bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scores in Self-Report Questionnaires Assessing Adult ADHD Can Be Influenced by Negative Response Bias but Are Unrelated to Performance on Executive Function and Attention Tests
Authors: Bodenburg Sebastian , Wendiggensen Johanna , Kasten Erich 
Published: March 2022

AbstractSelf-report questionnaires are in widespread use in the assessment of adults with suspected attention-deficit and hyperactivity disorder (ADHD). Notwithstanding the high degree of validity, these questionnaires are considered to possess, their stand-alone use in assessment for adult ADHD may result in false-positive diagnoses due to the risk of negative response bias. Most of the self-report questionnaires in typical use are based on the diagnostic systems DSM-5 or ICD-10. From a neuropsychological point of view, however, testing of various executive function abilities and attentional performance is important in the assessment of adult ADHD. The present study (N = 211) found no evidence linking executive function (working memory and inhibitory processes) and attentional performance (processing speed) to the results of a self-report questionnaire, the ADHS-LE. The number of failures on the three symptom or performance validity tests (SVT/PVT) used provided the sole, and significant, explanation for the response behavior reported on the ADHS-LE. Of these three SVT/PVTs (the German version of the Structured Inventory of Malingered Symptomatology, SIMS, the reliable digit span, and the standard deviation of simple reaction time), only the SIMS was found to be a significant predictor variable. In the clinical context of this study, 32.6% of subjects produced at least one invalid SVT/PVT result. The use of a more conservative criterion—failure on at least two of the three SVT/PVTs deemed to be feigning ADHD—reduced the proportion of participants generating invalid values to 5%.
Temporal Stability of Seagrass Extent, Leaf Area, and Carbon Storage in St. Joseph Bay, Florida: a Semi-automated Remote Sensing Analysis
Authors: Lebrasse Marie Cindy , Schaeffer Blake A. , Coffer Megan M. , Whitman Peter J. , Zimmerman Richard C. , Hill Victoria J. , Islam Kazi A. , Li Jiang , Osburn Christopher L. 
Published: March 2022

AbstractSeagrasses are globally recognized for their contribution to blue carbon sequestration. However, accurate quantification of their carbon storage capacity remains uncertain due, in part, to an incomplete inventory of global seagrass extent and assessment of its temporal variability. Furthermore, seagrasses are undergoing significant decline globally, which highlights the urgent need to develop change detection techniques applicable to both the scale of loss and the spatial complexity of coastal environments. This study applied a deep learning algorithm to a 30-year time series of Landsat 5 through 8 imagery to quantify seagrass extent, leaf area index (LAI), and belowground organic carbon (BGC) in St. Joseph Bay, Florida, between 1990 and 2020. Consistent with previous field-based observations regarding stability of seagrass extent throughout St. Joseph Bay, there was no temporal trend in seagrass extent (23 ± 3 km2,τ= 0.09,p = 0.59,n = 31), LAI (1.6 ± 0.2,τ= -0.13,p = 0.42,n = 31), or BGC (165 ± 19 g C m−2,τ= - 0.01,p = 0.1,n = 31) over the 30-year study period. There were, however, six brief declines in seagrass extent between the years 2004 and 2019 following tropical cyclones, from which seagrasses recovered rapidly. Fine-scale interannual variability in seagrass extent, LAI, and BGC was unrelated to sea surface temperature or to climate variability associated with the El Niño-Southern Oscillation or the North Atlantic Oscillation. Although our temporal assessment showed that seagrass and its belowground carbon were stable in St. Joseph Bay from 1990 to 2020, forecasts suggest that environmental and climate pressures are ongoing, which highlights the importance of the method and time series presented here as a valuable tool to quantify decadal-scale variability in seagrass dynamics. Perhaps more importantly, our results can serve as a baseline against which we can monitor future change in seagrass communities and their blue carbon.
Formation of B- and M-group aflatoxins and precursors by Aspergillus flavus on maize and its implication for food safety
Authors: Schamann Alexandra , Schmidt-Heydt Markus , Geisen Rolf , Kulling Sabine E. , Soukup Sebastian T. 
Published: March 2022

