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1,365 results for “Needs”
Data, analytical, and plotting codes needed to reproduce meta-analyses on within-season divorce in birds
<p>This data package contains data (effect sizes and other variables) and analytical codes needed to reproduce three meta-analyses on within-season divorce and breeding success in socially monogamous birds (Culina & Brouwer: No evidence of immediate fitness benefits of within-season divorce in monogamous birds. 2022. Biology Letters.) It also contains codes to reproduce Figures from the main text and from the Supplement. Readme file and Licence are provided too.</p>
"Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading)
<p>This video is the tenth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022.</p> <p>"Tiny Test Tubes" for affordable microfluidic blood measurements at the point of need - Dr Alexander Edwards (University of Reading)</p> <p>Bio: Al Edwards has a background in fundamental immunology combined with expertise in biochemical engineering, he is an interdisciplinary researcher focussed on solving current and future healthcare challenges using an engineering science approach that combines a range of fields from biology, biochemistry, chemistry and physics. He works at the interface between academic technology discovery and industrial development and have experience of both fundamental research and the commercialisation of new technology. The two main challenges he currently works on are the development of affordable microfluidics for clinical diagnostics and microbiology, and the engineering science of complex biologic therapeutics such as vaccines. Alexander's research is funded from a wide range of sources, including NIHR , EPSRC, SBRI Healthcare, the Wellcome Trust, Innovate UK and industry</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/21a78Vql8b0</p>
Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University)
<p>This video is the seventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University)</p> <p>Bio: Bryant Lin, MD, MEng is a primary care physician, educator and researcher. The cornerstone of Dr. Lin's work is keeping medicine focused on humans - patients, providers, families and trainees - and not lost in technology and algorithms. His research and educational interests span (1) Developing and testing novel medical technologies, (2) Improving the health of Asian populations with Precision and Population Health, and (3) Increasing expression and interconnections in the Health Community with the Humanities and Arts. After receiving his undergraduate and master's degrees in Electrical Engineering and Computer Science from MIT, he completed his MD and internal Medicine training at Tufts University School of Medicine and Tufts Medical Center. He came to Stanford to serve as a Research Fellow in Cardiac Electrophysiology and Biodesign Fellow where he learned to identify unmet human-centered needs. Since completing his post-graduate training, he stayed at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine where he has invented and researched new medical technologies addressing unmet human-centered needs and started the Consultative Medicine Clinic evaluating patients with medical mysteries. He serves as the Training Director for the Joe and Linda Chlapaty DECIDE Center which has created a novel shared decision making tool for atrial fibrillation anticoagulation and is an investigator in several active clinical trials. Three years ago, he co-founded and currently co-directs, with Dr. Latha Palaniappan, the Center for Asian Health Research and Education (CARE) which aims to improve the health of Asians everywhere. Most recently, he has worked closely with the Medicine and the Muse leadership to help start the Stuck@Home concert series, the Stanford SoundWalk and the COVID Remembrance project. Dr. Lin has an active interest in storytelling and film-making. He co-directs an undergraduate seminar, MED 53Q “Storytelling in Medicine”, with Dr. Lauren Edwards and is working with a group of students on a documentary on end-of-life care at a JapaneseAmerican Senior Home in the Bay Area.</p> <p>Kevin Chang MD, MS, is a primary care physician. His focus in on patient care, population health and quality improvement, and medical education. He received his undergraduate degree and master's degree in biomedical engineering from Duke University and Stanford University respectively, and completed his MD at New York University, followed by his medical training at Stanford University. He has since stayed on at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine, where he also serves as the co-director of the resident physician Internal Medicine clinic.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/ozk1iJYC1yk</p>
Remote Immune Monitoring: Need, Opportunities and Challenges - Professor Kourosh Saeb-Parsy (University of Cambridge & Cambridge University Hospitals NHS Foundation Trust)
<p>This video is the seventh talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021.</p> <p>Remote Immune Monitoring: Need, Opportunities and Challenges - Professor Kourosh Saeb-Parsy (University of Cambridge & Cambridge University Hospitals NHS Foundation Trust)</p> <p>Bio: Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies. He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in the Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing. I matriculated as a medical student at Fitzwilliam College in 1993. My interest in biomedical research was developed during my Part II year studying Anatomy A (neurosciences and developmental biology) and I subsequently enrolled on the MB-PhD programme. I completed my doctoral thesis in neurophysiology of circadian rhythms in 2000 and qualified as a medical doctor in 2001. While studying for my PhD, I pursued an active interest in teaching and started supervising undergraduates at Fitzwilliam (and other colleges) in 1998. I served as MCR President in 1999, became a Fellow in 2003 and Director of Studies in Clinical Medicine in 2004. I pursued a career in surgery after graduation and was appointed as a University Lecturer in Transplant Surgery in 2012.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/ANZKGxj87E0</p>
FIGURE 3 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes
FIGURE 3 | Correlations between geomorphological and physicochemical variables, and ichthyoplankton density. Basin: basin area, Sinuous: channel sinuosity index, Flood: floodplain area, Cond: conductivity, Trans: transparency, Temp: temperature. α = 0.05.
