RoMEO Studies 8: self-archiving: the logic behind the colour-coding used in the Copyright Knowledge Bank

Purpose – The purpose of this research is to show how the self-archiving of journal papers is a major step towards providing open access to research. However, copyright transfer agreements (CTAs) that are signed by an author prior to publication often indicate whether, and in what form, self-archiving is allowed. The SHERPA/RoMEO database enables easy access to publishers' policies in this area and uses a colour-coding scheme to classify publishers according to their self-archiving status. The database is currently being redeveloped and renamed the Copyright Knowledge Bank. However, it will still assign a colour to individual publishers indicating whether pre-prints can be self-archived (yellow), post-prints can be self-archived (blue), both pre-print and post-print can be archived (green) or neither (white). The nature of CTAs means that these decisions are rarely as straightforward as they may seem, and this paper describes the thinking and considerations that were used in assigning these colours in the light of the underlying principles and definitions of open access. Approach – Detailed analysis of a large number of CTAs led to the development of controlled vocabulary of terms which was carefully analysed to determine how these terms equate to the definition and “spirit” of open access. Findings – The paper reports on how conditions outlined by publishers in their CTAs, such as how or where a paper can be self-archived, affect the assignment of a self-archiving colour to the publisher. Value – The colour assignment is widely used by authors and repository administrators in determining whether academic papers can be self-archived. This paper provides a starting-point for further discussion and development of publisher classification in the open access environment

Sleep habits and patterns of college students and their relationship to selected personality characteristics

College is a time of adjustment when many students have a newfound responsibility for many aspects of their lives, including sleep habits and patterns. College students often have sleep schedules that vary greatly, which can result in sleep disturbances. Previous research indicates that college students report significantly more sleep disturbances than the general population. Poor sleep quality has been linked to myriad psychological, physiological, and cognitive difficulties, including mood and anxiety disorders, cardiovascular disease, and poor academic performance. Oftentimes, sleep disturbances can be corrected with basic psychological interventions. Considering the deleterious effects that poor sleep can have on college students, it behooves researchers to identify variables that are related to poor sleep. An area that has not been fully explored in the literature is the relationship between sleep and personality. The purpose of this study was to further clarify this relationship, and identify selected personality characteristics of college students that relate to poor sleep. This relationship was assessed using the Sleep Quality Index, a sleep habits questionnaire, and the Sixteen Personality Factors Questionnaire. Results indicate that a relationship exists between both sleep quality and delayed weekend wake times, and selected personality characteristics. Overall, it was found that people who have poor sleep quality are less emotionally stable, less self-assured, and less observing of rules and regulations. Additionally, they are more skeptical of the motives of others, more oriented to internal processes, have higher trait anxiety, and are less grounded and practical. The results also indicated that those who wake significantly later on the weekends, compared to weekdays, are less emotionally stable and less obedient of rules and regulations. Additionally, they are less practical, tend to daydream, and are more impulsive and reckless. Results indicate only a very weak relationship between sleep length and personality. These findings have implications for those who work with college students that may lead to a decrease in sleep difficulties. Psychologists may be able to use this information to differentiate between sleep hygiene problems and sleep disturbances related to psychological difficulties. Furthermore, psychologists can use this information to identify problem areas related to personality that are affecting both psychological well being and sleep difficulties, and subsequently choose interventions that targets these specific problems

Detecting and predicting spatial and interannual patterns of temperate forest springtime phenology in the eastern U.S.

We performed a diagnostic analysis of AVHRR-NDVI and gridded, temperature data for the deciduous forests of the eastern U.S., calibrating temperature accumulation model with satellite data for 1982–1993. The model predicts interannual variability in onset date based upon year-to-year changes in springtime temperature. RMS error over the period ranges from 6.9 days in the northern portion of the domain to 10.7 days in the south. The analysis revealed a relationship between temperature accumulation and satellite derived onset date (rank correlation = 0.31–0.62). The required temperature accumulation threshold can be expressed as a function of mean temperature (R2 of 0.90) to facilitate predictive analysis of phenological onset, or when remote sensing data are unavailable

Atmospheric Tomography as a Tool for Quantification of CO2 Emissions from Potential Surface Leaks: Signal Processing Workflow for a Low Accuracy Sensor Array

