bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic review of the association between parent‐child communication and adolescent mental health
Authors: Zapf Holger , Boettcher Johannes , Haukeland Yngvild , Orm Stian , Coslar Sarah , Fjermestad Krister 
Published: November 2023

AbstractBackgroundThis systematic review addresses how adolescent‐rated parent‐child communication (PCC) quality is related to adolescent mental health.MethodsWe performed a systematic literature search in Medline and APA PsycInfo, including peer‐reviewed quantitative studies examining associations between adolescent‐rated dyadic PCC quality and general as well as specific measures of adolescent mental health. Qualitative and case studies were excluded, as were studies reporting only parent‐rated communication quality or instruments assessing other constructs than dyadic PCC. We screened 5314 articles, of which 37 were included in the review. We assessed study quality with the Mixed Methods Appraisal Tool.ResultsWe synthesized the findings in a table and narratively, reporting the main outcomes organized according to mental health constructs. The included studies were mainly cross‐sectional. The results showed that adolescent‐rated PCC quality is negatively associated with mental health constructs, demonstrating small to large effects across different mental health constructs and populations. The associations were found for general mental health and specific domains, including depression, anxiety, psychosis, suicidal ideation, post‐traumatic stress symptoms, and addictive internet use/gaming.ConclusionsThe findings demonstrate that PCC is a relevant variable to consider in assessing adolescent mental health and preventive efforts. Limitations include the exclusive focus on adolescent‐reported PCC questionnaires since parent‐ and observer‐rated instruments may lead to different results. Also, PCC is related to other constructs, such as dyadic relationships, that were not included in this review. We conclude that PCC is a relevant variable to consider in mental health research. Our findings suggest that PCC may be considered in mental health practice, both in terms of assessing its quality and potentially by tailoring interventions to enhance PCC. These may represent a mean to promote adolescent mental health.
Characteristics and prediction of risky gambling behaviour study: A study protocol
Authors: Czernecka Robert , Wirkus Theresa , Bühringer Gerhard , Kräplin Anja 
Published: November 2023

AbstractObjectiveThis study protocol describes the RIGAB study, a prospective case‐control‐study assessing online sports betting behaviour and underlying risk factors for the development of gambling disorder (GD). It has two aims: (1) to characterise sports bettors concerning putative risk factors and their gambling behaviour, and (2) to predict the development of GD from these factors.MethodsAt baseline, online sports bettors took part in an online survey comprising a GD screening (DSM‐5), questions on gambling behaviour and on the putative risk factors emotion regulation, impulsivity, comorbidities, stress, and substance use. Participants were reinvited for a 1‐year follow‐up online survey. In a nested design, a subsample was invited in‐person to take part in a cognitive‐behavioural task battery and a clinical interview.ResultsOf the initial 6568 online sports bettors invited, 607 participated at baseline (rate: 9.2%), 325 took part in the 1‐year follow‐up and 54 participated in the nested in‐person assessment.ConclusionThe RIGAB study combines different fields of GD studies: player tracking data and putative risk factors from self‐report and behavioural tasks. The results of this study will support the development of preventive measures for participants of online gambling based on the combined findings from previously rather distinct research fields.
Home schooling during the COVID‐19 pandemic: A randomized controlled trial of online exercise and ergonomics advice protocols on upper body symptoms
Authors: Karimian Razieh , Burton Kim , Naghizadeh Mohammad Mehdi , Karimian Maryam , Xirouchaki Chrisa Eleni , Sobhanipur Mostafa , Gholami Tahereh 
Published: November 2023

