Reproducible research and open science practices have the potential to accelerate scientific progress by allowing others to reuse research outputs, and by promoting rigorous research that is more likely to yield trustworthy results. However, these practices are uncommon in many fields, so there is a clear need for training that helps and encourages researchers to integrate reproducible research and open science practices into their daily work. Here, we outline eleven strategies for making training in these practices the norm at research institutions. The strategies, which emerged from a virtual brainstorming event organized in collaboration with the German Reproducibility Network, are concentrated in three areas: (i) adapting research assessment criteria and program requirements; (ii) training; (iii) building communities. We provide a brief overview of each strategy, offer tips for implementation, and provide links to resources. We also highlight the importance of allocating resources and monitoring impact. Our goal is to encourage researchers - in their roles as scientists, supervisors, mentors, instructors, and members of curriculum, hiring or evaluation committees - to think creatively about the many ways they can promote reproducible research and open science practices in their institutions.
Mentors , Physicians , Humans , Reproducibility of Results , Personnel Selection , Research Personnel
BACKGROUND: In recent years, advances in technology have led to an influx of mental health apps, in particular the development of mental health and well-being chatbots, which have already shown promise in terms of their efficacy, availability, and accessibility. The ChatPal chatbot was developed to promote positive mental well-being among citizens living in rural areas. ChatPal is a multilingual chatbot, available in English, Scottish Gaelic, Swedish, and Finnish, containing psychoeducational content and exercises such as mindfulness and breathing, mood logging, gratitude, and thought diaries. OBJECTIVE: The primary objective of this study is to evaluate a multilingual mental health and well-being chatbot (ChatPal) to establish if it has an effect on mental well-being. Secondary objectives include investigating the characteristics of individuals that showed improvements in well-being along with those with worsening well-being and applying thematic analysis to user feedback. METHODS: A pre-post intervention study was conducted where participants were recruited to use the intervention (ChatPal) for a 12-week period. Recruitment took place across 5 regions: Northern Ireland, Scotland, the Republic of Ireland, Sweden, and Finland. Outcome measures included the Short Warwick-Edinburgh Mental Well-Being Scale, the World Health Organization-Five Well-Being Index, and the Satisfaction with Life Scale, which were evaluated at baseline, midpoint, and end point. Written feedback was collected from participants and subjected to qualitative analysis to identify themes. RESULTS: A total of 348 people were recruited to the study (n=254, 73% female; n=94, 27% male) aged between 18 and 73 (mean 30) years. The well-being scores of participants improved from baseline to midpoint and from baseline to end point; however, improvement in scores was not statistically significant on the Short Warwick-Edinburgh Mental Well-Being Scale (P=.42), the World Health Organization-Five Well-Being Index (P=.52), or the Satisfaction With Life Scale (P=.81). Individuals that had improved well-being scores (n=16) interacted more with the chatbot and were significantly younger compared to those whose well-being declined over the study (P=.03). Three themes were identified from user feedback, including "positive experiences," "mixed or neutral experiences," and "negative experiences." Positive experiences included enjoying exercises provided by the chatbot, while most of the mixed, neutral, or negative experiences mentioned liking the chatbot overall, but there were some barriers, such as technical or performance errors, that needed to be overcome. CONCLUSIONS: Marginal improvements in mental well-being were seen in those who used ChatPal, albeit nonsignificant. We propose that the chatbot could be used along with other service offerings to complement different digital or face-to-face services, although further research should be carried out to confirm the effectiveness of this approach. Nonetheless, this paper highlights the need for blended service offerings in mental health care.
Exercise , Mental Health , Humans , Male , Female , Adolescent , Young Adult , Adult , Middle Aged , Aged , Software , Exercise Therapy , Psychological Well-Being
BACKGROUND: Conversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people's health and well-being (outcomes), there is a need to understand how users really engage and use a digital intervention in the real world. OBJECTIVE: In this study, we examine the user logs of a mental well-being chatbot called ChatPal, which is based on the concept of positive psychology. The aim of this research is to analyze the log data from the chatbot to provide insight into usage patterns, the different types of users using clustering, and associations between the usage of the app's features. METHODS: Log data from ChatPal was analyzed to explore usage. A number of user characteristics including user tenure, unique days, mood logs recorded, conversations accessed, and total number of interactions were used with k-means clustering to identify user archetypes. Association rule mining was used to explore links between conversations. RESULTS: ChatPal log data revealed 579 individuals older than 18 years used the app with most users being female (n=387, 67%). User interactions peaked around breakfast, lunchtime, and early evening. Clustering revealed 3 groups including "abandoning users" (n=473), "sporadic users" (n=93), and "frequent transient users" (n=13). Each cluster had distinct usage characteristics, and the features were significantly different (P<.001) across each group. While all conversations within the chatbot were accessed at least once by users, the "treat yourself like a friend" conversation was the most popular, which was accessed by 29% (n=168) of users. However, only 11.7% (n=68) of users repeated this exercise more than once. Analysis of transitions between conversations revealed strong links between "treat yourself like a friend," "soothing touch," and "thoughts diary" among others. Association rule mining confirmed these 3 conversations as having the strongest linkages and suggested other associations between the co-use of chatbot features. CONCLUSIONS: This study has provided insight into the types of people using the ChatPal chatbot, patterns of use, and associations between the usage of the app's features, which can be used to further develop the app by considering the features most accessed by users.
