bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical independence in mathematics–the key to a Gaussian law
Authors: Leobacher Gunther , Prochno Joscha 
Published: October 2020

AbstractIn this manuscript we discuss the notion of (statistical) independence embedded in its historical context. We focus in particular on its appearance and role in number theory, concomitantly exploring the intimate connection of independence and the famous Gaussian law of errors. As we shall see, this at times requires us to go adrift from the celebrated Kolmogorov axioms, which give the appearance of being ultimate ever since they have been introduced in the 1930s. While these insights are known to many a mathematician, we feel it is time for both a reminder and renewed awareness. Among other things, we present the independence of the coefficients in a binary expansion together with a central limit theorem for the sum-of-digits function as well as the independence of divisibility by primes and the resulting, famous central limit theorem of Paul Erdős and Mark Kac on the number of different prime factors of a number $$n\in{\mathbb{N}}$$

n
∈
N

. We shall also present some of the (modern) developments in the framework of lacunary series that have its origin in a work of Raphaël Salem and Antoni Zygmund.
A comprehensive mapping of outcomes following psychotherapy for adolescent depression: The perspectives of young people, their parents and therapists
Authors: Krause K. , Midgley N. , Edbrooke-Childs J. , Wolpert M. 
Published: October 2020

AbstractAs mental health systems move towards person-centred care, outcome measurement in clinical research and practice should track changes that matter to young people and their families. This study mapped the types of change described by three key stakeholder groups following psychotherapy for depression, and compared the salience of these outcomes with the frequency of their measurement in recent quantitative treatment effectiveness studies for adolescent depression.Using qualitative content analysis, this study identified and categorized outcomes across 102 semi-structured interviews that were conducted with depressed adolescents, their parents, and therapists, as part of a randomized superiority trial. Adolescents had been allocated to Cognitive-Behavioral Therapy, Short-Term Psychoanalytic Psychotherapy, or a Brief Psychosocial Intervention.The study mapped seven high-level outcome domains and 29 outcome categories. On average, participants discussed change in four domains and six outcome categories. The most frequently discussed outcome was an improvement in mood and affect (i.e., core depressive symptoms), but close to half of the participants also described changes in family functioning, coping and resilience, academic functioning, or social functioning. Coping had specific importance for adolescents, while parents and therapists showed particular interest in academic functioning. There was some variation in the outcomes discussed beyond these core themes, across stakeholder groups and treatment arms.Of the outcomes that were frequently discussed in stakeholder narratives, only symptomatic change has been commonly reported in recent treatment studies for adolescent depression. A shift towards considering multiple outcome domains and perspectives is needed to reflect stakeholder priorities and enable more nuanced insights into change processes.
Future-proofing hydrogeology by revising groundwater monitoring practice
Authors: Rau Gabriel C. , Cuthbert Mark O. , Post Vincent E. A. , Schweizer Daniel , Acworth R. Ian , Andersen Martin S. , Blum Philipp , Carrara Elisabetta , Rasmussen Todd C. , Ge Shemin 
Published: October 2020

AbstractGroundwater is an important global resource and its sustainable use faces major challenges. New methods and advances in computational science could lead to much improved understanding of groundwater processes and subsurface properties. A closer look at current groundwater monitoring practice reveals the need for updates with a special focus on the benefits of high-frequency and high-resolution datasets. To future-proof hydrogeology, this technical note raises awareness about the necessity for improvement, provides initial recommendations and advocates for the development of universal guidelines.
Exploring controls of timber stock residence times in storage after severe storm events
Authors: Zimmermann Klaus , Schuetz Tobias , Weimar Holger , Dieter Matthias 
Published: October 2020

