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4,578 results for “Assistance”
Experimental data for the study: "Hiding Assistive Robots During Training in Immersive VR Does not Affect Users' Motivation, Presence, Embodiment, and Performance"
<p>The datasets contains the motor performance metrics, the gaze fixation time ratios, and the questionnaire responses for a study involving a motor task with a rehabilitation assistive robot and an immersive virtual reality head-mounted display. The study was performed in the Motor Learning and Neurorehabilitation Laboratory at University of Bern. All data are stored in “csv” files. The variables inside the files are explained in “DataFrameDescription.rtf”. For questions, please contact nicolas.wenk@unibe.ch or L.MarchalCrespo@tudelft.nl.</p>
Results of the analysis of the structure of biomass after microwave-assisted hydrotropic pretreatment.
<p>Results of analyzes of the structure of lignocellulosic biomass of various origins. The analyzes include the use of FTIR, SEM, XRD and NMR techniques. The work was supported by the National Science Centre, Poland, grant No. 2020/37/B/NZ9/00372.</p>
CN, Vehicles Platooning, Cloud-assisted platooning
<p>Use Case Category: <strong>Vehicles Platooning</strong><br> User Story: <strong>Cloud-assisted platooning</strong><br> Location: Chinese (CN) trial site</p> <p>According to 3GPP TS 22.186 R16, Vehicles Platooning “enables the vehicles to dynamically form a group travelling together. All the vehicles in the platoon receive periodic data from the leading vehicle, in order to carry on platoon operations. This information allows the distance between vehicles to become extremely small, i.e., the gap distance translated to time can be very low (sub second). Platooning applications may allow the vehicles following to be autonomously driven”.</p> <p>User Story: <strong>Cloud-assisted platooning</strong></p> <p>The autonomous driving vehicle fleet communicates with each other through LTE-V at the start. Among them, the leading vehicle includes the platoon control unit (PCU), which coordinates the vehicles in the fleet to ensure a certain safe distance and to drive in a platoon. The leading vehicle communicates with the control centre deployed in a cloud server through V2N to obtain the test scheme and the global path planning. Then it provides the basic planning for the rear vehicle through V2V communication (including chasing, continuous running, acceleration, deceleration, obstacle avoidance, overall acceleration, and deceleration, etc.). The following vehicle also has a certain perception and planning decision-making ability. Besides, LTE-V communication can be replaced by DSRC technology, and comparison between these two methods will be implemented.</p>
DE, Vehicles Platooning, eRSU-assisted platooning
<p>Use Case Category: <strong>Vehicles Platooning</strong><br> User Story: <strong>eRSU-assisted platooning</strong><br> Location: German (DE) trial site</p> <p>According to 3GPP TS 22.186 R16, Vehicles Platooning “enables the vehicles to dynamically form a group travelling together. All the vehicles in the platoon receive periodic data from the leading vehicle, in order to carry on platoon operations. This information allows the distance between vehicles to become extremely small, i.e., the gap distance translated to time can be very low (sub second). Platooning applications may allow the vehicles following to be autonomously driven”.</p> <p>User Story: eRSU-assisted platooning</p> <p>In this use case, a platoon of 3 AVs is operating along a road. The platoon approaches a truck. At 500m to a junction, the truck signals its intention to take the right turn and slows down.</p> <p>A local EDM instance deployed on an eRSU located at the junction, detects the truck’s changing velocity and trajectory through learned pattern recognition from local sensor data. It updates the global map and notifies the centralized traffic management & planning applications through eRSU’s upstream interfaces.</p> <p>The platoon leader detects a potential collision as it approaches the truck and request the EDM from the eRSU. The route planning service in the eRSU detects a possible overtaking manoeuvre due to low traffic ahead and possibly adapted green light phase for extended free flow based on information from traffic management system.</p> <p>Based on the information provided by the eRSU and its services, the platoon leader initiates an overtaking manoeuvre by communicating context data (location, speed, LDM) to the eRSU. Using the EDM, the route planning service in the eRSU formulates the overtaking manoeuvre and communicates the overtaking plan to the platoon leader.</p> <p>During the overtaking manoeuvre, the platoon enters the coverage of an eRSU of another provider. This results in eRSU handover with upstream gateway relocation from current MNO’s eNB/gNB to new MNO’s. In effect, the ITS instances and context on source eRSU must be handed over to the new eRSU. At mobile network level, this handover is carried out with handover protocol between the MNOs’ core networks. At application level, resource and service allocation are orchestrated by the centralized ITS service entities, which are made aware of mobile network and MEC provisioning.</p>
