bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross-cultural differences in academic self-efficacy and its sources across socialization contexts
Authors: Gebauer Miriam M. , McElvany Nele , Köller Olaf , Schöber Christian 
Published: September 2021

AbstractThis study investigated how as reported by Bandura (Self-efficacy: The exercise of control Freeman, 1997) sources of self-efficacy differ across socialization contexts for German students with diverse immigrant backgrounds. We measured all four sources of academic self-efficacy in three socialization contexts for students of former Soviet Union and Turkish descent as well as without an immigrant background, assuming that we would find differences between these groups. Participants were 1217 seventh-grade students in Germany. Multigroup structural equation analyses with latent variables revealed the differential importance of socialization contexts for the relation between academic self-efficacy and its sources across groups. For students of former Soviet Union and Turkish descent, verbal or social persuasion is the strongest contributing factor for academic self-efficacy, whereas for students without an immigrant background, it is mastery experience. In the school context, significant relationships between sources of self-efficacy and academic self-efficacy could only be observed for students without an immigrant background. The results both support and refine Bandura’s social cognitive theory by showing that self-related constructs function differently in students with culturally diverse immigrant backgrounds.
A low-area design of two-factor authentication using DIES and SBI for IoT security
Authors: Sudha M. N. , Rajendiran M. , Specht Mariusz , Reddy Kasarla Satish , Sugumaran S. 
Published: September 2021

AbstractInternet of things (IoTs) is an integration of heterogeneous physical devices which are interconnected and communicated over the physical Internet. The design of secure, lightweight and an effective authentication protocol is required, because the information is transmitted among the remote user and numerous sensing devices over the IoT network. Recently, two-factor authentication (TFA) scheme is developed for providing the security among the IoT devices. But, the performances of the IoT network are affected due to the less memory storage and restricted resource of the IoT. In this paper, the integration of data inverting encoding scheme (DIES) and substitution-box-based inverter is proposed for providing the security using the random values of one-time alias identity, challenge, server nonce and device nonce. Here, the linearity of produced random values is decreased for each clock cycle based on the switching characteristics of the selection line in DIES. Moreover, the linear feedback shift register is used in the adaptive physically unclonable function (APUF) for generating the random response value. The APUF–DIES-IoT architecture is analyzed in terms of lookup table, flip flops, slices, frequency and delay. This APUF–DIES-IoT architecture is analyzed for different security and authentication performances. Two existing methods are considered to evaluate the APUF–DIES-IoT architecture such as TFA-PUF-IoT and TFA-APUF-IoT. The APUF–DIES-IoT architecture uses 36 flip flops at Virtex 6; it is less when compared to the TFA-PUF-IoT and TFA-APUF-IoT.
Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery
Authors: Foppa Lucas , Ghiringhelli Luca M. 
Published: September 2021

AbstractIn order to estimate the reactivity of a large number of potentially complex heterogeneous catalysts while searching for novel and more efficient materials, physical as well as data-centric models have been developed for a faster evaluation of adsorption energies compared to first-principles calculations. However, global models designed to describe as many materials as possible might overlook the very few compounds that have the appropriate adsorption properties to be suitable for a given catalytic process. Here, the subgroup-discovery (SGD) local artificial-intelligence approach is used to identify the key descriptive parameters and constrains on their values, the so-called SG rules, which particularly describe transition-metal surfaces with outstanding adsorption properties for the oxygen-reduction and -evolution reactions. We start from a data set of 95 oxygen adsorption-energy values evaluated by density-functional-theory calculations for several monometallic surfaces along with 16 atomic, bulk and surface properties as candidate descriptive parameters. From this data set, SGD identifies constraints on the most relevant parameters describing materials and adsorption sites that (i) result in O adsorption energies within the Sabatier-optimal range required for the oxygen-reduction reaction and (ii) present the largest deviations from the linear-scaling relations between O and OH adsorption energies, which limit the catalyst performance in the oxygen-evolution reaction. The SG rules not only reflect the local underlying physicochemical phenomena that result in the desired adsorption properties, but also guide the challenging design of alloy catalysts.
Designing computer-based tests: design guidelines from multimedia learning studied with eye tracking
Authors: Dirkx K. J. H. , Skuballa I. , Manastirean-Zijlstra C. S. , Jarodzka H. 
Published: September 2021