Mental Health , Mobile Applications , Humans , Female , Male , Psychological Well-Being , Affect , Cluster Analysis
Increasing misinformation spread poses a threat to older adults but there is little research on older adults within the fake news literature. Embedded in the Changes in Integration for Social Decisions in Aging (CISDA) model, this study examined the role of (a) analytical reasoning; (b) affect; (c) news consumption frequency, and their interplay with (d) news content on news veracity detection in aging. Conducted during the early phase of the COVID-19 pandemic, the present study asked participants to view and evaluate COVID or non-COVID (i.e., everyday) news articles, followed by measures of analytical reasoning, affect, and news consumption frequency. News veracity detection was comparable between young and older adults. Additionally, fake news detection for non-COVID news was predicted by individual differences in analytic reasoning for both age groups. However, chronological age effects in fake news detection emerged within the older adult sample and interacted with the CISDA-derived components of analytical reasoning, affect, and news consumption frequency by news content. Collectively, these findings suggest that age-related vulnerabilities to deceptive news are only apparent in very old age. Our findings advance understanding of psychological mechanisms in news veracity detection in aging. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
COVID-19 , Pandemics , Aged , Aging , Communication , Humans , Problem Solving
AIM: Previous research has focused on accuracy associated with real and fake news presented in the form of news headlines only, which does not capture the rich context news is frequently encountered in real life. Additionally, while previous studies on evaluation of real and fake news have mostly focused on characteristics of the evaluator (i.e., analytical reasoning), characteristics of the news stimuli (i.e., news source credibility) and the interplay between the two have been largely ignored. To address these research gaps, this project examined the role of analytical reasoning and news source credibility on evaluation of real and fake full-length news story articles. The project considered both accuracy and perceived credibility ratings as outcome variables, thus qualifying previous work focused solely on news detection accuracy. METHOD: We conducted two independent but parallel studies, with Study 2 as a direct replication of Study 1, employing the same design but in a larger sample (Study 1: N = 292 vs. Study 2: N = 357). In both studies, participants viewed 12 full-length news articles (6 real, 6 fake), followed by prompts to evaluate each article's veracity and credibility. Participants were randomly assigned to view articles with a credible or non-credible source and completed the Cognitive Reflection Test as well as short demographic questions. FINDINGS: Consistent across both studies, higher analytical reasoning was associated with greater fake news accuracy, while analytical reasoning was not associated with real news accuracy. In addition, in both studies, higher analytical reasoning was associated with lower perceived credibility for fake news, while analytical reasoning was not associated with perceived credibility for real news. Furthermore, lower analytical reasoning was associated with greater accuracy for real (but not fake) news from credible compared to non-credible sources, with this effect only detected in Study 2. CONCLUSIONS: The novel results generated in this research are discussed in light of classical vs. naturalistic accounts of decision-making as well as cognitive processes underlying news articles evaluation. The results extend previous findings that analytical reasoning contributes to fake news detection to full-length news articles. Furthermore, news-related cues such as the credibility of the news source systematically affected discrimination ability between real and fake news.
Deception , Problem Solving , Cues , Humans
As an electrically controllable wetting effect, electrowetting on dielectrics (EWOD) is applied in diverse fields including optics, display technology and lab-on-a-chip systems. For the further development of EWOD applications, the reduction of the operation voltage is an essential issue. Recently, a low-voltage EWOD system with a threshold of 2 V was developed. In its sessile drop configuration, an aqueous electrolyte droplet with microliter scaled volume is actuated on an EWOD electrode in oil. The integration of this low-voltage EWOD system into a multiparameter measurement system enables the non-linearity and dynamics of the EWOD system to be online investigated during electrowetting and dewetting. The non-linearity was characterized by the hysteresis in the droplet deformation and that in the thickness variation of an oil layer, which is entrapped between the droplet and the electrode, in the nm range. The dynamics was evaluated with the characteristic time for the droplet deformation upon voltage jumps. This study of electrowetting and dewetting focuses on the conversion efficiency of the electrical energy in the deformation processes.
