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14,063 results for “care”

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dryad36/100

Feasibility and metabolic outcomes of a well-formulated ketogenic diet as an adjuvant therapeutic intervention for women with stage IV metastatic breast cancer: The Keto-CARE trial

<p><em>Purpose:</em></p> <p>Ketogenic diets may positively influence cancer through pleiotropic mechanisms, but only a few small and short-term studies have addressed feasibility and efficacy in cancer patients. The primary goals of this study were to evaluate the feasibility and the sustained metabolic effects of a personalized well-formulated ketogenic diet (WFKD) designed to achieve consistent blood beta-hydroxybutyrate (<span>β</span>HB) &gt;0.5 mM in women diagnosed with stage IV metastatic breast cancer (MBC) undergoing chemotherapy.</p> <p><em>Methods: </em></p> <p>Women (n = 20) were enrolled in a six-month two-phase, single-arm WFKD intervention (NCT03535701). Phase I was a highly-supervised, ad libitum, personalized WFKD, where women were provided with ketogenic-appropriate food daily for three-months. Phase II transitioned women to a self-administered WFKD with ongoing coaching for an additional three-months. Fasting capillary <span>β</span>HB and glucose were collected daily; weight, body composition, plasma insulin, and insulin resistance were collected at baseline, three- and six-months. </p> <p><em>Results:</em></p> <p>Capillary <span>β</span>HB indicated women achieved nutritional ketosis (Phase I mean: 0.8 mM (n = 15); Phase II mean: 0.7 mM (n = 9)). Body weight decreased 10% after three-months, primarily from body fat. Fasting plasma glucose, plasma insulin, and insulin resistance also decreased significantly after three-months (p &lt; 0.01), an effect that persisted at six-months.</p> <p><em>Conclusions</em>:</p> <p>Women diagnosed with MBC undergoing chemotherapy can safely achieve and maintain nutritional ketosis, while improving body composition and insulin resistance, out to six-months.</p>

opencc-zeroJan 2024View details →
dryad36/100

Limited associations between MHC diversity and reproductive success in a bird species with biparental care

<p>The selective pressure from pathogens on individuals can have direct consequences on reproduction. Genes from the major histocompatibility complex (MHC) are central to the vertebrate adaptive immune system and pathogen resistance. In species with biparental care, each sex has distinct reproductive roles and levels of investment, and due to a trade-off with immunity, one can expect different selective regimes acting upon the MHC of each parent. Here, we addressed whether couples combine each other's variation at MHC loci to increase their breeding success. Specifically, we used a 23-year dataset from a barn owl population (<em>Tyto alba</em>) to understand how MHC class Iα and IIβ functional divergence and supertypes of each parent were associated with clutch size and fledging success. We did not detect associations between MHC diversity or supertypes with the clutch size nor with the fledging success. In addition, to understand the relative contribution from the MHC of the genetic parents and the social parents, we analysed the fledging success using only a cross-fostered dataset. We found several associations of weak-to-moderate effect sizes between the father's MHC and fledging success: i) lower MHC-Iα divergence in the genetic father increases fledging success, which might improve paternal care during incubation, and ii) one and two MHC-IIβ DAB2 supertypes in the social father decrease and increase, respectively, fledging success, which may affect the paternal care after hatching. Furthermore, fledging success increased when both parents did not carry MHC-IIβ DAB1 supertype 2, which could suggest conditional effects of this supertype. Although our study relied on a substantial dataset, we showed that the associations between MHC diversity and reproductive success remain scarce and of complex interpretation in the barn owl. Moreover, our results highlighted the need to incorporate more than one proxy of reproductive success and several MHC classes to capture more complex associations.</p>

opencc-zeroJan 2024View details →
dryad36/100

Design and implementation of a brief digital mindfulness and compassion training app for health care professionals: cluster randomized controlled trial

