Transplantation of autologous mesenchymal stromal cells in complete cervical spinal cord injury: a pilot study.

Objective: Spinal cord injury (SCI) is a serious condition that can lead to partial or complete paraplegia or tetraplegia. Currently, there are few therapeutic options for these conditions, which are mainly directed toward the acute phase, such as surgical intervention and high-dose steroid administration. Mesenchymal stromal cells (MSC) have been shown to improve neurological function following spinal cord injury. The aim of the study was to evaluate the safety, feasibility, and potential efficacy of MSC transplantation in patients with cervical traumatic SCI. Methods: We included seven subjects with chronic traumatic SCI (> 1 year) at the cervical level, classified as American Spinal Cord Injury Association impairment scale (AIS) grade A. Subjects received two doses of autologous bone marrow derived MSC, the first by direct injection into the lesion site after hemilaminectomy and the second three months later by intrathecal injection. Neurologic evaluation, spinal magnetic resonance imaging (MRI), urodynamics, and life quality questionnaires were assessed before and after treatment. Results: Cell transplantation was safe without severe or moderate adverse effects, and the procedures were well tolerated. Neurological evaluation revealed discrete improvements in sensitivity below the lesion level, following treatment. Five subjects showed some degree of bilateral sensory improvement for both superficial and deep mechanical stimuli compared to the pretreatment profile. No significant alterations in bladder function were observed during this study. Conclusion: Transplantation of autologous MSC in patients with chronic cervical SCI is a safe and feasible procedure. Further studies are required to confirm the efficacy of this therapeutic approach. Clinical trial registration: https://clinicaltrials.gov/study/NCT02574572, identifier NCT02574572.

Wastewater surveillance for antibiotic resistance genes during the late 2020 SARS-CoV-2 peak in two different populations.

The United States Centers for Disease Control and Prevention reported a rise in resistant infections after the coronavirus disease 2019 (COVID-19) pandemic started. How and if the pandemic contributed to antibiotic resistance in the larger population is not well understood. Wastewater treatment plants are good locations for environmental surveillance because they can sample entire populations. This study aimed to validate methods used for COVID-19 wastewater surveillance for bacterial targets and to understand how rising COVID-19 cases from October 2020 to February 2021 in Portugal (PT) and King County, Washington contributed to antibiotic resistance genes in wastewater. Primary influent wastewater was collected from two treatment plants in King County and five treatment plants in PT, and hospital effluent was collected from three hospitals in PT. Genomic extracts were tested with the quantitative polymerase chain reaction for antibiotic resistance genes conferring resistance against antibiotics under threat. Random-effect models were fit for log-transformed gene abundances to assess temporal trends. All samples collected tested positive for multiple resistance genes. During the sampling period, mecA statistically significantly increased in King County and PT. No statistical evidence exists of correlation between samples collected in the same Portuguese metro area.

Detection of dengue virus and chikungunya virus in wastewater in Portugal: an exploratory surveillance study.

BACKGROUND: The global distribution and prevalence of arboviral diseases have increased in recent years, driven by factors such as climate change, biodiversity loss, globalisation, and urbanisation. These diseases are often underestimated due to uneven surveillance and unreported asymptomatic cases. Current surveillance relies on vector and clinical surveillance. In this study, we aimed to explore wastewater-based surveillance (WBS) as an additional tool for dengue virus (DENV) and chikungunya virus (CHIKV) tracking. METHODS: In this exploratory surveillance study, WBS was done at eleven wastewater treatment plants in three regions in Portugal (North, Lisboa and Vale do Tejo, and south). Using quantitative RT-PCR, we quantified in raw wastewater the RNA concentrations of DENV and CHIKV (non-structural viral protein 1 [nsP1] and envelope protein [E1] genes) once every 2 weeks for a period of 11 months, between May 16, 2022, and April 19, 2023. Results were normalised with crAssphage (concentration of target viral RNA divided by the concentration of crAssphage DNA) and provided as median normalised viral load. Prevalence (proportion of positive samples) and viral quantities were summarised for the total sampling period, by calendar month, and by seasons. FINDINGS: 273 samples were collected from 11 wastewater treatment plants situated across the North (n=75 samples), Lisboa and Vale do Tejo (n=98), and south (n=100) regions of Portugal. DENV was detected in 68 (25%) of 273 samples, with a median viral load of 1·1 × 10-4 (IQR 3·2 × 10-5 to 8·0 × 10-4). CHIKV was detected in 30 (11%) of 273 samples, with median viral loads of 3·1 × 10-4 (1·6 × 10-4 to 6·4 × 10-4; nsP1 gene) and 7·8 × 10-4 (4·2 × 10-4 to 2·0 × 10-³; E1 gene). The pattern of occurrence of CHIKV was similar between regions whereas slight differences were found for DENV. When combining results for the three studied regions, DENV prevalence and viral load had two seasonal peaks (summer and winter) and CHIKV prevalence and viral load had a single peak during March and April of 2023. INTERPRETATION: This study highlights the potential of WBS as a potent tool for gauging the epidemiological landscape of DENV and CHIKV in Portugal, where autochthonous cases have not yet been detected. WBS could serve as an additional element to conventional surveillance approaches, especially in areas where real-time clinical surveillance data are scarce or delayed. FUNDING: EU Emergency Support Instrument and Fundação para a Ciencia e Tecnologia.

