Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality

Background With continued increases in smartphone ownership, researchers and clinicians are investigating the use of this technology to enhance the management of chronic illnesses such as bipolar disorder (BD). Smartphones can be used to deliver interventions and psychoeducation, supplement treatment, and enhance therapeutic reach in BD, as apps are cost-effective, accessible, anonymous, and convenient. While the evidence-based development of BD apps is in its infancy, there has been an explosion of publicly available apps. However, the opportunity for mHealth to assist in the self-management of BD is only feasible if apps are of appropriate quality. Objective Our aim was to identify the types of apps currently available for BD in the Google Play and iOS stores and to assess their features and the quality of their content. Methods A systematic review framework was applied to the search, screening, and assessment of apps. We searched the Australian Google Play and iOS stores for English-language apps developed for people with BD. The comprehensiveness and quality of information was assessed against core psychoeducation principles and current BD treatment guidelines. Management tools were evaluated with reference to the best-practice resources for the specific area. General app features, and privacy and security were also assessed. Results Of the 571 apps identified, 82 were included in the review. Of these, 32 apps provided information and the remaining 50 were management tools including screening and assessment (n=10), symptom monitoring (n=35), community support (n=4), and treatment (n=1). Not even a quarter of apps (18/82, 22%) addressed privacy and security by providing a privacy policy. Overall, apps providing information covered a third (4/11, 36%) of the core psychoeducation principles and even fewer (2/13, 15%) best-practice guidelines. Only a third (10/32, 31%) cited their information source. Neither comprehensiveness of psychoeducation information (r=-.11, P=.80) nor adherence to best-practice guidelines (r=-.02, P=.96) were significantly correlated with average user ratings. Symptom monitoring apps generally failed to monitor critical information such as medication (20/35, 57%) and sleep (18/35, 51%), and the majority of self-assessment apps did not use validated screening measures (6/10, 60%). Conclusions In general, the content of currently available apps for BD is not in line with practice guidelines or established self-management principles. Apps also fail to provide important information to help users assess their quality, with most lacking source citation and a privacy policy. Therefore, both consumers and clinicians should exercise caution with app selection. While mHealth offers great opportunities for the development of quality evidence-based mobile interventions, new frameworks for mobile mental health research are needed to ensure the timely availability of evidence-based apps to the public.
Computerized Cognitive Behavior Therapy for Anxiety and Depression in Rural Areas: A Systematic Review

Background People living in rural and remote communities have greater difficulty accessing mental health services and evidence-based therapies, such as cognitive behavior therapy (CBT), than their urban counterparts. Computerized CBT (CCBT) can be used to effectively treat depression and anxiety and may be particularly useful in rural settings where there are a lack of suitably trained practitioners. Objective To systematically review the global evidence regarding the clinical effectiveness and acceptability of CCBT interventions for anxiety and/or depression for people living in rural and remote locations. Methods We searched seven online databases: Medline, Embase Classic and Embase, PsycINFO, CINAHL, Web of Science, Scopus, and the Cochrane Library. We also hand searched reference lists, Internet search engines, and trial protocols. Two stages of selection were undertaken. In the first, the three authors screened citations. Studies were retained if they reported the efficacy, effectiveness or acceptability of CCBT for depression and/or anxiety disorders, were peer reviewed, and written in English. The qualitative data analysis software, NVivo 10, was then used to run automated text searches for the word “rural,” its synonyms, and stemmed words. All studies identified were read in full and were included in the study if they measured or meaningfully discussed the efficacy or acceptability of CCBT among rural participants. Results A total of 2594 studies were identified, of which 11 met the selection criteria and were included in the review. The studies that disaggregated efficacy data by location of participant reported that CCBT was equally effective for rural and urban participants. Rural location was found to both positively and negatively predict adherence across studies. CCBT may be more acceptable among rural than urban participants—studies to date showed that rural participants were less likely to want more face-to-face contact with a practitioner and found that computerized delivery addressed confidentiality concerns. Conclusions CCBT can be effective for addressing depression and anxiety and is acceptable among rural participants. Further work is required to confirm these results across a wider range of countries, and to determine the most feasible model of CCBT delivery, in partnership with people who live and work in rural and remote communities.
Genetic variability studies in okra [ Abelmoschus esculentus (L.) Moench] for yield and yield contributing traits