AbstractAflatoxins count to the most toxic known mycotoxins and are a threat to food safety especially in regions with a warm and humid climate. Contaminated food reaches consumers globally due to international trade, leading to stringent regulatory limits of aflatoxins in food. While the formation of aflatoxin (AF) B1 by the filamentous fungus Aspergillus flavus is well investigated, less is known about the formation kinetics of its precursors and further aflatoxins. In this study, autoclaved maize kernels were inoculated with A. flavus and incubated at 25 °C for up to 10 days. Aflatoxins and precursors were analyzed by a validated UHPLC-MS method. Additional to AFB1 and AFB2, AFM1 and AFM2 were detected, confirming the ability of the formation of M-group aflatoxins on cereals by A. flavus. The measured relative levels of AFB2, AFM1, and AFM2 on maize compared to the level of AFB1 (mean of days 5, 7, and 10 of incubation) were 3.3%, 1.5%, and 0.2%, respectively. The occurrence and kinetics of the measured aflatoxins and their precursors sterigmatocystin, O-methylsterigmatocystin, 11-hydroxy-O-methylsterigmatocystin, aspertoxin, and 11-hydroxyaspertoxin (group 1) as well as of dihydrosterigmatocystin and dihydro-O-methylsterigmatocystin (group 2) supported the so far postulated biosynthetic pathway. Remarkable high levels of O-methylsterigmatocystin and aspertoxin (17.4% and 4.9% compared to AFB1) were found, raising the question about the toxicological relevance of these intermediates. In conclusion, based on the study results, the monitoring of O-methylsterigmatocystin and aspertoxin as well as M-group aflatoxins in food is recommended.
Individual Differences in Dispositional Mindfulness Predict Attentional Networks and Vigilance Performance
Authors: Cásedas Luis , Cebolla Ausiàs , Lupiáñez Juan 
Published: March 2022

Abstract
Objectives
Research addressing the relationship between dispositional mindfulness and objective attention performance remains inconclusive, partly because previous studies used sample sizes possibly leading to underpowered designs. Here, we examined this relationship in a large sample using the ANTI-Vea: a novel cognitive-behavioral task that simultaneously assesses the classic attentional networks—phasic alertness, orienting, executive control—and both the executive and arousal components of vigilance.

Methods
Two hundred nineteen meditation-naïve participants completed the study. Correlational analyses using Kendall’s Tau were performed between FFMQ scores and ANTI-Vea outcomes. Additional subsidiary correlations were performed between the FFMQ and two self-report measures assessing subjective attentional control and mind-wandering. Benjamini-Hochberg was applied to control de type I error rate. Internal consistency reliability indices were estimated for all measures used to aid the interpretation of the correlational results.

Results
Higher non-reactivity predicted overall faster reaction times and higher accuracy in attentional networks trials. Higher non-reactivity, as well as higher FFMQ total score, predicted faster reaction time and fewer lapses in arousal vigilance trials, the latter also being negatively associated with describe scores. The magnitude of the correlations ranged from τb = .103 to τb = .119. We found no association between FFMQ scores and executive control or executive vigilance.

Conclusions
Our results indicate that dispositional mindfulness is linked to improved global attentional and arousal vigilance performance, being non-reactivity to inner experience the key facet driving the association. The absence of association to executive processes is discussed based on the high cognitive demands of the ANTI-Vea task.

Pretrial Registration
Open Science Framework, https://osf.io/gb6c7
Basic physiology of Pseudomonas aeruginosa contacted with carbon nanocomposites
Authors: Augustyniak Adrian , Dubrowska Kamila , Jabłońska Joanna , Cendrowski Krzysztof , Wróbel Rafał J. , Piz Mateusz , Filipek Elżbieta , Rakoczy Rafał 
Published: March 2022

