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Tilia

Q: How does Tilia's user-friendly interface and intuitive features benefit researchers?

Tilia's user-friendly interface and intuitive features provide a seamless experience for researchers, empowering them to make more informed decisions and accelerate their research endeavors. The platform's intuitive design and streamlined workflow allow researchers to quickly navigate and access the tools they need, saving time and enhancing productivity.

Tilia is an AI-driven platform developed by PubCompare.ai that revolutionizes research protocol optimization and enhances reproducibility.
The platform enables users to easily locate protocols from literature, preprints, and patents, and leverages AI-driven comparisons to identify the most effective protocols and products.
Tilia's cutting-edge tools streamline the research process and enhance the quality of findings, making it an invaluable resource for researchers across various fields.
The platform's user-friendly interface and intuitive features provide a seamless experience, empowering scientists to make more informed decisions and accelerate their research endeavors.
With Tilia, the research community can expect a transformative approach to protocol optimization and improved reproducibility, ultimately driving scientific progress forward.

Most cited protocols related to «Tilia»

Episodic Future Thinking and Eating Behavior

Cited 10 times

Twenty-six overweight or obese (body mass index ≥ 25) women (mean age = 26.43 years, SD = 5.70; average body mass index = 30.99, SD = 5.80; 81% White, 19% racial-ethnic minority; 46% with at least some college education, 54% with no college education) participated in return for $25. Participants were randomly assigned to an episodic-future-thinking (n = 14) or control-episodic-thinking (n = 12) condition. To be included in the study, participants had to have endorsed at least one item on the Three-Factor Eating Questionnaire (Allison, Kalinsky, & Gorman, 1992 ) rigid-restraint scale, which ensured that they had a desire to control their food intake.
We had participants in each condition generate cues for episodic thinking during delay discounting and ad libitum eating, using an adapted version of a task for assessing the anticipation of future events in depressed individuals (MacLeod, Pankhania, Lee, & Mitchell, 1997 (link)). Episodic-future-thinking participants listed possible positive future events (D'Argembeau & Van der Linden, 2004 (link)) occurring at time periods corresponding to time periods specified in the delay-discounting task. The control- episodic-thinking group based episodic cues on vivid events described in entries of the travel blog of a female writer (http://almostfearless.com) posted between January 22 and February 13, 2012. Thus, control-episodic-thinking participants engaged imaging a recently experienced event. Participants rated the events on 6-point scales to identify events with the highest imagery (Peters & Büchel, 2010 (link)); once identified, participants’ reports of these events were audio recorded. The audio recordings were then used as episodic-thinking cues.
Discounting of hypothetical monetary rewards (of $10 and $100) were assessed at delays of 1 day, 2 days, 1 week, 2 weeks, 1 month, 6 months, and 2 years. Participants chose either the larger reward, available at a delay, or the smaller reward, available immediately, adjusted in 26 steps (26 choices between different combinations of immediate and delayed rewards, based on a standardized procedure commonly used in studies on delay discounting; Rollins, Dearing, & Epstein, 2010 (link)). Prior to each delay-discounting trial, episodic-future-thinking participants were instructed to think about future events corresponding to the delayed time period (Peters & Büchel, 2010 (link)), whereas control- episodic-thinking participants were instructed to think about events described in the travel blog. Indifference points (delays at which participants were equally likely to choose either immediate or delayed rewards) were calculated (Dixon, Marley, & Jacobs, 2003 (link)) to compute area-under-the-indifference-curve values (Myerson, Green, & Warusawitharana, 2001 (link)).
The ad libitum eating task simulated a food-related situation that could trigger impulsive eating, with sessions scheduled at least 90 min after lunch but before dinner. To increase food craving and temptation to eat (Fedoroff, Polivy, & Herman, 2003 (link)), we first had participants rate the sensory appeal of meatballs, fries, sausages, garlic bread, cookies, and dips without tasting them. Unlimited access to the foods was provided for 15 min afterward, and participants provided ratings of the foods’ taste quality and texture. The timing of the task and the sensory pre-exposure to the foods provided a prototypical situation that could lead participants to engage in consumption for immediate gratification instead of delaying gratification for future health. To cue episodic thinking during the taste test, we played the audio recordings of participants’ reports of high-imagery events throughout the eating task.

