Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability, measurement error and minimum detectable change in mobility measures: a cohort study of community-dwelling adults aged 50 years and over in Ireland

Objective To estimate the effects of repeat assessments, rater and time of day on mobility measures and to estimate their variation between and within participants in a population-based sample of Irish adults aged ≥50 years. Design Test–retest study in a population representative sample. Setting Academic health assessment centre of The Irish Longitudinal Study on Ageing (TILDA). Participants 128 community-dwelling adults from the Survey for Health, Ageing and Retirement in Europe (SHARE) Ireland study who agreed to take part in the SHARE-Ireland/TILDA collaboration. Interventions Not applicable. Outcome measures Participants performed timed up-and-go (TUG), repeated chair stands (RCS) and walking speed tests administered by one of two raters. Repeat assessments were conducted 1–4 months later. Participants were randomised with respect to a change in time (morning, afternoon) and whether the rater was changed between assessments. Within and between-participant variance for each measure was estimated using mixed-effects models. Intraclass correlation (ICC), SE of measurement and minimum detectable change (MDC) were reported. Results Average performance did not vary between baseline and repeat assessments in any test, except RCS. The rater significantly affected performance on all tests except one, but time of day did not. Reliability varied from ICC=0.66 (RCS) to ICC=0.88 (usual gait speed). MDC was 2.08 s for TUG, 4.52 s for RCS and ranged from 19.49 to 34.73 cm/s for walking speed tests. There was no evidence for lower reliability of gait parameters with increasing time between assessments. Conclusions Reliability varied for each test when measurements are obtained over 1–4 months with most variation due to rater effects. Usual and motor dual task gait speed demonstrated highest reliability.
Quantitative Analysis of Terpenic Compounds in Microsamples of Resins by Capillary Liquid Chromatography

A method has been developed for the separation and quantification of terpenic compounds typically used as markers in the chemical characterization of resins based on capillary liquid chromatography coupled to UV detection. The sample treatment, separation and detection conditions have been optimized in order to analyze compounds of different polarities and volatilities in a single chromatographic run. The monoterpene limonene and the triterpenes lupeol, lupenone, β-amyrin, and α-amyrin have been selected as model compounds. The proposed method provides linear responses and precision (expressed as relative standard deviations) of 0.6% to 17%, within the 0.5–10.0 µg mL−1 concentration interval; the limits of detection (LODs) and quantification (LOQs) were 0.1–0.25 µg mL−1 and 0.4–0.8 µg mL−1, respectively. The method has been applied to the quantification of the target compounds in microsamples. The reliability of the proposed conditions has been tested by analyzing three resins, white copal, copal in tears, and ocote tree resin. Percentages of the triterpenes in the range 0.010% to 0.16% were measured using sample amounts of 10–15 mg, whereas the most abundant compound limonene (≥0.93%) could be determined using 1 mg portions of the resins. The proposed method can be considered complementary to existing protocols aimed at establishing the chemical fingerprint of these kinds of samples.
Classification of Motor Functions from Electroencephalogram (EEG) Signals Based on an Integrated Method Comprised of Common Spatial Pattern and Wavelet Transform Framework

