SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Vibrational frequency shift of 1-alkyl-3-methylimidazolium tetrafluoroborate ionic liquids under high pressure

Abstract The Raman band belonging to the totally symmetric stretching mode of the [BF4]− anion, νs(BF4), in 1-alkyl-3-methylimidazolium ionic liquids, [CnC1im][BF4], n = 4, 6, and 8, has been measured under high pressure using a diamond anvil cell. The pressure dependence of νs(BF4) frequency up to 2.0 GPa is converted to a function of density using high pressure extrapolations of equations of states as discussed in previous works. The density induced shift of the νs(BF4) frequency was calculated by a perturbed hard-sphere model by considering the probe oscillator as a pseudo-diatomic molecule. In contrast to previous findings for the stretching mode of [PF6]− in [CnC1im][PF6] ionic liquids, for which the calculation considered only the repulsive short-range forces, in the case of [CnC1im][BF4] the calculation indicates the role played by the attractive forces on the νs(BF4) frequency shift.
SYSTEM EMPLOYING CLOCK SIGNAL GENERATION AND SYNCHRONIZATION TECHNIQUE

A system (405) employing synchronous clock signals utilizes the distribution of a fast clock signal (424,425) along a forward path to clock generators for providing standard clock signals, and a recovery of such signal via a return path (445,455). The fast clock signal has a distinguishable portion, such as a periodic missing pulse or other anomaly, which is used to determine delay characteristics for the fast clock signal to the clock generators. A controllable delay corresponding to the forward path is adjusted, based on the determined delay characteristics, to synchronize delivery of the fast clock signal to the clock generators. Preferably, a significant portion of the clock generation and distribution system is formed on a semiconductor structure have a combination of compound semiconductor material and Group IV semiconductor material.
Generation of Aircraft Intent Based on a Microstrategy Search Tree

This paper presents a novel approach for the generation of an aircraft intent that unambiguously describes the behavior of the aircraft during a flight. This behavior is the result of modeling the piloting strategies used by an automation system, such as a flight management system or a pilot, to comply with the set of prescribed constraints included in a flight plan or an aircraft mission description. The corresponding four-dimensional trajectory can be later computed from this aircraft intent. Special focus is given to the generation of vertical profiles. This approach is inspired by search strategies used in artificial intelligence: a search tree is generated to evaluate possible maneuvers at each point; and microstrategies are used to build this tree and decide what maneuvers might be possible. It will be shown that this process is flexible enough to meet the needs of many applications of trajectory prediction. Specifically, its modular design allows changing elements of the intent generation process to fit very different scenarios, from commercial airliner flights to unmanned aircraft flights.
Engineering Redox Potential of Lithium Clusters for Electrode Material in Lithium-Ion Batteries

Low negative electrode potential and high reactivity makes lithium (Li) ideal candidate for obtaining highest possible energy density among other materials. In this work we show a novel route with which the overall electrode potential could significantly be enhanced through selection of cluster size. Using first principles density functional theory and continuum dielectric model, we studied free energy and redox potential as well as investigated relative stability of Lin (n ≤ 8) clusters in both gas phase and solution. We found that Li3 has the lowest negative redox potential (thereby highest overall electrode potential) suggesting that cluster based approach could provide a novel way of engineering the next generation battery technology. The microscopic origin of Li3 cluster’s superior performance is related to two major factors: gas phase ionization and difference between solvation free energy for neutral and positive ion. Taken together, the present study provides insight into the engineering of redox potential in battery and could stimulate further work in this direction.
Determination of new directions of development of the Production and Trade Company Komserwis Piotr Dworak