Daniel T.O., Stanton C.M, & Epstein L.H. (2013). The Future Is Now: Reducing Impulsivity and Energy Intake Using Episodic Future Thinking. Psychological science, 24(11), 2339-2342.

Publication 2013

3,5-diisopropylsalicylic acid Apathy Bread Food Garlic Imagery, Guided Impulsive Behavior Index, Body Mass Muscle Rigidity Obesity Polivy Precipitating Factors Racial Minorities Taste Tilia Woman

Multimodal Brain Imaging with EEG-fMRI

Cited 10 times

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2008

Brain EP300 protein, human fMRI Microtubule-Associated Proteins Tilia

Communicating Climate Change Consensus

Cited 8 times

This analysis draws upon results from a recent experiment that investigated how to effectively communicate the scientific consensus on climate change (full details of the experiment, sample and materials are available and described in van der Linden et al. [20 ]). The purpose of the experiment was to test the efficacy of different ways to communicate the consensus-message (e.g., descriptive text, a pie chart, metaphors etc.). In total, 11 different treatment conditions were administered. The experiment was conducted using an online national quota sample (N = 1104) obtained from a major vendor (Survey Sampling International). The study was approved by the Yale Institutional Review Boards for ethical research (Human Research Protection Program) and participants signed a consent form with the sampling company (SSI) through which they chose to participate. A descriptive overview of the sample characteristics is provided in Table 1.

van der Linden S.L., Leiserowitz A.A., Feinberg G.D, & Maibach E.W. (2015). The Scientific Consensus on Climate Change as a Gateway Belief: Experimental Evidence. PLoS ONE, 10(2), e0118489.

Publication 2015

Climate Change Ethics Committees, Research Homo sapiens Tilia

Motif-Directed Profiling of MYB Transcription Factors

Cited 7 times

The NBS-profiling protocol [21 ] was extended to motif-directed profiling [22 (link)] for use on other gene families. As such, also degenerate primers suitable for MYB-profiling were developed (van der Linden, personal communication). MYB-genes are a large group of transcription factors that are involved in a wide array of cellular processes and also in anthocyanin biosynthesis and flower color expression [23 (link)-25 (link)]. Therefore, population GxH was very well suited for applying this technique for the generation of functional markers in the MYB-domain. The MYB-profiling was performed as described in [26 (link)] with some modifications. Polymorphic bands were scored as dominant markers on the autoradiographs and Microsoft Excel was used for the creation of a scoring matrix (1/0).

De Keyser E., Shu Q.Y., Van Bockstaele E, & De Riek J. (2010). Multipoint-likelihood maximization mapping on 4 segregating populations to achieve an integrated framework map for QTL analysis in pot azalea (Rhododendron simsii hybrids). BMC Molecular Biology, 11, 1.

Publication 2010

Anabolism Anthocyanins Autoradiography Genes Genes, myb Neutrophil Oligonucleotide Primers Physiology, Cell Tilia Transcription Factor

Evaluating Paranoia Measure with IRT Analysis

Cited 6 times

There are a number of helpful introductory and detailed descriptions of IRT techniques available (e.g. Reise and Waller, 2009 ; Embretson and Reise, 2013 ; van der Linden and Hambleton, 2013 ). IRT analyses were conducted using all available data for each subscale of the GPTS (Part A = 1218, Part B = 10 545). Where appropriate, unidimensional IRT analyses were conducted to examine the item and test properties of the individual factors of the GPTS. IRT was only conducted if the assumption of unidimensionality was met. The EFA and Mokken analysis were used to evaluate whether items conform to a single scale, with Loevinger's H above 0.3 indicating unidimensionality (Stochl et al., 2012 (link)). A two-parameter graded response model (GRM) was fitted to the items (Samejima, 1969 ). Person fit statistics were calculated to detect outliers where the pattern of responses across the items was atypical and therefore likely guided by other response mechanisms (e.g. random responding). Participants with atypical response patterns, determined by extreme person fit statistic scores (z < −3 or >3), were excluded (Felt et al., 2017 (link)).
The item and test parameters derived from the IRT analysis are expressed as a function of θ, representing the continuum of the latent trait (i.e. paranoia) where values denote standard deviations from the average level (θ = 0). As such, higher values of θ represent more severe paranoia. The ability of each item to discriminate different levels of paranoia is denoted by the discrimination parameter (a), with higher values indicating small shifts in severity lead to increases in the probability that an item will be endorsed. Discrimination parameters above 1 are highly discriminative, whilst those below 0.5 are considered unacceptable (Baker and Kim, 2017 ). The difficulty parameters (b) describe the level of severity that the item measures, with the four difficulty parameters for each item denoting the 50% probability of responding at the boundary between each response option. Higher difficulty parameters indicate that the item responses typically measure more severe levels of paranoia.
The reliability of the GPTS was evaluated using the test information (TI) function, representing the precision of the measure at different points along the θ spectrum. To aid interpretation, the TI at specific values of θ were converted to an equivalent α reliability on a 0–1 scale with the formula 1/√TI(θ) (O'Connor, 2018 (link)). To evaluate measurement invariance, we conducted differential item functioning (DIF) analysis for age and gender, with the criteria of a β change above 10% and a pseudo R² above 0.13 indicating significant item variance (Crane et al., 2007 (link); Choi et al., 2011 ). The presence of DIF reflects a measurement bias where demographic factors influence the way participants respond to the items (Holland and Wainer, 2012 ).