AbstractThe storage of significant amounts of timber from thrown or dead trees after natural disturbances is an established practice for forest enterprises. Timber storage mitigates economic losses caused by supply-driven timber price falls after natural disturbances. We use a forest accounting database to explore the controls of residence times of coniferous timber stocks in storage following severe storm events. We characterize forest enterprises’ timber stock outflow distributions from storage over several years by mean residence times and their variances. We conduct regression analyses on the expected residence times and their variances. We assess the significance of several explanatory variables representing economic, institutional and tree species-related factors on these metrics using multiple linear regression analyses. Illustrating the effect of these variables on timber storage residence time distributions we reanalyze the database by grouping the FADN data sets with regard to the identified control variables and determine their mean timber storage outflow distributions after the storm events as well as associated expected residence times and their variances. Applying the resulting parameters with the continuous gamma distribution to simulate TSO residence time distributions clearly illuminates the effect of the control variables on storage management. We show that besides market price dynamics, species groups, ownership categories and forest worker capacities are statistically significant controls for mean residence times of timber stock in storage and their variances. We find that stronger timber price falls correlate with shorter mean residence times of timber stocks in storage. We relate this to liquidity maintenance of forest enterprises. We model duration times parameterizing the Gamma distribution. The application of the Gamma distribution to characterize storage management behavior offers the potential to describe differences in timber stock quantities even on shorter timescales than the mean storage residence times. According to our results, we propose to assess timber stocks in storage over a multi-year period in order to improve related national and international accounting schemes.
Data-Driven Models for Objective Grading Improvement of Parkinson’s Disease
Authors: Butt Abdul Haleem , Rovini Erika , Fujita Hamido , Maremmani Carlo , Cavallo Filippo 
Published: October 2020

AbstractParkinson’s disease (PD) is a progressive disorder of the central nervous system that causes motor dysfunctions in affected patients. Objective assessment of symptoms can support neurologists in fine evaluations, improving patients’ quality of care. Herein, this study aimed to develop data-driven models based on regression algorithms to investigate the potential of kinematic features to predict PD severity levels. Sixty-four patients with PD (PwPD) and 50 healthy subjects of control (HC) were asked to perform 13 motor tasks from the MDS-UPDRS III while wearing wearable inertial sensors. Simultaneously, the clinician provided the evaluation of the tasks based on the MDS-UPDRS scores. One hundred-ninety kinematic features were extracted from the inertial motor data. Data processing and statistical analysis identified a set of parameters able to distinguish between HC and PwPD. Then, multiple feature selection methods allowed selecting the best subset of parameters for obtaining the greatest accuracy when used as input for several predicting regression algorithms. The maximum correlation coefficient, equal to 0.814, was obtained with the adaptive neuro-fuzzy inference system (ANFIS). Therefore, this predictive model could be useful as a decision support system for a reliable objective assessment of PD severity levels based on motion performance, improving patients monitoring over time.
The Linguistic Formulation of Fallacies Matters: The Case of Causal Connectives
Authors: Schumann Jennifer , Zufferey Sandrine , Oswald Steve 
Published: October 2020

AbstractWhile the role of discourse connectives has long been acknowledged in argumentative frameworks, these approaches often take a coarse-grained approach to connectives, treating them as a unified group having similar effects on argumentation. Based on an empirical study of the straw man fallacy, we argue that a more fine-grained approach is needed to explain the role of each connective and illustrate their specificities. We first present an original corpus study detailing the main features of four causal connectives in French that speakers routinely use to attribute meaning to another speaker (puisque, étant donné que, vu que and comme), which is a key element of straw man fallacies. We then assess the influence of each of these connectives in a series of controlled experiments. Our results indicate each connective has different effects for the persuasiveness of straw man fallacies, and that these effects can be explained by differences in their semantic profile, as evidenced in our corpus study. Taken together, our results demonstrate that connectives are important for argumentation but should be analyzed individually, and that the study of fallacies should include a fine-grained analysis of the linguistic elements typically used in their formulation.
Mask-free three-dimensional epitaxial growth of III-nitrides
Authors: Rudziński Mariusz , Zlotnik Sebastian , Wójcik Marek , Gaca Jarosław , Janicki Łukasz , Kudrawiec Robert 
Published: October 2020