FIGURE 2 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes
FIGURE 2 | Spatial variation in the median density of ichthyoplankton among tributaries. (Kruskal-Wallis H = 208.29, df = 9, p-value <2.2e-16). T01: Samaná River; T02: Nare River; T03: Espíritu Santo River; T04: Carare River; T05: Opón River; T06: Sogamoso River; T07: Boque River; T08: Nechí River; T09: San Jorge River and T10: Cesar River.
FIGURE 4 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes
FIGURE 4 | Potential spawning grounds for 13 sampled potamodromous fish species of the Magdalena basin. A. Baseline (current) scenario, and B. Full hydroelectric projects development scenario.
FIGURE 1 in Protection of spawning habitat for potamodromous fish, an urgent need for the hydropower planning in the Andes
FIGURE 1 | Location of the sampling tributaries (black circles) in the Magdalena River basin. T01: Samaná River; T02: Nare River; T03: Espíritu Santo River; T04: Carare River; T05: Opón River; T06: Sogamoso River; T07: Boque River; T08: Nechí River; T09: San Jorge River and T10: Cesar River. Magdalena River runs north.
PERCEIVE - What do you need and expect?
<p>This dataset include 5 questionnaire prepared within the PERCEIVE project to identify needs and requirements to be used in the development of Tools, Services and Prototypes (www.perceive-horizon.eu)</p>
Fig. 1 in Data storage and data re-use in taxonomy-the need for improved storage and accessibility of heterogeneous data
Fig. 1 (a) Sp_ci_s d_scriptions p_r d_cad_ in s_l_ct_d major groups of organisms (bas_d on data _xtract_d from th_ Int_rnational Plant Nam_s Ind_x (https://www.ipni.org/) for plants, MycoBank (http://www. mycobank.org/) for fungi, Ind_x of Organism Nam_s (http://www. organismnam_s.com/) for ins_cts, and compil_d from various databas_s for v_rt_brat_s: Eschm_y_r Catalog for fish_s (https://www.calacad_my. org/sci_ntists/proj_cts/_schm_y_rs-catalog-of-fish_s), th_ Amphibian Sp_ci_s of th_ World for amphibians (http://r_s_arch.amnh.org/vz/ h_rp_tology/amphibia/), R_ptil_ Databas_ for r_ptil_s (http://www. r_ptil_-databas_.org/), Howard and Moor_ Databas_ (https://www. howardandmoor_.org/) for birds, and ASM Mammal Div_rsity Databas_ (https://mammaldiv_rsity.org/) for mammals, all acc_ss_d in April 2019. Not_ that data for fungi and v_rt_brat_s r_f_r to curr_ntly acc_pt_d sp_ci_s nam_s only wh_r_as ins_ct data also includ_ synonyms and subsp_ci_s, and contain data gaps for s_v_ral d_cad_s in th_ nin_t__nth c_ntury; for all taxa, th_ low valu_s obtain_d for th_ last
Binary data file needed for the Shen et al. (2011) equation of state implemented in the Phantom smoothed particle hydrodynamics and magnetohydrodynamics code
<p>** this file is downloaded automatically from this repository on running Phantom **</p> <p>Contains information needed to load the <a href="http://adsabs.harvard.edu/abs/2011PhRvC..83c5802S">Shen, Horowitz & Teige (2011)</a> equation of state for nuclear matter in Phantom simulations</p> <p>The data file is a binary data file that enables a fast read of the information listed in the ascii tables given in the supplementary material of the Shen et al paper. The original ascii data files can be found here:</p> <p><a href="https://journals.aps.org/prc/supplemental/10.1103/PhysRevC.83.035802">https://journals.aps.org/prc/supplemental/10.1103/PhysRevC.83.035802</a></p> <p>For information on how to read this file, see the Phantom source code (<a href="https://github.com/danieljprice/phantom/blob/master/src/main/eos_shen.f90">eos_shen.f90</a>)</p>
Results of survey to potential users of repositories of European Poetry on the informational needs