CN, Advanced Driving, Cloud-assisted advanced driving
<p>Use Case Category: <strong>Advanced Driving</strong><br> User Story: <strong>Cloud-assisted advanced driving</strong><br> Location: Chinese (CN) trial site</p> <p>According to 3GPP TS 22.186 R16, Advanced Driving “enables semi-automated or fully-automated driving. Longer inter-vehicle distance is assumed. Each vehicle and/or Road Side Unit (RSU) shares data obtained from its local sensors with vehicles in proximity, thus allowing vehicles to coordinate their trajectories or manoeuvres. In addition, each vehicle shares its driving intention with vehicles in proximity. The benefits of this use case group are safer traveling, collision avoidance, and improved traffic efficiency”.</p> <p>User Story: Cloud-assisted advanced driving</p> <p>In the China site, the roadside unit, remote control centre and cloud server will monitor and control the autonomous vehicles in real time, to realize the various testes of Internet-connected applications of vehicles safely and efficiently. In the high-level abstraction of the user story, Vehicle A and Vehicle B are both running in a straight line along the right lane. Vehicle B is traveling at a constant speed in front of Vehicle A, and both vehicles keep a small distance. In the beginning, the remote-control centre (MEC) issues the overtaking order to vehicle A through the RSU. After receiving the order, Vehicle A sends the overtaking information to Vehicle B through V2V communication and receive the real-time information from Vehicle B via V2V, which includes the position, speed and heading angle of the vehicle. Thus, Vehicle A makes an automatic decision according to the information of Vehicle B.</p> <p>The decision-making of Vehicle A is detailed as follows: First, it changes to the left lane; then it accelerates to overtake according to the speed of Vehicle B. Finally, it changes lane back to the right lane, and sends its information to Vehicle B. In this way, these two cars complete overtaking operation. In this process, Vehicle A exchanges messages related to CoCA (Coordinated collision avoidance) through the 3GPP V2X communication service, while other vehicles transmit messages through the 3GPP communication service as well, finally they will achieve coordinated manoeuvring.</p>
FR, Advanced driving, Infrastructure-assisted
<p>Use Case Category: <strong>Advanced Driving</strong><br> User Story: <strong>Infrastructure-assisted advanced driving</strong><br> Location: French (FR) trial site</p> <p>According to 3GPP TS 22.186 R16, Advanced Driving “enables semi-automated or fully-automated driving. Longer inter-vehicle distance is assumed. Each vehicle and/or Road Side Unit (RSU) shares data obtained from its local sensors with vehicles in proximity, thus allowing vehicles to coordinate their trajectories or manoeuvres. In addition, each vehicle shares its driving intention with vehicles in proximity. The benefits of this use case group are safer traveling, collision avoidance, and improved traffic efficiency”.</p> <p>User Story: Infrastructure-assisted advanced driving</p> <p>This user story deals with safe lane change manoeuvre dictated from road operator in presence on a multi-lane highway in presence of separation signs between the different lanes. The most critical factors of lane change manoeuvres comprise the following: a safe distance to the oncoming separation signs when initiating the lane change operation and a safe gap to the connected vehicle behind coming in the same direction, but on a different lane.</p> <p>Consequently, such a system requires the capability to manage the speed and steering in a coordinated manner, thereby minimizing collision risk with neighbouring vehicles in a hybrid environment (connected, automated, basic vehicles).</p> <p>In this user story, the MEC will receive two types of data: the first one is provided by the road operator’s Traffic Management Centre (TMC) in order to share up to date information about the different types and rules of the toll gates (heavy trucks, CAV, payment methods), while the second data flow will be provided by roadside sensors (such as cameras, lidar) in order to be aware of the presence of separation signs between the different lanes on the roads.</p> <p>The received raw data will be fused and treated in vicinity of the road entities, i.e. in the MEC, to be quickly processed. After analysing all the input data together with the vehicle related information (location, speed), the MEC will take the lane change decision, calculate the trajectory and will guide the vehicle in order to safely change the lane.</p> <p>MEC information is given to the automated vehicle in time, so it can start its lane change manoeuvre. The automated vehicle will also inform the connected vehicle coming behind in the same direction about its trajectory change intention to ensure a safe and efficient lane change operation. Involved vehicles will exchange their intended trajectories to coordinate their lateral (steering) and longitudinal controls (acceleration/deceleration) to ensure a smooth manoeuvre. Such a communication should be rapid and reliable enough to guarantee the safety of both vehicles (URLLC service of 5G networks).</p>