Freeman D., Loe B.S., Kingdon D., Startup H., Molodynski A., Rosebrock L., Brown P., Sheaves B., Waite F, & Bird J.C. (2019). The revised Green et al., Paranoid Thoughts Scale (R-GPTS): psychometric properties, severity ranges, and clinical cut-offs. Psychological Medicine, 51(2), 244-253.

Publication 2019

Alanine Transaminase Discrimination, Psychology Feelings Gender Paranoia Tilia

Most recents protocols related to «Tilia»

Dietary Intake and Supplementation Analysis

Patients prospectively recorded their dietary intake using a 7-day weighed dietary record prior to the study examination. Mean intake of energy, macro- and micronutrients was calculated using the OptiDiet© software version 4.2.1 (GOE, Linden, Germany). Intake of protein, vitamin, or mineral supplements was enquired from the patients, which were instructed to bring the respective packing of supplements used to the study appointment. Micronutrient supplementation among patients was subsequently compared to the German S3 guideline recommendations (S1 Table).

Wiese M.L., Wilke F., Gärtner S., Valentini L., Keßler W., Aghdasssi A.A., Lerch M.M, & Steveling A. (2023). Associations of age, sex, and socioeconomic status with adherence to guideline recommendations on protein intake and micronutrient supplementation in patients with sleeve gastrectomy or Roux-en-Y gastric bypass. PLOS ONE, 18(3), e0282683.

Publication 2023

Dietary Supplements Micronutrients Minerals Patients Proteins Tilia Vitamins

Drought Impacts on Urban Tree Species

Cited 1 time

This research was performed in Guangzhou (22°26′-23°56′N, 112°57′-114°03′E), which is a core city located in subtropical zones. With an area of 7434.4 km² and a population of 18.87 million, Guangzhou’s urbanization rate has reached 86.46%. To cope with multiple environmental challenges, several urban-forest nurseries were established to cultivate and introduce various tree species. Among them, we selected the one in Tianhe District as our study site. This nursery was not only abundant with native and exotic tree species but also equipped with similar edatope in cities, which was ideal for our research.
Tilia cordata Mill. (Tc) and Tilia tomentosa Moench (Tt), originating from the west of Britain and southeast of Europe, were common urban tree species planted in European cities. Based on their performance in providing ecological and landscape functions, these two tree species were considered to be introduced for urban greening. Therefore, Tilia cordata Mill. (Tc) and Tilia tomentosa Moench (Tt) were selected as our objectives, which were investigated for their growth and ecosystem services to evaluate their adaption in Guangzhou. In addition, a native tree species Tilia miqueliana Maxim (Tm) was also implemented concurrent measurement as a comparison.
For each of the three surveyed tree species, ten trees with a diameter at breast height (DBH) around 5.5 cm and tree height around 2.5 m were chosen for our experiment, which were thought to possess similar initial statuses. To investigate the impact of drought on the growth and ecosystem services of the three selected tree species, a controlled experiment was launched from January to December in 2020. For each tree species, five trees were planted in the common environment as the controlled group, while the other five trees were under the precipitation-exclusion installation (PEI) as the drought-simulation group. Consisting of several water-proof tents, PEI was adequately large and could completely prevent trees from obtaining rainfalls, which created a precipitation-exclusive environment to simulate an enduring drought event within the whole research period (Fig. 1).Figure 1

Schematic diagram of the drought simulation experiment for the three surveyed tree species.