<p>This excel file presents the results of a survey to potential final users of digital repertoires of the European Poetry in order to understand their information needs. This file also presents results of the analysis to the survey: answers to the specific needs of the results - in black if the domain model responds to the needs; green if a new element to the domain is added due to the result.</p> <p>This survey was done in the context of the definition of a domain model for the european poetry. A domain model (or data model) is a milestone in the process of development of a metadata application profile.</p> <p>Together with this survey, other efforts were taken in place:</p> <p>1) Analysis of the structure of databases that serve digital repertoires of European Poetry</p> <p>2) Analysis of the information needs of graphical user interphaces of the digital repertoires of European Poetry</p> <p>The map https://goo.gl/O0mqhI presents the repertoires used and the phases of the analysis.</p> <p>This work is framed in a Starting Grant research project Poetry Standardization and Linked Open Data: POSTDATA (ERC-2015-STG-679528), funded by European Research Council (ERC).</p>
BRAIN Journal-A New Challenge for Information Mining-Figure 1. kinds of information needs (Wildemuth and Freund,2012)
<p>The taxonomy of tasks, related to the two different kinds of information needs is illustrated in Figure 1. </p> <p>In the precision-oriented information needs category, the task’s goal is to locate one resource and get information about its attributes or metadata while in the recall-oriented information needs category the task’s goal is to locate (and get information about) a set of resources. In this category we can distinguish goals that require accessing sets of resources just in groups, or in groups accompanied by count information for getting an overview of a set of resources, e.g. as in Faceted Dynamic Taxonomies (FDT). Furthermore, we may have goals that require more complex aggregated results like those provided by data warehouses. For instance, aggregations of arithmetic (min, max, average) and Boolean functions over the numeric attributes of the documents in the answers of free-text queries. Moreover, counts are computed and displayed over combinations (pairs, triples, quadruplets, etc.) of attributes (of grouping criteria in general). In comparison to OnLine Analytical Processing (OLAP) queries, in exploratory search the information demand in unknown a priori (in OLAP it is known and the schema is fixed) and the objective is not only to compute and see various aggregate values (e.g. sales per month and department), but also to support a flexible process for finding the desired individual resources (Tzitzikas et al., 2016).</p>
BRAIN Journal-Cursor Movement – a Valuable Indicator in Intelligent System Design-Figure 1. Science branches involved in translating product features to human needs
<p>Approach notwithstanding, designing product features involves basically a two-step process: (a) detecting and recognizing emotional information and (b) exhibiting a suitable reaction to the previously considered input. Since needs are reflected in the emotional impact, a method to measure the emotions is necessary (Abraham & Michie, 2008) to correctly assess the impact. Referring strictly to a software product, in order to implement the capability to sense the users’ emotional state, the first step should be developing an affective database (Tao & Tan, 2005), to allow correct identification of the affective status. This results in a translation between the affective status of the user and the computer, therefore allowing the program to process the user emotion just like any other input, successfully “digitizing” emotion. </p>
New Ideas for Brain Modelling 4-Figure 4. LHS relates to neuron binding ensemble mass, with central column activated. RHS relates to hierarchy, with a direct mapping. The two red lines show where the ensemble is missing and so it needs to be learned. The blue lines show extra neurons from the hierarchy back to the ensemble, but can be removed as error. The other paired black squares represent where the patterns match and can oscillate together.
