SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Role of id4 in the adult subventricular zone of normal and injured brain

The aim of this proposal is to propose a scientific research project and a training plan for Dr. Brenda Rocamonde. The scientific research project aims to understand the function of the transcriptional regulator Id4 in the adult subventricular zone (SVZ) under physiological and pathological conditions. The SVZ is one of the largest neurogenic niches of the adult brain, generating new neurons from neural stem and progenitor cells, throughout adulthood. This region is activated after brain injury, such as ischemic stroke. Inhibitor of DNA binding 4 (Id4) is a transcriptional regulator that acts by antagonizing transcription factors. In the developing brain, Id4 is required for neural progenitor cell proliferation and differentiation. However, the function of Id4 in the adult SVZ has not been reported. We have observed that Id4 is expressed in neural stem cells and cells of the neuronal lineage in the adult SVZ. We propose to use in vivo approaches to (i) determine Id4 function in the SVZ by loss and gain of function approaches, and (ii) evaluate its role in the response of the SVZ to ischemic stroke, a major cause of disability in Europe. This project, undertaken in an international research center and carried out by a talented fellow will provide insights into the mechanisms underlying the regulation of adult neurogenesis in the normal and injured brain. In addition, we are proposing a career development plan for Dr. Rocamonde that includes training on scientific and transferable skills. This plan will widen Dr. Rocamonde’s competences and provide her with the tools to become a leading independent researcher.
Determination of total mercury in bauxite and bauxite residue by flow injection cold vapour atomic absorption spectrometry

A simple method for precise and accurate determination of total mercury in bauxite and bauxite residue was developed by using the flow injection mercury system. Samples of the solid materials were first microwave digested in acidic and oxidising conditions to convert all mercury to an aqueous ionic form. Following filtration and dilution, ionic mercury was reduced to elemental mercury with acidic SnCl2 to produce a cold mercury vapour. The mercury absorbance calibration graph was linear up to 20μg·kg-1 with R2>0.999. The detection limits were determined to be 23ng·kg-1 and 17ng·kg-1 for bauxite and bauxite residue respectively. The relative standard deviation for 1μg·L-1 mercury standard solution (n=27) was 1.5%. In the absence of a certified bauxite reference material, accuracy of the method was tested with the closest available zinc concentrate reference material. Spiking known amounts of mercury in bauxite and bauxite residue samples was also tested; 95-111% recovery was obtained for both samples. The method developed in this paper is recommended for measuring total mercury in bauxite and bauxite residue.
SYSTEMS AND METHODS FOR PRODUCING OIL AND/OR GAS

A system for producing oil and/or gas comprising a system for producing oil and/or gas comprising a formation comprising a mixture of oil and/or gas and a carbon disulfide formulation and/or a carbon oxysulfide formulation; a mechanism for releasing a separating agent into the formation, the separating agent adapted to separate the oil and/or gas from the carbon disulfide formulation and/or the carbon oxysulfide formulation.
PENGARUH PENGEMBANGAN KARIR DAN KOMPENSASIFINANSIAL TERHADAP KEPUASAN KERJA SUBDIVISIPLATE MANUFACTURING PT YUASA BATTERYINDONESIA

