bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Web-Based Training Platform for School Clinicians in Evidence-Based Practices for ADHD
Authors: Pfiffner Linda J. , Dvorsky Melissa R. , Friedman Lauren M. , Haack Lauren M. , Chung Sara , Charalel Julia M. , Hawkey Elizabeth , Spiess Madeline 
Published: November 2022

AbstractLack of training for school clinicians in evidence-based practices (EBPs) contributes to underutilization of such services for youth with attention-deficit/hyperactivity disorder (ADHD). Advances in web-based technology and videoconferencing have allowed for expanded access to and optimization of training. We describe the development and outcomes of a novel web-based platform for training school clinicians to gain skills in EBPs for school-age youth with ADHD. The training platform is adapted from an empirically supported, in-person training for a school–home behavioral intervention (Collaborative Life Skills program) and includes skill modules for working with teachers, parents, and students. Training methods include web-accessed manuals/handouts, skill example video clips, automated progress monitoring tools, and consultation/in-session coaching via videoconferencing. We gathered stakeholder qualitative and quantitative feedback during discovery and design phases of the iterative development. We then evaluated the usability, acceptability, fidelity and clinician and student outcomes of the remote training program. Focus group themes and qualitative feedback identified clinician preferences for remote training features (e.g., interactive, brief, role-plays/coaching methods), video tools (recorded samples of skills and therapy sessions), and progress monitoring tools (e.g., clear, easy to use). Clinician usability ratings of the platform were high with most components rated as moderately to very useful/easy to use. Clinician ratings of usability, fidelity implementing the treatment, and their EBP knowledge and confidence following training were favorable. Student’s outcomes were similar to those achieved in prior studies of clinician in-person training. Results support the promise of remote, web-based clinician training for the dissemination of evidence-based practices.
Seasonality and nutrition-sensitive farming in rural Northern Ghana
Authors: de Jager Ilse , van de Ven Gerrie W. J. , Giller Ken E. , Brouwer Inge D. 
Published: November 2022

Abstract
In rural sub-Saharan Africa, where malnutrition in all its forms is rife, the greatest gap between the availability of foods and the foods needed for a nutritious diet are faced during the ‘hunger season’. We investigated what rural households in Northern Ghana would need to grow to ensure year-round availability of a nutrient adequate diet or the income required to fulfil their dietary needs. We applied linear programming to model different scenarios and interventions. Our results provide three major insights. First, considering seasonality is crucial in nutrition-sensitive farming. Ensuring a nutritious diet year-round requires enhanced availability of vegetables and fruits throughout the year. Second, although staple crops do not provide the full range of essential nutrients, increasing their yields allows for a reduction of field size, freeing up space for the production of other foods belonging to a nutritious diet, such as vegetables. Third, small farms are unable to produce sufficient food to cover their needs. They depend on income both from agriculture and other sources, and the availability of types of foods on markets to meet their dietary needs. Our study shows the value of modelling the range of dietary effects from agricultural interventions in a specific context, using a local feasible nutritious diet as a starting point and taking seasonality into account.
Health Inequities in the USA: a Role for Dietary Acid Load? Results from the National Health and Nutrition Examination Surveys
Authors: Storz Maximilian Andreas 
Published: November 2022

Abstract

Background
Cardiovascular disease and obesity affect racial and ethnic minorities disproportionally. Public health research suggests that suboptimal diet is an important contributor to health disparities. Limited evidence points at an increased dietary acid load (DAL) in certain ethnic groups. DAL is determined by the balance of acidifying foods and alkaline foods, and elevated DAL scores have been associated with numerous chronic lifestyle-related conditions. The present analysis investigated DAL scores among ethnic groups in the USA.

Methods
Using cross-sectional data from the National Health and Nutrition Examination surveys (NHANES, 2007–2016), we contrasted several markers of DAL (potential renal acid load (PRAL) and net endogenous acid production (NEAP)) between Non-Hispanic Whites, Non-Hispanic Blacks, Mexican Americans, Other Hispanics, and Other Race. The comparison included crude scores and adjusted scores following multivariate linear regression.