<p>This paper continues the research that considers a new cognitive model based strongly on the human brain, last updated in Greer (2016). In particular, it considers figure 4 of that paper (Figure below) and how it might be useful in practice. The paper also describes some new methods in the areas of image processing and behaviour simulation. The image processing introduces a most classical form of pattern cross-referencing, while the behaviour equations used feedback for a memory-type of cross-referencing. The work is all based on earlier research by the author and the new additions are intended to fit in with the overall design. For image processing, a grid-like structure is used with ‘full linking’, if you like. Each cell in the classifier grid stores a list of all other cells it gets associated with and this is used as the learned image that new input is compared with. For the behaviour metric, a new prediction equation is suggested, as part of a simulation, that uses feedback and history to dynamically determine its current state and course of action. While the new methods are from widely different topics, both can be compared with the binary-analog type of interface that is the main focus of the paper. Sensory input may be static and binary, but cross- references result in variable comparisons that make the input more dynamic. It is suggested that the simplest of linking between a tree and ensemble can explain neural binding and variable signal strengths.</p>
Doing It Together Science - the World needs more Citizen Science
<p>Involving citizens in research and innovation programs is crucial in shaping our future. With the project Doing It Together Science we try to engage as many people as possible in Citizen Science. By combining expertise and resources we can come to innovative solutions grounded in society. This video provides an introduction to the project and was publicly shown at the DITOs final event (pan-European policy forum) on 4th April 2019 at the Royal Belgian Institute of Natural Sciences in Brussels.</p>
Need for Explanations - Survey - Online Material
<pre>This dataset contains the results of an online questionnaire to assess the end-users' need for explanations in software systems. The questionnaire was shared in December 2018 and was online until January 2019. 171 participants initiate the survey and 107 completed it. We just analyzed the responses of the participants who completed the survey. This submission contains: The survey raw data in CSV format, separated by comma values; The .xlsx file containing the same raw data; The .pdf file containing the survey questions; A .rtfd version of the survey questions; A .html version of the survey questions; The .xlsx file containing the analyzed data; The .pdf file containing instructions about the coded data. The raw data contains only the responses from the 107 participants who completed the survey. Blank cells indicate that the participant did not provide a response to the corresponding question or answer option. All responses are anonymyzed and identified by an unique ID. _________ Each row is identified by the participant's ID, the date when the questionnaire was submitted, the last page (18 in total) and the language that the participant chose. The subsequent columns contain the questions. We use codes before each question. First, one of the following symbols: (*) as an indication that the question was mandatory; (*+)as an indication that the question was mandatory but was conditionnally shown, depending on previous answers; (+) as an indication that the question was conditionally shown, depending on previous answers; Next, the code of the question as in the questionnaire. And, if multiple choice, the code of the answer option. E.g.: (*+)A2(3) means that the A2 question in the questionnaire was mandatory and conditionally shown, and that this column contains the responses regarding answer option 3. After this code, the question as on the original questionnaire is shown and, when multiple option answer, the corresponding option is shown between [] after the question. E.g.: "In a typical day, which category of software/apps do you use on your digital devices most often? (More than one allowed) [Games]", where Games was one of the optional answers. The questionnaire was available in three languages: Portuguese, German and English. Responses in German and Portuguese were translated to English. These translations are shown in a subsequent column, beside the column with the original responses, and are identified by the word "TRANSLATION" in the title. Responses which were already in English were not translated.</pre>
Figure 6 in Society´s awareness for protection of soils, its biodiversity and function in 2030 - We need a more intrinsic approach
Figure 6. The mole standing at the entrance of the Senckenberg exhibition is a popular motif for selfies.
Figure 3 in Society´s awareness for protection of soils, its biodiversity and function in 2030 - We need a more intrinsic approach
Figure 3. The card game 'Soil Builder' by Helga ZumkowskiXylander (2017 b) (only a selection of cards is shown).
Figure 2 in Society´s awareness for protection of soils, its biodiversity and function in 2030 - We need a more intrinsic approach
Figure 2. Pupils experiencing soil life in a class using dissecting microscopes. Soil samples for investigation were taken by the pupils themselves.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.