<p><strong>Background: </strong>Several studies show that intense work schedules make health care professionals particularly vulnerable to emotional exhaustion and burnout.</p> <p><strong>Objective:</strong> In this scenario, promoting self-compassion and mindfulness may be beneficial for well-being. Notably, scalable, digital app–based methods may have the potential to enhance self-compassion and mindfulness in health care professionals.</p> <p><strong>Methods: </strong>In this study, we designed and implemented a scalable, digital app–based, brief mindfulness and compassion training program called "WellMind" for health care professionals. A total of 22 adult participants completed up to 60 sessions of WellMind training, 5-10 minutes in duration each, over 3 months. Participants completed behavioral assessments measuring self-compassion and mindfulness at baseline (preintervention), 3 months (postintervention), and 6 months (follow-up). In order to control for practice effects on the repeat assessments and calculate effect sizes, we also studied a no-contact control group of 21 health care professionals who only completed the repeated assessments but were not provided any training. Additionally, we evaluated preand postintervention neural activity in core brain networks using electroencephalography source imaging as an objective<br>neurophysiological training outcome.</p> <p><strong>Results:</strong> Findings showed a post- versus preintervention increase in self-compassion (Cohen d=0.57; P=.007) and state-mindfulness (d=0.52; P=.02) only in the WellMind training group, with improvements in self-compassion sustained at follow-up (d=0.8; P=.01). Additionally, WellMind training durations correlated with the magnitude of improvement in self-compassion across human participants (ρ=0.52; P=.01). Training-related neurophysiological results revealed plasticity specific to the default mode network (DMN) that is implicated in mind-wandering and rumination, with DMN network suppression selectively observed at the postintervention time point in the WellMind group (d=–0.87; P=.03). We also found that improvement in self-compassion was directly related to the extent of DMN suppression (ρ=–0.368; P=.04).</p> <p><strong>Conclusions:</strong> Overall, promising behavioral and neurophysiological findings from this first study demonstrate the benefits of brief digital mindfulness and compassion training for health care professionals and compel the scale-up of the digital intervention.</p>

opencc-zeroFeb 2024View details →
zenodo36/100

Fig. 1 in Peering beyond the monotypic veil: taxonomy and notes on the parental care of Neocranaus (Opiliones: Gonyleptoidea: Cranaidae)

Fig. 1. Geographic distribution of the genus Neocranaus Roewer, 1913.

opencc-by-4.0Mar 2024View details →
zenodo36/100

Evaluation of comparative Efficacy of two routes of administration of Carathmus Tinctorius (Medicated Enema and Nasal Administration) as an Adjuvant Therapy with Standard Care With Physiotherapy in the Rehabilitation of Thrombolytic Stroke (Pakshaghat): A Randomized Controlled Trial Protocol

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo36/100

Compassion Fatigue and Compassion Satisfaction among Registered Nurses Caring for Cancer Patients: An Explorative Survey

<p>Compassion fatigue is a complex phenomenon, increasingly studied by health services. In addition to the analysis of the phenomenon, studies also consider the factors that influence the satisfaction deriving from nursing work, characterized by the compassion inherent in the relationship with the patient, in addition to the associated fatigue and the consequent risk of Burnout. . The aim of this study, conducted at the IOV - Veneto Oncology Institute in Padua, is to describe Compassion Fatigue and Compassion Satisfaction in nurses working in oncology, where the work requires a strong degree of sensitivity. An exploratory cross-sectional survey was conducted on a convenience sample of nurses from homogeneous medical and surgical areas who work with cancer patients. A validated Italian version of the Professional Quality of Life Scale: Compassion Satisfaction and Fatigue was applied. Socio-demographic and professional classification variables were also recorded.</p> <p>&nbsp;</p>

restrictedcc-by-4.0Nov 2024View details →
zenodo36/100

Effect of Women autonomy on Antenatal care

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo36/100

Generative AI in Healthcare: Revolutionizing Patient Care and Medical Innovation

<p><a href="https://autorexa.com/transforming-patient-care-the-role-of-generative-ai-in-modern-healthcare/">Generative AI in Healthcare</a> is revolutionizing the medical field by enhancing diagnostics, accelerating drug discovery, enabling personalized treatments, and improving patient engagement. From creating synthetic medical images for training to developing tailored treatment plans, this technology is transforming patient care and medical research. With its ability to analyze vast datasets and automate complex processes, generative AI is driving efficiency, reducing costs, and delivering precise solutions. Learn how generative AI is shaping the future of healthcare with innovation, accuracy, and accessibility.</p>

opencc-by-4.0Dec 2024View details →
zenodo36/100

DATA BASE Effectiveness of an educational intervention in the integral care of patients with DM2

<p>the database of the article is presented without sensitive data of the participants.</p>

opencc-by-4.0Dec 2024View details →
dryad36/100

Data from: Differences in sibling cooperation in presence and absence of parental care in a genus with interspecific variation in offspring dependence