Dataset: Tailoring the Magnetic and Structural Properties of Manganese/Zinc Doped Iron Oxide Nanoparticles through Microwaves-Assisted Polyol Synthesis
<p>Data set</p>
A proteome-wide map of chaperone-assisted protein refolding in a cytosol-like milieu
<p>The journey by which proteins navigate their energy landscapes to their native structures is complex, involving (and sometimes requiring) many cellular factors and processes operating in partnership with a given polypeptide chain's intrinsic energy landscape. The cytosolic environment and its complement of chaperones play critical roles in granting many proteins safe passage to their native states; however, it is challenging to interrogate the folding process for large numbers of proteins in a complex background with most biophysical techniques. Hence, most chaperone-assisted protein refolding studies are conducted in defined buffers on single purified clients. Here, we develop a limited-proteolysis mass spectrometry approach paired within an isotope-labeling strategy to globally monitor the structures of refolding <em>E</em>. <em>coli</em> proteins in the cytosolic medium and with the chaperones, GroEL/ES (Hsp60) and DnaK/DnaJ/GrpE (Hsp70/40). GroEL can refold the majority (85%) of the <em>E</em>. <em>coli</em> proteins for which we have data, and is particularly important for restoring acidic proteins and proteins with high molecular weight, trends that come to light because our assay measures the structural outcome of the refolding process itself, rather than binding or aggregation. For the most part, DnaK and GroEL refold a similar set of proteins, supporting the view that despite their vastly different structures, these two chaperones both unfold misfolded states, as one mechanism in common. Finally, we identify a cohort of proteins that are intransigent to being refolded with either chaperone. The data support a model in which chaperone-nonrefolders may fold most efficiently cotranslationally, and then remain kinetically trapped in their native conformations.</p>
Assisted sexual reproduction of Acropora cervicornis for active restoration on Florida's Coral Reef
<p class="MsoNormal">Given the rapid, global decline in the health and abundance of coral reefs, increased investments in restoration-based interventions – including asexual and sexual propagation – are being made by coral reef scientists at research institutions, but also at zoos and aquariums. Mote Marine Laboratory & Aquarium is an independent, non-profit marine science organization dedicated to the conservation and restoration of Florida's Coral Reef, and does so, using science-based strategies. In order to promote the long-term persistence, resilience, and adaptive potential of restored coral populations on Florida's Coral Reef, Mote scientists are performing critical research and restoration activities related to assisted sexual reproduction (ASR). The objective of this study was to optimize ASR of <em>Acropora</em> <em>cervicornis</em> by (1) evaluating broodstock compatibility for genets actively used within Mote's restoration gene pool, (2) optimizing larval settlement by testing spectral cues, (3) and optimizing the grow-out of sexual recruits by testing the impact of light on growth, survival, and algal symbiont uptake in the presence of adult corals or not. Overall, we found that corals and genets spawned with high synchrony, both within and across years, and in terms of predicted spawning times related to nights after the full moon and minutes after sunset. Across two years, overall fertilization success was high (~95%), but we did find one pair of genets that was not compatible. During settlement, larvae preferred pink and purple-colored substrates, which was consistent with our expectation that they would select substrates similar in color to crustose coralline algae (CCA). Interestingly though, they only did so when a matching chemical cue from CCA was also present, indicating that larvae integrate multiple cues simultaneously to determine the most appropriate place to settle. Growth and symbiont uptake were faster in recruits reared in the presence of adult corals and additional lighting, but survivorship was not different through the first ten weeks post-settlement between treatments. A subset of corals was outplanted using two different techniques based on single or clustered corals. We report the initial 1-month survival results. We also provide a detailed protocol and general recommendations for ASR based on years of coral sexual propagation experience.</p>