AbstractExperiments describing properties of nanomaterials on bacteria are frequently limited to the disk diffusion method or other end-point methods indicating viability or survival rate in plate count assay. Such experimental design does not show the dynamic changes in bacterial physiology, mainly when performed on reference microorganisms (Escherichia coli and Staphylococcus aureus). Testing other microorganisms, such as Pseudomonas aeruginosa, could provide novel insights into the microbial response to nanomaterials. Therefore, we aimed to test selected carbon nanomaterials and their components in a series of experiments describing the basic physiology of P. aeruginosa. Concentrations ranging from 15.625 to 1000 µg/mL were tested. The optical density of cultures, pigment production, respiration, growth curve analysis, and biofilming were tested. The results confirmed variability in the response of P. aeruginosa to tested nanostructures, depending on their concentration. The co-incubation with the nanostructures (in concentration 125 µg/mL) could inhibit the population growth (in most cases) or promote it in the case of graphene oxide. Furthermore, a specific concentration of a given nanomaterial could cause contradictory effects leading to stimulation or inhibition of pigmentation, an optical density of the cultures, or biofilm formation. We have found that particularly nanomaterials containing TiO2 could induce pigmentation in P. aeruginosa, which indicates the possibility of increased virulence. On the other hand, nanocomposites containing cobalt nanoparticles had the highest anti-bacterial potential when cobalt was displayed on the surface. Our approach revealed changes in respiration and growth dynamics that can be used to search for nanomaterials’ application in biotechnology.
Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol
Authors: Pedraza-González Laura , Barneschi Leonardo , Padula Daniele , De Vico Luca , Olivucci Massimo 
Published: March 2022

AbstractIn recent years, photoactive proteins such as rhodopsins have become a common target for cutting-edge research in the field of optogenetics. Alongside wet-lab research, computational methods are also developing rapidly to provide the necessary tools to analyze and rationalize experimental results and, most of all, drive the design of novel systems. The Automatic Rhodopsin Modeling (ARM) protocol is focused on providing exactly the necessary computational tools to study rhodopsins, those being either natural or resulting from mutations. The code has evolved along the years to finally provide results that are reproducible by any user, accurate and reliable so as to replicate experimental trends. Furthermore, the code is efficient in terms of necessary computing resources and time, and scalable in terms of both number of concurrent calculations as well as features. In this review, we will show how the code underlying ARM achieved each of these properties.
Biochar for the removal of contaminants from soil and water: a review
Authors: Qiu Muqing , Liu Lijie , Ling Qian , Cai Yawen , Yu Shujun , Wang Shuqin , Fu Dong , Hu Baowei , Wang Xiangke 
Published: March 2022

AbstractBiochar shows significant potential to serve as a globally applicable material to remediate water and soil owing to the extensive availability of feedstocks and conducive physio-chemical surface characteristics. This review aims to highlight biochar production technologies, characteristics of biochar, and the latest advancements in immobilizing and eliminating heavy metal ions and organic pollutants in soil and water. Pyrolysis temperature, heat transfer rate, residence time, and type of feedstock are critical influential parameters. Biochar’s efficacy in managing contaminants relies on the pore size distribution, surface groups, and ion-exchange capacity. The molecular composition and physical architecture of biochar may be crucial when practically applied to water and soil. In general, biochar produced at relatively high pyrolysis temperatures can effectively manage organic pollutants via increasing surface area, hydrophobicity and microporosity. Biochar generated at lower temperatures is deemed to be more suitable for removing polar organic and inorganic pollutants through oxygen-containing functional groups, precipitation and electrostatic attraction. This review also presents the existing obstacles and future research direction related to biochar-based materials in immobilizing organic contaminants and heavy metal ions in effluents and soil.
Graphical Abstract
Large Deviations for a Slow–Fast System with Jump-Diffusion Processes
Authors: Yang Xiaoyu , Xu Yong , Jiao Zhe 
Published: March 2022

AbstractA slow–fast system with jump-diffusion processes is considered. The large deviations are established via the weak convergence approach, which is based on the variational representations for functional of Poisson random measure and Brownian motion. We present an example to verify that the level of the asset price satisfies large deviations with small volatility.
Role of Community Health Volunteers Since the 2015 Nepal Earthquakes: A Qualitative Study
Authors: Bhattarai Hari Krishna , Hung Kevin Kei Ching , MacDermot Makiko Kato , Hubloue Ives , Barone-Adesi Francesco , Ragazzoni Luca , Della Corte Francesco , Acharya Richa , Graham Colin A. 
Published: March 2022

Abstract

Objective:
Nepal female community health volunteers (FCHVs) were the first available health personnel in communities during the 2015 Nepal earthquakes. This study explored the facilitating factors and barriers of the FCHVs during health emergencies.