The subject of the project is the purchase by Przedsiębiorstwo Produkcyjno-Handlowe Komserwis Piotr Dworak, an advisory service in the field of monitoring and forecasting market trends, in particular analysis aimed at diversifying revenues. The aim of the project is to identify the directions for further development of the company, due to the limitation that is currently the lack of more customers ensuring the diversification of revenues. The applicant plans to adjust the offer to focus efforts and resources on actions with the highest efficiency in customer acquisition and maximum profitability. It is necessary to build a new offer of the company, in which an advisory service will play an essential role. Thanks to it, the company will receive appropriate information to determine the directions for further development of PPH Komserwis Piotr Dworak. It is planned to be ok. 240 hours of consultancy in the following areas: 1. Implementation of strategic workshops with key people in the company 2. Conducting a competition survey on the market of pre-selected new services 3. Support PPH Komserwis Piotr Dworak in verification of a preselected service palette 4. Preparation of the initial offer and business models for the provision of selected services 5. Support PPH Komserwis Piotr Dworak in preparation and verification of preliminary marketing materials for selected services 6. Carrying out a market analysis for individual services selected in the previous stages 7. Concreteisation of the finalised range of services based on the results of the initial survey on the sample of customers The project has a neutral impact on the implementation of EU horizontal principles, e.g. in Articles 7 and 8 of Regulation (EU) No 1303/2013 of the European Parliament and of the Council of 17.12 2013.
Optimization and Clinical Feasibility of Free-breathing Diffusion-weighted Imaging of the Liver: Comparison with Respiratory-Triggered Diffusion-weighted Imaging

We compared the image quality of free-breathing diffusion-weighted imaging (FB-DWI) to that of respiratory-triggered DWI (RT-DWI) after proper optimization.Three healthy subjects were scanned to optimize magnetic resonance (MR) parameters of FB-DWI to improve image quality, including spatial resolution, image noise, and chemical shift artifacts. After this optimization, we scanned 32 patients with liver disease to assess the clinical feasibility of the optimized FB-DWI. Of the 32 patients, 14 had a total of 28 hepatocellular carcinomas (HCCs), four had a total of 15 metastatic liver tumors, and the other 14 had no tumor. Qualitatively, we compared the image quality scores of FB-DWI with those of RT-DWI with the Wilcoxon signed-rank test. Quantitatively, we compared the signal-to-noise ratios (SNRs) of the liver parenchyma, lesion-to-nonlesion contrast-to-noise ratios (CNRs) and apparent diffusion coefficient (ADC) values of the liver parenchyma and liver tumor by the paired t-test.The average scores of image quality for sharpness of liver contour, image noise, and chemical shift artifacts were significantly higher for FB-DWI than RT-DWI (P < 0.05). SNRs, CNRs, and ADC values of the liver parenchyma and tumors did not differ significantly between the 2 DWI methods.Compared with RT-DWI, the optimized FB-DWI provided better spatial resolution, fewer artifacts, and comparable SNRs, lesion-to-nonlesion CNRs, and ADC values.
ROCK2 and MYLK variants under hypobaric hypoxic environment of high altitude associate with high altitude pulmonary edema and adaptation

To date, a major class of kinases, serine-threonine kinase, has been scantly investigated in stress-induced rare, fatal (if not treated early), and morbid disorder, high altitude pulmonary edema (HAPE). This study examined three major serine-threonine kinases, ROCK2, MYLK, and JNK1, along with six other genes, tyrosine hydroxylase, G-protein subunits GNA11 and GNB3, and alpha1 adrenergic receptor isoforms 1A, 1B, and 1D as candidate gene markers of HAPE and adaptation.For this, 57 variants across these nine genes were genotyped in HAPE patients (n=225), HAPE controls (n=210), and highlanders (n=259) by Sequenom MS (TOF)-based MassARRAY® platform using iPLEX™ Gold technology. In addition, to study the gene expression, quantitative real-time polymerase chain reaction was performed in human peripheral blood mononuclear cells of the three study groups.A significant association was observed for C allele (ROCK2 single-nucleotide polymorphism, rs10929728) with HAPE (P=0.03) and C, T, and A alleles (MYLK single-nucleotide polymorphisms, rs11717814, rs40305, and rs820336) with both HAPE and adaptation (P=0.001, P=0.006, and P=0.02, respectively). ROCK2 88 kb GGGTTGGT haplotype was associated with lower risk of HAPE (P=0.0009). MYLK 7 kb haplotype CTA, composed of variant alleles, was associated with higher risk of HAPE (P=0.0006) and lower association with adaptation (P=1E-06), whereas haplotype GCG, composed of wild-type alleles, was associated with lower risk of HAPE (P=0.001) and higher association with adaptation (P=1E-06). Haplotype-haplotype and gene-gene interactions demonstrated a correlation in working of ROCK2 and MYLK.The data suggest the association of ROCK2 with HAPE and MYLK with HAPE and adaptation in Indian population. The outcome has provided new insights into the physiology of HAPE and adaptation.
Global patterns of intraspecific variation in tree resilience to drought