AbstractBackgroundUnderstanding of students' musculoskeletal health under home‐schooling during the COVID‐19 pandemic is limited.Objectives(1) To investigate the prevalence and severity of musculoskeletal symptoms in home‐schooled adolescents during the COVID‐19 pandemic. (2) To evaluate the effect of an online exercise + ergonomics advice protocol on symptoms, compared with ergonomics advice alone.DesignCross‐sectional symptom survey identifying eligible participants, followed by a pragmatic randomized controlled trial.SettingOnline classes.ParticipantsSurvey: 354 students (mean 16.6 years). Trial: 188 students with upper body musculoskeletal symptoms.InterventionsRandomization to three groups (physical therapy exercises + ergonomics postural advice, ergonomics postural advice alone, nonintervention control) stratified by the site of symptoms (neck, shoulder, upper back). Interventions were orally delivered online (via WhatsApp) supplemented with written/illustrative material. Follow‐up occurred at 8 weeks.Outcome MeasuresSurvey: prevalence of symptoms (Nordic Questionnaire). Trial: primary outcome = change in intensity of upper body symptoms (visual analogue scale); secondary outcome = number of participants reporting improvement in upper body symptoms.ResultsThe 12‐month prevalence of musculoskeletal disorders in the survey was 38% neck, 28% shoulder, and 35% upper back, with mean pain intensity of 3.6, 3.9, and 3.8, respectively, on 0–10 visual analogue scale: Two‐thirds reported symptoms in multiple anatomical regions. In the trial, there was no statistically significant difference between the exercise + ergonomics group and ergonomics alone group on the primary outcome, yet both groups showed reduced symptom intensity compared with control (p < .001). More participants in the exercise + ergonomics group reported improvement than in the ergonomics advice alone group (p < .02).ConclusionsThe prevalence of musculoskeletal symptoms was relatively high in home‐schooled adolescents. Symptoms can be reduced by ergonomics advice with or without exercises, but the effect is enhanced by the addition of physical therapy exercises. The latter approach may be considered for improving schoolchildren's musculoskeletal health in the usual classroom setting.
Event‐ driven‐observer‐based adaptive distributed sliding mode fault compensation control for interconnected nonlinear systems
Authors: Guo Bin , Dian Songyi , Zhao Tao 
Published: November 2023

AbstractIn this paper, an event‐driven‐observer‐based distributed adaptive sliding mode fault compensation control method is presented for a class of nonlinear interconnected systems in the occurrence of actuator faults and disturbances. First, a novel event‐based estimator is designed to acquire the state, fault, and lumped disturbance information. Then, by utilizing the observer outputs, an adaptive tracking‐error‐based event condition is established, based on which a distributed sliding mode fault compensation controller is designed. In the proposed control framework, on the one hand, to enhance the robustness and tracking accuracy, two adaptive parameters are constructed; on the other hand, an adaptive event‐based control mechanism is integrated to save the transmission resources. The Zeno phenomenon avoidance performance is analyzed and, finally, the applications to an inverted pendulum system and a machine power system are given to verify the fault tolerance ability of the proposed method.
Dynamic boundary layer super‐twisting sliding mode control algorithm based on RBF neural networks for a class of leader‐follower multi‐agent systems
Authors: Jia Chao , Shangguan Xuanyue , Zheng Linxin 
Published: November 2023

AbstractIn this paper, the consensus problem of robust sliding mode fault tolerance for a class of leader‐follower multi‐agent systems is discussed. Aiming at a second‐order multi‐agent system with unknown model uncertainty and external disturbance, a new super‐twisting sliding mode control method based on a dynamic boundary layer and neural network is proposed. Firstly, the super‐twisting controller is designed by introducing two new variables, the convergence speed of the control system is greatly improved, and the symbolic function is replaced by an improved dynamic boundary layer, which will be continuously adjusted with the system states, the tracking accuracy of the system is improved, and the chattering problem caused by symbolic function is overcome effectively. Secondly, an radial basis function neural network is used to realize the adaptive approximation to the completely unknown model, so that the controller does not need to depend on the precise mathematical model of the controlled system, and the stability of the closed‐loop system is ensured by adjusting the adaptiveweight. Thirdly, the stability of the whole system is analyzed by the Lyapunov method, and the upper bound of robust consensus error is given by constructing an equivalence relation, meanwhile, the upper bound of the final convergence of the sliding variable in the dynamic boundary layer is analyzed. Finally, the simulation results for a second‐order system show the superior performance of the proposed control algorithm, then it is extended to a class of application systems, and the same conclusion is obtained.
A damped elastodynamics system under the global injectivity condition: local wellposedness in $$L^p$$-spaces
Authors: Court Sébastien 
Published: November 2023