Marisa Andriani, 2019; The Efffect of Career Development and Financial
Compensation on Job Satisfaction at Plate Manufacturing Subdivision of PT
Yuasa Battery Indonesia. Essay, Jakarta: Bachelor Degree Of Management,
Faculty of Economy, State University of Jakarta.
The purpose of the research are: To know 1) The description of career
development, financial compensation and job satisfaction at plate manufacturing
PT Yuasa Battery Indonesia, 2) To determine whether there is an influence of
career development on job satisfaction at plate manufacturing PT Yuasa Battery
Indonesia, 3) To determine whether there is an influence of financial
compensation on job satisfaction at plate manufacturing PT Yuasa Battery
Indonesia, 4) The research model of career development and financial
compensation in predicting job satisfaction at plate manufacturing PT Yuasa
Battery Indonesia. This research is taken 121 employees plate manufacturing
subdivision of PT Yuasa Battery Indonesia. The research using descriptive and
explanatory analysis. The techniques of data collection used survey method by
distributing questionnaires, and the data processed with SPSS 22. This results of
regression showed that there is positive influence and significant between career
development on job satisfaction, there is positive influence and significant
between financial compensation on job satisfaction. And research model of career
development and financial compensation can predict job satisfaction at plate
manufacturing PT Yuasa Battery Indonesia to the value of Fcount > Ftable
(222,974 > 3,07) and value of significant (0,000 < 0,05). R2 value or coefficient
of determination in the study amounted to 0.787 or 78.7%. This shows that career
development and financial compensation can predict significantly to job
satisfaction at plate manufacturing PT Yuasa Battery Indonesia by 78.7%.
Keyword: Career Development, Financial Compensation, Job Satisfaction.
PARTITION MOUNTING SYSTEM AND CLAMP ASSEMBLY FOR MOUNTING PARTITION

A system for mounting a partition, the system including a shoe with a slot for receiving an edge of the partition and an isolator that fits within the slot between the partition and a portion of the slot. A clamp assembly fits within the slot opposite the first isolator. The clamp assembly includes upper and lower blocks and, optionally, a center block. Surfaces of the blocks are angled with respect to each other so that drawing the upper and lower blocks toward each other will urge one of the blocks in one direction and the other block or blocks in the opposite direction. The blocks include engagement surfaces which engage a side wall of the slot and a side of the partition to selectively and releasably hold the partition within the slot.
Implications of market microstructure for realized variance measurement

Volatility measuring and estimation based on intra-day high-frequency data has grown in popularity during the last few years. A significant part of the research uses volatility and variance measures based on the sum of squared high-frequency returns. These volatility measures, introduced and mathematically justified in a series of papers by Andersen et al. [1999. (Understanding, optimizing, using and forecasting) realized volatility and correlation. Leonard N. Stern School Finance Department Working Paper Series, 99-061, New York University; 2000a. The distribution of realized exchange rate volatility. Journal of the American Statistical Association 96, no. 453: 42–55; 2000b. Exchange rate returns standardized by realized volatility are (nearly) Gaussian. Multinational Finance Journal 4, no. 3/4: 159–179; 2003. Modeling and forecasting realized volatility. NBER Working Paper Series 8160.] and Andersen et al. 2001a. Modeling and forecasting realized volatility. NBER Working Paper Series 8160., are referred...
Design and implementation of 20 kVA D-&#x03A3; digital controlled three-phase four-wire multi-function inverter system

This paper presents design and implementation of a 20 kVA division-summation (D-Σ) digital controlled three-phase four-wire multi-function inverter system. The inverter can be operated in grid-connected or stand-alone mode to act as a renewable-energy ac power-supply system. In the stand-alone mode, since the D-Σ digital control law includes load impedance estimation, the inverter can track sinusoidal output voltage under linear or nonlinear load. For the grid-connected mode and in order to achieve a specific PF and stabilize grid voltage and frequency, the D-Σ digital control law is supplemented by a droop control based linear P-Q compensation. Moreover, the D-Σ digital control law in this research is based on Two-Phase Modulation (TPM) scheme and associated with the switching sequence derived from space vector pulse width modulation (SVPWM) scheme. The inductance variation has been taken into account in the control-law derivation, reducing core size significantly. The analysis and discussion have been verified with measured results from a 20 kVA three-phase four-wire inverter system.
Real-time identification of material parameters for quadrangle parts intelligent bending