Forests provide essential long-term ecosystem services, such as reducing carbon emission and biodiversity conservation, and consequently, are the focus of many conservation policies (i.e. Europe 2020 Strategy). Drought events associated with climate change reduce tree growth and prompt mortality episodes, impacting global and severely forest ecosystems. The ability of trees to resist and recover from drought (tree resilience) will be decisive to maintain the functioning of forest ecosystems. Measuring tree climate-growth relationship and resilience is thus key for predicting the effect of climate change. However, because different tree populations may have faced contrasting climatic conditions, the within-species response to climate change may differ geographically due to local adaptation. TreEsilience proposes using tree rings to investigate the role of local adaptation in determining intraspecific variation in tree resilience to drought. To date, such an intraspecific approach has never been pursued. In order to reach this ambitious goal, TreEsilience will use an interdisciplinary approach that combines dendrochronology, phylogenetic comparative methods and species distribution modelling, thus bringing tools from the spatial and evolutionary ecology to the study of forest management and conservation. The results will provide insights into novel strategies to improve forestry efficiency by identifying early signals of tree mortality, useful for forest practitioners, policy-makers and stakeholders in order to mitigate the detrimental effects of land degradation and desertification on human wellbeing due to climate change.
Impacts of the north atlantic decadal variability on european climate: mechanisms and predictability

During the last century, the North Atlantic sea surface temperature exhibited superimposed long-term warming trend and multidecadal fluctuations. This multidecadal variability is referred to as the Atlantic Multidecadal Variability (AMV). The AMV has been pointed as the source of marked climate anomalies and associated human impacts over many areas of the globe. This includes droughts in Africa and North America, decline in sea-ice, changes of tropical cyclone activity in the Atlantic, as well as temperature and precipitation impacts over Europe.
Decadal climate forecast systems are able to capture the historical evolution of the AMV. This is encouraging for the prospect of getting skillful decadal predictions over continents through the impacts of the AMV. However, to date decadal prediction systems show only limited prediction skill over Europe in terms of temperature and precipitation. A possible explanation for this paradoxical missing skill is that current decadal forecast systems are missing key mechanisms to correctly simulate the AMV-Europe teleconnections and their associated predictability.
The main goal of INADEC is to better estimate and understand the teleconnections between the AMV and European climate in order to precisely determine their predictability.
METHODS FOR THE DETECTION OF PATHOGENIC MYCOBACTERIA

This invention relates to methods of detecting pathogenic mycobacteria with reference to a characteristic 152 bp DNA sequence. Identification of the specific species of pathogenic mycobacteria is also possible through reference to both the characteristic DNA sequence above and the genomic DNA which flanks it in that particular species.
Effect of Chinese herbal medicine feed additive on growth performance, carcass quality and meat quality of Short Feet 3-Yellow