AbstractA novel catalyst-free and maskless growth approach is presented to form an ordered geometrical array of three-dimensional (3D) AlGaN/AlN microrods. The growth method is composed of a single growth step using metalorganic vapor phase epitaxy, achieving microstructures with homogeneous diameters, shapes and sizes over relatively large scale (on 2-in. wafer). The 3D AlGaN/AlN heterostructures are grown in a form of micro-sized columns elongated in one direction perpendicular to the substrate surface and with a hexagonal cross section. A careful examination of growth steps revealed that this technology allows to suppress coalescence and lateral overgrowth, promoting vertical 3D growth. Interestingly, two distinct morphologies can be obtained: honeycomb-like hexagonal arrangement perfectly packed and with twisted microrods layout, by controlling strain state in AlN buffer layers. Consequently, 3D AlGaN microrods on tensile-strained AlN templates show a 0° twisted morphology, while on compressive-strained templated a 30° twisted arrangement. Moreover, the optical and crystalline quality studies revealed that the top AlGaN layers of the examined 3D semiconductor structures are characterized by a low native point-defect concentration. These 3D AlGaN platforms can be applied for light emitting devices or sensing applications.Graphic abstract
Sarcopenia during COVID-19 lockdown restrictions: long-term health effects of short-term muscle loss
Authors: Kirwan Richard , McCullough Deaglan , Butler Tom , Perez de Heredia Fatima , Davies Ian G. , Stewart Claire 
Published: October 2020

AbstractThe COVID-19 pandemic is an extraordinary global emergency that has led to the implementation of unprecedented measures in order to stem the spread of the infection. Internationally, governments are enforcing measures such as travel bans, quarantine, isolation, and social distancing leading to an extended period of time at home. This has resulted in reductions in physical activity and changes in dietary intakes that have the potential to accelerate sarcopenia, a deterioration of muscle mass and function (more likely in older populations), as well as increases in body fat. These changes in body composition are associated with a number of chronic, lifestyle diseases including cardiovascular disease (CVD), diabetes, osteoporosis, frailty, cognitive decline, and depression. Furthermore, CVD, diabetes, and elevated body fat are associated with greater risk of COVID-19 infection and more severe symptomology, underscoring the importance of avoiding the development of such morbidities. Here we review mechanisms of sarcopenia and their relation to the current data on the effects of COVID-19 confinement on physical activity, dietary habits, sleep, and stress as well as extended bed rest due to COVID-19 hospitalization. The potential of these factors to lead to an increased likelihood of muscle loss and chronic disease will be discussed. By offering a number of home-based strategies including resistance exercise, higher protein intakes and supplementation, we can potentially guide public health authorities to avoid a lifestyle disease and rehabilitation crisis post-COVID-19. Such strategies may also serve as useful preventative measures for reducing the likelihood of sarcopenia in general and in the event of future periods of isolation.
Dimensional analysis of droplet size and ligament length during high-speed rotary bell atomization
Authors: Gödeke Lutz , Oswald Walter , Willenbacher Norbert , Ehrhard Peter 
Published: October 2020

AbstractModern spray-coating processes are based on high-volume, low-pressure, airless atomization or high-speed rotary bell atomization, often assisted by electrostatic charging to increase the transfer efficiency. The process from the liquid film flow beneath the bell, through ligament formation and consecutive disintegration to droplet deposition, has been constantly explored during the evolution of automotive spray coating. This work proposes a set of dimensionless groups that fully describe the process from film flow to ligament disintegration, including shear and elongational flow effects during atomization of particle laden, shear thinning, viscoelastic fluids.
Preliminary Findings on Proline-Rich Protein 14 as a Diagnostic Biomarker for Parkinson’s Disease
Authors: Jin Tao , Tan Xuling , Shi Xiaoliu , Lv Lingling , Peng Xinke , Zhang Hainan , Tang Beisha , Wang Chunyu , Yang Mei 
Published: October 2020

