SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Social science aspects of fisheries for the 21st century

SAF21 is an interdisciplinary and intersectoral network that embeds the social scientists of the future into EU fisheries management systems. It trains experts in analysis of human social behaviour for the better management of socio-ecological complex systems such as fisheries. Behaviour of fishers is complex as trust building and norms acceptance influence compliance with fishing regulations in unpredictable ways. The desired behaviour of fishers is often different from the actual subsequent one as those involved adapt to and find ways around new regulatory regimes, often with catastrophic consequences on resources. Therefore, an integrated understanding of the fine mechanisms governing fishers’ behaviour in relation with the regulative processes is needed, to the benefit of decision makers, fishing industry and the environment alike. Academic research and training have insufficiently reflected this need. SAF21 will contribute to rectifying this by training researchers in using tools of the 21st century, e.g. computational sociology techniques, to analyse this topic from a multitude of angles: public understanding of fisheries, trust and norms, social and regulative norms, social marketing of fisheries norms, stakeholders interaction in different management systems and socio-economic resilience. This knowledge will initiate the development of innovative management strategies, especially when it comes to shifting to new regulatory regimes. The wide-ranging training envisaged will offer a structured doctoral training in academic and transferable skills in addition to highly intersectoral non-academic mobility opportunities. Thus, the SAF21 candidates will have the necessary skills and experience to cross disciplines and work sectors. SAF21 will provide researchers the opportunity to fulfill their scientific social responsibility at a higher level than conventional doctoral programs, by ensuring significant time and training for public engagement and outreach.
Parameters Estimation of Complex Multitone Signal in the DFT Domain

In a previous paper, a method was introduced that used a system of linear equations to determine the frequency and the complex amplitude of a complex single tone signal. The system of linear equations was derived from the model of a complex single tone in the DFT domain and was used as parameters estimator in noisy conditions. In this paper, this approach is extended to a complex multitone signal. As for the complex single tone case, the parameters value is determine from the solution of systems of linear equations and the method is directly applied for parameters estimation in noisy conditions. An analysis of the estimators is provided, including the case of closely spaced frequencies, and criteria and procedures for the appropriate selection of the DFT samples are presented.
Targeted cell recruitment during organogenesis and regeneration: glia makes the tooth

Recently we discovered an entirely new phenomenon in developmental biology – targeted recruitment of stem cells from the pervasive peripheral nerves. For example, we demonstrated that majority of melanocytes – our pigment cells, are born from peripheral glial cells. To further extend this far-reaching principle we will use tooth development as a model. Current opinion holds that sensory innervation of the tooth has a minor or no role in making a structure of the tooth during development and adulthood. On the contrary, our preliminary data strongly suggest that sensory nerve contributes pulp cells and matrix-producing cells of odontoblast lineage to the growing tooth. Our hypothesis implies that nerve-associated glial cells can be recruited from the nerve by unknown molecules presented inside of the tooth environment, and that these recruited cells are capable of producing pulp cells and odontoblasts. 

WE PROPOSE TO ADDRESS THE ROLE OF A SENSORY NERVE AS A PROVIDER OF DENTAL STEM CELLS DURING THE DEVELOPMENT, ADULTHOOD AND REGENERATION.

To experimentally address our hypothesis we developed innovative and powerful approaches: we will use advanced genetics tracing with multicolor reporters, completely novel unconventional individual cell transcriptome analysis, transgenic mice with cell type-specific modifications in signaling, microsurgery and grafting, and, finally, 3D-imaging of developing tooth structures. 

This project is interesting to a wide community of scientists because it addresses a novel function of peripheral nervous system which is contributing stem cells as building blocks to local tissues in development and regeneration.
 
The MEDICAL IMPLICATION of this project will include better understanding of tooth regeneration providing new approaches to dentin recovery and tooth restoration following trauma.
Adapting Robot Soccer Game in Student Self-centered Learning

Abstract Robot soccer competition is a new learning method introduced in the Faculty of Information Science and Technology in the past two years. Previously, various friendly matches have been held between the National University of Malaysia team and Malaysian polytechnic students. However, not all of the students, especially the FTSM students felt the fun of the game. Therefore, the competition format is applied in two courses; TC2263 - Knowledge-based Systems and TR3343 – Real Time Systems. Parallel with the purpose of student self-centered learning method, assignments are given to the students to develop the best robot soccer game strategy. They only need to attend some lectures and laboratory sessions and they are given the opportunity to complete the remaining tasks individually until the day of the competition. There are three methodologies used in this research; the data taken during the in class competition where it is judged by external judges who are experts in robot soccer, the observation of the final grade, and finally the questionnaire through the Course Teaching Evaluation System provided by UKM. The application of robot soccer competition in this class has shown increased performance in analytical and critical thinking skills in problem solving, and programming skills and technical report writing. Besides that, the application of robot soccer competition can also realise self-centered learning among FTSM students.
Application of cognitive radio techniques to satellite communication