AbstractThe use of computer-based tests (CBTs), for both formative and summative purposes, has greatly increased over the past years. One major advantage of CBTs is the easy integration of multimedia. It is unclear, though, how to design such CBT environments with multimedia. The purpose of the current study was to examine whether guidelines for designing multimedia instruction based on the Cognitive Load Theory (CLT) and Cognitive Theory of Multimedia Learning (CTML) will yield similar effects in CBT. In a within-subject design, thirty-three vocational students completed a computer-based arithmetic exam, in which half of the items were presented in an original design format, and the other half was redesigned based on the CTML principles for instructional design (i.e., adapted format). Results showed that applying CTML principles to a CBT decreased the difficulty of the test items, i.e., students scored significantly higher on the adapted test items. Moreover, eye-tracking data showed that the adapted items required less visual search and increased attention for the question and answer. Finally, cognitive load, measured as silent pauses during a secondary think-aloud task, decreased. Mean fixation duration (a different indicator of cognitive load), however, did not significantly differ between adapted and original items. These results indicate that applying multimedia principles to CBTs can be beneficial. It seems to prevent cognitive overload and helps students to focus on important parts of the test items (e.g., the question), leading to better test results.
The Importance of Riparian Forest Cover to the Ecological Status of Agricultural Streams in a Nationwide Assessment
Authors: Tolkkinen Mikko , Vaarala Saku , Aroviita Jukka 
Published: September 2021

AbstractForested riparian corridors are a key management solution for halting the global trend of declining ecological status of freshwater ecosystems. There is an increasing body of evidence related to the efficacy of these corridors at the local scale, but knowledge is inadequate concerning the effectiveness of riparian forests in terms of protecting streams from harmful impacts across larger scales. In this study, nationwide assessment results comprising more than 900 river water bodies in Finland were used to examine the importance of adjacent land use to river ecological status estimates. Random forest models and partial dependence functions were used to quantify the independent effect of adjacent land use on river ecological status after accounting for the effects of other factors. The proportion of adjacent forested land along a river had the strongest independent positive effect on ecological status for small to medium size rivers that were in agricultural landscapes. Ecological quality increased by almost one status class when the adjacent forest cover increased from 10 to 60%. In contrast, for large rivers, adjacent forested land did not show an independent positive effect on ecological status. This study has major implications for managing river basins to achieve the EU Water Framework Directive (WFD) goal of obtaining good ecological status of rivers. The results from the nationwide assessment demonstrate that forested riparian zones can have an independent positive effect on the ecological status of rivers, indicating the importance of riparian forests in mitigating the impacts of catchment-level stressors. Therefore, forested buffer zones should be more strongly considered as part of river basin management.
Examination of the diaphragm in obstructive sleep apnea using ultrasound imaging
Authors: Molnár Viktória , Molnár András , Lakner Zoltán , Tárnoki Dávid László , Tárnoki Ádám Domonkos , Jokkel Zsófia , Szabó Helga , Dienes András , Angyal Emese , Németh Fruzsina , Kunos László , Tamás László 
Published: September 2021

Abstract
Purpose
The aim of this study was to analyze the effect of obstructive sleep apnea (OSA) on the ultrasound (US) features of the diaphragm and to determine if diaphragmatic US may be a useful screening tool for patients with possible OSA.

Methods
Patients complaining of snoring were prospectively enrolled for overnight polygraphy using the ApneaLink Air device. Thickness and motion of the diaphragm during tidal and deep inspiration were measured. Logistic regression was used to assess parameters of the diaphragm associated with OSA.

Results
Of 100 patients, 64 were defined as having OSA. Thicknesses of the left and right hemidiaphragms were significantly different between OSA and control groups. Using a combination of diaphragmatic dimensions, diaphragm dilation, age, sex, and BMI, we developed an algorithm that predicted the presence of OSA with 91% sensitivity and 81% specificity.

Conclusion
A combination of anthropometric measurements, demographic factors, and US imaging may be useful for screening patients for possible OSA. These findings need to be confirmed in larger sample sizes in different clinical settings.
Poverty traps across levels of aggregation
Authors: Fitz Dylan , Gouri Suresh Shyam 
Published: September 2021

AbstractPoverty trap studies help explain the simultaneous escape from poverty by some households and regions alongside deep and persistent poverty elsewhere. However, researchers remain divided about how important poverty traps are in explaining the range of poverty dynamics observed in various contexts. We build a theoretical model that integrates micro-, meso-, and macro-level poverty traps, allowing us to analyze the ways in which multiple layers of poverty traps interact and reinforce each other. Through this simulation model, markets and institutions arise endogenously and help certain individuals escape poverty, while others remain persistently poor. In addition to one’s own productivity and initial capital levels, we explore how individual opportunity and income can be heavily determined by market access and institutional factors beyond one’s control. Using simulation results from controlled experiments, we can identify the role played by meso- and macro-conditions (that correspond to local markets and country-wide institutions, respectively) in helping individuals escape poverty. Our results suggest that even in a parsimonious model—with optimizing, forward-looking agents operating in a world with only one trap at each level—local and national context matters immensely and combines to determine individual opportunity in complex ways.
Joint-preserving surgical treatment options for irreparable posterosuperior rotator cuff tear
Authors: Grubhofer Florian , Warner Jon JP 
Published: September 2021