AbstractThe nuclear envelope component proline-rich protein 14 (PRR14) is involved in the nuclear morphological alteration and activation of the mTOR (mammalian target of rapamycin) signaling pathway, and has been repeatedly shown to be upregulated in patients with Parkinson’s disease (PD). The aim of this study was to explore whether PRR14 can be used as a potential biomarker for the diagnosis of PD. We compared PRR14 expression in PD patients and normal controls in gene expression omnibus (GEO) data. Quantitative enzyme-linked immunosorbent assay (ELISA) was used to detect PRR14 expression in PD patients and age- and sex-matched controls. The relationship between serum PRR14 and clinical phenotype was evaluated using correlation analysis and logistic regression. The expression of PRR14 in whole blood, substantia nigra, and medial substantia nigra was significantly higher in PD patients than in the healthy control group. Compared to plasma, serum was more suitable for the detection of PRR14. Furthermore, serum PRR14 level in PD patients was significantly higher than that in age- and sex-matched controls. The area under the curve for serum PRR14 level in the ability to identify PD versus age- and sex-matched controls was 0.786. In addition, serum PRR14 level was found to correlate with constipation in PD patients. Our findings demonstrate for the first time that serum PRR14 is a potential biomarker for PD.
Insights into kinetic inhibition effects of MEG, PVP, and L-tyrosine aqueous solutions on natural gas hydrate formation
Authors: Saberi Amir , Alamdari Abdolmohammad , Rasoolzadeh Ali , Mohammadi Amir H. 
Published: October 2020

AbstractIt is necessary to understand all the prerequisites, which result in gas hydrate formation for safe design and control of a variety of processes in petroleum industry. Thermodynamic hydrate inhibitors (THIs) are normally used to preclude gas hydrate formation by shifting hydrate stability region to lower temperatures and higher pressures. Sometimes, it is difficult to avoid hydrate formation and hydrates will form anyway. In this situation, kinetic hydrate inhibitors (KHIs) can be used to postpone formation of gas hydrates by retarding hydrate nucleation and growth rate. In this study, two kinetic parameters including natural gas hydrate formation induction time and the rate of gas consumption were experimentally investigated in the presence of monoethylene glycol (MEG), L-tyrosine, and polyvinylpyrrolidone (PVP) at various concentrations in aqueous solutions. Since hydrate formation is a stochastic phenomenon, the repeatability of each kinetic parameter was evaluated several times and the average values for the hydrate formation induction times and the rates of gas consumption are reported. The results indicate that from the view point of hydrate formation induction time, 2 wt% PVP and 20 wt% MEG aqueous solutions have the highest values and are the best choices. It is also interpreted from the results that from the view point of the rate of gas consumption, 20 wt% MEG aqueous solution yields the lowest value and is the best choice. Finally, it is concluded that the combination of PVP and MEG in an aqueous solution has a simultaneous synergistic impact on natural gas hydrate formation induction time and the rate of gas consumption. Furthermore, a semi-empirical model based on chemical kinetic theory is applied to evaluate the hydrate formation induction time data. A good agreement between the experimental and calculated hydrate formation induction time data is observed.
Double trouble? The communication dimension of the reproducibility crisis in experimental psychology and neuroscience
Authors: Hensel Witold M. 
Published: October 2020

AbstractMost discussions of the reproducibility crisis focus on its epistemic aspect: the fact that the scientific community fails to follow some norms of scientific investigation, which leads to high rates of irreproducibility via a high rate of false positive findings. The purpose of this paper is to argue that there is a heretofore underappreciated and understudied dimension to the reproducibility crisis in experimental psychology and neuroscience that may prove to be at least as important as the epistemic dimension. This is the communication dimension. The link between communication and reproducibility is immediate: independent investigators would not be able to recreate an experiment whose design or implementation were inadequately described. I exploit evidence of a replicability and reproducibility crisis in computational science, as well as research into quality of reporting to support the claim that a widespread failure to adhere to reporting standards, especially the norm of descriptive completeness, is an important contributing factor in the current reproducibility crisis in experimental psychology and neuroscience.
Cystine transporter SLC7A11/xCT in cancer: ferroptosis, nutrient dependency, and cancer therapy
Authors: Koppula Pranavi , Zhuang Li , Gan Boyi 
Published: October 2020