AbstractThe purpose of this paper is to model mathematically mechanical aspects of cardiac tissues. The latter constitute an elastic domain whose total volume remains constant. The time deformation of the heart tissue is modeled with the elastodynamics equations dealing with the displacement field as main unknown. These equations are coupled with a pressure whose variations characterize the heart beat. This pressure variable corresponds to a Lagrange multiplier associated with the so-called global injectivity condition. We derive the corresponding coupled system with nonhomogeneous boundary conditions where the pressure variable appears. For mathematical convenience a damping term is added, and for a given class of strain energies we prove the existence of local-in-time solutions in the context of the $$L^p$$

L
p

-parabolic maximal regularity.
Multi-GNSS ultra-rapid orbit determination through epoch-parallel processing
Authors: Tang Longjiang , Wang Jungang , Zhu Huizhong , Ge Maorong , Xu Aigong , Schuh Harald 
Published: November 2023

AbstractHigh-precision Global Navigation Satellite Systems (GNSS) orbits are critical for real-time clock estimation and precise positioning service; however, the prediction error grows gradually with the increasing prediction session. In this study, we present a new efficient precise orbit determination (POD) strategy referred to as the epoch-parallel processing to reduce the orbit update latency, in which a 24-h processing job is split into several sub-sessions that are processed in parallel and then stacked to solve and recover parameters subsequently. With a delicate handling of parameters crossing different sub-sessions, such as ambiguities, the method is rigorously equivalent to the one-session batch solution, but is much more efficient, halving the time-consuming roughly. Together with paralleling other procedures such as orbit integration and using open multi-processing (openMP), the multi-GNSS POD of 120 satellites using 90 stations can be fulfilled within 30 min. The lower update latency enables users to access orbits closer to the estimation part, that is, 30–60-min prediction with a 30-min update latency, which significantly improves the orbit quality. Compared to the hourly updated orbit, the averaged 1D RMS values of predicted orbit in terms of overlap for GPS, GLONASS, Galileo, and BDS MEO are improved by 39%, 35%, 41%, and 37%, respectively, and that of BDS GEO and IGSO satellites is improved by 47%. We also demonstrate that the boundary discontinuities of half-hourly orbit are within 2 cm for the GPS, GLONASS, and Galileo satellites, and for BDS the values are 2.6, 15.5, and 9.8 cm for MEO, GEO, and IGSO satellites, respectively. This method can also be implemented for any batch-based GNSS processing to improve the efficiency.
Beyond BCMA, why GPRC5D could be the right way: treatment strategies with immunotherapy at relapse after anti-BCMA agents
Authors: Del Giudice Maria Livia , Galimberti Sara , Buda Gabriele 
Published: November 2023

AbstractMultiple Myeloma remains incurable, and there is a need for therapies with novel mechanisms of action. Recently, B cell maturation antigen targeted therapy has demonstrated deep and durable responses in a largely treated population. However, the relapse rate of myeloma patients after anti-BCMA treatment strategies is increasing worldwide, and one of the most challenging issues for them is to choose the best therapy sequencing. After anti-BCMA treatment, retreatment with anti-BCMA drugs remains an option, but new targets are emerging strongly. One of them is G protein-coupled receptor, class C group 5 member D (GPRC5D), that due to the very promising data from the use of chimeric antigen receptor T-cells (CAR-T) and bispecific antibodies (BsAb) seems to be the ideal candidate in the relay of myeloma treatment at relapse. In this literature review, we discuss data from treatment with the new drugs at relapse after anti-BCMA therapies, observing an undeniable benefit from the use of drugs directed against GPRC5D.
Academic achievement of children with autistic symptoms compared to typically developing children
Authors: Sari Novika Purnama , Luijk Maartje P. C. M. , Jansen Pauline W. , Prinzie Peter , van IJzendoorn Marinus 
Published: November 2023