AbstractTreatment of irreparable rotator cuff tears in young active patients is challenging. A variety of therapeutic options are available. Only a few joint-preserving treatment options show reliable improvements over a long-term follow-up period. However, the treatment outcomes of joint preservation procedures are not comparable to those of RTSA, as patients are typically younger and have higher expectations. It is remarkable that most of the joint-preserving therapeutic options for irreparable rotator cuff ruptures lack long-term treatment results. This article highlights the indications, technical aspects, and treatment outcomes of the most commonly performed joint-preserving surgeries for irreparable rotator cuff rupture.
Diagnostic coding of chronic physical conditions in Irish general practice
Authors: Pericin Ivana , Larkin James , Collins Claire 
Published: September 2021

Abstract
Background
Chronic conditions are responsible for significant mortality and morbidity among the population in Ireland. It is estimated that almost one million people are affected by one of the four main categories of chronic disease (cardiovascular disease, chronic obstructive pulmonary disease, asthma, and diabetes). Primary healthcare is an essential cornerstone for individuals, families, and the community and, as such, should play a central role in all aspects of chronic disease management.

Aim
The aim of the project was to examine the extent of chronic disease coding of four chronic physical conditions in the general practice setting.

Methods
The design was a descriptive cross-sectional study with anonymous retrospective data extracted from practices.

Results
Overall, 8.8% of the adult population in the six participating practices were coded with at least one chronic condition. Only 0.7% of adult patients were coded with asthma, 0.3% with COPD, 3% with diabetes, and 3.3% with CVD. Male patients who visited their GP in the last year were more likely to be coded with any of the four chronic diseases in comparison with female patients. A significant relationship between gender and being coded with diabetes and CVD was found.

Conclusions
For a likely multitude of reasons, diagnostic coding in Irish general practice clinics in this study is low and insufficient for an accurate estimation of chronic disease prevalence. Monitoring of information provided through diagnostic coding is important for patients’ care and safety, and therefore appropriate training and reimbursement for these services is essential.
Measuring the exposure of Black, Asian and other ethnic groups to COVID-infected neighbourhoods in English towns and cities
Authors: Harris Richard , Brunsdon Chris 
Published: September 2021

AbstractDrawing on the work of The Doreen Lawrence Review—a report on the disproportionate impact of COVID-19 on Black, Asian and minority ethnic communities in the UK—this paper develops an index of exposure, measuring which ethnic groups have been most exposed to COVID-19 infected residential neighbourhoods during the first and second waves of the pandemic in England. The index is based on a Bayesian Poisson model with a random intercept in the linear predictor, allowing for extra-Poisson variation at neighbourhood and town/city scales. This permits within-city differences to be decoupled from broader regional trends in the disease. The research finds that members of ethnic minority groups can be living in areas with higher infection rates but also that the risk of exposure is distributed unevenly across these groups. Initially, in the first wave, the disease disproportionately affected Black residents but, as the pandemic has progressed, especially the Pakistani but also the Bangladeshi and Indian groups have had the highest exposure. This higher exposure of the Pakistani group is not straightforwardly a function of neighbourhood deprivation because it is present across a range of average house prices. We find evidence to support the view, expressed in The Doreen Lawrence Review, that it is linked to occupational and environmental exposure, particularly residential density but, having allowed for these factors, differences between the towns and cities remain.
Open and empathic personalities see two things at the same time: the relationship of big-five personality traits and cognitive empathy with mixed percepts during binocular rivalry
Authors: Koivisto Mika , Virkkala Maija , Puustinen Mika , Aarnio Jetta 
Published: September 2021

AbstractDoes our personality predict what we see? This question was studied in 100 university students with binocular rivalry paradigm by presenting incompatible images to each eye, allowing multiple interpretations of the same sensory input. During continuous binocular presentation, dominance of perception starts to fluctuate between the images. When neither of the images is fully suppressed, the two images combine into mixed percepts. We focused on the link between mixed percepts, big-five traits, and empathy. The results revealed that openness and agreeableness correlated with the occurrence of mixed percepts after the first dominant perception. However, these correlations of openness and agreeableness were mediated by cognitive empathy. In addition, openness had a direct association with reporting the initial percept in the onset of stimulation as a mixed percept, suggesting a mechanism that is separate from the one mediated by cognitive empathy. Overall, the results provide preliminary evidence suggesting that personality predicts what we see. Such individual differences in perceptual interpretations may be linked to both higher level cognitive mechanisms as well as lower level visual mechanisms.
A Biosemiotic Perspective on Reward-Based Animal Training Techniques
Authors: Lewis Amelia 
Published: September 2021

