SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Chance-Constrained Dynamic Programming for Multiple Water Resources Allocation Management Associated with Risk-Aversion Analysis: A Case Study of Beijing, China

Water shortage and water pollution have become major problems hindering socio-economic development. Due to the scarcity of water resources, the conflict between water supply and demand is becoming more and more prominent, especially in urban areas. In order to ensure the safety of urban water supply, many cities have begun to build reservoirs. However, few previous studies have focused on the optimal allocation of water resources considering storage reservoirs. In this study, a multi-water resources and multiple users chance-constrained dynamic programming (MMCDP) model has been developed for water resources allocation in Beijing, China, which introduces reservoir and chance-constrained programming into the dynamic programming decision-making framework. The proposed model can distribute water to different departments according to their respective demands in different periods. Specifically, under the objective of maximal benefits, the water allocation planning and the amount of water stored in a reservoir for each season under different feasibility degrees (violating constraints or available water resources situations) can be obtained. At the same time, the model can be helpful for decision-makers to identify the uncertainty of water-allocation schemes and make a desired compromise between the satisfaction degree of the economic benefits and the feasibility degree of constraints.
TECHNIQUE FOR DETERMINING A SWALLOWING DEFICIENCY

The invention relates to a device for assessing the characteristics of the swallowing process in a subject a sensor that is capable of detecting vibrations of the throat during swallowing.
Two-proton decay of12O and its isobaric analog state in12N

Following neutron knockout from an ${}^{13}$O beam, ${}^{12}$O fragments were created and the three decay products following two-proton decay were detected. A new ground-state mass was determined by the invariant mass method implying a decay kinetic energy of 1.638(24) MeV, and the width was found to be less than 72 keV. The latter is inconsistent with previous measurements with lower experimental resolutions but consistent with theoretical estimates. The isobaric analog of ${}^{12}$O in ${}^{12}$N was produced from proton knockout reactions with the same beam and decayed by two-proton emission to the isobaric analog state in ${}^{10}$B with a decay kinetic energy of 1.165(29) MeV. It represents only the second case of an analog state where two-proton decay is the only isospin- and energy-conserving particle decay mode. With our measurements of the mass excesses of ${}^{12}$O and its analog, the quadratic form of the isobaric multiplet mass equation was found to fit the $A=12$ quintet and any deviations are less than the magnitude found for the $A=8$ quintet and $A=7$ and 9 quartets.
[New infection rate of bovine mammary glands after application of an internal teat seal at dry off].

The internal teat sealant OrbeSeal (Pfizer Animal Health) should prevent new IMI throughout the dry period. The aim of our field studies was to determine the efficacy of infusion with an internal teat seal at dry off in reducing new intramammary infections during the dry period in relation to an untreated control. In experiment 1 128 cows were enrolled from 24 dairy herds in Lower Saxony. Prior to final milking, all quarters were sampled for bacteriological culture and SCC analysis in three weekly intervals. After final milking, all 4 quarters of test group animals were infused with a commercially available internal teat seal. Following calving quarter milk samples were collected between 1 to 3 DIM and again between 8 to 10 and 15 to 17 DIM for culture and SCC analysis. The rate of new IMI during the dry period was 7.4% of quarters in the OrbeSeal-group and 12.7% in the control group, resp. In experiment 2 the new infection rate of udder quarters treated with OrbeSeal was evaluated in a split udder design with 93 cows healthy on all four udder quarters from six dairy farms in North Germany. In this study the front right and rear left udder quarters were treated, while both other quarters served as control. Applied methods occurred like in experiment 1. Here a new infection rate of 2.8% (OrbeSeal group) and in the control group a new infection rate of 11.5% was reached (P < 0.05).
Defining the role of arp2/3 complex diversity at multiple scales of biology

The actin cytoskeleton of the cell is critical for the complex, integrated processes associated with development, operation and sustainability of the human body. The Arp2/3 complex consisting of seven protein subunits is essential to stimulate dynamic branched actin networks needed for multiple cellular processes. The Arp2/3 complex has always been considered as a single entity, but in humans and other mammals, three of the Arp2/3 complex subunits are encoded by two isoforms, thus allowing the formation of eight distinct Arp2/3 complexes. The Way lab has shown that Arp2/3 subunit composition dramatically affects the formation and stability of branched actin networks. The Way and Gomes labs have shown how specific Arp2/3 isoforms are essential for muscle development.