AbstractAtmospheric tomography is a monitoring technique that uses an array of sampling sites and a Bayesian inversion technique to simultaneously solve for the location and magnitude of a gaseous emission. Application of the technique to date has relied on air samples being pumped over short distances to a high precision FTIR Spectrometer, which is impractical at larger scales. We have deployed a network of cheaper, less precise sensors during three recent large scale controlled CO2 release experiments; one at the CO2CRC Ginninderra site, one at the CO2CRC Otway Site and another at the Australian Grains Free Air CO2 Enrichment (AGFACE) facility in Horsham, Victoria. The purpose of these deployments was to assess whether an array of independently powered, less precise, less accurate sensors could collect data of sufficient quality to enable application of the atmospheric tomography technique. With careful data manipulation a signal suitable for an inversion study can be seen. A signal processing workflow based on results obtained from the atmospheric array deployed at the CO2CRC Otway experiment is presented

Three classes of ligands each bind to distinct sites on the orphan G protein-coupled receptor GPR84

Medium chain fatty acids can activate the pro-inflammatory receptor GPR84 but so also can molecules related to 3,3′-diindolylmethane. 3,3′-Diindolylmethane and decanoic acid acted as strong positive allosteric modulators of the function of each other and analysis showed the affinity of 3,3′-diindolylmethane to be at least 100 fold higher. Methyl decanoate was not an agonist at GPR84. This implies a key role in binding for the carboxylic acid of the fatty acid. Via homology modelling we predicted and confirmed an integral role of arginine172, located in the 2nd extracellular loop, in the action of decanoic acid but not of 3,3′-diindolylmethane. Exemplars from a patented series of GPR84 antagonists were able to block agonist actions of both decanoic acid and 3,3′-diindolylmethane at GPR84. However, although a radiolabelled form of a related antagonist, [3H]G9543, was able to bind with high affinity to GPR84, this was not competed for by increasing concentrations of either decanoic acid or 3,3′-diindolylmethane and was not affected adversely by mutation of arginine172. These studies identify three separable ligand binding sites within GPR84 and suggest that if medium chain fatty acids are true endogenous regulators then co-binding with a positive allosteric modulator would greatly enhance their function in physiological settings

White-light flares on cool stars in the Kepler Quarter 1 Data

We present the results of a search for white light flares on the ~23,000 cool dwarfs in the Kepler Quarter 1 long cadence data. We have identified 373 flaring stars, some of which flare multiple times during the observation period. We calculate relative flare energies, flare rates and durations, and compare these with the quiescent photometric variability of our sample. We find that M dwarfs tend to flare more frequently but for shorter durations than K dwarfs, and that they emit more energy relative to their quiescent luminosity in a given flare than K dwarfs. Stars that are more photometrically variable in quiescence tend to emit relatively more energy during flares, but variability is only weakly correlated with flare frequency. We estimate distances for our sample of flare stars and find that the flaring fraction agrees well with other observations of flare statistics for stars within 300 pc above the Galactic Plane. These observations provide a more rounded view of stellar flares by sampling stars that have not been pre-selected by their activity, and are informative for understanding the influence of these flares on planetary habitability.Comment: 42 pages, 10 figures, 2 tables; Accepted for publication in the Astronomical Journa

Design and Evaluation of the Probation/Parole and Reentry Coach App (PARCA): A Platform to Support a Successful Reentry into Community

Justice-involved people (JIP), especially those with substance use disorder (SUD), face multiple challenges and inadequate resources as they re-enter their communities post-incarceration. Technology interventions have proven to be feasible in supporting this unique population. In this study, we applied iterative development methodology and user-centered design to develop and evaluate a technology artifact called Probation/Parole and Reentry Coach App (PARCA) composed of a JIP mobile app and justice team (JT) portal. PARCA assists recently released JIP with SUD with their reentry. We completed three feedback cycles involving healthcare and criminal justice experts and JIP (N=16) in design workshops, interviews, and usability studies. We collected and analyzed qualitative (semi-structured interviews) and quantitative (System Usability Scale and app use) data. As a pilot study that focuses on qualitative observations, the results indicate that PARCA provides an excellent usability experience for JIP (SUS scores>80) and is useful and satisfactory (based on qualitative responses)