Real-time identification of material parameters is one of the most important elements in the process of intelligent bending control for quadrangle parts, the duration of real-time identification and the level of generalization accuracy would directly affect the realization of intelligent control. The scheme of control system of quadrangle parts intelligent bending has been advanced in this paper by using numerical simulation, database and neural network technology synthetically in order to control the springback of sheet metal effectively, and the real-time identification of material parameters as key technology was also researched. The feed forward neural network of real-time identification for material performance parameters and friction coefficient of quadrangle parts was established, which could real-time identify the needed material performance parameters through the real-time monitoring variable, and predict the optimal process parameters, which has achieved the satisfactory convergence precision. The experiment results of quadrangle parts intelligent bending show that the network model has a higher recognition and generalization accuracy, which could satisfy the requirements of intelligent control.
Cooperative and competitive parallel memory units for choice behaviors

This proposal seeks to understand the molecular and circuit mechanisms used to store information in parallel memory units, and how these memories are integrated to guide action selection. We will use the Drosophila mushroom body (MB), a key center for associative learning in insect brains, as a model system. We recently generated intersectional genetic drivers that allowed us to draw a comprehensive anatomical map and selectively manipulate nearly all of the MB’s ~60 cell types.
        Sparse activity in the 2,000 Kenyon cells of the MB represents the identity of sensory stimuli. Along the parallel axonal fibers of Kenyon cells, we have shown that dopaminergic neurons and MB output neurons form 16 matched compartmental units. These anatomically defined units are also units of associative learning: reward and punishment activate distinct subsets of dopaminergic neurons. 
        Our latest optogenetic activation experiments demonstrate that individual dopaminergic neurons independently write and update memories in each unit with cell-type-specific rules. We find extensive differences in the rate of memory formation, decay dynamics, storage capacity and flexibility to learn new associations across different units. Thus individual memory units within the mushroom body store different information about the same learning event. Together, these memories cooperatively or competitively represent the predictive value of sensory cues.
       We will now identify molecules and cell biological features that enable dopamine neurons to produce diverse forms of synaptic plasticity underlying distinct learning rules in different memory units. We will anatomically identify downstream neurons of the mushroom body output neurons that integrate information from parallel memory units, and make genetic drivers for them. Then, we will probe functions of these downstream neurons by imaging or manipulating their activity while flies retrieve and integrate memories for action selection.
Microbial invasion and dissemination within the host, mechanisms and effects

An infection is defined by the deleterious consequences of the interactions between a pathogen and a host. Thus, studying the biology of infection reveals critical properties of hosts and pathogens, and is a way forward to address basic biological questions and improve health.
We study listeriosis, a systemic infection caused by Listeria monocytogenes (Lm). Lm is a human foodborne pathogen that crosses the intestinal barrier, disseminates systemically, replicates in liver and spleen and reaches the central nervous system (CNS) and fetoplacental unit. Given the remarkable journey Lm makes in its host, studying listeriosis offers unprecedented opportunities to understand host cell biology, physiology and immune responses, guided by Lm. The mucosal, CNS and fetoplacental tropisms of Lm are shared by other microbes which pathogenesis is far less understood. Lm therefore stands as a unique model microorganism of general biological and medical significance.
The major challenge of this project is to go beyond reductionist approaches and embrace the complexity of actual infections.
We will use stem cell-derived organoids, live imaging, genetically engineered mouse models, the clinical and biological data from a unique cohort of 900 patients and the corresponding causative Lm strains, to investigate the molecular mechanisms of Lm tissue invasion, dissemination and host responses.
Specifically, we will (i) decipher the cell biology of microbial translocation across the intestinal epithelium; (ii) study the impact of microbial portal of entry on microbial fate, dissemination and host responses; (iii) harness Lm biodiversity to identify novel virulence factors and (iv) discover new host factors predisposing to invasive infections.
Building on the unique combination of advanced experimental systems and exclusive clinical data, this integrative and innovative project will reveal novel, physiologically relevant mechanisms of infection, with scientific and biomedical implications.
Integrated Approach to Flood Risk Management


Management of water resources is becoming, at a time of scarcity and climate change, more and more complex and is often subject to social tension among people living in the same territory. In this context, the role played by Civil Defence organisations is a key one. At the same time it is made even more difficult by the fact that the only available forecasting models are framed into the main river catchments, which are usually much larger than the smaller ones and the monitoring of which is often irrelevant for correct prediction of event evolution in minor or secondary catchments. 