Our synergistic, high-risk, high-gain goal is to define the role of Arp2/3 complex diversity at three hierarchies of biology:

1. Molecular basis of Arp2/3 diversification
With purified isoform-specific complexes we will perform cryo-electron microscopy and single molecule fluorescence microscopy to reveal the structural variations and influence of Arp2/3 diversity on actin networks in vitro.

2. Cellular function of different Arp2/3 complexes
With cells expressing specific Arp2/3 isoforms, we will use quantitative live cell imaging and cryoelectron tomography to reveal the dependence of cellular actin networks on Arp2/3 diversity and its functional consequences.

3. Developmental and physiological role of individual Arp2/3 complexes. 
With genetically modified cultured myofibers and transgenic mice, we will use an array of imaging approaches to reveal the contribution of different Arp2/3 family members to muscle development, structure and physiology.

Our interdisciplinary plan builds on the strengths of our three labs, takes advantage of unique reagents and powerful model systems, and will allow us to determine how Arp2/3 diversity contributes to biological complexity at multiple scales.
Collection and Utilization of Animal Carcasses Associated with zoonotic Disease in Tshuapa District, the Democratic Republic of the Congo, 2012

The collection and consumption of animal carcasses is a common activity in forested areas of the Congo River basin and creates sustainability, conservation, and health concerns. Residents of the Tshuapa District reported collecting the remains of 5,878 animals from >30 species when surveyed about their wildlife consumption habits. Carcasses were discovered in varying degrees of decomposition and were often consumed at home or sold in local markets. The most commonly collected animals were Cricetomys gambianus (Northern giant pouched rat), Cercopithecus ascanius (red-tailed monkey), and Heliosciurus rufobrachium (red-legged sun squirrel). Many of the species recorded may be hosts of zoonotic pathogens, creating concern for spillover events.
Scientific large-scale infrastructure for computing/communication experimental studies – starting community

Today we are experiencing the digital transformation happening with an unprecedented pace, with the community constantly researching on new solutions to support this transformation with ample computational power and connectivity. Towards addressing such research efforts, Research Infrastructure (RI) specific to addressing Digital Sciences research efforts have been deployed worldwide, towards trying to address key aspects contrary to off-the-shelf commercial infrastructure: 1) Full control over the parameters of an experiment, 2) Repeatable experiments regardless of the physical infrastructure, 3) Valid experimental results, which are easy to cross-reference and replicate. As such, several RIs have emerged, offering experimentation services with bleeding edge resources, that otherwise are only offered only in industrial R&D laboratories, with limited functionality. Towards combating these issues, SLICES Research Infrastructure is about to be deployed, aiming to provide high quality experimentation services with emerging technologies around the area of digital sciences (5G/6G, NFV, IoT and Cloud Computing), in an Internet-scale setup. With SLICES-SC, we aspire to foster the community of researchers around this ecosystem, create and strengthen necessary links with relevant industrial stakeholders for the exploitation of the infrastructure, advance existing methods for research reproducibility and experiment repeatability, and design and deploy the necessary solutions for providing SLICES-RI with an easy to access scheme for users from different disciplines. A set of detailed research activities has been designed to materialize these efforts in tools for providing transnational (remote and physical) access to the facility, as well as virtual access to the data produced over the facilities. The respective networking activities of the project aspire in fostering the community around these infrastructures, as well as open up to new disciplines and industrial stakeholders.
E-HUILE EN LIGNE DE L’HUILE D’OLIVE EXTRA VIERGE ITALIENNE

LE PROJET D’HUILE ÉLECTRONIQUE? VISANT À CONCEVOIR ET À METTRE EN ŒUVRE UNE PLATE-FORME POUR LA PROMOTION ET LA COMMERCIALISATION EN LIGNE DE L’HUILE D’OLIVE VIERGE EXTRA (CI-APRÈS «HUILE D’EVO») PRODUITE PAR DE PETITES ENTREPRISES D’OLIVIERS DISTRIBUÉES DANS L’ENSEMBLE DU TERRITOIRE
Economia dell’imperduto

Quali sono i valori dei quali si occupa oggi chi lavora a progetti di rigenerazione urbana? Probabilmente l’aspetto economico, quello sociale e quello di gestione dei processi vanno completati sempre più con un’attenzione nuova a valori che sfuggono alla concezione corrente dello scambio tra esseri umani. Tale attenzione richiede un nuovo tipo di competenza o forse la riscoperta di competenze già acquisite che potrebbero essere utilizzate in maniera differente. Il caso nanchinese dell’isolato di XiaoXiHu, tema di corsi universitari, di ricerche di analisi urbana e di procedure di progetto innovative, può fornire indicazioni importanti. Il ritorno della Cina ai regimi di proprietà non è stato soltanto un salto di paradigma nelle condizioni della finanza e del mercato, ma (forse paradossalmente) anche la riscoperta di una sorta di economia dell’imperduto.
Género y movilidad humana: mujeres migrantes en Italia entre desafíos y oportunidades

