the Invasive Computing paradigm enable the program-driven dynamic reservation of resources according to these generated resource requirements.We demonstrate that this provides means for predictable execution of stream processing applications by evaluating a simulation-based case study.
Satellite imagery and household survey for tracking chickpea adoption in Andhra Pradesh, India

The objective of this study was to map the temporal changes in chickpea cropped area over the last decade in Andhra Pradesh using remote-sensing imagery. Moderate Resolution Imaging Spectroradiometer MODIS data composited for every 16 days were used to map the spatial distribution of seasonal crop extent in Andhra Pradesh. MODIS derived 16 day normalized difference vegetation index NDVI and maximum value composite MVC with seasonal ground survey information for the years 2005–2006 and 2012–2013 were used. A subset of ground survey information was also used to assess the pixel-based accuracies of the MODIS-derived major cropland extent. Chickpea-growing areas were identified and mapped based on their characteristic growing periods during the post-rainy season. Significant growth in the chickpea-growing areas was observed in the four districts of Andhra Pradesh between 2001 and 2012. The area cropped to chickpea almost tripled from 0.22 million ha during 2000–2001 to 0.6 million ha by 2012–2013. Furthermore, survey data were also used to assess the accuracy of the MODIS estimates of chickpea-growing areas. When compared with ground survey, the 10 land-use and land-cover classes derived from the MODIS temporal imagery resulted in overall accuracies of 86% of actual. The accuracy of areas identified as cropped to chickpea was 94%. To complement this remote-sensing study, a state-level representative primary household survey was conducted to elicit information on the socio-economic characteristics of chickpea-growing farmers, the extent of adoption of improved cultivars, costs and returns from chickpea cultivation, competitiveness of chickpea with other post-rainy crops, etc. during 2012–13. The findings revealed that nearly 98% of the chickpea cropped area is now under improved cultivars, with an average increase in yield of 37% over yields achieved with unimproved varieties. The average annual per capita incomes have increased to US$ 1.89 day−1 with this silent chickpea revolution across the rain-fed areas of Andhra Pradesh.
Symmetry Meets Topology

Electrons possess the quantum mechanical property known as spin, often viewed in simple terms as the electron rotating. Quantum mechanics tells us that the amplitude of electron spin is restricted to integer multiples of ½ units of the Planck constant, which means that the electron wave function changes sign (from positive to negative and vice versa) after a full rotation of 2π radians. This sign change determines the fermionic statistics of electrons, and similarly for all other leptons and quarks, without which no matter would be able to form. A natural question is whether the half spin (or spin-½ in usual notation) of the electron has to be a fundamental property. In other words, if the universe were populated by particles that had only integer spin, which do not change sign upon full rotation, would it be possible to combine them and make spin-½ particles? Interestingly, the answer to this question, and its generalization, is deeply connected to a seemingly unrelated subject in condensed matter physics—the classification of topological states of matter, the topic addressed by Chen et al. ( 1 ) on page 1604 of this issue.
Evaluating security requirements in a general-purpose processor by combining assertion checkers with code coverage

The problem of malicious inclusions in hardware is an emerging threat, and detecting them is a difficult challenge. In this research, we enhance an existing method for creating assertion-based dynamic checkers, and demonstrate how behavioral security requirements can be derived from a processor's architectural specification, then converted into security checkers that are part of the processor's design. The novel contributions of this research are: - We demonstrate the method using a set of assertions, derived from the architectural specification, on a full-scale open-source general-purpose processor design, called OpenRISC. Previous work used only a single assertion on a toy processor design. - We demonstrate the use of our checker-generator tool, called psl2hdl, which was created for this research. - We illustrate how the method can be used in concert with code coverage techniques, to either detect malicious inclusions or greatly narrow the search for malicious inclusions that use rare-event triggers.
Multiscale analysis of airframe structures and quantification of uncertainties system