Results
The sample for this analysis comprised 19,565 participants, which may be extrapolated to represent 156,116,471 United States Americans. When compared to Non-Hispanic Whites, Non-Hispanic Blacks and Mexican Americans had significantly higher crude DAL scores. PRALR was highest in Mexican Americans (20.42 (0.61) mEq/day), followed by Non-Hispanic Blacks (17.47 (0.42) mEq/day). Crude NEAPF was highest in Non-Hispanic Blacks (64.66 (0.43) mEq/day), and almost 9 mEq/day higher compared to Non-Hispanic Whites (55.78 (0.39) mEq/day). Multivariate linear regression adjusting for confounders revealed comparable interracial DAL differences.

Conclusions
We found significant DAL differences across the investigated ethnic groups. Whether these differences potentially play a role in population health inequity in the USA will be subject to additional research.

Graphical Abstract
GAN-based deep learning framework of network reconstruction
Authors: Xu Xiang , Zhu Xianqiang , Zhu Cheng 
Published: November 2022

AbstractInferring the topology of a network from network dynamics is a significant problem with both theoretical research significance and practical value. This paper considers how to reconstruct the network topology according to the continuous-time data on the network. Inspired by the generative adversarial network(GAN), we design a deep learning framework based on network continuous-time data. The framework predicts the edge connection probability between network nodes by learning the correlation between network node state vectors. To verify the accuracy and adaptability of our method, we conducted extensive experiments on scale-free networks and small-world networks at different network scales using three different dynamics: heat diffusion dynamics, mutualistic interaction dynamics, and gene regulation dynamics. Experimental results show that our method significantly outperforms the other five traditional correlation indices, which demonstrates that our method can reconstruct the topology of different scale networks well under different network dynamics.
The Area Enclosed by a Function Is Not Always the Definite Integral: Relearning Through Collaborative Transitioning Within a Learning-Support Module
Authors: Kontorovich Igor’ , Locke Kim 
Published: November 2022

AbstractLearning-support system is an umbrella term that we use for digital resources that assign students with mathematical questions and give automatic feedback on the inserted answers. Transitioning between questions and feedback is characteristic to students’ work with such systems. We apply the commognitive framework to explore the role of within-system transitions in students’ mathematics learning, with a special interest in what we term as “reroutinization”—a process of repeated development of conventional routines to be implemented in already familiar mathematical tasks. The study revolves around a digital module in integral calculus, which was designed to support undergraduates with finding areas enclosed by functions. The data comes from dyads and triads of first-year university students, who collaboratively interacted with the module. The analyses cast light on how transitioning within the module aided students to review familiar routines, amend them, confirm, and solidify the amendments. The transition process was not always linear and contained instances of students cycling back and forth between the assigned questions and feedback messages. We conclude with the discussion on the module’s design that afforded reroutinization and suggest paths for further research.
Application of homotopy perturbation method to the radial thrust problem
Authors: Niccolai Lorenzo , Quarta Alessandro A. , Mengali Giovanni 
Published: November 2022

AbstractThe dynamics of a spacecraft propelled by a continuous radial thrust resembles that of a nonlinear oscillator. This is analyzed in this work with a novel method that combines the definition of a suitable homotopy with a classical perturbation approach, in which the low thrust is assumed to be a perturbation of the nominal Keplerian motion. The homotopy perturbation method provides the analytical (approximate) solution of the dynamical equations in polar form to estimate the corresponding spacecraft propelled trajectory with a short computational time. The accuracy of the analytical results was tested in an orbital-targeting mission scenario.
Einfluss häuslichen, differenziellen Lernens auf die Mundhygiene bei Kindern
Authors: Leghrouz Loay , Khole Manasi R. , Splieth Christian H. , Schmoeckel Julian 
Published: November 2022