In this work, an algorithm for the classification of six motor functions from an electroencephalogram (EEG) signal that combines a common spatial pattern (CSP) filter and a continuous wavelet transform (CWT), is investigated. The EEG data comprise six grasp-and-lift events, which are used to investigate the potential of using EEG as input signals with brain computer interface devices for controlling prosthetic devices for upper limb movement. Selected EEG channels are the ones located over the motor cortex, C3, Cz and C4, as well as at the parietal region, P3, Pz and P4. In general, the proposed algorithm includes three main stages, band pass filtering, CSP filtering, and wavelet transform and training on GoogLeNet for feature extraction, feature learning and classification. The band pass filtering is performed to select the EEG signal in the band of 7 Hz to 30 Hz while eliminating artifacts related to eye blink, heartbeat and muscle movement. The CSP filtering is applied on two-class EEG signals that will result in maximizing the power difference between the two-class dataset. Since CSP is mathematically developed for two-class events, the extension to the multiclass paradigm is achieved by using the approach of one class versus all other classes. Subsequently, continuous wavelet transform is used to convert the band pass and CSP filtered signals from selected electrodes to scalograms which are then converted to images in grayscale format. The three scalograms from the motor cortex regions and the parietal region are then combined to form two sets of RGB images. Next, these RGB images become the input to GoogLeNet for classification of the motor EEG signals. The performance of the proposed classification algorithm is evaluated in terms of precision, sensitivity, specificity, accuracy with average values of 94.8%, 93.5%, 94.7%, 94.1%, respectively, and average area under the receiver operating characteristic (ROC) curve equal to 0.985. These results indicate a good performance of the proposed algorithm in classifying grasp-and-lift events from EEG signals.
Use of Meditation and Cognitive Behavioral Therapies for the Treatment of Stress, Depression and Anxiety in Students. A Systematic Review and Meta-Analysis

The prevalence of mental health problems within students due to high academic demands and learning difficulties is a current challenge the field of education. The aim of this study is to review the scientific literature in order to analyze the effect produced by cognitive-behavioral programs and meditation strategies on stress, anxiety, and depression in students. A further aim is to identify the determinants of treatment success. The bibliographic search was carried out using Web of Science, specifically in the categories of “Education and Educational Research” and “Psychology”, obtaining a sample of 122 articles published between 2007 and 2018. Studies were included which had a pre-experimental or quasi-experimental design and included pre-test and post-test phases. Following application of inclusion criteria, 34 articles were selected for inclusion in a meta-analysis of the random effects of each variable. This obtained an average effect size of −0.41 for stress, −0.37 for anxiety, and −0.30 for depression. Three moderating variables were analyzed, with significant correlations being found for the type of treatment relating to stress (Q = 11.01, df = 2, p = 0.004, R2 = 0.294) and depression (Q = 6.14, df = 2, p = 0.048; R2 = 0.436). The stage of education of the individuals was also found to impact upon anxiety intervention success (Q = 13.093 df = 2, p = 0.0009, R2 = 0.196). Interventions mainly addressed the importance of meditation strategies, mindfulness programs, and cognitive-behavioral therapy to reduce stress, anxiety, and depression in students. This supports the need to increase research at an early age, considering the treatment of mental health as a key factor influencing academic performance and quality of life.
The Biological Activity of Natural Alkaloids against Herbivores, Cancerous Cells and Pathogens

The growing incidence of microorganisms that resist antimicrobials is a constant concern for the scientific community, while the development of new antimicrobials from new chemical entities has become more and more expensive, time-consuming, and exacerbated by emerging drug-resistant strains. In this regard, many scientists are conducting research on plants aiming to discover possible antimicrobial compounds. The secondary metabolites contained in plants are a source of chemical entities having pharmacological activities and intended to be used for the treatment of different diseases. These chemical entities have the potential to be used as an effective antioxidant, antimutagenic, anticarcinogenic and antimicrobial agents. Among these pharmacologically active entities are the alkaloids which are classified into a number of classes, including pyrrolizidines, pyrrolidines, quinolizidines, indoles, tropanes, piperidines, purines, imidazoles, and isoquinolines. Alkaloids that have antioxidant properties are capable of preventing a variety of degenerative diseases through capturing free radicals, or through binding to catalysts involved indifferent oxidation processes occurring within the human body. Furthermore, these entities are capable of inhibiting the activity of bacteria, fungi, protozoan and etc. The unique properties of these secondary metabolites are the main reason for their utilization by the pharmaceutical companies for the treatment of different diseases. Generally, these alkaloids are extracted from plants, animals and fungi. Penicillin is the most famous natural drug discovery deriving from fungus. Similarly, marines have been used as a source for thousands of bioactive marine natural products. In this review, we cover the medical use of natural alkaloids isolated from a variety of plants and utilized by humans as antibacterial, antiviral, antifungal and anticancer agents. An example for such alkaloids is berberine, an isoquinoline alkaloid, found in roots and stem-bark of Berberis asculin P. Renault plant and used to kill a variety of microorganisms.
Assessment of autochthonous aquatic macrophytes with phytoremediation potential for dairy wastewater treatment in floating constructed wetlands