<p>The widely spread evolutionary strategy of parental care is considered an important driver of social evolution. While offspring were long thought to primarily interact competitively, recent studies revealed the potential importance of sibling cooperation. Theories suggest that the degree of cooperation in offspring interactions depends on the degree of offspring dependence on parental care: offspring unable to forage on their own should compete more, whereas more independent juveniles may increase the degree of cooperation. In this study, we tested the occurrence of sibling cooperation in the absence of post-hatching care in several burying beetle species exhibiting varying degrees of offspring dependence. To this end, we measured larval growth rate and survival in the presence and absence of pre-hatching care using different brood sizes. We found that sibling cooperation cannot be exclusively explained by offspring dependence on parental care. While only species with more independent larvae cooperated when receiving pre-hatching care, larval cooperation occurred across species in the absence of care. The latter result suggests that sibling cooperation was already present in an early ancestor of the genus <em>Nicrophorus</em>. Overall, these findings give important insights into the transition from facultative to obligate family life.</p>

opencc-zeroNov 2021View details →
zenodo36/100

Psychological Characteristics of patients with Takotsubo Syndrome and patients with Acute Coronary Syndrome: an explorative study toward a better personalized care

<p>Database of the paper:&nbsp;Psychological Characteristics of patients with Takotsubo Syndrome and patients with Acute Coronary Syndrome: an explorative study toward a better personalized care</p>

opencc-by-4.0Nov 2021View details →
dryad36/100

Ecological inference using data from accelerometers needs careful protocols

<p>1. Accelerometers in animal-attached tags have proven to be powerful tools in behavioural ecology, being used to determine behaviour and provide proxies for movement-based energy expenditure. Researchers are collecting and archiving data across systems, seasons and device types. However, in order to use data repositories to draw ecological inference, we need to establish the error introduced according to sensor type and position on the study animal and establish protocols for error assessment and minimization.</p> <p>2. Using laboratory trials, we examine the absolute accuracy of tri-axial accelerometers and determine how inaccuracies impact measurements of dynamic body acceleration (DBA) in human participants, with DBA as the main acceleration-based proxy for energy expenditure. We then examine how tag type and placement affect the acceleration signal in birds, using (i) pigeons <i>Columba livia</i> flying in a wind tunnel, with tags mounted simultaneously in two positions, and (ii) back- and<i> </i>tail-mounted tags deployed on wild kittiwakes <i>Rissa tridactyla.</i> Finally, we (iii) present a case study where two generations of tag were deployed using different attachment procedures on red-tailed tropicbirds <i>Phaethon rubricauda</i> foraging in different seasons.</p> <p>3. Bench tests showed that individual acceleration axes required a two-level correction to eliminate measurement error. This resulted in DBA differences of up to 5% between calibrated and uncalibrated tags for humans walking at a range of speeds. Device position was associated with greater variation in DBA, with upper- and lower back-mounted tags varying by 9% in pigeons, and tail- and back-mounted tags varying by 13% in kittiwakes. The largest variation occurred between tropicbirds tagged in different seasons, where DBA varied by 25%, which may be due to tag attachment procedures. In general, the tropicbird study highlights the difficulties of attributing changes in signal amplitude to a single factor, when confounding influences tend to covary.</p> <p>4. Accelerometer accuracy, tag placement, and attachment critically affect the signal amplitude and thereby the ability of the system to detect biologically meaningful phenomena. We propose a simple method to calibrate accelerometers that can be executed under field conditions. This should be used prior to deployments and archived with resulting data. We also suggest a way that researchers can assess accuracy in previously collected data, and caution that variable tag placement and attachment can increase sensor noise and even generate trends that have no biological meaning.</p>

opencc-zeroJan 2022View details →
zenodo36/100

Antenatal depression: Associations with birth and neonatal outcomes among women attending maternity care in Harare, Zimbabwe

<p>This is&nbsp;a dataset used to describe the results in a manuscript submitted to PLoS ONE</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Dataset_Scoping review_Changes in quality of cancer care assessed through performance indicators

<p>Data&nbsp;on which the conclusions of the study &quot;<em>Changes in the quality of cancer care as assessed through performance indicators during the first wave of the COVID-19 pandemic in 2020: a Scoping Review</em>&quot; rely, namely: articles included in the Scoping Review and performance indicators extracted and collated.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Data repository of Predictors of Social Response to COVID-19 among Health Care Workers Caring for Individuals with Confirmed COVID-19 in Jordan

<p>The outbreak of COVID-19 forced public health authorities around the world to call for national emergency plans. Public responses, in form of social discrimination and stigmatizing behaviors, are increasingly being observed against confirmed individuals with confirmed COVID-19 and healthcare workers (HCWs) caring for those individuals. Hence, this study aimed to investigate the perception of social discrimination and coping strategies, and explore predictors of social discrimination and coping toward COVID-19 among HCWs and individuals with confirmed COVID-19. This study used a cross-sectional descriptive-comparative design to collect data using a convenience sample of 105 individuals with confirmed COVID-19 and 109 HCWs using a web-based survey format. In this study, individuals confirmed with COVID-19 reported a high level of social discrimination compared with HCWs (t = 2.62, <em>p</em> &lt; .01). While HCWs reported high level of coping with COVID-19 compared with individuals with COVID-19 (t = -3.91, <em>p</em> &lt; .001). Educational level, age, monthly income, and taking over-the-counter medication were predictors of social discrimination and coping with COVID-19 among HCWs and individuals confirmed with COVID-19. In conclusion, the findings showed individuals with confirmed COVID-19 were more likely to face social discrimination and HCWs perform better coping with COVID-19 than individuals with confirmed COVID-19.</p>

opencc-by-4.0Jan 2022View details →
dryad36/100

Quality of care and performance indicators of mental health supported accommodation services in England