AbstractChildren with autistic symptoms experience challenges in school settings, yet little is known about their academic profiles and the mechanisms underlying the association between autistic symptoms and academic achievement. This study examined the association between autistic symptoms and academic achievement in a population-based sample of children with and without (sub)clinical autism spectrum disorder (ASD). We also investigated potential sex differences and assessed if the association is mediated by vocabulary skills and behavior problems. Information was available for 2038 participants (48.3% boys), and autistic symptoms were assessed using the Social Responsiveness Scale (M = 6.8 years). Diagnosis of ASD was clinically confirmed in 28 children. Academic achievement was determined by a nationwide, standardized test assessed at the end of primary school (M = 11.8 years). Children with more autistic symptoms in early childhood had lower achievement scores in language, mathematics, and world orientation by the end of primary education. There were no sex differences. Furthermore, vocabulary skills and behavior problems partly mediated the association between autistic symptoms and academic achievement. Then, by using propensity matching technique, we compared 140 matched typically developing peers with 28 children diagnosed with ASD. These results indicated no differences in academic achievement between children diagnosed with ASD and their matched typically developing peers. We conclude that autistic symptoms associate with lower academic achievement but by carefully matching on background variables and potential confounders, the academic achievement of children with clinical ASD might not differ from that of their typically developing peers.
Dynamic Investigations of an Endogenous Business Cycle Model with Heterogeneous Agents
Authors: Bougheas Spiros , Commendatore Pasquale , Gardini Laura , Kubin Ingrid 
Published: November 2023

Abstract
We introduce agents’ heterogeneity into a model of endogenous business cycles, in which agents can invest either in ‘good’ projects that contribute to future capital formation, or in ‘bad’ projects without that property. The resulting map involves three distinct regimes, two of which we linearize. Using theoretical results on piecewise linear systems and on border collision bifurcations, we are able to provide a thourough analysis of the dynamics.
How Rigorous is Active Learning Research in STEM Education? An Examination of Key Internal Validity Controls in Intervention Studies
Authors: Martella Amedee Marchand , Martella Ronald C. , Yatcilla Jane K. , Newson Alexandra , Shannon Eric N. , Voorhis Charissa 
Published: November 2023

AbstractActive learning is a popular approach to teaching and learning that has gained traction through research on STEM educational improvement. There have been numerous university- and national/international-level efforts focused on transitioning courses from the lecture method to active learning. However, despite these large-scale changes, the active learning literature has not been assessed on its methodological rigor to ensure instructional recommendations are rooted in rigorous research studies. The purpose of the present review was to determine areas of strengths and areas in need of improvement and to provide specific recommendations on how to continue or improve active learning research to strengthen the respective literature base and increase confidence in results. We assessed the articles included in the Freeman et al. (PNAS, 111:8410–8415, 2014) meta-analysis as well as a random sample of more recent active learning articles (2015–2022) on 12 internal validity controls (i.e., control procedure used to prevent a threat to the internal validity of a study). Results indicated that there were high percentages of articles that did not meet each internal validity control. In fact, no articles from the Freeman et al. meta-analysis and no sampled 2015–2022 articles met each of the 12 internal validity controls. Therefore, the active learning literature contains numerous internal validity control issues that need to be addressed if we are to determine the extent to which active learning interventions are effective and if there are any boundary conditions for when particular active learning interventions are or are not effective.
Collective pedagogical content knowledge for teaching sustainable development
Authors: Forsler Annika , Nilsson Pernilla , Walan Susanne 
Published: November 2023