AbstractThe cystine/glutamate antiporter SLC7A11 (also commonly known as xCT) functions to import cystine for glutathione biosynthesis and antioxidant defense and is overexpressed in multiple human cancers. Recent studies revealed that SLC7A11 overexpression promotes tumor growth partly through suppressing ferroptosis, a form of regulated cell death induced by excessive lipid peroxidation. However, cancer cells with high expression of SLC7A11 (SLC7A11high) also have to endure the significant cost associated with SLC7A11-mediated metabolic reprogramming, leading to glucose- and glutamine-dependency in SLC7A11highcancer cells, which presents potential metabolic vulnerabilities for therapeutic targeting in SLC7A11highcancer. In this review, we summarize diverse regulatory mechanisms of SLC7A11 in cancer, discuss ferroptosis-dependent and -independent functions of SLC7A11 in promoting tumor development, explore the mechanistic basis of SLC7A11-induced nutrient dependency in cancer cells, and conceptualize therapeutic strategies to target SLC7A11 in cancer treatment. This review will provide the foundation for further understanding SLC7A11 in ferroptosis, nutrient dependency, and tumor biology and for developing novel effective cancer therapies.
Treatment of International Economic Trade in Intergovernmental Panel on Climate Change (IPCC) Reports
Authors: Dawson Jackie , Holloway Jean , Debortoli Nathan , Gilmore Elisabeth 
Published: October 2020

AbstractPurpose of the ReviewClimate change presents significant risks to the international trade and supply chain systems with potentially profound and cascading effects for the global economy. A robust international trade system may also be central to managing future climate risks. Here, we assess the treatment (or lack thereof) of trade in a selection of recent Intergovernmental Panel on Climate Change (IPCC) assessment and special reports using a quantitative text analysis. IPCC reports are considered the preeminent source of relevant climate change information and underpin international climate change negotiations.Study FindingsResults show that international trade has not had substantial coverage in recent IPCC assessments. Relevant keywords associated with trade appear in very limited ways, generally in relation to the words “product” and “transport.” These keywords are often referring to emissions associated with transportation and the movement of food and global food systems. The influence of trade is given larger consideration with respect to the costs and trade-offs of climate mitigation policies, especially the interactions with food availability, that appear in Working Group III reports compared with the risks to trade from climate change impacts in Working Group II. Trade in relation to other economic sectors is largely absent as well as risks from potential climate-related trade disruption. There is almost no treatment of the potential impacts, risks, and adaptation strategies to manage the climate related-implications for international trade.RecommendationsGiven the importance of trade to economic growth, we recommend that additional attention be paid to trade and related economic issues in future IPCC assessment and special reports, specifically on the interactions of climate impacts and risks on trade and the potential for trade to moderate these risks. To achieve this, there must be efforts to increase the base of scientific literature focused on climate change and international trade as well as increased effort made among IPCC lead authors to review trade literature that may lie outside conventional climate change scholarship.
Welcome to my church: faith-practitioners and the representation of religious traditions in secular RE
Authors: Salter Emma 
Published: October 2020

AbstractThe paper notices that faith-practitioners’ involvement, as visiting speakers or study-visit hosts, is a recommended teaching strategy in secular RE. It examines problems of authentic representation of religious traditions in secular RE and evaluates the extent to which faith-practitioners’ involvement as a learning strategy can address authentic representation of religions as a learning principle. Empirical data for the paper is drawn from four qualitative interviews with faith-practitioners from different Christian denominations about their preferred representations of Christianity during secular RE study-visits to their churches. The paper finds that faith-practitioners’ preferred representations can be categorised as insider-institutional (denominational) and insider-personal. Together, these types of representation can complement authenticity in the representation of religions in RE because they offer particular, rather than generalised, accounts of religious traditions.