An electrowetting-on-dielectric (EWOD) electrode was developed that facilitates the use of low alternating voltages (≤5 VAC). This allows online investigation of the frequency dependence of electrowetting by means of impedance spectroscopy. The EWOD electrode is based on a dielectric bilayer consisting of an anodic tantalum pentoxide (Ta2O5) thin film (d = 59.35 nm) with a high relative permittivity (εd = 26.3) and a self-assembled hydrophobic silane monolayer. The frequency dependence of electrowetting was studied using an aqueous µL-sized sessile droplet on the planar EWOD electrode in oil. Experiments using electrochemical impedance spectroscopy and optical imaging indicate the frequency dependence of all three variables in the Young-Lippmann equation: the voltage drop across the dielectric layers, capacitance per unit area, and contact angle under voltage. The electrowetting behavior induced by AC voltages is shown to be well described by the Young-Lippmann equation for AC applications below a frequency threshold. Moreover, the dielectric layers act as a capacitor and the stored electrostatic potential energy is revealed to only partially contribute to the electrowetting.
There are few published studies of attention-deficit/hyperactivity disorder (ADHD) in adult inmates, and even fewer studies that have considered ADHD in adult inmates by gender. The present study examined the prevalence of ADHD, its subtypes, and associated psychological and neuropsychological comorbidity as a function of gender in a sample of 3,962 inmates (3,439 men and 523 women; mean age = 33.6 years, range 17-73) who had completed the 250-item, self-report, Diagnostic and Statistical Manual of Mental Disorders, 4th edition (Text Revision) (DSM-IV-TR)-aligned Coolidge Correctional Inventory (CCI). The overall ADHD prevalence rate found was 10.5%, which is substantially higher than the rate among adults in the general population (2-5%). The female inmate ADHD prevalence rate (15.1%) was higher than the male inmate ADHD rate (9.8%), consistent with some previous studies. The most prevalent ADHD subtype for both genders was the hyperactive-impulsive subtype. The combined and inattentive ADHD subtypes had higher levels of comorbid psychopathology than the hyperactive-impulsive ADHD subtype. As the presence of ADHD and associated gender differentials may impact the success of rehabilitation and educative programs with inmates, the assessment of ADHD and comorbid psychopathology should be a priority in initial inmate screening and evaluation.
Attention Deficit Disorder with Hyperactivity/epidemiology , Prisoners/psychology , Adolescent , Adult , Aged , Attention Deficit Disorder with Hyperactivity/classification , Colorado/epidemiology , Comorbidity , Female , Humans , Male , Mass Screening/methods , Middle Aged , Self Report , Young Adult
During the penalty phase of capital trials, defendants may introduce mitigating evidence that argues for a punishment "less than death." In the past few years, a novel form of mitigating evidence-brain scans made possible by technological advances in neuroscience-has been proffered by defendants to support claims that brain abnormalities reduce their culpability. This exploratory study assessed the impact of neuroscience evidence on mock jurors' sentencing recommendations and impressions of a capital defendant. Using actual case facts, we manipulated diagnostic evidence presented by the defense (psychosis diagnosis; diagnosis and neuropsychological test results; or diagnosis, test results, and neuroimages) and future dangerousness evidence presented by the prosecution (low or high risk). Recommendations for death sentences were affected by the neuropsychological and neuroimaging evidence: defendants deemed at high risk for future dangerousness were less likely to be sentenced to death when jurors had this evidence than when they did not. Neuropsychological and neuroimaging evidence also had mitigating effects on impressions of the defendant. We describe study limitations and pose questions for further research.
Capital Punishment , Criminal Law/methods , Decision Making , Forensic Psychiatry/methods , Homicide , Neuroimaging/psychology , Adolescent , Adult , Dangerous Behavior , Female , Humans , Male , Middle Aged , Risk
The military has used the Emergency Whole Blood Program (EWBP) to treat combat casualties since World War I and it remains important in modern military campaigns. Despite frequent use, military medical providers receive little to no training on EWBP operations. The authors sought to improve the efficiency of the EWBP at a Forward Operating Base in southern Afghanistan during Operation Enduring Freedom 10-11 through the development of a prescreening program. A prescreened donor pool and registry were established by confirming blood type, rapid communicable disease testing, and completion and review of Defense Department (DD) form 572 before an emergency blood drive, during which prescreened donors were moved to the front of the line. Using prescreened donors, the mean time from EWBP activation to blood delivery to the operating room decreased from 43.3 (SD 4.4) to 26.7 minutes (SD 3.1) (p < 0.0004). The EWBP can be conducted more efficiently without compromising patient safety by implementing a robust prescreening program. Other improvements should include education of health care providers and commanders on prescreening and the EWBP. The use of fresh whole blood continues to be an important lifesaving resource in military medicine, and the Department of Defense should allocate resources to provide EWBP training and in-theater prescreening programs.