Support services for victims and survivors of child sexual abuse

Some of the content in this report may be distressing to readers.Aims The four broad research aims were to: ● understand more about victims and survivors’ reasons for not accessing support services and any barriers to access; ● learn about victims and survivors’ perceptions and experiences of support services; ● understand what support services victims and survivors think are available to them and how to access them; and ● explore whether there are unmet needs for support services which impact on whether victims and survivors access support. Methods The sample was drawn from 634 adults who self-identified as victims and survivors of child sexual abuse as part of the ‘Abuse during childhood’ module in the Crime Survey for England and Wales (CSEW) year ending March 2019 (Office for National Statistics, 2020).3 A mixed-methods approach was used to explore the above research aims: ● A quantitative online survey4 of 181 victims and survivors from the CSEW recontact sample, including both those who had and had not accessed support. Descriptive and inferential analyses were conducted. ● Twenty-four qualitative in-depth interviews with three groups: (A) eight who had not accessed support services; (B) eight who self-identified as having had positive experiences of support services; and (C) eight who had negative experiences of support services. The interviews were analysed using thematic analysis. These were supplemented with six pen portraits (two from each of the above groups), and a network map to aid understanding of the service landscape. The research participants The ages of the survey respondents ranged from 19 to 74 years, with an average of 47 years. Around four in five identified as female (82%), the majority identified as being of a White ethnic background (92%), and one in three reported having a disability (33%). All regions of England and Wales were represented, with one in four living in London or South East England (26%). Nearly nine in ten identified as heterosexual (89%) Respondents reported experiencing between one and eight types of child sexual abuse. The two most common forms were being kissed or groped on any part of the body in a sexual way (73%) and penetration (64%). The age at first victimisation spanned from infancy to 17 years old, with an average of 9 years old. Child sexual abuse was more likely to have occurred in a familial setting (41%) than an institutional one (11%). Two in five (43%) respondents identified a friend, acquaintance or neighbour as the perpetrator. Around one in four (27%) identified an immediate – typically male – family member as the perpetrator. A stranger was identified by one in five (20%) respondents. Just over one in five respondents had never previously disclosed their experiences of child sexual abuse (21%), while four in five had made a disclosure (79%). Respondents were more than twice as likely to report making a disclosure later in life (75%) than at the time of the abuse (28%). A quarter disclosed at both points (24%)

Genome mapping of quantitative trait loci (QTL) controlling domestication traits of intermediate wheatgrass (Thinopyrum intermedium).

Allohexaploid (2n = 6x = 42) intermediate wheatgrass (Thinopyrum intermedium), abbreviated IWG, is an outcrossing perennial grass belonging to the tertiary gene pool of wheat. Perenniality would be valuable option for grain production, but attempts to introgress this complex trait from wheat-Thinopyrum hybrids have not been commercially successful. Efforts to breed IWG itself as a dual-purpose forage and grain crop have demonstrated useful progress and applications, but grain yields are significantly less than wheat. Therefore, genetic and physical maps have been developed to accelerate domestication of IWG. Herein, these maps were used to identify quantitative trait loci (QTLs) and candidate genes associated with IWG grain production traits in a family of 266 full-sib progenies derived from two heterozygous parents, M26 and M35. Transgressive segregation was observed for 17 traits related to seed size, shattering, threshing, inflorescence capacity, fertility, stem size, and flowering time. A total of 111 QTLs were detected in 36 different regions using 3826 genotype-by-sequence markers in 21 linkage groups. The most prominent QTL had a LOD score of 15 with synergistic effects of 29% and 22% over the family means for seed retention and percentage of naked seeds, respectively. Many QTLs aligned with one or more IWG gene models corresponding to 42 possible domestication orthogenes including the wheat Q and RHT genes. A cluster of seed-size and fertility QTLs showed possible alignment to a putative Z self-incompatibility gene, which could have detrimental grain-yield effects when genetic variability is low. These findings elucidate pathways and possible hurdles in the domestication of IWG

Tracking and Data Relay Satellite (TDRS) Orbit Estimation Using an Extended Kalman Filter

Alternatives to the Tracking and Data Relay Satellite (TDRS) orbit estimation procedure were studied to develop a technique that both produces more reliable results and is more amenable to automation than the prior procedure. The Earth Observing System (EOS) Terra mission has TDRS ephemeris prediction 3(sigma) requirements of 75 meters in position and 5.5 millimeters per second in velocity over a 1.5-day prediction span. Meeting these requirements sometimes required reruns of the prior orbit determination (OD) process, with manual editing of tracking data to get an acceptable solution. After a study of the available alternatives, the Flight Dynamics Facility (FDF) began using the Real-Time Orbit Determination (RTOD(Registered TradeMark)) Kalman filter program for operational support of TDRSs in February 2007. This extended Kalman filter (EKF) is used for daily support, including within hours after most thrusting, to estimate the spacecraft position, velocity, and solar radiation coefficient of reflectivity (C(sub R)). The tracking data used are from the Bilateration Ranging Transponder System (BRTS), selected TDRS System (TDRSS) User satellite tracking data, and Telemetry, Tracking, and Command (TT&C) data. Degraded filter results right after maneuvers and some momentum unloads provided incentive for a hybrid OD technique. The results of combining EKF strengths with the Goddard Trajectory Determination System (GTDS) Differential Correction (DC) program batch-least-squares solutions, as recommended in a 2005 paper on the chain-bias technique, are also presented