The effects of inflammation on connexin 43 in chronic Chagas disease cardiomyopathy.

Background: Cardiac arrhythmias are the main cause of sudden death due to Chronic Chagasic Cardiomyopathy (CCC). Here we investigated alterations in connexin 43 (Cx43) expression and phosphorylation in cardiomyocytes as well as associations with cardiac arrhythmias in CCC. Methods: C57Bl/6 mice infected with Trypanosoma cruzi underwent cardiac evaluations at 6 and 12 months after infection via treadmill testing and EKG. Histopathology, cytokine gene expression, and distribution of total Cx43 and its phosphorylated forms Cx43S368 and Cx43S325/328/330 were investigated. Human heart samples obtained from subjects with CCC were submitted to immunofluorescence analysis. In vitro simulation of a pro-inflammatory microenvironment (IL-1ß, TNF, and IFN-γ) was performed in H9c2 cells and iPSC-derived cardiomyocytes to evaluate Cx43 distribution, action potential duration, and Lucifer Yellow dye transfer. Results: Mice chronically infected with T. cruzi exhibited impaired cardiac function associated with increased inflammation, fibrosis and upregulated IL-1ß, TNF, and IFN-γ gene expression. Confocal microscopy revealed altered total Cx43, Cx43S368 and Cx43S325/328/330 localization and phosphorylation patterns in CCC, with dispersed staining outside the intercalated disc areas, i.e., in lateral membranes and the cytoplasm. Reduced co-localization of total Cx43 and N-cadherin was observed in the intercalated discs of CCC mouse hearts compared to controls. Similar results were obtained in human CCC heart samples, which showed Cx43 distribution outside the intercalated discs. Stimulation of human iPSC-derived cardiomyocytes or H9c2 cells with IL-1ß, TNF, and IFN-γ induced alterations in Cx43 localization, reduced action potential duration and dye transfer between adjacent cells. Conclusion: Heart inflammation in CCC affects the distribution and phosphorylation pattern of Cx43, which may contribute to the generation of conduction disturbances in Chagas disease.

Improving Healthcare Quality with a LHS: From Patient-Generated Health Data to Evidence-Based Recommendations.

One approach to enriching the Learning Health System (LHS) is leveraging vital signs and data from wearable technologies. Blood oxygen, heart rate, respiration rates, and other data collected by wearables (like sleep and exercise patterns) can be used to monitor and predict health conditions. This data is already being collected and could be used to improve healthcare in several ways. Our approach will be health data interoperability with HL7 FHIR (for data exchange between different systems), openEHR (to store researchable data separated from software but connected to ontologies, external terminologies and code sets) and maintain the semantics of data. OpenEHR is a standard that has an important role in modelling processes and clinical decisions. The six pillars of Lifestyle Medicine can be a first attempt to change how patients see their daily decisions, affecting the mid to long-term evolution of their health. Our objective is to develop the first stage of the LHS based on a co-produced personal health recording (CoPHR) built on top of a local LLM that interoperates health data through HL7 FHIR, openEHR, OHDSI and terminologies that can ingest external evidence and produces clinical and personal decision support and, when combined with many other patients, can produce or confirm evidence.

Ethnobotanical knowledge on non-conventional food plants and medicinal plants in Extractivist Reserve in the Brazilian Amazon / Conocimiento etnobotánico sobre plantas alimenticias no convencionales y plantas medicinales en una Reserva Extractivista en la Amazonía Brasileña

Information on the knowledge and ways of using food and medicinal plants by traditional populations, family farmers and Brazilian native population in the Amazon is essential to guarantee the food sovereignty of these groups. This study was conducted using semi-structured interviews applied to local respondents. A total of 269 species of both non-conventional food plants and medicinal plants were identified, distributed in 83 botanical families and 198 genera. The Arecaceae and Lamiaceae families had the highest species richness (11 and 7, respectively). The Shannon-Wiener (H') and Pielou (J') diversity indices were considered high (5.02 and 0.9, respectively) when compared to other ethnobotanical works. In the environment in which these families are found, these species become the only food and medicinal resources available.