MARQUESS has been specifically designed to address the challenges outlined in the Topic Description reference JTI-CS2-2016-CFP04-LPA-02-15 to fit into the activities of WP2.4.3 in the LPA IADP in Clean Sky 2. 
MARQUESS will serve as a valuable precursor to the above as it will enable comprehensive modelling and simulation studies to optimise decision making regarding the structural design of aircraft platforms. The outputs from this project will be applied to two Clean Sky Demonstrators to illustrate the benefits of multiscale modelling, whereby detailed models can be analysed and easily interprested by designers without having to undertake the same levels of effort and computational resource as one would have to if performing detailed modelling and simulation of the whole structure.
UNOTT has vast experience of performing such work with projects analysing a range of aircraft components ranging from Aero-engine parts and structures through to landing gear components and bulkheads in major aircraft development programmes including both composite and metallic materials.
Results from MARQUESS will deliver outstanding benefits for Europe on three levels. 
•	On the commercial level, aircraft designers will be able to use the methods and tools based on the holistic multi-scale modelling techniques being integrated and developed in the project to enhance their competitive offering
•	On the societal level, the modelling framework will provide quantitative justification that will enable the design of more environmentally friendly aircraft, which will bring benefits in terms of reduced pollution and even enhanced mobility as there will be better scheduling of aircraft maintenance resulting in more reliable operation
•	On the scientific and technical level, where systematic integration of the length scales will open new avenues for research, including better integration of models that demonstrate the results of nanomaterials in large structures, for example.
Enhancing reservoir definition for field modeling and simulation with seismic elastic properties and discontinuity analysis—A case history for Main Pass 61, Gulf of Mexico.

Abstract The reservoir modeling and simulation of Energy XXI's Gulf of Mexico Main Pass 61 Pod B Oil Field integrated seismic elastic properties and discontinuity analysis to improve reservoir definition, lithology distribution and to identify compartments and fluid flow pathways. The results provided key basis for improving the estimation of recoverable oil, field management decisions involving water injection and work-over completions, and the identification of un-swept potential for new drilling opportunities. Conventional reservoir modeling and simulation field studies often underutilize information contained in the seismic data. Wells sample the earth with high vertical resolution at a single location, but seismic provides highly sampled information in the intra-well space. Utilization of the intra-well seismic information leads to better definition of the reservoir and simulation results. The reservoir model integrated estimates of litho-fluid properties derived from prestack seismic inversion employing Bayesian classification methods. Reservoir boundaries and facies distributions were identified from shale and sand classification probabilities. Porosity distribution in the reservoir utilized acoustic impedance as a proxy. Seismic discontinuity analyses also provided a means to identify compartment boundaries, baffles, and lithologic barriers to fluid flow. Together, the integration of these seismic properties improved the accuracy of the geologic model and provided better understanding of reservoir production mechanisms.
Enhancing the eu's transboundary crisis management capacities: strategies for multi-level leadership

The European Union (EU) is facing the daunting prospect of transboundary crises: threats that escalate across national borders and policy domains. EU member states must collaborate to address these crises. EU governance can play a pivotal role in facilitating a joint response. But does the EU have the institutional leadership capacities to deal with transboundary crises? 
The response to the financial crisis – a textbook example of a transboundary crisis – revealed deep problems with crisis leadership, including conflicting diagnoses, regulatory gaps, unclear political jurisdictions and responsibilities, a lack of problem solving capacity, and blame-shifting. Growing euroscepticism has been directly related to the EU’s role during this transboundary crisis. 
This project outlines the institutional requirements for effective and legitimate crisis leadership in the face of transboundary crisis. We define crisis leadership as a set of strategic management functions, including the detection of impending threats, the collection and sharing of information, the coordination of partners, and the communication to the public about the crisis and the response. 
The project analyses the capacities of political leaders in EU institutions and member states to fulfill these leadership functions. It will pinpoint the existing and required capacities to support these functions. It investigates the crisis management capacities of individual political leaders, and EU institutions. It explores the effects of political leadership on the member state level and studies how crisis management capacity is exercised in various policy sectors. 
The project will result in recommendations for effective and legitimate crisis leadership. It establishes a ‘crisis management capital index’ that allows for an evidence-based assessment. It proposes strategies to build support for transboundary crisis management in a multilevel system, reconnecting citizens with an idea of what the EU can do for them.
On Transformation of Business Administration Specialties in Local Colleges and Universities