Zhang M., Ni Y, & Li M. (2023). Evaluation of the growth, adaption, and ecosystem services of two potentially-introduced urban tree species in Guangzhou under drought stress. Scientific Reports, 13, 3563.

Publication 2023

Acclimatization Breast Droughts Ecosystem Europeans Forests Tilia Trees Urbanization

Palynological Analysis of Amber-bearing Strata

Ninety-two samples have been collected in the three cropping out successions described above (Fig 1). Although sampling primarily focused on amber-bearing strata, all suitable levels of the sections were carefully sampled (Figs 3–5) in order to obtain a more accurate and continuous biostratigraphic framework. The three logged sections were drawn using the software SedLog [66 ] in combination with Adobe Illustrator (www.adobe.com).
A total of 15 rock samples from the San Just, 36 from the Cortes de Arenoso and 41 from the Arroyo de la Pascueta sections were prepared for palynological analysis. Palynological residues were processed using acid digestion with HCl and HF at high temperatures [67 , 68 ]. When required, a short oxidation with HNO₃ (“nitric wash”) was performed in some residues. The residues were then concentrated by sieving through 500, 250 and 10 μm sieves, mounted in glycerin jelly on strew slides. In order to include rare taxa with potential biostratigraphic value, between 500 and 1000 palynomorphs were identified per sample (S1 Appendix). Microscopic analysis of the palynological slides was performed with an Olympus BX51 microscope, incorporating a ColorView IIIu camera using a 100X oil immersion objective. Pollen diagrams were constructed by using Tilia/TGView 2.0.2 softwares [69 , 70 ]. All studied slides are provisionally stored in the museum of the Geological Survey of Spain (CN IGME-CSIC, Madrid). A list of the identified taxa along with their botanical affinity and occurrences in each section is given in Table 1 and S1 and S2 Appendices.
Principal Component Analysis (PCA) was performed to evaluate environmental gradients underlying the palynological dataset and to identify groups of taxa representing different types of vegetation. Only the most abundant or ecologically relevant taxa were analysed. PCA calculations were performed using the SPSS and software (version 4.0.2) with FactoMineE and Rioja packages for PCA and Cluster Analysis, respectively [100 , 101 ].

Barrón E., Peyrot D., Bueno-Cebollada C.A., Kvaček J., Álvarez-Parra S., Altolaguirre Y, & Meléndez N. (2023). Biodiversity of ecosystems in an arid setting: The late Albian plant communities and associated biota from eastern Iberia. PLOS ONE, 18(3), e0282178.

Publication 2023

Acids Bears Digestion Fever Figs Glycerin Immersion Microscopy Pollen Tilia

DRAGON-Data: Curating Neuropsychiatric Genetics

Cited 2 times

Fifteen studies from the MRC Centre for Neuropsychiatric Genetics and Genomics at Cardiff University (https://www.cardiff.ac.uk/mrc-centre-neuropsychiatric-genetics-genomics) were included in this project. A summary of the studies can be found in Table 1. Each study had its own approved research ethics, and ethical approval for the curation and development of DRAGON-Data was obtained from Cardiff University's School of Medicine Research Ethics Committee (approval reference 19/72). The studies included participants who were adults with psychiatric disorders, children (defined as up to age 18 years) with neurodevelopmental disorders, children of parents with psychiatric disorders and both children and adult carriers of rare neurodevelopmental risk copy number variants (ND-CNVs).