The purpose of a flood forecasting system is to estimate the future states, especially runoff amounts and water levels of hydrologic systems. But a flood forecasting system seldom is a stand-alone construction. In fact, the overall objective for each flood forecasting system is to deliver warnings to the population at risk to reduce human and economic losses. It should therefore be integrated in a structure dedicated to flood warnings where flooding dynamic and effective and robust communication to Civil Defense are key elements to mitigate damages. 

Consequently, the main activity of the INARMA project will consist in developing common methodologies for the management of water emergencies and of there from deriving landscape risks. This objective involves the application of the non-structural interventions for water risk management contained in the recent EU Directive 2007/60 on sub-regional catchment basins, and enactment of the specific operational procedures followed by Civil Defense Organizations.
Deciphering the complex nature of log-file data collected during self-regulated learning with MetaTutor

MetaTutor is a multi-agent, adaptive hypermedia learning environment that trains and fosters high school and college students' use of self-regulatory processes in the context of learning about science topics such as human body systems. The purpose of the MetaTutor environment is to examine the effectiveness of pedagogical agents (PAs) as external regulatory agents used to detect, trace, model, and foster students' self-regulatory processes during science learning with multiple representations of information. The multi-agent system provides adaptive tutoring based on students' evolving conceptual understanding of the topic and their strategic use of cognitive and metacognitive processes. Each of the four agents is responsible for specific aspects of SRL, including task definition, planning, metacognitive processes, and learning strategies. Based on their specialized roles, each PA has been designed to detect a specific set of SRL processes. For example, Mary the Monitor is in charge of detecting when students deploy metacognitive processes and make metacognitive judgments such as expressing a judgment of learning (JOL; e.g., used in relation to judging one's understanding of the current content) and also in determining the valence (e.g., JOL - or JOL +) associated with the metacognitive judgment. The presupposition of an accurate detection method (by each agent) leads the agent to model the temporal dynamics associated with each SRL process, across all SRL processes, and how they relate to several learning outcomes such as declarative, procedural, and inferential knowledge and mental models of the science topic. This evolving model is then used to foster SRL and content understanding by providing several levels of scaffolding. Instructional scaffolding involves the coordination of other architectural modules of MetaTutor that coordinate and manage the dialogue system between agents and the learner. Instructional scaffolding is provided based on current research on human and computerized tutoring research (Chi et al., 2004; Graesser, D'Mello & Person, in press; VanLehn et al., 2007; Wolff, 2009) and recent studies comparing SRL with ERL (externally-regulated learning; Azevedo et al., 2007, 2008). The types of scaffolding range from having the learner vicariously watch as the agent models the SRL process to having the student use a specific SRL process while being provided with elaborate feedback regarding the effective use of the process (based on Zimmerman & Moylan, in press).
Effect of Ethephon on Growth and Yield Components of Fenugreek (Trigonella foenum-graecum L.) 1-Yield and Quality