<p class="MsoNormal"><span>This dataset includes data from Mental Health supporting accommodation services in England. It includes information on resources (inputs) and outcomes (outputs) of care, which are described in the manuscript published in Plos One: "Almeda, N., García-Alonso, C. R., Killaspy, H., Gutiérrez-Colosía, M. R., &amp; Salvador-Carulla, L. (2022). The critical factor: The role of quality in the performance of supported accommodation services for complex mental illness in England. Plos One, 17(3), e0265319. https://doi.org/10.1371/journal.pone.0265319"</span></p> <p class="MsoNormal"><span>The research associated with the present data focused on developing an analytical process for assessing the performance of the Mental health (MH) supporting accommodation services from 14 different regions of England considering the effect of the quality-of-care indicators in the performance. For doing so every service was classified in Residential Care (move on and non-move on oriented), Supported Housing or Floating Outreach. Then, information about the quality-of-care was collected from each domain of the instrument QuIRC-SA. Finally, a decision support system that integrated data envelopment analysis, Monte Carlo simulation and artificial intelligence was used.</span></p> <p class="MsoNormal"><span>The main results of the analyses pointed out that the incorporation of quality domains as variables (outputs) in DEA had a neutral-positive or positive global impact on the performance of MH-supported accommodation services.</span></p>

opencc-zeroMar 2022View details →
dryad36/100

Female extra-pair behavior is not associated with reduced paternal care in Thorn-tailed Rayadito

<p>Extra-pair behavior is present in 76% of socially monogamous bird species with biparental care. This behavior may produce costs to females related to a reduction in paternal care. We estimated the percentage of extra-pair offspring and quantified paternal care in 44 nests of Thorn-tailed Rayadito (Aphrastura spinicauda) to assess whether males reduce their parental care when females obtain extra-pair fertilizations. We used data from a sub-Antarctic population of Rayadito located on Navarino Island (55°4′S, 67°40′W), southern Chile. We found no statistical support for a relationship between variation in paternal care and the percentage of extra-pair offspring. We discuss how the inability of breeding males to assess their genetic paternity and potential restrictions on behavioral flexibility may explain this result. Additionally, if paternal care is subjected to sexual selection, this could limit a facultative response to female extra-pair behavior by males. Finally, it is possible that a reduction in paternal care might not have evolved in this particular locality given the low frequency of extra-pair paternity in our study population.</p>

opencc-zeroMar 2022View details →
zenodo36/100

Data set for manuscript "Optimal utilization of PMTCT of HIV services among adolescents under group versus focused antenatal care"

<p>The derived variables in the data set are labeled &quot;DER what variables they are derived from&quot; except the variable &quot;optimal utilization which is a composite outcome of other variables depending on HIV status as described in the manuscript.</p> <p>The variables &quot;...cat&quot; are categorized or recoded from an original numeric/ categorical variable</p> <p>The variables bin are&nbsp;used when a &quot;cat&quot; variable exists but further recoding is done to form a binary variable</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Best Skin Care Products online in India

<p>Are you looking for&nbsp;<a href="https://thaicare.in/">Best Skin Care Products</a>&nbsp;online in India? Today we have brought the best selected Thai face care Products Online with great effectiveness, suitable for Indian skin and lifestyle.</p> <p>Here are some beauty products, you can visit:</p> <p><a href="https://thaicare.in/product/lx-lexia-complete-combo/">vitamin c serum for face</a></p> <p><a href="https://thaicare.in/product/lx-lexia-complete-night-essence-serum/">best serum for acne marks</a></p> <p><a href="https://thaicare.in/product/lx-lexia-serum-cream-combo/">serum &amp; Cream for skin care</a></p>

opencc-by-4.0May 2022View details →
zenodo36/100

Datasets for Health care workers' knowledge on identification, management and treatment of snakebite cases in rural Malawi

<p>This is the data for a&nbsp;Health care workers&#39; knowledge on identification, management and treatment of snakebite cases in rural Malawi: a descriptive study.</p>

opencc-by-4.0Jul 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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