Applicability of cognitive radio (CR) techniques to satellite communications is investigated and classification for the possible applications is foreseen in this paper. The proposed application scenarios include a) secondary use of satellite spectrum by a terrestrial system, b) secondary use of terrestrial spectrum by a satellite system, and c) a hybrid scenario where terrestrial network coverage is expanded by the use of satellite spots. Key challenges and enabling technologies for each scenario are discussed. Link budget analyses and system simulations are used to define operational limits for interference management in the mentioned scenarios regarding spectrum sensing, transmission power control, and directional antennas. The results show that CR techniques should be applied with caution in satellite bands. However, obvious potential to improve the spectrum efficiency can be seen in each scenario.
Model-Based Vulnerability Testing for Web Applications

This paper deals with an original approach to automate Model-Based Vulnerability Testing (MBVT) for Web applications, which aims at improving the accuracy and precision of vulnerability testing. Today, Model-Based Testing techniques are mostly used to address functional features. The adaptation of such techniques for vulnerability testing defines novel issues in this research domain. In this paper, we describe the principles of our approach, which is based on a mixed modeling of the application under test: the specification indeed captures some behavioral aspects of the Web application, and includes vulnerability test purposes to drive the test generation algorithm. This approach is illustrated with the widely-used DVWA example.
Divided POMDP method for complex menu problems in spoken dialogue systems

In this paper, a problem in spoken dialogue systems namely the menu problem, is introduced and solved by a POMDP model. To overcome the large size of the menu problem, a new method for achieving an optimal policy called divided POMDP method is introduced. Conditions for the problem to be solved by the proposed method are specified and the problem properties resulting in the given conditions are presented. The proposed method is evaluated using a typical menu problem with different menu sizes and it is shown that this method is superior to the conventional methods such as FRTDP for the problems it is capable to solve. Moreover, it converges faster in getting to an optimal policy.
Adaptive bio-electronics for chronic cardiorespiratory disease

This consortium will pioneer disruptive technology for bio-electronic medicine to provide much needed therapies for cardiorespiratory and functional neurological disease. The technology implements small neural networks known as central pattern generators (CPG) to deliver fit-and-forget bio-electronic implants that respond to physiological feedback in real time, are safer, simpler, non-invasive, and have autonomy exceeding the patient lifespan.  Multichannel neurons will be made to compete on analogue chips to obtain flexible motor sequences underpinned by a wide parameter space.  By building large scale nonlinear optimization tools and using them to assimilate electrophysiological data, we will develop a method for automatically finding the network parameters that accurately reproduce biological motor sequences and their adaptation to multiple physiological inputs.  In this way, we will have resolved the issue of programming analogue CPGs which has long been the obstacle to using neural chips in medicine.  An adaptive pacemaker will be constructed, tested, validated and trialled on animal models of atrio-ventricular block and left bundle branch block to demonstrate the benefits of heart rate adaptation, beat-to-beat cardiac resynchronization and respiratory sinus arrhythmia.  By providing novel therapy for arrhythmias, heart failure and their comorbidities such as sleep apnoea and hypertension, CResPace will extend patients’ life and increase quality of life.
WATER PURIFIER FOR A POOL

The invention features a water purifier for purifying water in a pool having a volume less than about 13,500 gallons. In general, the water purifier (10) has a threaded fitting (22) that allows it to be removably-attached to a water-exchange fitting (20), preferably on the side of the pool. The water purifier contains a purification material for purifying the water. The purification material preferably can be a silver-containing material.
FPGA-GPU communicating through PCIe

In recent years two main platforms emerged as powerful key players in the domain of parallel computing: GPUs and FPGAs. Many researches investigate interaction and benefits of coupling them with a general purpose processor (CPU), but very few, and only very recently, integrate the two in the same computational system. Even less researches are focusing on direct interaction of the two platforms 1.This paper presents an implementation of a GPU-FPGA direct communication. The transfer is triggered by a central CPU but managed by the FPGA, in a DMA-like manner. An initial framework has been developed on a Virtex-5 FPGA, with a PCIe Gen1.1×1 setup, and demonstrates a 200MB/s data rate. A new implementation on Virtex-7 has been conducted, supporting Gen3.0×8, with a demonstrated throughput of up to 2.4GB/s in a Gen2.1×8 setup. Performance results between different hardware setups are therefore presented and compared. The various measurements demonstrate achieved data rates that are close to the theoretical maximum, with some interesting outliners, and a very low interfacing latency.
Biostabilization of Desert Sands Using Bacterially Induced Calcite Precipitation