Healthy,weight indifferent forty days of age Short Feet 3-Yellow were randomly divided into the control group and the treatment group for 80-day contrast test.The drinking water of the treatment group was added a medicine soup containing of astragalus root,the divine comedy and chicken vector rattan.During the test,feed intake,daily growing weight,hair color,comb color,mental state, disease chicken and dead chicken number were observed.After the test,the slaughtering rate,eviscerated rate,half net bore rate,leg muscle rate,chest muscle rate,muscle crude protein,crude fat,water content,pH value,cooked meat rate and inosinic acid were measured.The results showed that the two groups were significantly different from the growing weight,color and luster,comb color, slaughtering rate,eviscerated rate,half net bore rate,leg muscle rate,chest muscle rate,cooked meat rate and peeling of chest muscle moisture content,inosinic acid;and the feed conversion ratio,feed intake,muscle crude protein and crude fat content,pH value and storage loss rate were not significant difference.
Deciphering and engineering centriole assembly

Deciphering and engineering the assembly of cellular organelles is a key pursuit in biology. The centriole is an evolutionarily conserved organelle well suited for this goal, and which is crucial for cell signaling, motility and division. The centriole exhibits a striking 9-fold radial symmetry of microtubules around a likewise symmetrical cartwheel containing stacked ring-bearing structures. Components essential for generating this remarkable architecture from alga to man have been identified. A next critical step is to engineer assays to probe the dynamics of centriole assembly with molecular precision to fully understand how these components together build a functional organelle. Our ambitious research proposal aims at taking groundbreaking steps in this direction through four specific aims: 
1) Reconstituting cartwheel ring assembly dynamics. We will use high-speed AFM (HS-AFM) to dissect the biophysics of SAS-6 ring polymer dynamics at the root of cartwheel assembly. We will also use HS-AFM to analyze monobodies against SAS-6, as well as engineer surfaces and DNA origamis to further dissect ring assembly.   
2) Deciphering ring stacking mechanisms. We will use cryo-ET to identify SAS-6 features that direct stacking of ring structures and set cartwheel height. Moreover, we will develop an HS-AFM stacking assay and a reconstituted stacking assay from human cells. 
3) Understanding peripheral element contributions to centriole biogenesis. We will dissect the function of the peripheral centriole pinhead protein Cep135/Bld10p, as well as identify and likewise dissect peripheral A-C linker proteins. Furthermore, we will further engineer the HS-AFM assay to include such peripheral components. 
4) Dissecting de novo centriole assembly mechanisms. We will dissect de novo centriole formation in human cells and water fern. We will also explore whether de novo formation involves a phase separation mechanism and repurpose the HS-AFM assay to probe de novo organelle biogenes
Imaging life from molecules to cells - building knowledge on cryo-electron microscopy methodologies

Proteins are building blocks of life, often forming complexes with essential cellular roles. Dysfunction of proteins or their complexes in cells are associated with a wide variety of pathologies, making them excellent drug target candidates. Their 3D structures are essential for a rational drug design. However, many important proteins and complexes are extremely hard to crystallize. Recent advances in Cryo-Electron Microscopy methodologies enabled the structure determination of large macromolecular complexes at near-atomic resolution. An unprecedented level of detail in cell imaging using Cryo-Electron Tomography is also now possible. IMpaCT will improve the expertise at the UNL in Cryo-EM methodologies applied to the structural studies of proteins related to human health (e.g. cancer, antiviral infections) from individual molecules to macromolecular complexes, both isolated and in a cellular context. To this end, UNL will team up with renowned Cryo-EM experts from the National Centre for Biotechnology of the Spanish National Research Council (Spain), the Institute of Biotechnology of the University of Helsinki (Finland) and the Weizmann Institute of Science (Israel). A solid work programme grounded on hands-on Workshops will be complemented with short-term visits to the partner labs, visits from partner labs experts to ITQB NOVA, seminars by leading experts in Cryo-EM (e.g. Nobel Prize winners), industry stakeholders’ engagement via a Mini-symposium and workshop participation, knowledge transfer to other research groups in Portugal and a WP devoted to early-stage researchers. An ambitious Dissemination, Exploitation and Communication plan will be implemented to leverage the research results potentiated by this project as high-impact publications and invited communications at international meetings, leading to a fundamental outcome: an increased visibility and activity of UNL researchers as players in the Cryo-EM field.
FLUID TURBINE WITH TURBINE SHROUD AND EJECTOR SHROUD COUPLED WITH HIGH THRUST-COEFFICIENT ROTOR