An experiment was undertaken at experimental field, Department of Vegetable Science, College of Horticulture, Bagalkot with the aim to study the genetic variability among forty-eight genotypes of okra. The experiment was laid out in randomized complete block design (RCBD) with two replications during late-rabi season 2019. The analysis of variance revealed that the genotypes differed significantly (p=0.05) for all the parameters studied. High values of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV), and high estimates of heritability coupled with greater genetic advance were recorded for the traits like number of leaves per plant at 60 and 90 DAS, number of branches per plant at 60 and 90 DAS, pod diameter, average pod weight, total yield per plant, total yield per plot and total yield per hectare, indicating the existence of wider genetic variability for these traits in the germplasm under study. There is an ample scope for improving these traits through direct selection on the basis of phenotypic characters which will lead to high pod yield in okra.
Identification of flavone and flavanone from ethyl acetate fraction of Caesalpinia sappan heartwood and tentative structure-activity relationship: An in vitro and in silico approach

Caesalpinia sappan , commonly known as secang in Indonesia, has been used in traditional medicine to treat inflammation, microbial infection, diabetes, and cancer. In this study, the chromatographic separation of the ethyl acetate fraction of C. sappan was carried out. It resulted in the isolation of 2′,5,6-trimethoxyflavone (TM) and cirsimaritin (CR), pinostrobin (PN), naringenin-5-methyl ether (NR), and alpinone (AL). All the compounds were elucidated and confirmed by LC-QToF-MS/MS. The in vitro antioxidant activity carried out by the 2,2-diphenyl-1-picrylhydrazyl method showed that all the compounds have potency as antioxidants. The tendency of antioxidative strength calculated from the ease of hydrogen transfer by density functional theory showed the activity order as follows: NR > PN > AL for subgroups of flavanone and CR > TM for subgroups of flavone, which have the same order as the in vitro result. In silico structure-activity relationships for the binding compounds to cytochrome P450 (CP450), lipoxygenase (LO), NADPH oxidase (NO), and xanthine oxidase (XO) were analyzed using the molecular docking and molecular dynamics techniques. The result revealed that the hydroxyl group of NR at the C-7 and C-4′ positions is crucial to interact with Val113 and Asn217 in the CP450. Furthermore, the absence of the hydroxyl group at the C-3 position of PN shows better binding energy (ΔG = −4.05 kcal/mol) compared to AL (ΔG = −1.7 kcal/mol) in the LO. Double bonds at the C-2 and C-3 positions maintain the interaction with Asp179 of the NO receptor. For the XO receptor, two methoxy groups at the C-6 and C-5 positions (TM) are important to interact with a key residue like Arg880. Taken together, the result suggests that the flavone and flavanone derivatives from C. sappan have a potent antioxidant activity that could be useful in combating oxidative stress in the human body.
Scholars Commons @ Laurier Scholars Commons @ Laurier

The study investigates adolescents' self-attributed moral emotions following a moral transgression by expanding research with children on the happy-victimizer phenomenon. In a sample of 200 German adolescents from Grades 7, 9, 11, and 13 ( M = 16.18 years, SD = 2.41), participants were confronted with various scenarios describing different moral rule violations and asked to judge the behavior from a moral point of view. Subsequently, participants' strength of self-evaluative emotional reactions was assessed as they were asked to imagine that they had committed the moral transgression by themselves. Results indicate that the intensity of self-attributed moral emotions predicted adolescents' self-reported delinquent behavior even when social desirability response bias was controlled. Further, as adolescents' metacognitive understanding of moral beliefs developed, self-attributed moral emotions and confidence in moral judgment became more closely associated. No general age-related change in adolescents' self-attributed moral emotions was found. Overall, the study provides evidence for a coordination process of moral judgment and moral emotion attributions that continues well beyond childhood and that corresponds with the more general notion of the formation of a moral self in adolescence.
Integrative Physiology: Update to the Grand Challenge 2020

After a decade has elapsed since I wrote the grand challenge for integrative physiology in 2010, it is fitting to not only reflect on how well we have progressed in this journey but also to consider the future challenges and opportunities that arise. It is also of interest to see how various physiology journals have been fairing in terms of impact factors and published articles. From a sample of eight prestigious physiology journals, it appears that the field of physiology itself has remained strong with no change or trend in average impact factor over this time (Figure 1). From a sample of 8 prominent physiology journals, the median impact factor of 4.5 in 2010 has increased to 5.4 some 9 years later and the average number of articles per journal has doubled from 182 to 373 (Figure 1). The standout improvers are Frontiers in Physiology that increased the number of published articles from 59 in 2010 to 1984 in 9 years and also Acta Physiologica that improved its impact factor nearly 2-fold from 3.1 in 2010 and to 5.9 in 2018. Interestingly, open access and general science journal PLOS ONE has declined in impact from 4.4 to 2.8 while increasing articles from 7000 to 18000. Journal of Neuroscience impact factor has also declined slightly from 7.2 to 6.0 as has the number of articles dropped from 1,700 to 800 in the same 9-year period. While these are anecdotal examples from other fields and limited evaluation in terms of quality and quantity, they do suggest that physiology at large has been doing quite well as a field over the last 10 years at least maintaining and, in some cases, improving.
BJRD15196 1..7