La información sobre los saberes y formas de uso de las plantas alimenticias y medicinales por parte de las poblaciones tradicionales, agricultores familiares e indígenas brasileños en la Amazonía es fundamental para garantizar la soberanía alimentaria de estos grupos. Este estudio se realizó utilizando entrevistas semiestructuradas aplicadas a encuestados locales. Se identificaron un total de 269 especies tanto de plantas alimenticiasno convencionales como de plantas medicinales, distribuidas en 83 familias botánicas y 198 géneros. Las familias Arecaceae y Lamiaceae tuvieron la mayor riqueza de especies (11 y 7, respectivamente). Los índices de diversidad de Shannon-Wiener (H') y Pielou (J') fueron considerados altos (5,02 y 0,9, respectivamente) en comparación con otros trabajos etnobotánicos. En el ambiente en que se encuentran estas familias, estas especies se convierten en los únicos recursos alimenticios y medicinales disponibles.

Insights from the EQUALS4COVID19 study on migrant mental health in Portugal: a cross-sectional mixed-methods approach.

BACKGROUND: The COVID-19 pandemic and related disruptive consequences in the economic, health, and educational sectors have impacted people's lives, contributing to a context of increased economic and social vulnerability. The pandemic has revealed and accentuated social inequalities and discrimination based on racial or ethnic origin. This study aimed to contribute to the promotion of the mental health and well-being of migrant populations living in Portugal via the definition of an analytical framework and recommendations emerging from the EQUALS4COVID19 project. METHODS: To gather information on the impact of the COVID-19 pandemic and resilience determinants among immigrants, a mixed-methods approach was implemented in 2022, combining a cross-sectional survey targeting immigrant adults in Portugal, focus groups with immigrants, focus groups with healthcare professionals, and in-depth individual interviews with stakeholders involved in the implementation of measures related to mental health and well-being during the pandemic. The analysis followed an integrated framework; quantitative data informed the script of qualitative data collection methods, and qualitative analysis informed the reinterpretation of quantitative data. RESULTS: The survey with 604 Brazilian and Cape Verdean immigrants revealed that gender (being a woman) was associated with both psychological distress and depression-related symptomatology and that the perception of discrimination was a major risk factor for psychological suffering, while perceived social support and individuals' resilience characteristics were protective factors. Qualitative data provided deeper insights into these findings, revealing the ways mental health is affected by social structures, such as gender and ethnic hierarchies. Migrants tend to work in precarious jobs requiring physical presence, which, together with dense housing conditions, puts them at higher risk of infection. The deterioration of the economic conditions of the general population has also increased the perception of ethnic-racial discrimination, which was found to be related to the increase in insecurity and anxiety-related symptomatology among the migrant population. Newly arrived migrants, with reduced support networks, experienced a greater sense of insecurity as well as concern and anguish regarding relatives who live far away, in their home country. Migrant women reported greater family-related distress, including work-life balance problems. CONCLUSIONS: Proposals to address mental health inequalities should be considered in the context of the necessary global changes both at the societal level and in the delivery of mental health services. Additionally, they should be considered with the active involvement of migrants, families, and communities in the design and delivery of mental health promotion and care processes.

Will the white blood cells tell? A potential novel tool to assess broiler chicken welfare.