This study was carried out in field trial for the winter season 2003-2004 in the silk house of the Department of Biology / College of Education to investigate the effect of ethephon concentration (0, 500, 1000, 1500, 2000, 2500, 3000, 3500, 4000) ppm with spraying at three growth stages (seedling stage, vegetative growth stage and first flowering growth stage) which correspond to ages (30, 60, 90) days, respectively on growth, yield components of local fenugreek (Indian helba). The design used is R.C.B.D. with three replicates. Treatment with ethephon (500) ppm increased biological yield, and there was no significant difference between dates of spraying. Number of pods per plant increased at ethephon 500 ppm with 1st spraying date having significantly advanced more than other dates. Ethephon at 500 ppm increased Harvest Index (H.I.) and 1st date has advanced more than 3rd spraying date. All of ethephon levels increased dry weight of pods as compared with control ethephon, and there was no difference between spraying dates. Length of pods increased at ethephon 500-1000 ppm, and 2nd spraying date has less effect than others.
Treatment with ethephon 500-1000 ppm increased no. of seeds/pod with 1st date having significantly advanced more than others. Ethephon at 500 ppm increased seeds weight/pod and there was no significant differences between spraying dates. Ethephon at 500ppm increased seed yield/m2, and 1st date has more significantly advanced than 3rd spraying date. Treatment with ethephon 1000ppm increased (1000 seeds weight), and 1st date was more advanced than others. Ethephon levels at 1500-2000 ppm increased protein % in the seeds and 3rd date was more advanced than others. Treatment with high levels of ethephon 4000 ppm increased oil% in seeds with 3rd date having more advanced than 1st date.
Analysis on evolving model with modular growth of urban roadway network topology structure

Purpose – The purpose of this paper is to explore the evolving mechanism of urban roadway network. With the consideration of self-organization effect and planning effect during evolution, the authors try to demonstrate the impact of preferential attachment, module scale and module structure on the evolving network model. Design/methodology/approach – The roadway network is built in the form of abstract network by dual approach. By using the evolving model of modular growth, the authors analyze the effects and mechanism of the evolving process. Then through numerical analysis, the impact of evolving effects on urban roadway network topology structure is discussed from the aspects of preferential attachment, module scale and module structure. Findings – The module structure property, small-world property and scale-free property of roadway network can be affected with various degrees by the change of preferential attachment and module scale. However, the impact of module structure on network properties is small, which can be ignored. Therefore, in practice, the self-organization effect and planning effect of evolving network can be reached by changing the preferential attachment and module scale, so as to generate the network structure with specific properties. Research limitations/implications – Some local events, such as road extensions, road demolition and intersection rebuilding, exist during the evolving process under real-world situation. While those cases have not been considered in preferential attachment. Therefore, researchers are encouraged to take these factors into consideration in further research. Practical implications – The paper has implications for practice in urban transportation planning and roadway constructions, which can help to guide the planning of urban roadway and to adjust or restore partial network when broken down according to the evolving law. Originality/value – The impact of preferential attachment, module scale and module structure on the evolving network model is measured. And the relationship between different network properties can be used to build some patterns of network. From this point of view, the development of urban roadway network can be predicted and intervened.
PROSTATE CANCER ASSOCIATED HUMAN FIBRONECTIN GENE AND BIALLELIC MARKERS

The invention concerns the genomic sequence of the Fibronectin gene. The invention also concerns biallelic markers of a Fibronectin gene and the association established between these markers and cancer, particularly prostate cancer. The invention provides means to determine the predisposition of individuals to cancer as well as means for the diagnosis of cancer and for the prognosis/detection of an eventual treatment response to agents acting on cancer.
INPUT DEVICE FOR CONTROL SIGNALS FOR CONTROLLING THE MOVEMENT OF AN OBJECT REPRESENTED ON A DISPLAY DEVICE AND GRAPHIC DISPLAY HAVING SAID INPUT DEVICE

The input device for control signals for controlling the movement of an obje ct represented on a display device is fitted with a housing (24) and three control signal generating devices (38, 40, 42) to generate first control signals. The input device also comprises three actuating organs (32, 34, 36) disposed orthogonally in relation to each other, wherein each organ is mount ed in such a way that it may be displaced linearly along a spatial axis (x, y, z) on or in the housing (24) and protrudes outwards above the housing (24) in t wo opposite areas of said housing (24). Each actuating organ (32, 34, 36) interacts with one of the control signal generating devices (38, 40, 42), wherein the control signal generating devices (38, 40, 42) generate the firs t control signals depending on the displacement position of the actuating orga ns (32, 34, 35). Spatial orientation of the housing (24) is recognized by a position recognition sensor (46) and representation on the display is adjust ed in correspondence with the position and location of the housing (24).</SDOAB >