Blood Transfusion , Military Medicine/organization & administration , Afghan Campaign 2001- , Emergency Medical Services/organization & administration , Humans , United States
The paper discusses the usability of multi-frequency binary waveforms for broadband excitation in fast measurements of impedance spectrum of biological objects. It is shown that up to 70% of the energy of the amplitude spectrum of such two-level binary signals can be concentrated into the selected separate frequencies. The levels of selected frequency components are controllable in tens and hundreds of times. In this way we can underline the most important frequencies enhancing the corresponding amplitudes in the spectrum of excitation signal. As an implementation example, we consider the impedance spectroscopy in micro-fluidic devices for inline measurement of the conductivity of droplets in segmented flow. We use a thin-walled glass capillary with electrodes contacting the outer surface so that the contactless measurement of conductivity of liquid with biologic cells becomes possible.
Dielectric Spectroscopy , Signal Processing, Computer-Assisted , Microfluidics/instrumentation
The purpose of the present study was to report on the psychometric properties of a revised version of a brief inventory designed to screen and assess personality disorders. The short form of the Coolidge Axis II Inventory (SCATI) is a 70-item, self-report, form of the 250-item Coolidge Axis II Inventory (CATI). On a community sample of 588 adults (range=16-88 years), the median internal scale reliability for the 14 personality disorder scales was .66, and the median test-retest reliability (1 week) was .83. Principal components analysis (PCA) revealed a four-component structure, essentially similar to previous PCA studies of the SCATI and CATI. Good convergent validity was obtained between a five-factor model of psychopathology and the 14 SCATI personality disorder scales. Gender differences were obtained on some scales, although the effect sizes were generally small. These preliminary psychometric properties establish that the SCATI has sufficient reliability and validity to warrant further research, particularly in clinical samples.
Personality Disorders/diagnosis , Personality Inventory/standards , Psychometrics/methods , Adolescent , Adult , Aged , Aged, 80 and over , Diagnostic and Statistical Manual of Mental Disorders , Female , Humans , Male , Middle Aged , Psychiatric Status Rating Scales , Reproducibility of Results , Self Report , Sex Characteristics , Young Adult
The present study reports on the preliminary psychometric characteristics of a new personality and neuropsychological, 250-item, self-report measure, the Coolidge Correctional Inventory (CCI), in an archival de-identified sample of 3,962 prison inmates. The median internal reliability for the 33 CCI scales and subscales was alpha = .79 (range: alpha = .49 to .93). A prevalence estimate, based on the polythetic criteria in DSM-IV-TR, of at least one personality disorder was 61% of the entire sample, and the prevalence of ADHD was estimated to be 16%. Drug and alcohol problems were also highly prevalent (60%). These results appear to support the preliminary reliability and validity of the CCI and also reveal a high rate of psychopathology and neuropsychological dysfunction among prison inmates.
Mental Disorders/psychology , Prisoners/psychology , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Mental Disorders/epidemiology , Middle Aged , Neuropsychological Tests , Personality Inventory , Prisons , Psychometrics , Reproducibility of Results , Socioeconomic Factors , Surveys and Questionnaires
The psychometric properties of the Beck Depression Inventory-II (BDI-II) as a self-administered screening tool for depressive symptoms were examined in a sample of community-dwelling older and younger adults. Participants completed the BDI-II, the Center for Epidemiologic Studies Depression Scale, the Coolidge Axis II Inventory, the Perceived Stress Scale, and the Short Psychological Well-Being Scale. Internal reliability of the BDI-II was found to be good among older and younger adults. The average BDI-II depression score did not differ between younger and older adults. Solid evidence for convergent and discriminant validity was demonstrated by correlations between the BDI-II with the other measures. The BDI-II appears to have strong psychometric support as a screening measure for depression among older adults in the general population. Implications for using the BDI-II as an assessment instrument in behaviorally based psychotherapy are discussed.