1,2PING ZHANG, PhD, 3KAI HU YU, MM, 1RUI MIN GUO, MM, 1JUN RAN, MM, 1YAO LIU, MM, 4JOHN MORELLI, PhD, 5VAL A RUNGE, PhD and 1XIAO MING LI, PhD Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Department of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China Department of Radiology, Xianning Central Hospital, Hubei University of Science and Technology, Xianning, China Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA Institute for Diagnostic and Interventional Radiology, Clinics for Neuroradiology and Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
The dependence of turbulent dissipation on stratification in a diffusively stable thermocline

To relate the viscous dissipation rate ϵ in the thermocline to internal waves, we operated the multiscale profiler (MSP) in the eastern North Pacific. The location is well removed from fronts and strong currents, and below 0.6 MPa the water column is diffusively stable. Hence internal wave breakdown is the only known source of turbulence. We found that shear levels were in close agreement with the Garrett and Munk model of internal waves and that dissipation rates were low, . This is the first report of > (previous observations indicated ) and agrees with predictions by McComas and Muller (1981a) and by Henyey et al. (1986), both based on calculations of energy transfer within the internal wave spectrum.
Optymalna tektura falista – czyli jaka? Optimal corrugated board – what does it mean?

very high compressive strength and bending stiffness in both directions. The load-bearing capacity of the corrugated board depends to a large extent on the selection (for its individual layers) of appropriate papers, which are produced with different contents of primary cellulose fibers and recycled secondary fibers, which directly affects their mechanical properties, especially in the micro scale. The strength of the corrugated board is also influenced by the shape of the corrugated layer itself, which can assume various forms of typical periodic functions, differing in both the period and the amplitude of the waves. As we add to all the above-mentioned factors influencing the load-bearing capacity of the corrugated board, the possibility of assembling its cross-section from many corrugated layers (each in a different geometric configuration), ultimately we get a practically unlimited space of its possible assemblies. This article attempts to find an answer to the question whether it is possible to select the optimal cardboard in an infinite set of solutions based on its mechanical features and technological limitations
The mediating roles of workplace support and ethical work environment in associations between leadership and moral distress: a longitudinal study of Canadian health care workers during the COVID-19 pandemic

Introduction The COVID-19 pandemic has resulted in heightened moral distress among health care workers (HCWs) worldwide. Past research has shown that effective leadership may mitigate potential for the development of moral distress. However, no research to date has considered the mechanisms by which leadership might have an influence on moral distress. We sought to evaluate longitudinally whether Canadian HCWs’ perceptions of workplace support and ethical work environment would mediate associations between leadership and moral distress. Methods A total of 239 French- and English-speaking Canadian HCWs employed during the COVID-19 pandemic were recruited to participate in a longitudinal online survey. Participants completed measures of organizational and supervisory leadership at baseline and follow-up assessments of workplace support, perceptions of an ethical work environment, and moral distress. Results Associations between both organizational and supervisory leadership and moral distress were fully mediated by workplace supports and perceptions of an ethical work environment. Discussion To ensure HCW well-being and quality of care, it is important to ensure that HCWs are provided with adequate workplace supports, including manageable work hours, social support, and recognition for efforts, as well as an ethical workplace environment.
Corporate credit growth determinants in Ukraine: bank lending survey data application

This study investigates the determinants of corporate lending in Ukraine with a focus on distinguishing between supply and demand factors. I use a two-step process to build a credit standards index (CSI) based on disaggregated data from the Ukrainian bank lending survey (BLS). This paper describes factors that are significant for corporate lending development in Ukraine. It contributes to the existing literature by developing a measure of corporate loan supply and analyzing its ability to explain corporate credit growth in Ukraine by using bank-level BLS data. First, I employ a panel ordered logit model to transform categorical data into a continuous index that measures the likelihood of credit standards tightening. Second, I examine how this index affects new corporate lending in both national and foreign currencies. I find that the credit standard index is influenced by exchange rate movements (with depreciations leading to tighter standards), bank liquidity, and bank competition. I also demonstrate that the CSI has a negative impact on corporate loans in national currency, with a more pronounced effect for smaller banks
A Machine Learning Augmented Data Assimilation Method for High‐Resolution Observations