To promote the transformation of business administration specialties in local colleges and universities,we ought to develop a good understanding of the current national economy and the present demand for talents. Transformational development means for business administration specialties to be adapt to new business models and to meet the needs of the society. It also means that fundamental changes should occur in the concept,orientation,mechanism,and guarantee mode of talent-development.It requires a good understanding of the enterprises' needs for talents before we can promote the cooperation between colleges and enterprises; a good understanding of needs for talents among different industries before we can construct characteristic specialty module and cluster; a good understanding of the occupational standards before we can improve the joint mode of production and education for talent cultivation; and a good understanding of the talent training goals before we can build a teaching staff capable of both theoretical knowledge and practical skills.
Controllable self-assembly of an amphiphilic drug with β-cyclodextrin and α-amylase

Abstract Herein, we report a novel responsive assembly system consisting of an amphiphilic drug fenspiride and β-cyclodextrin in host–guest approach. Fenspiride molecules can self-assembled into vesicles in aqueous solution. The obtained vesicles were characterized in detail by transmission electron microscopy (TEM), scanning electron microscopy (SEM) and atomic force microscopy (AFM). Furthermore, such a vesicular structure will be destroyed upon the addition of β-cyclodextrin due to the formation of inclusion complexes by host–guest interactions. In addition, amylase is a digestive enzyme which can catalyze the breakdown of starch into sugars. Adding α-amylase into the system could release fenspiride molecules, and trigger the self-assembly of fenspiride molecules again. It is anticipated that this research will provide widespread applications in the fields of responsive materials and biochemistry related to enzyme-responsive model system and host–guest chemistry.
Agricultural innovations in the Mediterranean area

The Mediterranean area is one of the most original and richest regions of the world in terms of biodiversity. Agriculturally speaking, it is impossible not to observe the variety of Mediterranean farming methods and products, their nutritional qualities and their attractiveness. At the same time, Mediterranean agriculture has great difficulty in valorising its potential and its advantages both economically and durably (lack of competitiveness, insufficient adaptation to new economic demands, lack of resource management, insufficient recognition of Mediterranean products, loss of jobs in the sector, etc.). Moreover, it is becoming more and more obvious that the Mediterranean Regions must play a central role in defining and implementing support policies for this sector. Based on the identity of Mediterranean agriculture, these policies must contribute to the creation of jobs and revenue within the sector while at the same time ensuring sustainability and integration in other territorial dynamics. The NOVAGRIMED project is intended to help these Regions to define and implement innovative, coordinated and collective support policies ensuring that the Mediterranean agricultural sector adheres to the goal of sustainable development. It calls on the different actors in the agricultural sector and combines the development of innovative physical actions with more strategic considerations which could contribute to the thought-process undertaken in the context of the CAP reform.
Compra de un nuevo autobús — una extensión de actividades que permiten el transporte de turistas que visitan los mayores atractivos de la Baja Silesia.

El proyecto tiene como objetivo desarrollar la empresa ampliando la oferta de la compañía. La introducción de un nuevo servicio, que es el transporte de turistas utilizando un nuevo autobús, que permite el transporte de 8 personas, es decir, 7 clientes. La oferta evitará la compra de servicios extranjeros como los servicios de transporte, lo que generará ahorros adicionales.
Early recognition of intracranial aneurysms to prevent aneurysmal subarachnoid hemorrhage

Intracranial aneurysms usually go undetected until rupture occurs leading to aneurysmal subarachnoid hemorrhage (ASAH), a type of stroke with devastating effects. Early detection and preventive treatment of aneurysms fall short as we do not know who is it at risk and why, as we have insufficient insight in the contribution and interplay of genetic, environmental and intermediate phenotypic risk factors. Given the rarity of the disease, there is a paucity of large and rich cohorts to study risk factors separately with sufficient power. To add to the problem, my preliminary findings suggest disease heterogeneity with subgroup specific risk factors for aneurysms. The sex-related heterogeneity is most eminent in the disease with 2/3 of patients being women. I aim to advance disease understanding to allow early recognition of intracranial aneurysms to prevent ASAH.