ZusammenfassungZiel: Das richtige Zähneputzen ist für Kinder ein komplizierter Prozess. Ziel dieser Studie war es daher, die Wirkung des häuslichen, differenziellen Lernens zur Verbesserung des Zähneputzens zu untersuchen. Methoden: In dieser prospektiven, kontrollierten, einfach verblindeten, randomisierten klinischen Studie wurden 44 Kinder (Alter: 5,6 ± 1,6 Jahre; 24 weiblich, Baseline QHI [Quigley-Hein-Index] > 3, PBI [Papillenblutungsindex] > 0,3, mittlerer dmft = 9 bzw. DMFT = 1,6) zufällig einer Test- und einer Kontrollgruppe (jede Gruppe n = 22) zugeteilt, indem das Kind selbst einen unbeschrifteten Umschlag aus einer Kiste zog. Alle Kinder erhielten die Anweisungen und Informationen zur Mundhygiene in diesen verschlossenen Umschlägen und wurden aufgefordert, diese Anweisungen zu Hause zu befolgen. Lediglich die Kinder der Testgruppe erhielten Instruktionen mit Übungen nach der Methodik des differenziellen Lernens, während die Kinder der Kontrollgruppe Instruktionen zum Putzen nach der KAI-Putztechnik erhielten. Bei Studienbeginn und Follow-ups nach 4 und 12 Wochen wurden Plaque- und Gingivaindizes (QHI, PBI) in beiden Gruppen durch 2 kalibrierte und verblindete Untersucher (L.L. und M.K.) erhoben.Ergebnisse: Zu Studienbeginn gab es keine signifikanten Unterschiede zwischen der Test- und der Kontrollgruppe in Bezug auf Plaque- und Gingivaindizes (QHI: 4,2 ± 0,5 und 4,2 ± 0,5; p = 0,9; PBI: 0,7 ± 0,4 und 0,6 ± 0,2; p = 0,8). Bei den Follow-ups nach 4 und 12 Wochen zeigten beide Gruppen bessere Mundgesundheitsindizes, die Testgruppe aber insgesamt deutlicher. Der Unterschied bei den Plaqueindizes verfehlte knapp die statistische Signifikanz (4-Wochen-Recall; QHI/Test: 2,1 ± 0,9; Kontrolle: 2,6 ± 0,9; p = 0,1). Dagegen zeigte sich im 4-Wochen-Recall bereits ein statistisch signifikanter Unterschied bezüglich der Gingivaindizes (PBI/Test: 0,1 ± 0,2 vs. Kontrolle: 0,4 ± 0,2; p <0,001). Beim 12-Wochen-Recall zeigte die Testgruppe statistisch signifikante und klinisch relevante bessere Mundgesundheitsindizes als die Kontrollgruppe (12-Wochen-Recall, QHI/Test: 1,9 ± 0,8 vs. Kontrolle: 3,3 ± 0,9; p <0,001; PBI/Test: 0,1 ± 0,1 vs. Kontrolle: 0,5 ± 0,2; p <0,001). Schlussfolgerungen: Schlussfolgernd kann festgestellt werden, dass das differenzielle Lernen auch bei Kindern mit hohem Kariesrisiko und initial schlechter Mundhygiene zu Mundhygieneverbesserungen führt, die der konventionellen Lernmethode durch Wiederholung mittelfristig überlegen ist.
When does public diplomacy work? Evidence from China's “wolf warrior” diplomats
Authors: Mattingly Daniel C. , Sundquist James 
Published: November 2022

AbstractHow does public diplomacy shape global public opinion? In this note, we theorize that positive public diplomacy that emphasizes aid and friendship works, while negative messages that criticize international rivals are ineffective. We conduct an experiment, to our knowledge the first of its kind, that randomly exposes Indian citizens to real Twitter messages from Chinese diplomats. We find that positive messages emphasizing aid and friendship improve perceptions of China, even in times of escalating violent conflict. However, messages from so-called “Wolf Warrior” diplomats that harshly criticize the United States are ineffective and can backfire in times of crisis. We argue public diplomacy can be a useful tool for global powers, but that domestic political pressures have pushed some diplomats, like China's Wolf Warriors, toward nationalist messages that do not appeal to foreign audiences.
Conjugacy conditions for supersoluble complements of an abelian base and a fixed point result for non-coprime actions
Authors: Burkhart Michael C. 
Published: November 2022