Characterization of grain carotenoids in global sorghum germplasm to guide genomics-assisted breeding strategies
<p><strong>Background</strong></p> <p>Crop biofortification is a successful strategy to ameliorate Vitamin A deficiency. Sorghum is a good candidate for vitamin A biofortification, as it is a staple food in regions with high prevalence of vitamin A deficiency. β-carotene—the main provitamin A carotenoid—is below the target concentration in sorghum grain, therefore, biofortification breeding is required. Previous studies found evidence that sorghum carotenoid variation is oligogenic, suggesting that marker-assisted selection can be an appropriate biofortification method. However, we hypothesize that sorghum carotenoids have both oligogenic and polygenic components of variation. Genomics-assisted breeding could accelerate breeding efforts, but there exists knowledge gaps in the genetics underlying carotenoid variation, as well as appropriate germplasm to serve as donors.</p> <p><strong>Results</strong></p> <p>In this study, we characterized carotenoids in 447 accessions from the sorghum association panel and carotenoid panel using high-performance liquid chromatography, finding high carotenoid accessions not previously identified. Genome-wide association studies confirmed that zeaxanthin epoxidase is a major gene underlying variation for not only zeaxanthin but also lutein and β-carotene. High carotenoid lines were found to have limited genetic diversity and originated predominantly from only one country. Potential novel genetic diversity for carotenoid content was identified through genomic predictions in 2,495 accessions of unexplored germplasm. Oligogenic variation of carotenoids was confirmed, as well as evidence for polygenic variation, suggesting both marker-assisted selection and genomic selection can facilitate breeding efforts.</p> <p><strong>Conclusions</strong></p> <p>Sorghum vitamin A biofortification could be beneficial for millions of people who rely on it as a dietary staple. Carotenoid content in sorghum is low, but high heritability suggests that increasing concentrations through breeding is possible. Low genetic diversity among high carotenoid lines might be the main limitation for breeding efforts, therefore further germplasm characterization is needed to assess the feasibility of biofortification breeding. Based on germplasm here evaluated, most countries' germplasm lacks high carotenoid alleles, thus prebreeding will be needed. An SNP marker within the zeaxanthin epoxidase gene was identified as a good candidate for use in marker-assisted selection. Due to the oligogenic and polygenic variation of sorghum grain carotenoids, both marker-assisted selection and genomic selection can be employed to accelerate breeding efforts.</p>
Genomic analyses point to a low evolutionary potential of prospective source populations for assisted migration in a forest herb
<p>Climate change is increasingly impacting temperate forest ecosystems and many forest herbs might be unable to track the changing climate due to dispersal limitation. Forest herbs with a low adaptive capacity may therefore benefit from conservation strategies that mitigate dispersal limitation and evolutionary constraints, such as assisted migration. However, assisted migration strategies rarely consider evolutionary constraints of potential source populations that may jeopardize their success. In cases where climate adaptation is overshadowed by competing evolutionary processes, assisted migration is unlikely to support adaptation to future climates. Using a combination of population and landscape genomic analyses, we disentangled local adaptation drivers and quantified the adaptability and vulnerability to climate change of the self-incompatible deciduous forest herb <em>Primula</em> <em>elatior</em>. Southern populations displayed a sharp genetic turnover, and a considerable amount of local adaptation under diversifying selection was discovered. However, most of the outlier loci could not be linked to climate variables (71%) and were likely related to other local adaptation drivers, such as photoperiodism. Furthermore, specific adaptations to climate extremes, such as drought stress, could not be detected. This is in line with the typical occurrence of forest herbs in buffered climatic conditions, which can be expected to reduce selection pressures imposed by climate. Finally, populations in the south of the distribution area had increased sensitivity to climate change due to a reduced adaptive capacity and a moderate genetic offset, while central European populations were sensitive due to a high genetic offset. We conclude that assisted migration from southern source populations could bear significant risk due to nonclimatic maladaptation and a low adaptive capacity. Regional admixture and restoration of ecological connectivity to increase the adaptive capacity, and assisted range expansion to suitable habitat in the north might be more appropriate mitigation strategies.</p>