This study assessed qualitative and quantitative leukocyte evaluation as potential broiler chicken welfare indicators, contributing to the limited literature on white blood cell (WBC) morphology as a diagnostic tool for welfare. Broiler chicken welfare within four poultry houses (PH) 1 to 4, each on a different farm, was assessed using on-field indicators of affective states and health, and WBC morphology was examined. Affective states were evaluated using the Qualitative Behavior Assessment (QBA), with 25 behavioral expressions scored on a visual analogue scale (VAS) and grouped into two categories. Health indicators included assessments of lameness, footpad dermatitis, dermatitis on the breast and abdominal areas, hock burn, and feather cleaning. Blood samples were collected, differential leukocyte counts were performed, and a cell score was created for the recognition, classification, and interpretation of morphologic diversity of heterophils and lymphocytes. The heterophil to lymphocyte ratio (H/L) was also determined. Descriptive statistics and generalized linear models for binomial responses were used to analyze the results. PH4 differed from the other farms, showing a higher frequency of birds within QBA group 1 ('Attentive'to 'Desperate'), while birds in PH1, PH2, and PH3 were more frequent in QBA group 2 ('Relaxed' to 'Positively occupied'). Elevated proportions of heterophils in birds from PH4 (0.61, CI95%: 0.58; 0.64) and PH3 (0.60, CI95%: 0.57; 0.63) suggested higher stress levels and inflammatory responses. Birds in PH2 and PH4 exhibited higher frequencies of health issues such as dermatitis and lameness, and higher proportions of abnormalities in WBC number and morphology. PH3 and PH4 exhibited higher H/L ratios of 3.03 and 2.58, respectively, consistent with the on-field health and behavioral indicators. Blood samples from birds in PH2 and PH4 showed a proportion of 90% toxic change in heterophils, while in PH1 and PH3 it was 70%, indicating high levels of abnormal WBC morphology across all PHs. The findings emphasize the multifactorial nature of welfare impairments, including environmental conditions, health, and affective states. This highlights the need for indicators that reflect multiple welfare impacts, such as WBC counts and morphological alterations, which can serve as powerful tools in the complex task of assessing animal welfare.

Laponite-Modified Biopolymers as a Conformable Substrate for Optoelectronic Devices.

Biopolymers such as carboxymethyl cellulose and hyaluronic acid are alternative substrates for conformable organic light-emitting diodes (OLEDs). However, drawbacks such as mechanical stress susceptibility can hinder the device's performance under stretched conditions. To overcome these limitations, herein, we developed a nanocomposite based on CMC/HA (carboxymethyl cellulose/hyaluronic acid) and synthetic Laponite, intending to improve the mechanical strength without compromising the film flexibility and transparency (transmittance >80%; 380-700 nm) as substrates for conformable OLEDs. From XRD, FTIR, CP-MAS NMR, and TGA/DTG characterization techniques, it was possible to conclude the presence of Laponite randomly dispersed between the polymer chains. CMC/HA with 5% (w/w) Laponite, CMC/HA 5, presented a higher tensile strength (370.6 MPa) and comparable Young's modulus (51.0 ± 1.2 MPa) in comparison to the nanocomposites and pristine films, indicating a better candidate for the device's substrates. To produce the OLED, the multilayer structure ITO/MoO3/NPB/TCTA:Ir(ppy)3/TPBi:Ir(ppy)3/BPhen/LiF was deposited onto the CMC/HA 5 substrate. The OLEDs fabricated using CMC/HA 5 substrates showed higher luminance (12 kcd/m2) and irradiance (0.9 mW/cm2) values when compared with those based on commercial bacterial cellulose. However, the same device presented a lower efficiency (3.2 cd/A) due to a higher current density. Moreover, the OLED fabricated onto the Laponite-modified biopolymer presented reproducible behavior when submitted to continuous bending stress. Thus, CMC/HA 5 demonstrates potential as a transparent conductor substrate for biopolymer-based OLEDs with comparable performance to commercial bacterial cellulose features.

Metagenomic profiling of raw wastewater in Portugal highlights microbiota and resistome signatures of public health interest beyond the usual suspects.

In response to the rapid emergence and dissemination of antimicrobial resistant bacteria (ARB) and genes (ARGs), integrated surveillance systems are needed to address antimicrobial resistance (AMR) within the One Health Era. Wastewater analyses enable biomarker monitoring at the sewershed level, offering timely insights into pathogen circulation and ARB/ARGs trends originating from different compartments. During two consecutive epidemic waves of the COVID-19 pandemic in Portugal, taxonomic and functional composition of raw urban wastewater from two wastewater treatment plants (WWTPs) representing one million in equivalent population, located in the main urban areas of the country, were profiled by shotgun metagenomics. Hospital wastewater from two central hospitals located in the WWTPs catchment areas were also sequenced. The resistome and virulome were profiled using metagenomic assemblies without taxonomic constraint, and then specifically characterized for ESKAPE pathogens. Urban and hospital wastewater exhibited specific microbiota signatures, Pseudomonadota dominated in the first and Bacteroidota in the latter. Correlation network analyses highlighted 85 (out of top 100) genera co-occurring across samples. The most frequent ARGs were classified in the multidrug, tetracyclines, and Macrolides, Lincosamides, Streptogramins (MLS) classes. Links established between AMR determinants and bacterial hosts evidenced that the diversity and abundance of ARGs is not restricted to ESKAPE, being also highly predominant among emergent enteropathogens, like Aeromonas and Aliarcobacter, or in the iron (II) oxidizer Acidovorax. The Aliarcobacter genus accumulated high abundance of sulphonamides and polymyxins ARGs, while Acinetobacter and Aeromonas hosted the highest abundance of ARGs against beta-lactams. Other bacteria (e.g. Clostridioides, Francisella, Vibrio cholerae) and genes (e.g. vanA-type vancomycin resistance) of public health interest were detected, with targeted monitoring efforts being needed to establish informative baseline data. Altogether, results highlight that wastewater monitoring is a valuable component of pathogen and AMR surveillance in healthy populations, providing a community-representative snapshot of public health trends beyond priority pathogens.