Abstract The phytoremediation potential of autochthonous aquatic plants has been increasingly explored. This study investigated the use of macrophytes found in natural ecosystems in the southern coast of the state of Bahia, Brazil, for treatment of dairy wastewater (DWW) using experimental systems of the floating constructed wetland type. Four species of aquatic macrophytes have been tested using floating platforms made from PET bottles. The chemical oxygen demand (COD), biochemical oxygen demand (BOD), total solids (TS), pH, and temperature of DWW were analyzed for 15 days. On the fifth day, a 74.8% (±7.7) decrease of BOD was achieved. Eichhornia crassipes (86.4%) and Eichhornia paniculata (84.8%) showed the best results, while Polygonum ferrugineum and Borreria scabiosoides achieved the removal of 65% and 74.2% of BOD, respectively. Considering the TS reduction in the DWW diluted with rainwater, the best results were obtained by Eichhornia crassipes (64.3%) and Eichhornia paniculata (65.18%). The macrophytes of the Eichhornia genus showed a greater potential for the treatment of DWW than the macrophytes Polygonum ferrugineum and Borreria scabiosoides, with a hydraulic retention time varying between four and five days.
Highly immunosuppressive HLADRhi regulatory T cells are associated with unfavorable outcomes in cervical squamous cell carcinoma

Regulatory T cells (Tregs) are crucial for the maintenance of peripheral tolerance, but they also limit beneficial responses through cancer‐induced immunoediting. The roles of Treg subsets in cervical squamous cell carcinoma (CSCC) are currently unknown. Here, we aimed to perform an extensive study with an increased resolution of the Treg compartment in the peripheral blood and tumor tissues of CSCC patients. We first identified that an HLADRhi Treg population in the peripheral blood was significantly increased in CSCC patients compared to precancer patients and healthy donors. We found that HLADRhi Tregs express high levels of a panel of inhibition and activation markers and the TCR‐responsive transcription factors BATF and IRF4. However, this Treg subset showed reduced calcium influx after TCR crosslinking. In addition, HLADRhi Tregs are highly proliferative and vulnerable to apoptosis. Further studies demonstrated that the HLADRhi Tregs display high levels of suppressive activity. Quantitative multiplexed immunohistochemistry revealed that an increase in the number of tumor‐infiltrating HLADRhi Tregs is associated with unfavorable classical risk parameters of advanced disease stage and stromal invasion. Context‐based quantification revealed that a high frequency of stromal HLADRhi Tregs in patients is significantly associated with worse progression‐free survival. In the current study, we characterized a population of highly activated and immunosuppressive HLADRhi Tregs in CSCC patients. An increased HLADRhi Treg frequency may be a potential biomarker to stratify CSCC patients and evaluate therapeutic efficacies in personalized immuno‐oncology studies.
Compliance of commercial motorcyclists with road safety measures in a Nigerian metropolitan city