assisted-living-capacities-hun
Assisted Living Capacities in Hungary <blockquote> <p>relies on <a href="https://github.com/sscu-budapest/datazimmer">datazimmer</a> and the <a href="https://sscu-budapest.github.io/tooling">tooling</a> of sscub</p> </blockquote>
Data for the paper "Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems"
<p>Data for the paper "Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems"</p>
Data Set to doi.org/10.3390/app13042747 "Robot Assisted THz Imaging with a Time Domain Spectrometer"
<p>Data set to article "Robot Assisted THz Imaging with a Time Domain Spectrometer" in Applied Sciences 2023, 13, 2747.</p>
Computer-assisted abridgment of a classification scheme
<p>Work is under way to define and test a model for semi-automatic abridgment of the Dewey Decimal Classification (DDC) system. This abridgment is guided by data in the current full and abridged editions and by principles and practices that inform development and maintenance of the classification. The model is immediately applicable to the development of the next abridged edition of the DDC; other applications include derivation of different views of the DDC and management of multilingual content at various levels of development.</p>
International cooperation and Chinese pension reform I: technical assistance, and cooperation projects (1994-2010)
<p>The list provides an overview of international exchange activities relating to Chinese pension reform: exchanges, technical assistance, and cooperation projects in the period 1994 to 2010. Main actors are international organizations, such as the World Bank, Asia Development Bank (ADB), next to the EU and national governments. </p> <p>Matthias Stepan has compiled the information in the period 2009-2013. It has been part of his dissertation project at VU University Amsterdam. </p>
Tail-Wave-Assisted Positron Acceleration in Nonlinear Laser Plasma Wakefields
<p>The data and vector diagrams of the results of positron trapping and acceleration when the initial parameters are modified.</p>
Photoelectrochemical performance of BiOI/TiO2 Nanotube Arrays (TNAs) p-n heterojunction synthesized by SILAR-ultrasonication-assisted methods
<p class="MsoNormal"><span>In order to extend the visible region activity of titania nanotube array (TNAs) films, the Successive Ionic Layer Adsorption and Reaction (SILAR)-ultrasonication-assisted method has been used to prepare BiOI-modified TiO<sub>2</sub> nanotube arrays (BiOI/TNAs). The band gap of BiOI/TNAs for all the variations reveals absorption in the visible absorption. The surface morphology of BiOI/TNAs is shown in the nanoplate, nanoflake, and nanosheet forms with a vertical orientation perpendicular to TiO<sub>2</sub>. The crystalline structure of BiOI did not change the structure of the anatase TNAs, with the band gap energy of the BiOI/TNAs semiconductor in the visible region. The photocurrent density of the BiOI/TNAs extends to the visible-light range. BiOI/TNAs with 1 mM Bi and 1 mM KI on TNAs 40 V 1 h 50 V 30 min shows the optimum photocurrent density. A tandem dye-sensitized solar cell (DSSC)-photoelectrochemical (PEC) was used for hydrogen production in salty water. BiOI/TNAs optimum was used as the photoanode of the PEC cell. Solar to hydrogen conversion efficiency (STH) of tandem DSSC-PEC reaches 1.34% in salty water.</span></p>
Reflection Of Video Assistant Referee Technology on Professional Football Discipline Board Decisions
<p>The aim of this study is to understand how Video Assistant Referee (VAR) technology is reflected in the decisions of Professional Football Disciplinary Board (PFDK) and to examine whether this technology creates any change. In accordance with this purpose, comparison of disciplinary violations detected in Super League competitions in general and direct send-off decisions to PFDK decisions was carried out within the scope of 2018-2019 and 2019-2020 seasons, the first two seasons where VAR technology was used in Super League, and 2016-2017 and 2017-2018 seasons, the last two seasons where VAR technology was not used. PFDK decisions for four seasons between 2016-2020 were collected by document analysis.</p>
Reproducibility Report for the paper "Vibration signal-assisted endpoint detection for long-stretch, ultraprecision polishing processes"
<p>This reproducibility report includes the datasets and computer code used for reproducing the results in the paper, Jin, Bukkapatnam, Hayes, and Ding, 2023, “Vibration signal-assisted endpoint detection for long-stretch, ultraprecision polishing processes,” <em>ASME Transactions, Journal of Manufacturing Science and Engineering</em>, Vol.145, pp. 061007.</p>
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.