ABSTRACTSand storms have become a growing global environmental issue and there is an urgent need to explore cost-effective green technologies to stabilize the sands of desert regions. In this study, the performance of a ureolytic Bacillus sp. for stabilization of sands was evaluated. The Bacillus sp. could efficiently consolidate sand particles by hydrolysis of urea and the subsequent production of calcite and aragonite minerals. The biostabilized sands had a high resistance to erosion by a 33 m s−1 wind speed even after 12-d exposure to freeze-thaw cycles. The compressive strength of biostabilized sands was dependent on the applied cell density and concentrations of Ca2+ and urea. High cell densities, urea and Ca2+ concentrations reduced the compressive strength. The optimal cell density, Ca2+ and urea concentrations were OD600 0.4, 15 mM and 20 g L−1, respectively, when performance and cost were considered. This study shows that biostabilization of sand based on microbially induced carbonate precipitati...
Origin of genomic instability: understanding the biological influence of inflammation in the initiation of pancreatic tumorigenesis

Inflammation is suspected to be the first step leading to cancer due to alcohol consumption or tobacco smoking between others. Little is known of how inflammation triggers genetic changes leading to tumorigenesis. Recently, I show that TGFb, a cytokine present during inflammation, is able to generate aneuploidy, polyploidy and plausible chromosomal rearrangements in breast cells. Such effects were mediated through the induction of the epigenetic reprogramming EMT. In view to understand how inflammatory signaling can affect the genome integrity, I design the project Onco-Inflammation, to study one of the most lethal cancer, the pancreatic ductal adenocarcinoma (PDAC), where therapeutic options are greatly limited. Using several mice models of pancreatitis, we will follow the establishment of genomic insults, and in particular focusing in whole genome doubling, nuclear envelope disruption and micronuclei. I will evaluate the genetic diversity present under pancreatitis and weigh the roles of the epigenetic re-programming Acinar-Dutual-Metaplasia as well as the oncogene KRAS, using high-resolution 3D imaging, as well as single cell CNV analysis (Aim1). I will also study the common pathways activated in newly aneuploid cells, in view to find some specific therapeutic target. (Aim2). Several pathways will be tested in an attempt to block cancer initiation and progression. Results will be tested and validated using human samples (Aim 3). At the Host Institution, I will greatly benefit and learn from the scientific guidance from my supervisor, expert in pancreas biology as well as experts in mitosis, genetic instability and bioinformatics. MSCA-IF will be instrumental to develop this initial hypothesis into deeper biological understanding the inflammation and cell plasticity’s roles on genomic instability and represent a crucial support to transition into an independent academic career.
Evolution of the social brain: how social complexity affects individual cognition in ants

This project aims to answer a significant open question in evolutionary neurobiology: how social complexity shapes the brain structure, its associated metabolic costs, and the behavioural capability of individual members of a society. The Social Brain Hypothesis proposes that the complexity of living in group influences encephalization in vertebrates, but this theory has not been critically tested in invertebrate species. Social insects such as ants have miniaturized brains that nevertheless support highly coordinated collective behaviour and striking individual cognitive abilities. This collective behaviour produces an “externalized” distributed processing of information that may reduce energetic expenses in individual brains.  

We propose to address this question through the study of brain metabolic costs of ant foragers under different conditions of sociality. We will examine the effect of distributed information processing (such as the use of pheromones trails to coordinate group activity) on individual cognitive abilities (such as learning) and the energetic costs of specialized brain compartments that underlie behaviour. Our interdisciplinary methodology will combine techniques applied to the study of collective animal behaviour (individual tracking in collective choice and foraging experiments) and neurobiology (immunohistochemistry and neuroanatomical scaling, cytochrome oxidase staining and learning assays) in sister clades of ants that show strong differences in social complexity and thus the relative roles of individual workers and cooperative groups. This novel and integrated approach will allow us to analyze the evolutionary relationship between social complexity and brain evolution.
Deep learning for dynamic 3d visual scene understanding

Over the past 5 years, deep learning has exercised a tremendous and transformational effect on the field of computer vision. However, deep neural networks (DNNs) can only realize their full potential when applied in an end-to-end manner, i.e., when every stage of the processing pipeline is differentiable with respect to the network’s parameters, such that all of those parameters can be optimized together. Such end-to-end learning solutions are still rare for computer vision problems, in particular for dynamic visual scene understanding tasks. Moreover, feed-forward processing, as done in most DNN-based vision approaches, is only a tiny fraction of what the human brain can do. Feedback processes, temporal information processing, and memory mechanisms form an important part of our human scene understanding capabilities. Those mechanisms are currently underexplored in computer vision.

The goal of this proposal is to remove this bottleneck and to design end-to-end deep learning approaches that can realize the full potential of DNNs for dynamic visual scene understanding. We will make use of the positive interactions and feedback processes between multiple vision modalities and combine them to work towards a common goal. In addition, we will impart deep learning approaches with a notion of what it means to move through a 3D world by incorporating temporal continuity constraints, as well as by developing novel deep associative and spatial memory mechanisms.