El contenido de este artículo se basa en los resultados de la investigación desarrollada en el marco del Proyecto internacional VIW (Voices of Immigrant Women), interesado en la movilidad humana transnacional con particular referencia a migraciones femeninas y a cuestiones de género en Europa. Al mismo tiempo que se abordan algunas de las principales categorías surgidas de la investigación empírica realizada con mujeres migrantes, especial atención se presta al conjunto de desafíos, oportunidades y posibles soluciones a las que se encuentran las mujeres migrantes durante su experiencia migratoria. El artículo quiere destacar el importante papel de las redes, por un lado, y de las estrategias de inclusión social que las mujeres migrantes ponen en práctica, por otro, en los procesos de superación de los desafíos enfrentados y de identificación de las oportunidades que ofrece el contexto social en el que se encuentran viviendo en la emigración.
Effects of Fishing Activities on the Academic Performance of Teenagers in Riverine Areas of Nigeria: Implications for Educational Development Policy in Nigeria

This study examined the effects of fishing activities and socio-economic characteristics of teenagers who engage in fishing on their academic performance in Ibeno Local Government Area (L.G.A.) of Akwa Ibom State, Nigeria. Two communities were purposively selected and stratified random sampling was used to select fifty six teenage students who participate in fishing industry/activities. Sources of primary data were structured questionnaires and interviews. Analytical techniques used are descriptive statistics and logit regression technique. Results show that academic performance is statistically and inversely related to frequency of fishing per week and family size but directly and significantly related to fishing as a means of supporting academics. Recommendations include a national population policy option aimed at reducing family size and encouraging non-governmental organizations, philanthropists as well as business corporations to work unitedly with different levels of government in providing free education at lower levels and scholarships for higher studies to ease the suffering of teenagers who fish to support/finance their education.
Service programing and orchestration for virtualized software networks

Virtualisation and software networks are a major disruptive technology for communications networks, enabling services to be deployed as software functions running directly in the network on commodity hardware. However, deploying the more complex user-facing applications and services envisioned for 5G networks presents significant technological challenges for development and deployment. SONATA addresses both issues.

For service development, SONATA provides service patterns and description techniques for composed services. A customised SDK is developed to boost the efficiency of developers of network functions and composed services, by integrating catalogue access, editing, debugging, and monitoring analysis tools with service packaging for shipment to an operator.

For deployment, SONATA provides a novel service platform to manage service execution. The platform complements the SDK with functionality to validate service packages. Moreover, it improves on existing platforms by providing a flexible and extensible orchestration framework based on a plugin architecture. Thanks to SONATA’s platform service developers can provide custom algorithms to steer the orchestration of their services: for continuous placement, scaling, life-cycle management and contextualization of services. These algorithms are overseen by executives in the service platform, ensuring trust and resolving any conflict between services.

By combining rapid development and deployment in an open and flexible manner, SONATA is realising an extended DevOps model for network stakeholders.

SONATA validates its approach through novel use-case-driven pilot implementations and disseminates its results widely by releasing its key SDK and platform components as open source software, through scientific publications and standards contributions, which, together, will have a major impact on incumbent stakeholders including network operators and manufacturers and will open the market to third-party developers.
Enhancing human performance in complex socio-technical systems

Rapid technological development within the maritime industry has improved efficiency, productivity and safety. However, this advancement is creating increasingly complex socio-technical systems, for which training has left human operators ill-prepared. Over 75% of all maritime accidents are attributed to human error, and smaller crew are handling more complex tasks. If safety is to be maintained or improved, it is vital to equip crew with the skills needed to manage them effectively.
ENHANCE specifically investigates these issues for maritime applications by utilizing knowledge sharing between process and maritime industries. We will bring together the expertise of engineers, psychologists, human factors specialists and operators to generate solutions to cope with technological development. The project has two main objectives: a) to better understand the human role in complex socio-technical systems through close collaborations between the academic and non-academic sectors; and b) to develop new training and performance assessment methodologies designed to enhance the human performance.
To ensure knowledge transfer, ENHANCE will connect academics and industry through an extensive secondment programme. This will bring together expert academic knowledge of advanced training techniques with the needs of the maritime industry and the best practice of the process industry. We will share knowledge across academia and industry, across sectors and across continents. Ultimately, this research will enable the maritime sector to improve the performance of humans within their complex socio-technical systems. This, in turn, will reduce the frequency and severity of incidents, reducing the negative social, economic and environmental impact of the sector. In addressing the needs of the maritime industry, we will also generate new cross disciplinary research initiatives, new career paths for researchers and new opportunities for long-term industry-academia collaboration.
A generalized sinusoidal frequency modulated waveform for active sonar