AbstractWe demonstrate that two supersoluble complements of an abelian base in a finite split extension are conjugate if and only if, for each prime $p$, a Sylow $p$-subgroup of one complement is conjugate to a Sylow $p$-subgroup of the other. As a corollary, we find that any two supersoluble complements of an abelian subgroup $N$ in a finite split extension $G$ are conjugate if and only if, for each prime $p$, there exists a Sylow $p$-subgroup $S$ of $G$ such that any two complements of $S\cap N$ in $S$ are conjugate in $G$. In particular, restricting to supersoluble groups allows us to ease D. G. Higman's stipulation that the complements of $S\cap N$ in $S$ be conjugate within $S$. We then consider group actions and obtain a fixed point result for non-coprime actions analogous to Glauberman's lemma.
Fake Products, Real Effects: Evidence from Special 301 Actions
Authors: Canayaz Mehmet I. , Gurun Umit G. 
Published: November 2022

AbstractWe study how the U.S. government’s anti-counterfeiting enforcement actions through Special 301 Reports influence U.S. businesses. We show that anti-counterfeiting enforcement in foreign countries improves U.S. firms’ sales, profitability, and valuations. Firms significantly reduce capital and research and development investments when their brands and products are protected from counterfeiting activities. Anti-counterfeiting enforcement measures also improve brand asset value, brand profitability, brand inventiveness, market penetration, and customer loyalty.
Spillover Effects of the Opioid Epidemic on Consumer Finance
Authors: Jansen Mark 
Published: November 2022

AbstractI examine the impact of the opioid epidemic on subprime auto lending. Using a difference-in-differences framework, I find that county-level increases in opioid abuse cause an increase in loan defaults. Moreover, I find that traditional credit scoring attributes (e.g., FICO score) fail to predict loan performance deterioration associated with opioid addiction. The weak predictive performance of traditional credit measures and the resulting higher default rates generate a negative externality for borrowers in opioid-afflicted areas, as evidenced by 5.7% higher loan costs for subprime borrowers.
Evidence for functional improvement in reward anticipation in recent onset schizophrenia after one year of coordinated specialty care
Authors: Smucny Jason , Lesh Tyler A. , Niendam Tara A. , Ragland J. Daniel , Tully Laura M. , Carter Cameron S. 
Published: November 2022

AbstractBackgroundMotivational impairment associated with deficits in processing the anticipation of future reward is hypothesized to be a cardinal feature of schizophrenia spectrum disorders (SZ). Evidence from short-term follow-up (6-week post-treatment) studies suggests that these deficits may improve or be reversed with treatment, although longer-term outcomes are unknown. Here we examined the one-year trajectory of functional activation in brain circuitry associated with reward anticipation in people with recent onset SZ who participated in coordinated specialty care (CSC) treatment, hypothesizing normalization of brain response mirroring previous short-term findings in first-episode individuals.MethodBlood oxygen level-dependent (BOLD) response in the dorsal anterior cingulate cortex, anterior insula, and ventral striatum (VS) associated with reward anticipation during the Incentivized Control Engagement Task (ICE-T) was analyzed in a baseline sample of 49 healthy controls (HCs) and 52 demographically matched people with SZ, with follow-up data available for 35 HCs and 17 people with SZ.ResultsIn agreement with our hypothesis, significant time × diagnosis interactions were observed across all regions, in which reward anticipation-associated BOLD response increased in SZ to above baseline HC levels at follow-up. Increased VS activation was associated with decreased reality distortion symptoms over the follow-up period. Baseline reward anticipation-associated BOLD response in the right anterior insula was associated with improvement in reality distortion symptoms.ConclusionsThese findings suggest that functional deficits in reward anticipation may be reversed after one year of CSC in recent onset participants with SZ, and that this improvement is associated with reduced positive symptoms in the illness.
Mental health and the law: What else is needed for particularly vulnerable contexts facing armed conflict and development obstacles?
Authors: Miller Sarah 
Published: November 2022