The present disclosure includes a shrouded fluid turbine that generates large wake expansion to generate power coefficients greater than the Betz power coefficient of 16/27 based on maximum system area. The Virtual Diffuser Wind Turbine (VDWT) system operates differently with, and without power extraction. With power extraction the VDWT system includes a high rotor thrust coefficient combined with an annular shroud system that uses bypass flow to form an annular, high-energy bypass flow stream that flows outward at the exit plane of the VDWT generating an observable virtual diffuser downstream therefrom. This outward, high-energy flow reduces exit plane pressure generating large wake expansions. The large wake expansion increases the flow rate through the rotor. Without rotor power extraction, separation takes place which reduces some of aerodynamic loads on the VDWT at extreme winds.
A Vehicle Routing Problem Solution Considering Alternative Stop Points

Logistics, especially the city logistics delivery, becomes one of the main contributors of energy consumption and environment pollution in the urban transportation system. Reasonable vehicle route planning is viewed as an important solution to lower the energy consumption of the delivery vehicle as well as reduce logistics enterprises’ operation costs. However, in most existing vehicle routing problem (VRP) studies, the road networks were simplified and the client points were connected by unidirectional roads, which is obviously inconsistent with the actual conditions of the road network. A new VRP solution based on a bi-directional road network, which aims to minimize fuel consumption for a gasoline powered delivery vehicle, is proposed in this paper. First, the mathematic VRP model with the minimal-fuel consumption as optimization objective is established. Then, a bi-directional road network for VRP is constructed and an alternative stop point for each delivery client is formulated according to the weight of package and the walking distance of the deliveryman. Finally, the proposed method is evaluated in an actual road network and the results show that the proposed solution for VRP reduces the distance of roundabout and the fuel consumption of the delivery vehicle effectively.
Semantic Rule-based Approach for Supporting Personalised Adaptive E-Learning

Instructional designers are under increasing pressure to enhance the pedagogical quality
and technical richness of their learning content offerings, while the task of authoring for
such complex educational frameworks is expensive and time consuming. Personalisation
and reusability of learning contents are two main factors which can be used to enhance the
pedagogical impact of e-learning experiences while also optimising resources, such as the
overall cost and time of designing materials for different e-learning systems.
However, personalisation services require continuous fine tuning for the different features
that should be used, and e-learning systems need sufficient flexibility to offer these
continuously required changes.
The semantic modelling of adaptable learning components can highly influence the personalisation
of the learning experience and enables the reusability, adaptability and maintainability
of these components. Through the discrete modelling of these components, the
flexibility and extensibility of e-learning systems will be improved as learning contents
can be separated from the adaptation logic which results in the learning content being no
longer specific to any given adaptation rule, or instructional plan.
This thesis proposes an innovative semantic rule-based approach to dynamically generate
personalised learning content utilising reusable pieces of learning content. It describes an
ontology-based engine that composes, at runtime, adapted learning experiences according
to learner’s interaction with the system and learner’s characteristics. Additionally, enriching
ontologies with semantic rules increases the reasoning power and helps to represent
adaptation decisions. This novel approach aims to improve flexibility, extensibility and
reusability of systems, while offering a pedagogically effective and satisfactory learning
experience for learners. This thesis offers the theoretical models, design and implementation
of an adaptive e-learning system in accordance with this approach. It also describes
the evaluation of developed personalised adaptive e-learning system (Rule-PAdel) from
pedagogical and technical perspectives.