A dataset on Nelore Cattle supplementation in the midwest region of brazil for integrated analysis of supplementation, satellite remote sensing, and weather variables.

Monitoring the herd during supplementation is essential to understanding animals' ingestive activities, making decisions when choosing the supplement parameters, and correctly managing the livestock and agriculture processes. Programmable Automatic Feeders (PAFs) are important tools that support stakeholders in the treatment process, decreasing the time and cost compared to traditional supplementation methods. This paper presents a dataset that consists of data acquired from a supplementation experiment using a PAF with a Nelore herd in a paddock of 16 ha with brachiaria Decumbens forage. The experiment was performed in the Midwest region of Brazil (20°26'37.7″S 54°50'58.5″W) and according to the Köppen climate classification system, the region has a tropical wet and dry climate (Aw). This climate type is typically associated with high temperatures throughout the year. The herd had free access to water and the forage. The PAF supplemented the herd three times a day and collected data such as the frequency and time spent in the feeder of each animal. The experiment data started in December 2022 up to October 2023. The animals were weighed every 13-28 days, and the animals' Average Daily Gain (ADG) was registered. In addition, spectral and weather parameters were acquired via geoprocessing and meteorological (Application Programming Interfaces - APIs). This dataset can support stakeholders in understanding the bovines' collective behaviour at the supplementation process and designing and developing machine-learning models to estimate the quantity of supplementation ingested by the herd.

Representations of lipid nanoparticles using large language models for transfection efficiency prediction.

MOTIVATION: Lipid nanoparticles (LNPs) are the most widely used vehicles for mRNA vaccine delivery. The structure of the lipids composing the LNPs can have a major impact on the effectiveness of the mRNA payload. Several properties should be optimized to improve delivery and expression including biodegradability, synthetic accessibility, and transfection efficiency. RESULTS: To optimize LNPs, we developed and tested models that enable the virtual screening of LNPs with high transfection efficiency. Our best method uses the lipid Simplified Molecular-Input Line-Entry System (SMILES) as inputs to a large language model. Large language model-generated embeddings are then used by a downstream gradient-boosting classifier. As we show, our method can more accurately predict lipid properties, which could lead to higher efficiency and reduced experimental time and costs. AVAILABILITY AND IMPLEMENTATION: Code and data links available at: https://github.com/Sanofi-Public/LipoBART.

Maternal Effects and Trophodynamics Drive Interannual Larval Growth Variability of Atlantic Bluefin Tuna (Thunnus thynnus) from the Gulf of Mexico.

Two cohorts of Atlantic bluefin tuna (Thunnus thynnus) larvae were sampled in 2017 and 2018 during the peak of spawning in the Gulf of Mexico (GOM). We examined environmental variables, daily growth, otolith biometry and stable isotopes and found that the GOM18 cohort grew at faster rates, with larger and wider otoliths. Inter and intra-population analyses (deficient vs. optimal growth groups) were carried out for pre- and post-flexion developmental stages to determine maternal and trophodynamic influences on larval growth variability based on larval isotopic signatures, trophic niche sizes and their overlaps. For the pre-flexion stages in both years, the optimal growth groups had significantly lower δ15N, implying a direct relationship between growth potential and maternal inheritance. Optimal growth groups and stages for both years showed lower C:N ratios, reflecting a greater energy investment in growth. The results of this study illustrate the interannual transgenerational trophic plasticity of a spawning stock and its linkages to growth potential of their offsprings in the GOM.

Is there an association between proficiency in fundamental movement skills and mderate-to-vigorous physical activity in childhood on weekdays and weekends? The REACT project.