AbstractMental disorders have high prevalence for disability and almost 80% of the global burden occurs in low- and middle-income countries. The impacts of mental health conditions can affect many sectors of society and threaten peace, human rights and development. However, international law jurisprudence has not sufficiently developed to guide mental health governance. This paper reviews the international legal protections for people who experience mental health conditions, including mental disorders and psychosocial disabilities. It focuses on State application of legal instruments in particularly vulnerable contexts, namely, least developed countries and situations of armed conflict. It argues that relying on existing treaties and soft-law instruments from the health and human rights angles is inadequate, and the Convention on the Rights of Persons with Disabilities is not the right fit. New hard- and soft-law instruments are urgently needed to meet positive obligations and safeguard rights in these vulnerable contexts. Some suggestions for the contents of future instruments are made.
How Dropping Subjects Who Failed Manipulation Checks Can Bias Your Results: An Illustrative Case
Authors: Varaine Simon 
Published: November 2022

AbstractManipulations checks are postexperimental measures widely used to verify that subjects understood the treatment. Some researchers drop subjects who failed manipulation checks in order to limit the analyses to attentive subjects. This short report offers a novel illustration on how this practice may bias experimental results: in the present case, through confirming a hypothesis that is likely false. In a survey experiment, subjects were primed with a fictional news story depicting an economic decline versus prosperity. Subjects were then asked whether the news story depicted an economic decline or prosperity. Results indicate that responses to this manipulation check captured subjects’ preexisting beliefs about the economic situation. As a consequence, dropping subjects who failed the manipulation check mixes the effects of preexisting and induced beliefs, increasing the risk of false positive findings. Researchers should avoid dropping subjects based on posttreatment measures and rely on pretreatment measures of attentiveness.
Can Addressing Integrity Concerns about Mail Balloting Increase Turnout? Results from a Large-Scale Field Experiment in the 2020 Presidential Election
Authors: Biggers Daniel R. , Elder Elizabeth Mitchell , Hill Seth J. , Kousser Thad , Lenz Gabriel S. , Lockhart Mackenzie 
Published: November 2022

AbstractThe 2020 presidential election brought expanded vote-by-mail opportunities, a rise in attacks on this process’s integrity, and the implementation of novel programs such as California’s Where’s My Ballot? system to ensure confidence in mail balloting. Can heightening awareness of this ballot-tracking system and other election protections alleviate fraud concerns and raise turnout? We assess whether messages reinforcing election integrity increased participation in the 2020 election through a large-scale voter mobilization field experiment. California registrants were mailed a letter that described either existing safeguards to prevent vote-by-mail fraud or the ability to track one’s ballot and ensure that it was counted. Analysis of state voter records reveals that neither message increased turnout over a simple election reminder or even no contact, even among subgroups where larger effects might be expected. In the context of a high-profile, high-turnout presidential election, assurances about ballot and electoral integrity did not increase turnout.
MagInfoNet: Magnitude Estimation Using Seismic Information Augmentation and Graph Transformer
Authors: Chen Ziwei , Wang Zhiguo , Wu Shaojiang , Wang Yibo , Gao Jinghuai 
Published: November 2022

AbstractIn this study, we propose a reliable data‐driven tool, MagInfoNet, to enhance the accuracy of magnitude estimation. Its architecture was assembled using the Pre‐Inform and Mag‐Pred modules to replace and update the key functions of traditional seismic analysis workflows. The Pre‐Inform module with the residual network was used for data pretreatment by combining the intrinsic characteristics of seismic signals with the potential features of the arrival and travel times. Meanwhile, using a graph transformer with an improved cyclic graph, the Mag‐Pred module was used to calculate magnitudes by the preprocessed information and the autocorrelation of seismic time series. Training and testing data were randomly selected from the Stanford Earthquake Data Set. The results show that the estimation accuracy, generalization, and robustness of the proposed MagInfoNet are better than those of three machine learning models. Besides, MagInfoNet can perform better for those samples with larger epicentral distances, enhancing the monitoring capacity of existing system for earthquake events in remote areas. Finally, we discuss the interpretability of the explainable MagInfoNet to verify the role of advanced neural network modules.