Pulse-Compression or Frequency Modulated (FM) active sonar waveforms provide a significant improvement in range resolution and reverberation suppression over Continuous Wave (CW) waveforms. The Sinusoidal FM (SFM) waveform modulates its instantaneous frequency (IF) by a sinusoid to achieve high Doppler sensitivity while maintaining desirable reverberation suppression. This allows the SFM waveform to resolve target velocities much better than the Doppler tolerant Hyperbolic FM waveform. However, the SFM suffers from poor range resolution as the Auto-Correlation Function (ACF) contains many ambiguous peaks generated by the periodicity of the SFM’s IF. The periodic sidelobes in the ACF for the SFM signal are similar to those exhibited by periodic CW waveforms, which motivated the development of FM waveforms to improve range resolution. This suggests that modifying the SFM waveform to use an aperiodic modulating function should improve range resolution while preserving Doppler sensitivity. This talk presents an active sonar waveform where the IF function is itself an FM chirp waveform, and for which the SFM is a special case. This generalized sinusoidal FM waveform resolves target range and velocity with reverberation suppression comparable to other well-established FM waveforms. [Work supported by ONR and the SMART Program.]
Urban modelling in higher dimensions: embedding generalisation of 3d data in a 4d model

Geographic data about urban objects (buildings, roads) is needed to monitor and control processes within modern urban areas (noise, flooding, energy demand-supply). As these processes occur in 3D, urban applications require 3D data and each application requires its own specific semantic and geometric Level of Detail (LoD) of the 3D data.
The scientific challenge of this project is that it requires enormous efforts to collect and transform 3D data to make it suitable for a specific application. Urban applications are therefore forced to work mainly in 2D. This reduction causes the loss of important information. A solution is needed to support the reuse of once collected 3D data in multiple applications.
I will develop a fundamental solution for providing 3D data at application specific LoDs to solve the current problem of independently acquired and stored LoDs of a 3D urban model. To enforce consistency across dimensions, the LoDs will be modelled as an extra dimension to the 3D spatial dimensions in an integrated 3D+LoD (4D) model. I will use an innovative method that goes far beyond the state-of-the-art by introducing higher dimensional (nD) mathematical models to the well-established domain of cartographic generalisation in 2D. Furthermore, I will study 3D generalisation solutions to derive coarse from fine data and embed these in the 4D model. “Slicing” operations will be developed that reduce the dimensions of the 4D data to generate error-free 3D data at application specific LoDs.
LoD is strongly related to map scale, a well-known concept in GIS. However, modelling it as an extra dimension of geographic data is new. In addition, the intermediate results have the potential to advance the field of geo-information technology, such as the ground-breaking extension of the 2D cartographic generalisation domain to 3D. If successful, the 4D approach opens a new horizon for modelling parametrisable aspects of urban environments, which may establish a new research line.
Clean energy from ocean waves

The most advanced wave power demonstrations today have showed the feasibility of power generation with single device deployments and MW-scale performance within several testing periods of several years. The next step beyond this is to deploy multiple wave energy converters in MW-scale with improved power generation capability and demonstrate that they are able to survive rough sea conditions over a period of several years. Clean Energy From Ocean Waves (CEFOW) project has an exceptionally good starting point. It has an existing site reservation in a wave power testing centre called Wave Hub, with all the needed infrastructure, including grid connection already in place. In addition, the wave energy converter technology to be deployed in the project has already been tested and proven in real conditions in Scotland.

The ultimate purpose of the CEFOW is to increase the speed of wave power development, decrease the levelised cost of ocean energy by improving technical solutions used for multiple device system, and create an efficient supply chain to support larger wave power projects in the future. To reach these targets, the CEFOW consortium will improve the wave energy converter performance by 50% and raise its availability to 70%; develop new types of dynamic mooring and electrical connections suitable for multi-device deployment and deploy 3MW (three 1MW units) wave energy converters in real world offshore conditions in a grid-connected testing environment. In addition, CEFOW will study the feasibility of on-board and on-shore storage solutions and conduct thorough multi-year environmental, health and safety studies.

The consortium spans the full value chain from research organisations to wave converter technology developers, marine service providers and a large multinational utility company as the operator.