OBJECTIVE: The present study probes into the association between children's fundamental movement skills (FMS) and moderate-to-vigorous physical activity (MVPA) during weekdays and weekends. METHODS: This cross-sectional sample included 1014 children aged 6-10 years from the REACT project. Physical activity was assessed with accelerometry, and five FMS (stationary dribble, kick, catch, overhand throw, and underhand roll) were assessed with the digital platform Meu Educativo®. Three groups were formed based on the frequency of FMS that each child mastered: group 1 (wizard level in four or five FMS); group 2 (wizard level in two or three FMS); and group 3 (wizard level in at most one skill). Multilevel models were used to analyze the data treating children (level-1) nested within schools (level-2). RESULTS: Compared to group 1, groups 2 (-12.9 ± 2.3 min day-1) and 3 (-23.9 ± 2.4 min day-1) were less physically active during weekdays and weekends (group 2: -14.7 ± 2.7 min day-1 and group 3: -22.4 ± 2.9 min day-1), independent of age and sex. There was a decline in MVPA during the weekend. Further, on average, boys were more active than girls, and with increasing age, children were less active. CONCLUSION: On average, children with higher FMS levels are generally more physically active than their peers with lower FMS levels. Even though MVPA tends to decline on weekends, FMS proficiency is a significant factor in maintaining 60 min of MVPA on weekends.

Systematic review of mediterranean diet interventions in menopausal women.

The increasing lifespan of women and their extended time spent in menopause pose significant challenges for health care systems, primarily due to the impacts of postmenopausal estrogen deficiency and aging on health. Menopause's onset is linked to a heightened prevalence of obesity, metabolic syndrome, cardiovascular disease, and osteoporosis. Diet is particularly relevant during menopause given its impact on quality of life and longevity and its modifiability. Because the Mediterranean diet is currently regarded as one of the healthiest dietary models in the world, the aim of this systematic review was to assess current evidence regarding the effectiveness of studies on the Mediterranean diet as an intervention for menopausal women. A systematic review of intervention-based studies involving the Mediterranean diet among menopausal women was performed in Scopus, PubMed, and Web of Science. The results of seven that met the inclusion criteria suggests that adherence to the Mediterranean diet can have beneficial impacts on menopausal women's health, including reductions in weight, blood pressure, blood ω6: ω3 ratio, triglycerides, total cholesterol, and LDL levels. Those results seem to be relevant for public health interventions aimed at improving menopausal women's quality of life.

A dataset for pasture parameter estimation based on satellite remote sensing and weather variables.

Estimating pasture parameters is essential for decision-making in the management of livestock and agriculture. Despite that, the time-consuming acquisition of outdoor forage samples and the high cost of laboratory analysis make it infeasible to predict parameters of quality and quantity forage recurrently and with great accuracy. Previous work has shown that multispectral and weather data have correlation with forage parameters, enabling the design of supervised machine learning models to predict forage conditions. Nevertheless, datasets with pasture yield and nutritional parameters, remote sensing and weather information are scarce and rarely available, limiting the design of prediction models. This paper presents a dataset with more than 300 samples of pasture laboratory analyses collected over nearly twelve months from two paddocks. Latitude and longitude coordinates were collected for each sample using GPS coordinates, and this data helped acquire multispectral band signals and eight vegetation index values extracted from Google Earth Engine (Sentinel-2 satellite) for each pixel of each sample. Furthermore, the dataset has weather data from APIs and a meteorological station. These data can also motivate new studies that aim determine pasture behaviour, joining this dataset with larger datasets that have similar information.

Hyoid Bone Movement During Swallowing in Female Thyroidectomy Patients: A Kinematic Ultrasound Study.

The aim of this study was to investigate the measures of displacement, time and velocity of hyoid bone movement in female thyroidectomy patients. Fifty-eight ultrasound videos of 29 women during swallowing were analyzed. The sample was divided into experimental group (EG), composed of 12 women following total or partial thyroidectomy; and control group (CG) of 17 healthy women. The kinematic measures of displacement, time and velocity of hyoid bone displacement were tracked during swallowing of 10 ml of liquid (water) and 10 ml of thickened liquid (honey) in both groups for comparisons. Additional analysis included bolus consistency effect and relationship with clinical characteristics. Ultrasound videos were analyzed according to a standardized protocol using ImageJ software. Displacement, time and velocity of hyoid movement during swallowing of 10 ml of liquid or thickened liquid were not statistically different between female thyroidectomy patients and healthy women. There is no bolus consistency effect on kinematic measures in both groups, but among thyroidectomy patients, velocity of hyoid bone movement is significantly faster in those with swallowing complaints.