I have established a new conceptual approach that integrates genetic and environmental risk factors with imaging markers as intermediate phenotypes for genetic factors. With data reduction and machine-learning approaches I will for the first time address disease heterogeneity and aneurysm risk with adequate power. I will develop and validate a tool to automatically detect new imaging markers predicting aneurysm development applying feature-learning models. Next I will elucidate the genetic basis underlying differential imaging risk patterns (imaging genetic factors). I will apply a new hypothesis-free strategy to detect and validate yet unknown environmental risk factors predicting aneurysm presence. I will assess the contribution to disease of all factors detected according to sex. All risk factors will be combined in an aneurysm prediction risk model to understand relative contribution of different risk factors in different subgroups. It will advance disease understanding and individualized risk prediction of aneurysms leading to precision medicine in early aneurysm detection to reduce the burden of ASAH.
Mitochondria in traumatic brain injury and mitochondrial-targeted multipotential therapeutic strategies

Traumatic brain injury (TBI) is a major health and socioeconomic problem throughout the world. It is a complicated pathological process that consists of primary insults and a secondary insult characterized by a set of biochemical cascades. The imbalance between a higher energy demand for repair of cell damage and decreased energy production led by mitochondrial dysfunction aggravates cell damage. At the cellular level, the main cause of the secondary deleterious cascades is cell damage that is centred in the mitochondria. Excitotoxicity, Ca(2+) overload, reactive oxygen species (ROS), Bcl-2 family, caspases and apoptosis inducing factor (AIF) are the main participants in mitochondria-centred cell damage following TBI. Some preclinical and clinical results of mitochondria-targeted therapy show promise. Mitochondria- targeted multipotential therapeutic strategies offer new hope for the successful treatment of TBI and other acute brain injuries.
How to steal food from predators – behavioural strategies of a scavenger

The ecological relationships between scavengers, predators and their prey can substantially influence their behaviour and population dynamics. Still, the impact of scavenging has been largely underestimated in food-web ecology. In this project I want to investigate the behavioural adaptations of a facultative and kleptoparasitic scavenger in relation to a predator. I aim to study one of the Northern hemisphere’s most widespread predator-scavenger system: wolves and ravens. In many areas wolves recolonize and increase the time period over which carrion is available and abundant overall. By using existing data on a large spatial scale, I will test and quantify for the first time, whether the recolonization of a top predator affects facultative scavengers like ravens at a population level; if this is the case, I will quantify these effects. Besides this, the main focus of this proposal is to identify which foraging and scrounging strategies ravens follow to locate and exploit wolf kills. I will create a unique dataset by GPS-tracking ravens in the Yellowstone National Park, in the same area where also wolves are intensively monitored and GPS-tracked. I will describe this predator-scavenger system and study the behavioural adaptations of ravens in relation to the wolves’ movements and predation. The collaboration with the Yellowstone wolf project - a natural ecosystem with minimal human impact - and the use of the latest tracking technology, the supervision by leading experts in animal movement analysis and my expertise on ravens lead to a synergic project, bigger than the sum of its parts, and will advance this field of research. Appropriate training, supervision and new collaborations will allow a significant improvement in my career perspective and enable me to become an independent researcher.
A Dynamic Reservation Scheme based on Online Charging System with Family Shared Plan

For simplifying the bills and controlling the data usage, Family Shared Plan (FSP) is now a popular plan of telecommunications. Based on 3GPP specifications, Online Charging System (OCS) has to determine Granted Unit (GU) and create reservations per session before the services are delivered by the serving network. However, fixed GUs can not be adapted to dynamic consumer behaviors, such as travel, watching FIFA World Cup all night or taking pleasure in a new online application. Obviously, short of GUs will make redundant signals of reservation, but excessive ones will cause scarcity of resource. Since how to determine GU is an open issue by telecommunications operators, we design a new scheme to periodically assign dynamical GUs for subscribers belong to same FSP, based on their data usage and shared monthly data allowance. Simulation results not only show that our algorithm can substantially reduce redundant signals more than 3 times, no matter what unpredictable behaviors they do, but also observe interrelation between logging time and cooldown timer in our scheme.