Depressive Disorder/diagnosis , Geriatric Assessment/statistics & numerical data , Personality Inventory/statistics & numerical data , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Depressive Disorder/psychology , Female , Humans , Male , Mass Screening , Middle Aged , Psychometrics/statistics & numerical data , Quality of Life/psychology , Reproducibility of Results
Adsorption of poly(amido amine) (PAMAM) dendrimers to silicon oxide surfaces was studied as a function of pH, ionic strength, and dendrimer generation. By combining optical reflectometry and atomic force microscopy (AFM), the adsorbed layers can be fully characterized and an unequivocal determination of the adsorbed mass becomes possible. For early stages, the adsorption process is transport limited and of first order with respect to the dendrimer solution concentration. For later stages, the surface saturates and the adsorbed dendrimers form loose but correlated liquidlike surface structures. This correlation is evidenced by a peak in the pair correlation function determined by AFM. The maximum adsorbed amount increases with increasing ionic strength and pH. The increase with the ionic strength is explained by the random sequential adsorption (RSA) model and electrostatic repulsion between the dendrimers. The adsorbing dendrimers interact by the repulsive screened Coulomb potential, whose range decreases with increasing ionic strength and thus leads to increasing adsorbed densities. The pH increase is interpreted as an effect of the substrate and is quantitatively explained by the extended three-body RSA model. This model stipulates the importance of a three-body interaction acting between two adsorbing dendrimers and the charged substrate. The presence of the charged substrate weakens the repulsion between the adsorbing dendrimers and thus leads to higher surface densities. This effect can be interpreted as an additional attractive three-body interaction, which acts in addition to the usual two-body repulsion and originates from the additional screening of the Coulomb repulsion by the counterions accumulating in the diffuse layer.
Attention-deficit/hyperactivity disorder (ADHD) was investigated using the parent-as-respondent, 200-item, Coolidge Personality and Neuropsychology Inventory (CPNI) and a quantitative electroencephalograph (QEEG). Parents of 183 children (mean age = 12.2 years) brought to an outpatient private clinic for behavioral and/or emotional problems completed the CPNI including the 18-item DSM-IV-based ADHD scale and their children were also evaluated by QEEG. The correlation between the CPNI ADHD scale T score and the categorical QEEG parameter (based on the beta-theta power ratio) for the identification of ADHD was r = -0.15. Using a dichotomous ADHD CPNI measure (positive/negative) and the QEEG beta-theta power ratio resulted in an r value of -0.09. The sensitivity of the QEEG ADHD parameter and the CPNI ADHD scale was 50% and the specificity was 36%. The results stand in contrast to those of who found 90% sensitivity and 94% specificity between behavioral measures of ADHD and the QEEG scanning procedure. The lack of correspondence between the two measures is discussed.
Attention Deficit Disorder with Hyperactivity/diagnosis , Attention Deficit Disorder with Hyperactivity/physiopathology , Diagnostic and Statistical Manual of Mental Disorders , Electroencephalography , Parents/psychology , Adolescent , Child , Female , Humans , Male , Outpatients
The adsorption of poly(diallyldimethyl ammonium chloride) (DADMAC) on planar silica substrates was examined as a function of ionic strength and pH. The study was carried out with reflectometry in an impinging-jet cell and complemented by atomic force microscopy (AFM) and ellipsometry investigations. The adsorption process is initially transport limited, whereby the adsorption rate increases somewhat with increasing ionic strength. This effect is caused by a simultaneous decrease of the hydrodynamic radius of the polymer. After a transient period, the adsorption process saturates and leads to an adsorption plateau. The plateau value increases strongly with increasing ionic strength. This increase can be explained by progressive screening of the electrostatic repulsion between the adsorbing polyelectrolyte chains, as can be rationalized by a random sequential adsorption (RSA) model. The adsorbed amount further increases with increasing pH, and this effect is probably caused by the corresponding increase of the surface charge of the silica substrate.
Weakly charged solid substrates can be nano-patterned in liquid-like order with large and well-defined spacing by adsorbing poly(amido amine) (PAMAM) dendrimers; highly charged substrates lead to lower spacing due to electrostatic three-body attractions between the dendrimers and the substrate.
We describe ac electro-osmotic flow of an aqueous electrolyte on application of a traveling-wave electric field. Depending on the frequency of the applied traveling wave, the interaction of the electric double layer charge and the tangential electric field leads to fluid flow in the direction of the traveling wave. We have derived two theoretical models that describe this flow as a function of the amplitude of the applied electric potential, the signal frequency, and the material properties of the system. The first is based on a capacitative model and is limited to frequencies much lower than the double layer relaxation frequency. The second is an analytical solution of the electrokinetic equations and is also valid at higher frequencies. We provide experimental evidence that streaming takes place on application of a traveling wave of potential by tracing the movements of fluorescent latex beads over a spiral electrode structure. Streaming takes place at applied potentials low enough for the method to be easily integrated into lab-on-a-chip devices.