Abstract Objectives: Motorcycle crashes are the second most common cause of road traffic injuries in Nigeria, which can be prevented through compliance with road safety measures. Compliance is defined as a state of being in accordance with established guidelines or legislations. There is a dearth of information on compliance with these measures by motorcyclists in Ibadan. Commercial motorcyclists often ignore safety measures, making them prone to accidents with other road users. This study therefore assessed the knowledge and reported compliance of commercial motorcyclists in Ibadan North Local Government Area with road safety measures as well as the factors influencing compliance. Data and methods: A cross-sectional study was carried out among motorcyclists in all 5 motorcycle parks in the city of Ibadan. Participants were selected through a simple random sampling technique after a proportional allocation to the size of the motorcyclists in the parks was concluded. A total of 439 motorcyclists were interviewed. A pretested, semistructured, interviewer-administered questionnaire was used to collect information on sociodemographic characteristics, knowledge, reported compliance, and attitudes toward road safety measures (Nigeria Highway Code). A total of 34 items on traffic rules and regulations were used to assess compliance. Chi-square test and logistic regression were used for analysis at a 5% level of significance. Result: Respondents were aged 34.4 ± 7.8 years. All respondents were male and 15.2% had a tertiary education in a university or institution of higher learning. About 20.0% had no proper formal or informal training as motorcyclists. Ninety-four respondents (21.6%) self-reported ever being involved in a motorcycle crash, of which 32 (34.0%) occurred 6 months preceding the study. About half of respondents (51.9%) had good knowledge of road safety measures. About 50.6% of the respondents were compliant with road safety measures. Only 54.4% of respondents who had ever been involved in a motorcycle crash were wearing a crash helmet at the time of the crash. However, 71.8% of respondents had a crash helmet with them during the study. About 73.6% owned the motorcycles they rode. About two thirds (60.4%) of motorcycle owners were significantly more compliant compared to 23.3% of those who were not owners. Respondents who were motorcycle owners were almost 4 times more likely to be compliant with road safety measures than those who were not owners (odds ratio [OR] = 4.0; confidence interval [CI], 2.0–7). Conclusion: Commercial motorcycle ownership and training contributed to knowledge and compliance with road safety measures and consequently low reporting of motorcycle crash. There is therefore the need to encourage ownership, conduct training, and create stringent laws to guide road safety.
Human iPSC differentiation to retinal organoids in response to IGF1 and BMP4 activation is line‐ and method‐dependent

Induced pluripotent stem cell (iPSC)‐derived retinal organoids provide a platform to study human retinogenesis, disease modeling, and compound screening. Although retinal organoids may represent tissue structures with greater physiological relevance to the in vivo human retina, their generation is not without limitations. Various protocols have been developed to enable development of organoids with all major retinal cell types; however, variability across iPSC lines is often reported. Modulating signaling pathways important for eye formation, such as those involving bone morphogenetic protein 4 (BMP4) and insulin‐like growth factor 1 (IGF1), is a common approach used for the generation of retinal tissue in vitro. We used three human iPSC lines to generate retinal organoids by activating either BMP4 or IGF1 signaling and assessed differentiation efficiency by monitoring morphological changes, gene and protein expression, and function. Our results showed that the ability of iPSC to give rise to retinal organoids in response to IGF1 and BMP4 activation was line‐ and method‐dependent. This demonstrates that careful consideration is needed when choosing a differentiation approach, which would also depend on overall project aims.
The mechanism of inhibitory control on the development of theory of mind in old age—based on the two-component model of psychological theory

Abstract Objective Based on the two-component model of theory of mind, the current study explored the cognitive and emotional theory of mind of the elderly by using false-belief pictures and eye-reading tasks respectively, and examined effects of inhibitory control on elderly adults’ cognitive and emotional theory of mind. Method One-hundred twelve elderly participants were randomly recruited, and the control task, cognitive theory of mind, emotional theory of mind and the Stroop task were used. Results The results showed the following: (1) Elderly adults’ theory of mind decreased compared with that of young people; specifically, cognitive theory of mind showed an aging trend (aged above 75 years), while emotional theory of mind developed at a relatively gentle speed during old age; (2) Compared with young people, the inhibitory control of the elderly gently declined among those aged above 75 years; (3) Inhibitory control partially mediated the relationship between age and cognitive theory of mind. Conclusion The cognitive and emotional components of theory of mind in the elderly were distinct. It was difficult for the elderly to complete psychological tasks related to social cognition that required high inhibitory control; however, they could complete psychological tasks that did not require high inhibitory control.
Relationship between Religious Support and Major Depressive Episode for Adult Non-Medical Prescription Opioid Users and Non-Users