Methods:
In-depth interviews with 24 FCHVs and 4 health managers from 2 districts in Nepal (Gorkha and Sindhupalchowk) were conducted using semi-structured interview guides. The qualitative data were analyzed using thematic analysis methods.

Results:
FCHVs were the first responders to provide services after the earthquakes and were well accepted by the local communities. Different models of supervision existed, and differences in the workload and remuneration offered to FCHVs were described. A wide range of disaster-related knowledge and skills were required by FCHVs, and lack of prior training was an issue for some respondents. Furthermore, lack of access to adequate medical supplies was a major barrier for FCHVs in the 2015 earthquakes. The 5 identified themes were discussed.

Conclusion:
Providing regular disaster response training for FCHVs and strong leadership from the public sector with sustained investments will be essential for increasing the capacities of community health workforces to prepare for and reduce the impacts of future health emergencies in resource-poor settings.
COVID-19: autoimmunity, multisystemic inflammation and autoimmune rheumatic patients
Authors: Szekanecz Zoltán , Balog Attila , Constantin Tamás , Czirják László , Géher Pál , Kovács László , Kumánovics Gábor , Nagy György , Rákóczi Éva , Szamosi Szilvia , Szűcs Gabriella , Vályi-Nagy István 
Published: March 2022

Abstract
Coronavirus disease 2019 (COVID-19) is associated with autoimmunity and systemic inflammation. Patients with autoimmune rheumatic and musculoskeletal disease (RMD) may be at high risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In this review, based on evidence from the literature, as well as international scientific recommendations, we review the relationships between COVID-19, autoimmunity and patients with autoimmune RMDs, as well as the basics of a multisystemic inflammatory syndrome associated with COVID-19. We discuss the repurposing of pharmaceutics used to treat RMDs, the principles for the treatment of patients with autoimmune RMDs during the pandemic and the main aspects of vaccination against SARS-CoV-2 in autoimmune RMD patients.
Social protection expenditure and redistribution in the Western Balkans
Authors: Mustafa Artan , Gerovska-Mitev Maja 
Published: March 2022

AbstractThis paper analyses social protection expenditure, its financing and its correlation with redistribution effects in the European Union (EU) candidate and potential candidate countries from the Western Balkans – Albania, Bosnia and Herzegovina, North Macedonia, Montenegro, Kosovo and Serbia. Although social expenditure in the Western Balkans varies between countries in terms of the extent and functions, in general, it is growing and concentrates on the elderly population. The expenditure is strongly redistributive towards old age, but is less efficient in reducing extensive child and working-age poverty. From an intergenerational perspective, despite various recent improvements, it remains significantly unbalanced compared to the EU. The expenditure reflects the design of social rights that have been shaped by the legacy of socialism and war, local politics, and international organisations perhaps more than by the impact of economic resources and aging.
Multicentennial to millennial–scale changes in the East Asian summer monsoon during Greenland interstadial 25
Authors: Dong Jinguo , Shen Chuan-Chou , Wang Yi , Hu Hsun-Ming , Banerjee Yogaraj , Huang Wei 
Published: March 2022

AbstractA multidecadal-resolved stalagmite δ18O record from two nearby caves, Lianhua and Dragon, in Shanxi Province, northern China, characterizes the detailed East Asian summer monsoon (EASM) intensity changes at 114.6–108.3 ka during Marine Oxygen Isotope Stage 5d. Our record shows an intensification of the EASM at 114.6–109.5 ka, followed by a rapid weakening at 109.5–108.4 ka. The millennial-scale strong monsoonal event appears to be correlated with the warm Greenland interstadial 25 (GI 25), whereas the weak monsoonal event is related to the cold Greenland stadial 25 within dating errors. The GI 25 monsoonal event registered in our record is also documented in various published time series from different regions of China. The lines of evidence indicate that this event occurred over the entirety of monsoonal China and was also broadly antiphase, similar to the corresponding event on a millennial time scale in the South American monsoon territory. In our record, one 700 yr weak monsoon event at 110.7+0.6−0.5 to 110.0+0.8−0.4 ka divides the GI 25 into three substages. These multicentennial to millennial–scale monsoon events correspond to two warm periods and an intervening cold interval for the intra-interstadial climate oscillations within GI 25, thus supporting a persistent coupling of the high- and low-latitude climate systems over the last glacial period.
FAT-based robust adaptive controller design for electrically direct-driven robots using Phillips q-Bernstein operators
Authors: Izadbakhsh Alireza , Kalat Ali Akbarzadeh , Nikdel Nazila 
Published: March 2022