Table 1

Studies included in DRAGON-Data

Study	Reference	Main diagnosis	Principal investigator(s)	Genotyping platform	Number genotyped (after quality control)	Psychiatric instruments used	Diagnostic criteria included	Number phenotyped (harmonised)
BDRN	^{24 (link)}	Bipolar disorder	N. Craddock, I. Jones, L. Jones	Affymetrix5OmniExpressPsychChip	480680351102	SCAN	ICD-10, DSM-IV	6000
Bulgarian Trios
Case–control data	^{25 (link)}	Psychosis and mood disorders	G. Kirov	OmniExpress	806	SCAN	DSM-IV	305
Family data^a	^{26 (link)}	Probands with psychosis and mood disorders and their families	G. Kirov	Affymetrix6	2119	SCAN	DSM-IV	3084
CLOZUK	^{27 (link),28 (link)}	Treatment-resistant schizophrenia	J. T. R. Walters, M. Owen, M. O'Donovan	OmniExpress	13 743	None (anonymised samples)	None (anonymised samples)	16 405
Cardiff COGS	^{29 (link)}	Schizophrenia, psychosis or bipolar disorder	J. T. R. Walters, M. Owen	OmniExpress	997	SCAN	ICD-10, DSM-IV	1301
DEFINE	^{30 (link)}	Confirmed ND-CNV carrier	J. Hall, D. Linden, M.B.M. van den Bree, M. Owen	PsychChip	971 (number inclusive of ECHO and IMAGINE)	SCIDPAS-ADD	DSM-IV	125
ECHO IMAGINE	^{31 (link),32 (link)}	Confirmed ND-CNV carrier	M.B.M. van den Bree, J.Hall, D. Linden, M. Owen	PsychChip		CAPA	DSM-IV	963
EPAD^a	^{33 (link)}	Major depressive disorder (at least one affected parent and their child)	F. Rice, A. Thapar	PsychChip	615	CAPA and SCAN	DSM-IV	674
F-Series^a	^{34 (link)}	Psychosis and mood disorders	M. Owen	OmniExpress	749	SCAN	ICD-10, DSM-IV	1022
DeCC/DeNt	^{35 (link)}	Major depressive disorder	N. Craddock, L. Jones, C. Lewis, M. Owen	610 Quad	1346	SCAN	DSM-IV	1504
NCMH	^{36 (link)}	Any developmental or mental disorder	I. Jones (and others)	PsychChip	3352	SCAN (N = 465)CAPS-5PAS-ADD	For those with SCAN interviews: ICD-10, DSM-IV, DSM-5	16 311
PTSD Registry	^{37 (link)}	PTSD	J. Bisson, N. Roberts	PsychChip	325	SCIDCAPS	DSM-5	325
SAGE^a	^{38 (link)}	ADHD	A. Thapar, M. O'Donovan, M.J. Owen, K. Langley, J. Martin	HumanHap550PsychChip	2073^a	CAPA	ICD-10, DSM-IV	1132
Sib-Pairs	^{39 (link)}	Schizophrenia	M. Owen	OmniExpress	918	SCAN	ICD-10, DSM-IV	918

BDRN, Bipolar Disorder Research Network; SCAN, Schedules for Clinical Assessment in Neuropsychiatry; COGS, Cardiff Cognition in Schizophrenia; DEFINE, Defining Endophenotypes From Integrated Neurosciences; ND-CNV, Neurodevelopmental Copy Number Variant; SCID, Structured Clinical Interview for DSM-IV; PAS-ADD, The Psychiatric Assessment Schedule for Adult with Developmental Disability; ECHO, Experiences of Children with copy number variants; IMAGINE, Intellectual Disability and Mental Health: Assessing Genomic Impact on Neurodevelopment; CAPA, Child and Adolescent Psychiatric Assessment; EPAD, Early Prediction of Adolescent Depression; DeCC/DeNt, Depression Case Control / Depression Network; NCMH, National Centre for Mental Health; CAPS-5, Clinician Administered PTSD Scale for DSM-5; PTSD, post-traumatic stress disorder; SAGE, Study of ADHD, Genes and Environment; ADHD, attention-deficit hyperactivity disorder.

Includes family data and/or (trios).

Lynham A.J., Knott S., Underwood J.F., Hubbard L., Agha S.S., Bisson J.I., van den Bree M.B., Chawner S.J., Craddock N., O'Donovan M., Jones I.R., Kirov G., Langley K., Martin J., Rice F., Roberts N.P., Thapar A., Anney R., Owen M.J., Hall J., Pardiñas A.F, & Walters J.T. (2023). DRAGON-Data: a platform and protocol for integrating genomic and phenotypic data across large psychiatric cohorts. BJPsych Open, 9(2), e32.