AbstractIt is vital that upper secondary students gain a rich and deep knowledge of sustainability issues, as they will enter adulthood and working life within a short time. The students belong to a generation that will be intensely involved in managing several environmental issues to achieve sustainable development for our Earth. However, earlier research indicates that many teachers have a low self-efficacy for teaching sustainability issues. This study aimed to explore how science teacher teams in Swedish upper secondary schools can develop their knowledge and expertise in sustainable development (SD) through collective reflections with the support of the reflective tool Content Representation (CoRe). Science teachers’ pedagogical content knowledge (PCK) development in teaching SD was examined. Twelve in-service science teachers participated in the study. The qualitative research design included semi-structured interviews and science teacher teams’ collective meetings. The findings covered four themes about how the collective reflections with support of the CoRe tool stimulated teachers’ PCK development: (1) creating structure and a focus for learning conversations, (2) modification of the teaching approach, (3) development of new content knowledge and pedagogical knowledge in SD, and (4) shared language to stimulate equal opportunities for students to learn SD. The conclusion is that with the support of CoRe, the teacher team’s collective PCK in SD was developed; therefore, we recommend that decision-makers within the school system organize regular meetings in science teacher teams and introduce CoRe to the teachers.
The Polarization of Plasmonic Field and Depolarization Factor for The Ellipsoid in Semiconductor Quantum Dot-metallic Nano Ellipsoid System
Authors: Abd-Elsamie Asmaa M. , Abd-Elnabi Somia , Osman Kariman I. 
Published: November 2023

AbstractWe theoretically study the polarization of plasmonic fields in a hybrid nanosystem composed of three different metallic nano ellipsoid and a semiconductor quantum dot. The components of the hybrid nanosystem interact with three electromagnetic fields and one another via dipole-dipole interactions. We derive the density matrix equations at a steady state for the description of the optical properties of the hybrid nanosystem. The polarization of the plasmonic fields induced on the prolate, spherical, and oblate nano ellipsoid is calculated. We find that the polarization of the plasmonic fields depends on the number of the metallic nanoparticles (ellipsoid), the depolarization factor of the metallic nano ellipsoid, the direction of the plasmonic field, and the metallic nano ellipsoid parameters of the hybrid nanosystem. The phenomena of electromagnetically induced transparency (EIT) and electromagnetically induced transparency with amplification (EITA) are obtained in this work.
Temporal changes in mixing effects on litter decay and nitrogen release in a boreal riparian forest in northeastern China
Authors: Wang Simin , Liu Bo , Li Rui , Sun Xiaoxin , Mao Rong 
Published: November 2023

AbstractIn riparian forests, litter decay provides essential energy and nutrients for both terrestrial and fluvial ecosystems. Litter mixing effects (LMEs) are crucial in regulating litter decay and nutrient dynamics, yet how LMEs change over time is unclear in riparian forests. In this study, leaf litter of three common species (Alnus sibirica Fisch. ex Turcz, Betula platyphylla Sukaczev, and Betula fruticosa Pall.) were mixed in an equal mass ratio and LMEs were measured for mass and nitrogen (N) remaining in whole litter mixtures over a 3-year period in a boreal riparian forest, northeastern China. LMEs were also assessed for component litter mass and N remaining by separating litter mixtures by species. During the decay of litter mixtures, antagonistic effects on mass and N remaining were dominant after one and two years of decay, whereas only additive effects were observed after three years. LMEs correlated negatively with functional diversity after the first and two years of decay but disappeared after three years. When sorting litter mixtures by species, non-additive LMEs on mass and N remaining decreased over incubation time. Moreover, non-additive LMEs were more frequent for litter of both B. platyphylla and B. fruticosa with lower N concentration than for A. sibirica litter with higher N concentration. These results indicate that incubation time is a key determinant of litter mixing effects during decay and highlight that late-stage litter mixture decay may be predicted from single litter decay dynamics in boreal riparian forests.