AbstractThis article proposes a robust and adaptive controller for industrial robot arms with multiple degrees of freedom without the need for velocity measurement. Many of the controllers designed for manipulators are model-based and require detailed knowledge of the system model. In contrast to these methods, this paper proposes a model-free controller using the Philips q-Bernstein operator as universal approximator. The designed controller can approximate uncertainties including external disturbances and unmodeled dynamics based on its universal approximation capability. Besides, most of the controllers revealed for robot arms are torque-based, which is not a realistic presumption from a practical point of view. In the proposed control method, the voltage applied to the actuator is considered as the control signal. However, unlike many voltage-based methods, the need to know the exact models of the system and the actuator has been eliminated in the presented method. Also, adaptive rules are extracted during the Lyapunov analysis to ensure system stability. Finally, to analyze the performance of the presented controller, this method is simulated for an industrial robot arm, and the results are analyzed. The proposed methodology is also compared to those of a strong state-of-the-art approximator, the Chebyshev neural network.
Indirect effects, via parental factors, of income harshness and unpredictability on kindergarteners’ socioemotional functioning
Authors: Li Zhi , Belsky Jay 
Published: March 2022

AbstractDrawing on data from the Early Childhood Longitudinal Study-Birth Cohort (n= 10,700), we evaluate indirect effects − via parent negative psychology and harsh-inconsistent parenting − of income harshness, unpredictability, and their interaction on kindergarteners’ socioemotional development. Income harshness is operationalized as the typical level of family income-to-needs across four repeated measurements from 9 months to kindergarten and unpredictability as random variation across the same repeated measurements. Results indicate that the effects of greater income harshness and the harshness-X-unpredictability interaction (reflecting more predictable income harshness) on more “problematic” child behavior operated via both parent negative psychology (i.e., greater psychological stress) and harsh-inconsistent parenting. Results underscore the utility of simultaneously investigating effects of income harshness and unpredictability, as well as their interaction and mechanisms of influence.
Externalizing behavior in preschool children in a South African birth cohort: Predictive pathways in a high-risk context
Authors: Malcolm-Smith Susan , Lake Marilyn T. , Krwece Akhona , du Plooy Christopher P. , Hoffman Nadia , Donald Kirsten A. , Zar Heather J. , Stein Dan J. 
Published: March 2022

AbstractMental health problems often begin in early childhood. However, the associations of various individual and contextual risk factors with mental health in the preschool period are incompletely understood, particularly in low- to middle-income countries (LMICs) where multiple risk factors co-exist. To address this gap, we prospectively followed 981 children in a South African birth cohort, the Drakenstein Child Health Study, assessing pre-and postnatal exposures and risk factors. The predictive value of these factors for child mental health (assessed by the Child Behavior Checklist) was modeled using structural equation modeling. We identified two key pathways to greater externalizing behavior: (1) prenatal exposure to substances (alcohol and smoking) directly predicted increased externalizing behavior (β = 0.24, p < 0.001); this relationship was partially mediated by an aspect of infant temperament (negative emotionality; β = 0.05, p = 0.016); (2) lower socioeconomic status and associated maternal prenatal depression predicted more coercive parenting, which in turn predicted increased externalizing behavior (β = 0.18, p = 0.001). Findings in this high-risk LMIC cohort cohere with research from higher income contexts, and indicate the need to introduce integrated screening and intervention strategies for maternal prenatal substance use and depression, and promoting positive parenting across the preschool period.