AbstractIn this paper, I examine the way humans interact with domestic companion animals, with a focus on ‘positive reward-based training’ methods, particularly for dogs. From a biosemiotic perspective, I discuss the role of animal training in today’s society and examine what binary reward- based reinforcement schedules communicate, semiotically. I also examine the extent to which reward-based training methods promote better welfare, when compared to the more traditional methods which rely on aversive stimuli and punishment, if and when they are relied upon excessively. I conclude that when used as the primary means of communication, they have the potential to be detrimental to animal welfare, because the underlying social signal is control and resource dominance. As an alternative view to behaviourist-based learning theory and conditioning, I outline how enactivist theories of cognition support a semiotic approach to interspecific human-animal communication. I therefore propose a move toward a dynamic semiosis and mutual understanding based upon Peirce’s phenomenology, resulting in a more balanced merging of Umwelten. The aim is to create rich and more complex semiospheres around humans and domestic animals, which allow for individual agency and autonomy.
New estimation method for periodic autoregressive time series of order 1 with additive noise
Authors: Żuławiński Wojciech , Wyłomańska Agnieszka 
Published: September 2021

AbstractThe periodic behavior of real data can be manifested in the time series or in its characteristics. One of the characteristics that often manifests the periodic behavior is the sample autocovariance function. In this case, the periodically correlated (PC) behavior is considered. One of the main models that exhibits PC property is the periodic autoregressive (PARMA) model that is considered as the generalization of the classical autoregressive moving average (ARMA) process. However, when one considers the real data, practically the observed trajectory corresponds to the “pure” model with the additional noise which is a result of the noise of the measurement device or other external forces. Thus, in this paper we consider the model that is a sum of the periodic autoregressive (PAR) time series and the additive noise with finite-variance distribution. We present the main properties of the considered model indicating its PC property. One of the main goals of this paper is to introduce the new estimation method for the considered model’s parameters. The novel algorithm takes under consideration the additive noise in the model and can be considered as the modification of the classical Yule–Walker algorithm that utilizes the autocovariance function. Here, we propose two versions of the new method, namely the classical and the robust ones. The effectiveness of the proposed methodology is verified by Monte Carlo simulations. The comparison with the classical Yule–Walker method is presented. The approach proposed in this paper is universal and can be applied to any finite-variance models with the additive noise.
Learning to Play the Piano Whilst Reading Music: Short-Term School-Based Piano Instruction Improves Memory and Word Recognition in Children
Authors: Price-Mohr Ruth , Price Colin 
Published: September 2021

AbstractThere is a substantial body of evidence that demonstrates links between language and music and between music and improved cognitive ability, particularly with regard to verbal and working memory, in both adults and children. However, there is often a mix of type of musical training and instrument used and use of musical notation. The research reported here uses a randomised controlled trial with 32 novice children, aged seven, learning to play the piano with both hands whilst reading music notation. The intervention was conducted in a school setting, each child receiving in total four hours of instruction. Results confirm previous findings that short-term music instruction improves working memory. Results also demonstrated that children with this musical training outperformed controls on a word identification measure. Overall, the results show evidence for a causal relationship between music learning and improvements in verbal skills. The significant differences occurred after only one term of instruction and were stable 3 months post-intervention.
Micro-mesoporous modified activated carbon from corn husks for removal of hexavalent chromium ions
Authors: Ammar Nabila S. , Fathy Nady A. , Ibrahim Hanan S. , Mousa Sahar M. 
Published: September 2021

AbstractModified activated carbon sorbents (ACP-Zn and ACP-Zn-Fe) had been prepared from the activation of corn husks precursor to increase the chemical activity of the resulting adsorbents by increasing the number of active functional groups and generation of micro-mesoporous structures. Fourier transform infrared (FTIR) assessed the acidic surface properties of the prepared activated carbons that is due to the presence acidic functional groups such as –OH and –COOH which improves the removal efficiency of the produced sorbents. Textural characteristics revealed the generation of micro-mesoporous structures in ACP–Zn and ACP-Zn-Fe. Thus the combination of H3PO4 with Zn or Zn–Fe could enhance the mesoporosity with a considerable decrease in the adsorption of nitrogen. However, the formation of mesopores might be attributed to the template-like effects of the obtained Zn- of Zn-Fe compounds inside the carbon structure. These structures were employed as sorbents for removal of hexavalent chromium Cr(VI) ions from its aqueous solutions, and the removal efficiency reached ~ 86% for ACP-Zn-Fe and ~ 82% for ACP-Zn. The kinetic modeling studies revealed that the sorption process follows the pseudo-second-order model which indicates that the mechanism of process is chemisorptions. Freundlich, Langmuir and Dubinin–Radushkevich (D–R) models were used to express the experimental data. The isotherm modeling studies revealed that the sorption process was fit with both Freundlich and Langmuir models with maximum capacity 24.8 and 30.3 mg/g for ACP-Zn and ACP-Zn-Fe, respectively.