The results of this research will enable deep neural networks to reach significantly improved dynamic scene understanding capabilities compared to today’s methods. This will have an immediate positive effect for applications in need for such capabilities, most notably for mobile robotics and intelligent vehicles.
Grant for the maintenance of artistic and literary creative activity of the company – TADEUSZ sweet

The company’s problems with the outbreak of the pandemic: The outbreak of the pandemic resulted in the closure of all schools and philharmonics. There were no concerts and performances. It translated into a complete cut-off of my business from the source of income. Without regular speeches, I lost clients who used my soldering services – renovation, correction and maintenance of instruments. In addition to the income that met my basic expenses related to everyday life, I lost my resources for running and developing the studio. All repairs of the workshop had to be postponed. The need to implement the project: The grant from the project will be used to cover the necessary expenses, purchase materials for the creation, repair and maintenance of instruments, will allow for the maintenance of business activity during this difficult period of several months and the resumption of works related to the improvement of the workshop.
Effect of Underground-Type Ammunition Magazine Construction in Respect of Civil and Military Coexistence

Recently, rapid urban development and changes in the national defense environment have required civil–military coexistence plans. In particular, this is an urgent issue for ammunition magazines, which have the widest range of military protection zones among military facilities because of the safety distance standard and their location at transportation hubs. In this study, fundamental research was conducted on underground-type ammunition magazines for the sake of the sustainable civil and military developments. First, the effects of reducing the safety distance for underground-type ammunition magazines, compared to that for ground-type ammunition magazines, were evaluated. Economic and environmental effects expected by substituting underground-type ammunition magazines for ground-type ammunition magazines were analyzed based on the results. Then, design methods of the underground-type ammunition magazine that effectively reduce the safety distance were suggested by performing numerical simulations. The installation of chambers at different depths and the application of technologies to reduce explosion pressure inside the chambers were discussed. Finally, an endowment and concession project method was analyzed based on the previous researches as the most efficient way of implementing the project of an underground-type ammunition magazine. It was concluded that research to specify design methods for underground-type ammunition magazines was urgently required to vitalize future underground-type ammunition magazine projects.
Mejora de la capacidad de producción de STEFANI STIL EOOD

La propuesta de proyecto prevé la puesta en marcha de un centro de mecanizado CNC tipo 1-1; Centro de mecanizado CNC tipo 2-1; Sistema de aspiración — 1 PC; Centro de mecanizado CNC tipo 3-1; CNC Drilling Center — 1 pc. y Packet-Designing CNC Circular — 1 pcs., que tiene como objetivo ampliar la capacidad de producción de la empresa, aumentar su productividad, aumentar la eficiencia de la producción, ampliar su posición en el mercado y estimular las exportaciones. El proyecto incluye actividades para mejorar los procesos de producción y actividades para la implementación de nuevas tecnologías para mejorar la eficiencia y eficiencia de los recursos en el proceso de producción. La necesidad de las actividades previstas en el proyecto viene determinada por los principales problemas actualmente definidos: aumento del coste de los productos y elevados costes de producción; ampliación de la duración del proceso de producción debido a la necesidad frecuente de reproducción de las piezas desguazadas y a la ejecución manual de parte de las operaciones; velocidad y precisión insuficientes en el corte, perforación y fresado; falta de un sistema eficaz de desempolvado y eliminación de residuos perjudiciales para la salud de los locales; necesidad en la producción de alta serie de equipos de alta tecnología con un excelente rendimiento tanto para la precisión como para la velocidad de ejecución. Como resultado de la ejecución del proyecto se mejorarán los procesos de producción; aumentar la eficiencia de los costes de producción; se mejorará la calidad de la producción y se reducirá su precio de coste; mejorar la eficiencia de los recursos de la empresa; los materiales alternativos se desplegarán como materia prima para la producción de forma desconocida. Estas tendencias positivas apoyarán el desarrollo de la empresa y estimularán las ventas tanto en el mercado nacional como en el extranjero.
CLAMP HOLDER FOR FIXING CONNECTING RODS AND/OR SLIDE RAILS WITH SLIDING ELEMENTS GUIDED THEREON

The invention relates to a clamp holder (1) for fixing slide rails for bearing rods or stay bars to a stationary substructure, wherein said clamp holder (1) envelopes the slide rail, the bearing rod or stay bar (2) with a slide rail receiving element by more than half of its extension in a non-positive manner. The invention is characterized in that a hollow-cylindrical extension (4) of the slide rail receiving element (2) grasps both an adjustment bearing (7) and a fixing element (6) on the outside, wherein the hollow-cylindrical extension (4) is fixed in an axially non-relocatable manner in the adjustment bearing (7) and in an anti-rotational manner in a pot-shaped fixing bush (8) of the fixing element (6).