The accuracy of initial conditions is an important driver of the forecast skill of numerical weather prediction models. Increases in the quantity of available measurements, particularly high‐resolution remote sensing observational data products from satellites, are valuable inputs for improving those initial condition estimates. However, the traditional data assimilation methods for integrating observations into forecast models are computationally expensive. This makes incorporating dense observations into operational forecast systems challenging, and it is often prohibitively time‐consuming. Additionally, high‐resolution observations often have correlated observation errors which are difficult to estimate and create problems for assimilation systems. As a result, large quantities of data are discarded and not used for state initialization. Using the Lorenz‐96 system for testing, we demonstrate that a simple machine learning method can be trained to assimilate high‐resolution data. Using it to do so improves both initial conditions and forecast accuracy. Compared to using the Ensemble Kalman Filter with high‐resolution observations ignored, our augmented method has an average root‐mean‐squared error reduced by 37%. Ensemble forecasts using initial conditions generated by the augmented method are more accurate and reliable at up to 10 days of forecast lead time.
Exploring The Moderating Effect of Spiritual Resilience on The Relationship between Psychological Resilience and Mental Health

In recent years, the literature has increasingly emphasized potential factors contributing to resilience, with a particular focus on components related to spirituality and their interconnectedness with mental health. However, research findings regarding the role of spirituality have proven to be complex. This cross-sectional study explored whether spiritual resilience moderates the connection between psychological resilience and mental health. The study sample, consisting of 280 adults (81.1% female, 18.9% male) aged 18-65 years (M= 25.19; SD= 7.87) living in Turkey, completed a questionnaire that included a socio-demographic form, the Spiritual Resilience Scale, the Connor-Davidson Psychological Resilience Scale (short-form), and the General Health Questionnaire (GHQ-12). The results of the t-test analysis indicated that individuals who placed a high level of importance on religious beliefs exhibited high scores in spiritual resilience (p< .05). The correlation analysis results indicated positive correlations in the expected direction between psychological resilience and spiritual resilience. In contrast, psychological and spiritual resilience negatively correlated with general health. The findings from the moderator analysis indicated that spiritual resilience has a moderating role in the relationship between psychological resilience and general health. Consequently, enhancing spiritual resilience is crucial in the interplay between psychological resilience and mental health.
(2021). Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach. PLoS Computational Biology

Links between affective states and risk-taking are often characterised using summary statistics from serial decision-making tasks. However, our understanding of these links, and the utility of decision-making as a marker of affect, needs to accommodate the fact that ongoing (e.g., within-task) experience of rewarding and punishing decision outcomes may alter future decisions and affective states. To date, the interplay between affect, ongoing reward and punisher experience, and decision-making has received little detailed investigation. Here, we examined the relationships between reward and loss experience, affect, and decision-making in humans using a novel judgement bias task analysed with a novel computational model. We demonstrated the influence of within-task favourability on decision-making, with more risk-averse/‘pessimistic’ decisions following more positive previous outcomes and a greater current average earning rate. Additionally, individuals reporting more negative affect tended to exhibit greater risk-seeking decision-making, and, based on our model, estimated time more poorly. We also found that individuals reported more positive affective valence during periods of the task when prediction errors and offered decision outcomes were more positive. Our results thus provide new evidence that (short-term) within-task rewarding and punishing experiences determine both future decision-making and sub-jectively experienced affective states.
Intense summer Si‐recycling in the surface Southern Ocean

Si‐cycle in surface waters was investigated in summer 2003 during a transect conducted from south‐Australia to Antarctica. Diatoms dominated the microphytoplankton. Silicic acid was depleted up to 60°S; a subsurface maximum of biogenic silica (= biosilica) was observed in the Permanent Open Ocean Zone. In the 100–0.01% light zone, the ratio of depth‐integrated biosilica dissolution rate (D) to depth‐integrated biosilica production rate (P) ranged between 0 to 3.1, being >1 for 5 of our 6 stations. The biosilica dissolution was related to the percentage of dead diatoms but not to the temperature and might be, at least partially, under bacteria mediation. This study shows that during summer the Southern Ocean silicate pump can be much less efficient than usually expected. Existence of scenarios with intense surface Si‐recycling in the Southern Ocean has major consequences both for modelers and paleoceanographers.
Research Journal of Pharmaceutical, Biological and Chemical Sciences An Efficient Image Recognizing and Data Retrieval Technique for Medical Image Database using Principle Component Analysis

Medical imaging technology has revolutionized health care over the past 30 years,allowing doctors to find disease earlier and improve patient outcomes. Diagnosing and treatment using medical imagesalong with the internet technologyis gaining broader scopes, so there is a need for an image storage and data retrieval technique that can fetch related data of the image. This type of technique provides great assistance for doctors in the field of medical research. This paper presents a content based retrieval technique for medicalimage using Principle component analysis (PCA) The efficient retrieval technique evaluated on functional magnetic resonance(fMRI)images.With various fMRI images the proposed method effectiveness is evaluated.