Abstract Background: Non-medical prescription opioid use (NMPOU) is linked with poor mental health outcomes. Previous research has shown that religious support is protective for mental health. Objectives: To fill the gap in knowledge about how to assist NMPOU users decrease or prevent depression symptoms by incorporating religious support and to identify whether the suppressor model or the health effects model reflects the relationship between religious support and major depressive episode (MDE) for NMPOU users. Methods: Data from the 2016 National Survey on Drug Use and Health were analyzed for 42,625 adults aged 18 years and older. Weighted binary logistic regression analyses were conducted using STATA 15 to examine the odds of NMPOU and religious support on MDE, all within the past year. Results: NMPOU was associated with increased odds of having a past-year MDE (OR = 2.99, 95% CI: 2.47, 3.62). Two significant associations were found among non-users: (a) between MDE and the importance of one’s religious beliefs (OR = 0.78, 95% CI: 0.64, 0.94) and (b) between MDE and sharing one’s religious beliefs with friends (OR = 0.66, 95% CI: 0.56, 0.78). However, the association of religious support and MDE among NMPOU users was not statistically observed. Conclusions: Religious support from friends and believing religious beliefs are essential in life appeared to be protective factors against MDE among non-users. Further research is needed to explore protective factors that can effectively address the association between opioid misuse and mental health and be incorporated into health interventions targeting the opioid epidemic.
Dynamic Axis-Tuned Cells in the Monkey Lateral Prefrontal Cortex during a Path-Planning Task

The lateral prefrontal cortex (lPFC) plays a crucial role in the cognitive processes known as executive functions, which are necessary for the planning of goal-directed behavior in complex and constantly changing environments. To adapt to such environments, the lPFC must use its neuronal resources in a flexible manner. The lateral prefrontal cortex (lPFC) plays a crucial role in the cognitive processes known as executive functions, which are necessary for the planning of goal-directed behavior in complex and constantly changing environments. To adapt to such environments, the lPFC must use its neuronal resources in a flexible manner. To investigate the mechanism by which lPFC neurons code directional information flexibly, the present study explored the tuning properties and time development of lPFC neurons in male Japanese monkeys during a path-planning task, which required them to move a cursor to a final goal in a stepwise manner within a checkerboard-like maze. We identified “axis-tuned” cells that preferred two opposing directions of immediate goals (i.e., vertical and horizontal directions). Among them, a considerable number of these axis-tuned cells dynamically transformed from vector tuning to a single final-goal direction. We also found that the activities of axis-tuned cells, especially pyramidal neurons, were also modulated by the abstract sequence patterns that the animals were to execute. These findings suggest that the axis-tuned cells change what they code (the type of behavioral goal) as well as how they code (their tuning shapes) so that the lPFC can represent a large number of possible actions or sequences with limited neuronal resources. The dynamic axis-tuned cells must reflect the flexible coding of behaviorally relevant information at the single neuron level by the lPFC to adapt to uncertain environments. SIGNIFICANCE STATEMENT The lateral PFC (lPFC) plays a crucial role in the planning of goal-directed behavior in uncertain environments. To adapt to such situations, the lPFC must flexibly encode behaviorally relevant information. Here, we investigated the goal-tuning properties of neuronal firing in the monkey lPFC during a path-planning task. We identified axis-tuned cells that preferred “up-down” or “left-right” immediate goals, and found that many were dynamically transformed from vector tuning to a final-goal direction. The activities of neurons, especially pyramidal neurons, were also modulated by the abstract sequence patterns. Our findings suggest that PFC neurons can alter not only what they code (behavioral goal) but also how they code (tuning shape) when coping with unpredictable environments with limited neuronal resources.