Publication 2023

Adolescent Adult Bipolar Disorder Child Cognition Copy Number Polymorphism Developmental Disabilities Disorder, Attention Deficit-Hyperactivity ECHO protocol Episodic Ataxia, Type 2 Ethics Committees, Research Genes Genome Inclusion Bodies Intellectual Disability Major Depressive Disorder Melancholia Mental Disorders Mental Health Mood Mood Disorders Neurodevelopmental Disorders Oryza sativa Parent Pharmaceutical Preparations Post-Traumatic Stress Disorder Psychotic Disorders Radionuclide Imaging Respiratory Diaphragm Schizophrenia SCID Mice Tilia TRIO protein, human

Analyzing Honey Samples from EU

The analysed honey samples originated from the retail markets of seven EU countries (Eastern Europe–Poland and Slovakia; Southern Europe–Italy, France and Spain; Northern Europe–Scotland and England). In the case of the Polish samples, the honey was purchased from an industrial region of Poland (Malopolska) as well as a non-industrial one (Warmia and Mazury), the so-called “green lungs of Poland”. The sixteen types of honey collected for the study were as follows: heather, clover, wildflower, multiflorous, linden, rape, buckwheat, forest, honeydew, lemon and orange blossom, thyme, eucalyptus, chestnut, acacia and lavender. The honeys selected for the research were the most representative for each region as they are the most popular and the most purchased.

Surma M., Sadowska-Rociek A, & Draszanowska A. (2023). Levels of Contamination by Pesticide Residues, Polycyclic Aromatic Hydrocarbons (PAHs), and 5-Hydroxymethylfurfural (HMF) in Honeys Retailed in Europe. Archives of Environmental Contamination and Toxicology, 84(2), 165-178.

Publication 2023

Acacia Brassica napus Buckwheat Citrus limon Clover Eucalyptus Flowers Forests Honey Lavandula angustifolia Lung Thymus vulgaris Tilia

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What is Tilia and how does it differ from other research protocol optimization platforms?

Tilia is an AI-driven platform developed by PubCompare.ai that revolutionizes the way researchers optimize their research protocols and enhance reproducibility. Unlike traditional approaches, Tilia enables users to easily locate protocols from literature, preprints, and patents, and leverages advanced AI-driven comparisons to identify the most effective protocols and products. This cutting-edge platform streamlines the research process, enhancing the quality of findings and making it an invaluable resource for researchers across various fields.

How does Tilia's user-friendly interface and intuitive features benefit researchers?

What are the key benefits of using Tilia for protocol optimization and improved reproducibility?

The key benefits of using Tilia for protocol optimization and improved reproducibility include: 1) Streamlined research process through efficient protocol identification and comparison, 2) Enhanced quality of research findings by leveraging AI-driven insights, 3) Improved reproducibility by identifying the most effective protocols, and 4) Accelerated scientific progress by empowering researchers to make more informed decisions.

How can PubCompare.ai's Tilia platform assist researchers in optimizing their research protocols?

PubCompare.ai's Tilia platform can assist researchers in optimizing their research protocols in several ways: 1) It allows researchers to screen protocol literature more efficiently, 2) The platform's AI-driven analysis can pinpoit critical insights that help researchers identify the most effective protocols related to their specific research goals, and 3) The AI-driven comparisons enable researchers to choose the best protocol options for reproducibility and accuracy, ultimately enhancing the quality and impact of their research.

Are there different variations or types of Tilia, and how can researchers determine the best fit for their needs?

While Tilia is a singular AI-driven platform developed by PubCompare.ai, the platform offers a range of features and capabilities that can be tailored to the specific needs of researchers. Depending on the research field, study objectives, and desired level of protocol optimization, researchers can leverage Tilia's various tools and functionalities to find the best fit for their needs. The PubCompare.ai team is availble to provide guidance and support to ensure researchers can maximize the benefits of Tilia for their research endeavors.

More about "Tilia"

Tilia is an innovative AI-powered platform developed by PubCompare.ai that revolutionizes the process of research protocol optimization and enhances scientific reproducibility.
This cutting-edge tool enables researchers to effortlessly locate and compare protocols from a vast repository of literature, preprints, and patents.
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Tilia's comprehensive database covers a wide range of scientific disciplines, including but not limited to fields such as Quercetin, Acetic acid, Female ICR mice, Syringic acid, Acetone, Sodium chlorite, Plasmocin, Caffeic acid, and Hexane.
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